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Open Access Highly Accessed Research article

Molecular phenotype of zebrafish ovarian follicle by serial analysis of gene expression and proteomic profiling, and comparison with the transcriptomes of other animals

Anja Knoll-Gellida1, Michèle André1, Tamar Gattegno2, Jean Forgue1, Arie Admon2 and Patrick J Babin1*

Author Affiliations

1 Génomique et Physiologie des Poissons, UMR NUAGE, Université Bordeaux 1, 33405 Talence cedex, France

2 Department of Biology, Technion-Israel Institute of Technology, Haifa 32000, Israel

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BMC Genomics 2006, 7:46  doi:10.1186/1471-2164-7-46

The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1471-2164/7/46


Received:7 December 2005
Accepted:9 March 2006
Published:9 March 2006

© 2006 Knoll-Gellida et al; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background

The ability of an oocyte to develop into a viable embryo depends on the accumulation of specific maternal information and molecules, such as RNAs and proteins. A serial analysis of gene expression (SAGE) was carried out in parallel with proteomic analysis on fully-grown ovarian follicles from zebrafish (Danio rerio). The data obtained were compared with ovary/follicle/egg molecular phenotypes of other animals, published or available in public sequence databases.

Results

Sequencing of 27,486 SAGE tags identified 11,399 different ones, including 3,329 tags with an occurrence superior to one. Fifty-eight genes were expressed at over 0.15% of the total population and represented 17.34% of the mRNA population identified. The three most expressed transcripts were a rhamnose-binding lectin, beta-actin 2, and a transcribed locus similar to the H2B histone family. Comparison with the large-scale expressed sequence tags sequencing approach revealed highly expressed transcripts that were not previously known to be expressed at high levels in fish ovaries, like the short-sized polarized metallothionein 2 transcript. A higher sensitivity for the detection of transcripts with a characterized maternal genetic contribution was also demonstrated compared to large-scale sequencing of cDNA libraries. Ferritin heavy polypeptide 1, heat shock protein 90-beta, lactate dehydrogenase B4, beta-actin isoforms, tubulin beta 2, ATP synthase subunit 9, together with 40 S ribosomal protein S27a, were common highly-expressed transcripts of vertebrate ovary/unfertilized egg. Comparison of transcriptome and proteome data revealed that transcript levels provide little predictive value with respect to the extent of protein abundance. All the proteins identified by proteomic analysis of fully-grown zebrafish follicles had at least one transcript counterpart, with two exceptions: eosinophil chemotactic cytokine and nothepsin.

Conclusion

This study provides a complete sequence data set of maternal mRNA stored in zebrafish germ cells at the end of oogenesis. This catalogue contains highly-expressed transcripts that are part of a vertebrate ovarian expressed gene signature. Comparison of transcriptome and proteome data identified downregulated transcripts or proteins potentially incorporated in the oocyte by endocytosis. The molecular phenotype described provides groundwork for future experimental approaches aimed at identifying functionally important stored maternal transcripts and proteins involved in oogenesis and early stages of embryo development.

Background

Folliculogenesis and oogenesis include the formation of ovarian follicles, the initiation and completion of meiosis, and the accumulation of specific information and molecules such as RNAs, proteins, or imprinted genes in the female germ cells to sustain embryo development to the stage where zygotic gene activation takes over [1-3].

The zebrafish, Danio rerio, is currently the most popular fish model in developmental and genomic analyses and a genome sequencing project is currently underway [4]. A large number of expressed sequence tags (ESTs) is already available [5]. A number of methods are currently used for gene expression profiling. They differ in scale, economy, and sensitivity. Delineation of the transcriptome of teleost fish ovaries has been evaluated using large-scale EST sequencing [6] of cDNA libraries of zebrafish [7] and Atlantic salmon [8,9] or subtractive hybridisation of cDNA libraries [10] of medaka [11] or rainbow trout [12] gonads. While these methods give an idea of transcript abundance or enrichment in a specific tissue, a few genes expressed at high levels usually represent a large proportion of the total transcripts and are thus more frequently represented in the EST database [13].

Serial analysis of gene expression (SAGE) based on the enumeration of directionally reliable short cDNA sequences (tags), provides qualitative as well as quantitative analysis of a large number of genes in a defined tissue [14,15]. This is a method of choice for discovering novel genes and spliced variants. This technique has been widely applied in human studies and various SAGE tags/SAGE libraries have been generated from different cells/tissues, including human oocytes [16,17], thus enabling the successful identification of differentially expressed genes in normal physiological processes and pathological conditions [18].

The aim of this work was to profile the transcriptome of fully-grown zebrafish follicles using the SAGE method and compare it with the protein repertoire determined at the same stage of oogenesis after one- (1D) and two-dimensional (2D)-polyacrylamide-gel electrophoresis (PAGE) protein fractionation and in-gel proteolysis, followed by tandem mass spectrometry (MS/MS) identification of the resulting peptides [19]. The database generated was compared with several vertebrate ovary/unfertilized egg transcriptomes generated with the large-scale EST sequencing approach in order to identify functionally important maternal transcripts and proteins stored in germ cells.

Results

Zebrafish fully-grown follicle transcriptome

An essential step in SAGE library analysis is the unambiguous assignment of each SAGE tag to the corresponding mRNA or EST sequence. This tag-to-gene mapping requires an initial in silico SAGE tag extraction of virtual tags found in public EST/cDNA sequence databases. Existing web sites [20-23] provide the correspondence between SAGE tags and transcripts. A limited number of species have been subjected to SAGE analysis, as seen on the SAGEmap web site [20,24], which presents SAGE tag to UniGene mapping for eighteen species. As no previous study had used the SAGE strategy in any fish species, there was no in silico SAGE tag database available for zebrafish. A generic computer package named FISHTAG was designed to extract virtual SAGE tags from UniGene and TIGR EST databases and generate a zebrafish in silico SAGE tag database, ZEBRATAG. Applying SAGE to the zebrafish fully-grown ovarian follicle generated a catalogue of 27,486 sequenced tags, ZEBRAOV. The list of these experimental SAGE tags and their relative frequencies were deposited in the NCBI gene expression and hybridization array data repository (GEO) [25] under accession number GSE3679 (Additional file 1: Table 1). Analysing these tags led to the identification of 11,399 unique transcripts, including 3,329 tags with an occurrence superior to one. ZEBRAOV was subdivided into eighty-three abundance classes, from 1 to 284 tag copies per tag species (Figure 1), according to frequency of occurrence.

Table 1. Transcripts expressed at over 0.15% in zebrafish fully-grown ovarian follicle as evaluated by the presence of their corresponding SAGE tag

thumbnailFigure 1. Distribution of ZEBRAOV library SAGE tags by abundance classes. The library was subdivided into 83 abundance classes, from 1 to 284 tag copies per tag species, according to the occurrence frequency of each tag species. Tag frequencies were plotted on a logarithmic scale on the x-axis against the number of SAGE tag species in each class on the y-axis.

Around 87% (2,898) and 67% (2,223) of ZEBRAOV non-singleton tags were assigned using FISHTAG to at least one UniGene (Build#87) or TIGR (release 16.0) cluster, respectively. Fifty-eight transcripts, identified by their SAGE tags, were expressed at over 0.15%, i.e. the number of times a tag was counted in ZEBRAOV was at least 42, (Table 1), accounted for 17.34% of the mRNA population identified and represented forty-six of the most abundant classes (Figure 1). Among these SAGE tags, thirty-seven were assigned, using the FISHTAG software package with UniGene database Build#87 as a reference, to at least one UniGene cluster in a correct position of sense (R1) or antisense (R1cr) transcript sequences, which were annotated or not. Nineteen tags were multiple-matched, i.e. matching over one UniGene cluster. Two tags did not match any reference cDNA sequences in GenBank™/EBI Data Bank after extraction of their SAGE tags at the first three positions and could not, thus, be classified. Unmatched SAGE tags in the SAGE library could be due to the presence of genes in the zebrafish genome or spliced variant transcripts that had not previously been identified by EST data. Some of these unidentified transcripts were widely expressed in the zebrafish fully-grown follicle transcriptome (see Table 1).

The most abundant tag in ZEBRAOV was recovered 284 times, thus representing 1.033% of the mRNA population evaluated by the SAGE method (Table 1). This SAGE tag was identified four times on chromosome 22 genomic contig (GenBank (gb) accession number gb|NW_634208|) and in two deduced transcript variants, gb|XM_702755| and gb|XM_704598|, the latter being nearly identical to the consensus sequence of full-length ovary cDNA entries gb|BM141044| and gb|CO351300|. These transcripts are part of a large conserved protein family with at least thirteen transcript variants centred on locus LOC561392 of chromosome 22. Deduced protein sequence gb|BM141044| was 41.6% identical in 125 amino acid overlap with the N-terminal part of human latrophilin-2 precursor protein (UniProt (up) accession number up|O95490|). It contains the galactose/rhamnose-binding lectin domain found in numerous proteins with sugar binding properties (Pfam accession number PF02140) [26], including the two domains found in rhamnose-binding lectins in catfish (up|Q9PVW8|) and rainbow trout (up|Q9IB51|, up|Q9IB52|, up|Q9IB53|) eggs. It should be noted that UniGene (ug) cluster number ug|Dr.12439| enclosing SAGE tag N°1 was in fact a chimera cluster also containing EST sequences from heterogeneous nuclear ribonucleoprotein K (hnrpk) transcript gb|NM_212994| and, therefore, could not be used as a valid reference UniGene cluster. hnrpk is in fact located on chromosome 8 in the zebrafish genome (Ensembl Gene ID ENSDARG00000018914).

Components of the cytoskeleton, β-actin 2 (bactin2) (SAGE tag N°2), β-actin 1 (bactin1) (SAGE tag N°12), tubulin β-2 (tubb2) (SAGE tag N°43), and a transcript similar to thymosin beta 10 (SAGE tag N°14), as well as claudin d (cldnd) (SAGE tag N°7), a constituent of the tight junction complex, were among the most highly-expressed transcripts. A simultaneous high expression of different isoforms of several zona pellucida (ZP) glycoprotein transcripts was also observed with common (SAGE tag N°15, zp2.3 or zp2.4 variant proteins) or distinct (SAGE tag N°19, zp3b, and SAGE tag N°20, zp3) tags.

A transcribed locus (gb|XM_701504|) similar to the H2B (h2b) histone family and derived from an annotated genome sequence (gb|NW_649547|) contained the third most abundant annotated SAGE tag in the correct sense position. The corresponding UniGene cluster ug|Dr.46793| was a chimera cluster, while the correct EST cluster of this transcribed portion of the zebrafish genome was located in TIGR (TC291160). We also observed that a set of eight transcripts for genes associated with S-, L-, and P0-type ribosomal proteins, individually expressed at over 0.15%, represented a total of 1.63% of the total follicle transcripts evaluated by the SAGE method (Table 1).

SAGE tag N°5, with 142 tags sequenced, representing 0.517% of the mRNA population, was found in the correct sense position of the short (561 bp) transcript (gb|BC049475|) of metallothionein (mt2) on chromosome 18 (Ensembl Gene ID ENSDARG00000041553). A longer (1,739 bp) mt2 transcript (gb|NM_194273|) was recovered from the same UniGene cluster, ug|Dr.47289|. However, the corresponding SAGE tag (CATGAGTGTGAGAT) from this long transcript was different from that of the short (CATGTCCTTTGTCT) transcript and was not detected in ZEBRAOV. In addition to the mt2 short transcript, another abundant transcript related to metal binding, ferritin heavy polypeptide 1 (fth1) (SAGE tag N°46, gb|BC045278|), was also detected with a SAGE tag occurrence of 51. Analysis of ZEBRAOV revealed the presence of an additional highly-expressed tag with an occurrence of 23, linked to a transcript similar to the ferritin heavy subunit found in zebrafish embryos (gb|CB360372|, gb|AI883498|) and testes (gb|BI672352|).

SAGE tag N°8 was part of an abundant transcript (gb|NM_199781|) encoding LOC327299, a hypothetical protein on zebrafish chromosome 3 (Dr.47296, zgc:66160) with similarities to another zebrafish transcript (gb|XP_691610|), itself similar to the Xenopus protein MGC68553 (gb|AAH60006|). The deduced proteins have high sequence similarities with a mammalian deduced protein of unknown function (e.g. human hypothetical protein LOC29035, gb|NP_054836|, and bovine CG4768-PA isoforms, gb|XP_611066|). Another abundant tag (SAGE tag N°24) was assigned to a transcribed locus, while no significant sequence similarity was detected in any annotated sequence in GenBank™/EBI Data Bank. However, significant similarity was detected with other expressed transcripts from teleost fish species Pimephales promelas (gb|DT169547|), Oncorhynchus mykiss (gb|CX039674|), and Salmo salar (gb|CA037218|).

SAGE tag N°9 was included in cDNA EST clones (e.g. gb|BM861564|), which contains repetitive element MSR1 in addition to a transcript similar to ZP1-related protein (gb|XM_686880|). This tag was recovered at least three times in a genome sequence of linkage group 11 (gb|BX548064|).

The heat shock protein 90-beta (hsp90b) (SAGE tag N°10) transcript was also remarkably expressed, together with a locus similar to stress-associated endoplasmic reticulum protein 1 (SAGE tag N°16), a cold inducible RNA binding protein (cirbp) (SAGE tag N°52), and 40 S ribosomal protein S27a, similar to ubiquitin (SAGE tag N°40).

The gene products for the following enzymes: lactate dehydrogenase B4 (ldhb) (SAGE tag N°11), subunit 9 of ATP synthase of mitochondrial F0 complex (atp5g) (SAGE tag N°13), retinol dehydrogenase 10 (rdh10) (SAGE tag N°28), a protein similar to cytochrome oxidase III (SAGE tag N°32), glutathione S-transferase pi (gstp1) (SAGE tag N°35), and a proteolytic enzyme similar to cathepsin S (SAGE tag N°41) were also recovered.

The UniGene clusters identified in ZEBRAOV using tags at R1 or R1cr positions and expressed in over 0.05% of the total transcript population of fully-grown follicles were classified according to the Gene Ontology (GO) [27] system, with help of updated information from the zebrafish information network (ZFIN) database [28]. The distribution by molecular function GO terms was: 32.6% binding properties, including 22.2% nucleic acid binding; 11.1% structural molecule activity; 10.4% catalytic activity; 3.5% transporter activity; 2.1% signal transducer activity; 1.4% translation regulator activity; 0.7% translation initiation factor activity; and 0.7% enzyme inhibitor activity, while the remaining 37.5% have an unknown postulated molecular functions. In addition to molecular function categories, ZEBRAOV was used to identify transcript members of specific biological processes or metabolic pathways. For example, the following transcripts were identified in ZEBRAOV by their tags in R1 or R1cr position and related to the cell cycle: cyclin A1 (ccna1) (SAGE tag N°38, Table 1), a transcribed locus moderately similar to zygote arrest 1 (SAGE tag N°21, Table 1), cyclin B1 (ccnb1, tag occurrence 25, gb|NM_131513|), cyclin B2 (ccnb2, tag occurrence 13 for a long transcript, gb|BC045937| and tag occurrence 4 for a short transcript, gb|AF365872|), cyclin G1 (ccng1, tag occurrence 3, gb|BC052125|), cyclin-dependent kinase 9 (cdk9, occurrence 3, gb|NM_212591|), and cyclin L1 (ccnl1, tag occurrence 2, gb|NM_199740|). As a second example, some of the transcripts encoded proteins related to the lipoprotein or fatty acid metabolisms, such as low density lipoprotein receptor-related protein associated protein 1 (lrpap1, tag occurrence 4, gb|BC049517|), high density lipoprotein-binding protein (vigilin) (hdlbp, tag occurrence 4, gb|AI545520|), fatty acid binding protein 3 (fabp3, tag occurrence 4, gb|NM_152961|), and fatty acid binding protein 7b (fabp7b, tag occurrence 2, gb|AY380814|).

Comparison of ZEBRAOV with zebrafish ovary cDNA libraries

The cumulative percentages of SAGE tag species or EST clusters were plotted in order of abundance, according to the cumulative percentages of tag or EST counts, providing a comparative view of transcriptional activity (Figure 2). A similar proportion of transcripts was observed between ZEBRAOV and cDNA library ID.9767, while library ID.15519 contained a few clusters with an over-representation of their EST numbers. At 50% of the cumulative percentage of tags or ESTs, there were 9% ZEBRAOV SAGE tags, numbered from 1 to 1026, and 12.5% ID.9767 EST clusters, numbered from 1 to 348. In contrast, in library ID.15519, the majority of the ESTs sequenced originated from a small number of unique transcripts, i.e. 1% of the total clusters, numbered from 1 to 26, and represented 50% of the ESTs in the library. The differences observed between the proportions of transcripts in the two cDNA libraries were also illustrated by the difference in the number of ESTs per transcript abundance class. Transcript numbers in libraries ID.15519 and ID.9767 ranged from one copy/unique cluster in the least abundant class to 1,714 or 287 copies/unique cluster, in the most abundant class.

thumbnailFigure 2. Transcriptional activity of zebrafish fully-grown follicles and ovaries evaluated by the composition of the ZEBRAOV SAGE tag database and EST clusters in two selected cDNA libraries. The cumulative percentage of tag species in the SAGE tag library (solid line) or number of EST clusters in cDNA libraries ID.9767 (dotted line) and ID.15519 (dashed line) (representing the number of transcripts identified), were plotted in order of abundance on the x-axis against the cumulative percentage of the corresponding total tag or EST counts (representing the total amount of sampled transcriptome in SAGE or dbEST libraries) on the y-axis.

The occurrence of the most abundant annotated SAGE tag was compared with their corresponding UniGene cluster representation, evaluated by the number of ESTs, in the two selected zebrafish ovary cDNA libraries (Table 2). Eight clusters, including bactin2, bactin1, zp2.3, zp2.4, zp3b, zp3, and tubb2 were expressed over 0.15% in the three transcriptome profiles (Table 2A). UniGene cluster accession numbers Dr.30322 of zp3, Dr.5628, Dr.19916 of zp2.3, and Dr.23439 of zp2.4. were overrepresented in library ID.15519, accounting for over 11% of the transcripts identified in this cDNA library. Seven clusters higher than 0.15% were in both ZEBRAOV and ID.9767, e.g.: cldnd, transcripts similar to rhamnose-binding lectins, H2B histone family, and cathepsin S (Table 2B). ZEBRAOV and ID.15519 had three clusters in common, i.e. ribosomal protein L3 (rpl3), rdh10, and ccna1 (Table 2C). Twenty transcripts expressed at over 0.15% of the total mRNA population in ZEBRAOV were recovered below this limit in the ovary cDNA libraries, while some of them were not expressed at all in library ID.15519 (Table 2D). The largest discrepancies, evaluated by the difference between the mean number of EST values obtained with the cDNA libraries and the expression level indicated by SAGE tag frequency, were observed with mt2, hsp90b, and ldhb. The absence of expression in library ID.15519 of some UniGene clusters found in both library ID.9767 and ZEBRAOV was illustrated with SAGE tag N°21 that was part of a transcript (gb|BM533765/XM_682436/XM_703698|) moderately similar to zygote arrest 1, which contains sequences similar to the atypical PHD motif found in the zygote arrest 1 gene from vertebrate species including zebrafish zar1 (gb|BM533765|). The attached UniGene cluster (ug|Dr.13590|) was highly expressed in ZEBRAOV, only moderately in library ID.9767, and not in library ID.15519. It should be noted that the zebrafish zar1 transcript attached to UniGene cluster number Dr.12340 was found at high levels (0.370%) in library ID.9767 but not in ZEBRAOV or ID.15519.

Table 2. The most abundant annotated SAGE tags in zebrafish fully-grown follicles and their corresponding UniGene cluster occurrences in two selected zebrafish ovary cDNA libraries

EST data from the two selected zebrafish ovary cDNA libraries were also compared with ZEBRAOV to determine the sensitivity for detecting transcripts with a characterized maternal genetic contribution [29] (Table 3). Using the same maternal transcripts as the target sequences, the ZEBRAOV database was around 1.8 times more sensitive, for the detection of these transcripts, than the EST method previously used to describe the zebrafish ovary transcriptome. The number of selected transcripts with a maternal factor role detected by the SAGE method was 12 out of a total of 24, compared with 7 for libraries ID.9767 and ID.15519. Only two maternal transcripts, ccnb1 and POU domain class 5 trf 1 (pou5f1), were detected in ZEBRAOV and both libraries. Two transcripts, activin receptor IIb (acvr2b), and pre-B-cell leukemia trf 4 (pbx4) were found only in ZEBRAOV, while another two, cth1 (cth1) and activin receptor-like kinase 8 (alk8), were only retained in the cDNA libraries. It should be pointed out that the higher sensitivity observed with the SAGE method was obtained with around 21 times fewer sequenced cDNA clones, i.e. 576 to generate ZEBRAOV instead of 11,344 for library ID.9767 and 13,029 for library ID.15519. However, the low-abundant maternal-effect vasa homolog (vasa) transcript that was not detected in ZEBRAOV or in the ID.9767 and ID.15519 zebrafish dbEST libraries was identified at low levels in library ID.9874 (ug|Dr.559|, 0.056%), even if the 3,544 EST sequences in this library have only been classified in 1,475 UniGene entries.

Table 3. Recovery of selected genes with a characterized maternal genetic contribution in ZEBRAOV and zebrafish cDNA libraries ID.9767 and ID.15519*

Polarised distribution of metallothionein 2 transcripts and those similar to rhamnose-binding lectins in zebrafish oocyte

The polarization of oocytes along the animal-vegetative axis was visualized with ccnb1 mRNAs, identified at the animal pole, and Deleted AZoospermia-Like (dazl) located at the vegetative pole (Figure 3A). The ccnb1 transcript was SAGE tag N°106, with a tag occurrence of 25, detected in both ovary cDNA libraries (Table 3). The dazl transcript was SAGE tag N°3122, with a tag occurrence of 2, found only in library ID.15519 with two EST sequence entries. Whole-mount in situ hybridization using an RNA labelled probe that was potentially capable of hybridizing with all rhamnose-binding lectin transcripts variants (SAGE tag N°1, tag occurrence 284), due to their very high sequence conservation, revealed preferential polarization at the animal pole (Figure 3B). Whole-mount in situ hybridization using a specific mt2 (SAGE tag N°5, tag occurrence 142) riboprobe confirmed the presence of this mRNA in zebrafish ovarian follicles, although only four and six EST sequence entries were found in libraries ID.15519 and ID.9767, respectively. As with rhamnose-binding lectins, colocalization of the mt2 transcript with ccnb1 mRNA by two-colour whole-mount in situ hybridization demonstrated a signal restricted to the animal pole of the oocyte (data not shown). The distribution of this transcript was stage-dependent (Figure 3D–H). The hybridization signal was homogeneously distributed in stages I and II of oogenesis and restricted from early stage III to the animal pole of the oocyte.

thumbnailFigure 3. Localisation of selected maternal transcripts in zebrafish fully-grown follicles as revealed by whole-mount in situ hybridization. A, Polarization of the oocyte along the animal-vegetal axis was visualized using two colour whole-mount in situ hybridization. Cyclin B1 (ccnb1) mRNAs were identified at animal pole (arrow) after probe labelling with fluorescein-labelled antisense riboprobes and Deleted AZoospermia-Like (dazl) transcripts located at vegetal pole (arrowhead) after probe labelling with digoxigenin-labelled antisense riboprobes. The hybridization signal is coloured red with fluorescein and dark brown to blue with digoxigenin. B, The animal pole localisation of transcripts similar to rhamnose-binding lectin at the fully-grown follicle stage (stage IV) was detected with digoxigenin-labelled antisense riboprobes. C, No staining signal was observed using sense riboprobes of transcripts similar to rhamnose-binding lectin. D-H, Stage-specific polarised distribution of metallothionein 2 (mt2) short transcript isoform in stage IB (D, E), II (F), early stage III (G), and stage IV (H) follicles. The met2 hybridization signal detected at early stages was widely distributed in the ooplasma, whereas it concentrated at the animal pole from early stage III to the end of vitellogenesis. For stages III and IV, the animal pole, oriented toward top of page, is indicated by an arrow. Scale bar = 100 μm.

Comparison of ZEBRAOV with ovary/egg functional genomic data from other vertebrate and non-vertebrate species

The annotated transcripts expressed at over 0.15% in zebrafish fully-grown ovarian follicles (Table 1) that had corresponding UniGene clusters were used to search for homologous Unigene clusters in the ovary/unfertilized egg cDNA libraries currently available for seven vertebrate species (Table 4). The homologous vertebrate UniGene clusters were identified using UniGene homologous tool or found after BLAST [30] searches. Numerous genes expressed in zebrafish had homologous counterparts in the expression profile of human and Xenopus cDNA libraries and, to a lesser extent, in profiles available for other vertebrate species. Out of a total of thirty-five zebrafish genes, twenty-six homologous UniGene clusters were identified in humans, including seven at over 0.15% of the mRNA population. Twenty four homologous UniGene clusters were identified in Xenopus, including two at over 0.15% of the mRNA population. Due to the duplicated nature of the zebrafish genome, bactin2 and bactin1 were duplicated forms of the mammal bactin gene. These housekeeping genes, together with tubb2, were a common characteristic of ovarian vertebrate abundant cytoskeletal protein encoding clusters. Homologous flh1 transcript was remarkably expressed in all available vertebrate ovary/egg transcriptomes, with high levels in human, swine, and salmon cDNA libraries. This transcript was also recovered at high levels in the ID.16098 dog (Canis familiaris) ovary dbEST library (ug|Cfa.1238|, 0.264%). hsp90b, ldhb, atp5g, and 40S ribosomal protein S27a, were also some of the most expressed genes in the vertebrate ovaries. The other abundant ZEBRAOV transcripts recovered in at least one vertebrate species at a homologous cluster frequency >0.15% were zp3 or related gene zp3b, cldnd, rpl3, and ccna1. The cirbp transcript was also widely distributed, but in a lower relative proportion of mRNA.

Table 4. The most abundant annotated SAGE-tags of zebrafish fully-grown follicles and the presence of homologous UniGene clusters in vertebrate ovary/unfertilized egg cDNA libraries

The annotated transcripts of ZEBRAOV were also compared with published data obtained from human germinal vesicle (GV)-stage oocytes by PCR-SAGE [16]. This human SAGE tag library has not been deposited at the GEO database. The published short-list of human tags was checked against UniGene Build#187 using SAGEmap tools. Out of a total of 175 SAGE tags analysed, 81 were identified in R1 sense position. This updated list was compared with the homologous UniGene clusters expressed at over 0.15% in ZEBRAOV. Three homologous clusters were identified in the human oocyte catalogue, i.e. actin gamma 1 (ACTG1)/actin beta (ACTB) (ug|Hs.514581| and ug|Hs.520640|), ZP glycoprotein 3 (ZP3) (ug|Hs.488877|), and heat shock 90 kDa protein 1, beta (HSPCB) (ug|Hs.509736|). These clusters were also recovered at high levels in SAGE tag libraries deposited on SAGEmap for human ovarian cancer cell lines (e.g. GEO accession number GSM726). Comparison between the updated annotated list of human GV oocyte and ZEBRAOV clusters revealed that, in addition to ACTG1/ACTB, ZP3, and HSPCB, other homologous expressed clusters, identified by their SAGE tag at R1 sense position and expressed above 0.01% of the total expressed transcripts, had also been detected in ZEBRAOV: tubulin alpha 6 (TUBA6) and beta 4 (TUBB4), programmed cell death 5 (PDCD5), proliferating cell nuclear antigen (PCNA), barrier to autointegration factor 1 (BANF1), guanine nucleotide binding protein, beta polypeptide 2-like 1 (GNB2L1), CD9 antigen (CD9), and glyceraldehyde-3-phosphate dehydrogenase (GAPD) were found.

The most expressed transcripts in ZEBRAOV (Table 1), including the conserved expressed transcripts of vertebrate ovaries/unfertilized eggs (Table 4), were used to screen ovary/egg dbEST or SAGE tag libraries from non-vertebrate species. As expected, some homologous housekeeping genes, which encode ribosomal proteins or proteins responsible for cell structure, were among the most highly-expressed genes in these libraries. For example, homologous transcript of 40 S ribosomal protein S27a was retrieved from the silkworm (Bombyx mori) egg SAGE tag library at 0.366% of the total mRNA population, together with transcripts of 60 S ribosomal protein L3 (0.4%), and 60 S ribosomal large P0 (0.254%). In addition, transcripts for beta-tubulin were retrieved from silkworm (0.266%), nematode (Caenorhabditis elegans) (ug|Cel.10737|, 0.116%) and amphioxus (Branchiostoma floridae) (ug|Bfl.1179|, 0.051%) egg cDNA libraries. Other conserved homologous transcripts identified were related to the cell cycle, with cyclin A type in sea urchin (Strongylocentrotus purpuratus) (ug|Spu.227|, 0,499%), and amphioxus (ug|Bfl.5026|, 0,511%) eggs, or metal binding, with ferritin protein genes in silkworm (0.319%), and amphioxus (ug|Bfl.851|, 0.106%) eggs, or metallothionein in sea urchin (ug|Spu.96|, 0.066%) eggs. Catalytic activity transcripts for cytochrome c oxidase III in silkworm (0.228%), and lactate dehydrogenase in nematode (ug|Cel.22829|, 0.022%) eggs, homologous with transcripts expressed at over 0.15% in ZEBRAOV, were expressed in ovaries/eggs of non-vertebrate species.

Comparison of zebrafish follicle protein repertoire deduced from SAGE with the protein repertoire isolated after proteomic analysis

The proteins extracted from fully-grown follicles were resolved by 1D-SDS-PAGE or 2D-PAGE, subjected to in-gel tryptic digestion, and analysed by MS/MS. The protein repertoire determined was then compared with the repertoire deduced from ZEBRAOV (Table 5). Forty-three out of a total of sixty proteins identified by proteomic analysis were initially retrieved using 1D-SDS-PAGE fractionation, forty-one by 2D-PAGE fractionation, and twenty-four were common to both. Potential molecular functions of the proteins identified using proteomic analysis according to GO terms were: 26% structural molecule activity, 25% binding properties, including 3% nucleic acid binding, 22% catalytic activity, 3% each for transporter, translation-regulator, and enzyme-regulator activity, 2% each for signal transducer, antioxidant, and electron transporter activity, while the remaining 12% had no postulated molecular function. The three most abundant categories were: (i) structural molecules, represented by beta-actin, tubulin, and ZP variant isoforms, as well as ribosomal proteins; (ii) binding proteins, mostly chaperonins and heat shock proteins; and (iii) proteins with a catalytic activity, mostly oxidoreductases, like acyl-Coenzyme A dehydrogenase or enolases, and transferases, like creatine kinase and pyruvate kinase. Comparison of transcriptome and proteome data indicated that forty-three proteins were recovered with a corresponding transcript identified by an experimental SAGE tag at a correct, R1 or R1cr, position. Seven proteins were also found with a corresponding tag in R2/R3 or Rn1/Rn2 position, and eight with corresponding multiple-matched R1 or R1cr tags. Comparing transcriptome and proteome also revealed a weak predictive value between mRNA and protein abundance. The MS-based protein identification approach recovered around 23% of the proteins, including bactins, zp2.3, zp2.4, zp3, zp3b, tubb2, ldhb, and ribosomal protein large, P0 (rplp0), deduced from transcripts expressed at over 0.15% and identified by an experimental SAGE tag in a correct, R1 or R1cr, position (Table 1). All the proteins identified by proteomic analysis had at least one transcript counterpart in ZEBRAOV, with two exceptions, eosinophil chemotactic cytokine (chia) and nothepsin (nots). UniGene cluster ug|Dr.831| of the chia transcript was detected three and five times in ovary cDNA banks ID.15519 and ID.9767, respectively. UniGene cluster ug|Dr.10788| of nots transcript was not detected either zebrafish cDNA library used. Zebrafish chia encoded a protein highly similar to zebrafish protein isoforms similar to chitinase (gb|XP_708403.1|, gb|XP_686386|) or proteins encoding by multiple chitinase genes in rainbow trout (gb|CAD59687|) and Japanese flounder (gb|BAD15061|) and, to a lesser extent, acidic mammalian chitinase precursor, e.g. up|Q9BZP6| in humans. Zebrafish nots encoded a protein similar to vertebrate aspartic-type endopeptidases, such as zebrafish cathepsin D (up|Q8JH28|) and human cathepsin E (up|P14091|).

Table 5. Comparison of zebrafish follicle protein repertoire deduced from SAGE with the protein repertoire isolated by proteomic analysis

Proteins synthesized by bactin1 and bactin2 were not resolved by the proteomic analysis, due to the amino acid sequence identity of these isoforms. However, corresponding differentially expressed transcripts were discriminated by a specific SAGE tag, due to divergent 3'-untranslated part sequences. On the contrary, a well conserved divergent 3'-untranslated part sequence led to a common SAGE tag identified in zp2.3 and zp2.4 transcripts, while a distinct SAGE tag was recovered with zp2.2 (Tables 1 and 5). The high sequence similarities of these three protein isoforms led to an unsolved protein identification on the gel map produced by proteomic analysis. Identical peptide sequences were also identified with tubulin alpha isoforms and recovered in different areas after 2D-PAGE fractionation. Sequence differences or additional identified peptides made it possible to discriminate between tubulin alpha 1, alpha 8 like 4, alpha 2, and alpha 3. In all cases, specific SAGE tags were identified for each tubulin transcript isoform, even if isoform alpha 8 like 4 was identified using a multiple-matched tag.

Furthermore, comparison of transcriptome and proteome data also revealed that two different SAGE tags, with an occurrence of 3, were identified for the unannotated deduced protein zgc:103482 (up|Q5XJA5|), due to the presence of a 3'-untranslated region that could be extended by 127 bp, as revealed by the nucleotide sequence of dbEST clone gb|BM101604|. The unique common translated region of both transcripts encoded a protein that was part of the described proteomic profile.

Vitellogenin (VTG) derivatives were identified in most of the gel pieces excised from the 1D- or 2D-PAGE. It should be noted that VTG 1 (vg1) SAGE tag (occurrence 4) and VTG 3 (vg3) multiple-matched SAGE tag (occurrence 3) were extracted from ZEBRAOV. Other annotated cleaved proteins revealed by the identification of specific peptide sequences with different mass values for the protein of interest were ZP glycoprotein forms, alpha 1 and alpha 8 like 4 tubulins, enolase 3, elongation factor 1-gamma, and nothepsin. Annotated proteins with non-cleavage posttranslational modifications, predicted by variation of the isoelectric point of the protein of interest, were: VTG derivatives, ZP glycoproteins, alpha 1 and alpha 8 like 4 tubulins, enolase 3, elongation factor 1-gamma, mitochondrial aldehyde dehydrogenase 2, chaperonin containing TCP1 subunit 6A, serpin a1, creatine kinase, and pyruvate kinase.

The zebrafish follicle protein repertoire determined by proteomic analysis (Table 5) and the corresponding transcript levels inferred from ZEBRAOV or EST count from ovary libraries ID.9767 and ID.15519 was compared with the protein repertoire deduced from transcripts expressed at over 0.15% in human ovary cDNA libraries ID.4908, ID.5611, and ID.10552 (Table 6). Some of the proteins identified in zebrafish fully-grown follicles have a high, i.e. bactins, tubb2, ldhb, and rplp0, or moderate, i.e. glyceraldehyde-3-phosphate dehydrogenase (gapd), ribosomal proteins S3 (rps3), elongation factor 1-gamma (eef1g), transcript count of homologous UniGene clusters in human ovary cDNA libraries. However, human clusters homologous to ribosomal proteins L7a (rpl7a) and SA (rpsa), pyruvate kinase (pkm2), and enolase 1 alpha (eno1) were highly expressed in human cDNA libraries, while the homologous transcripts were counted at very low levels in the zebrafish transcriptome, even if these proteins had been identified by proteomic analysis. It should be noted that ZEBRAOV contained an additional enolase family member homologous to enolase 3 beta (eno3), with a moderate expression level (ug|Dr.25678|, 0.109%), while its human annotated counterpart (ug|Hs.224171| was expressed at very low levels or not in human cDNA libraries used for analyses. Enolase transcript (ug|Dm.18435|) was detected in Drosophila ovary dbEST libraries ID.1058 (0.052%) and ID.1059 (0.102%).

Table 6. Comparison of zebrafish follicle transcript occurrence of proteins identified by proteomic analysis, with the corresponding protein repertoire deduced from transcripts expressed at over 0.15% of the mRNA population in human ovary cDNA libraries

Discussion

As in other vertebrates [1], somatic gonadal cells in zebrafish surround a single oocyte to establish a follicle [31]. The entire folliculogenesis process, from primary growth to post-vitellogenic stage takes about ten days in zebrafish [32]. Since large numbers of follicles at different developmental stages are easily obtained year round in this species, zebrafish offer an excellent alternative model for analysing some fundamental aspects of ovarian development and regulation [33], as well as identifying conserved maternal factors [29], which are important in early stages of embryo development. This study analysed the transcriptome and proteome of zebrafish fully-grown ovarian follicles and compared these data with other animal ovary/follicle/egg molecular phenotypes published or available in public sequence databases.

The delineation of the transcriptome of teleost fish ovaries has already been evaluated using large-scale EST sequencing of cDNA libraries [7-9], subtractive hybridisation [11], and microarray-based analyses [12]. These large-scale strategies were used, together with digital differential display analysis, to identify expressed genes specific to ovaries/follicles/oocytes and early embryos in mice [34-39], bovines [40-42], rats [43,44], and humans [45]. While these methods give an idea of transcript abundance or enrichment in a specific tissue, it has been demonstrated that the SAGE method is reproducible [46], provides an unbiased, quantitative report of gene expression, that may be correlated with microarray data [47,48], and seems more efficient than EST-based methods for discovering novel genes and spliced variant transcripts [13]. However, one limitation of the SAGE method is the presence of transcripts that produce multiple matched tags [[49-51], this study]. SAGE has been applied to human oocytes [16,17], and silkworm eggs [52], and successfully identified differentially expressed genes in human ovarian carcinomas and normal ovarian surface epithelium [53]. Large-scale analyses of proteomes from mouse oolemmal proteins [54], matured pig oocyte proteins [55], microtubule-associated proteins from Xenopus egg extracts [56], and proteins extracted from Drosophila oocytes [57] have also been carried out. To our knowledge, no previous study had analysed the transcriptome and proteome profiles of samples of ovarian origin at the same biological stage on a large-scale.

The transcript repertoire obtained using the SAGE method is an accurate picture of gene expression on both qualitative and quantitative levels and gives a global expression profile of transcripts present in zebrafish fully-grown ovarian follicles. Sequencing of 27,486 SAGE tags identified 11,399 different tag species, classified into 3,437 UniGene clusters with tags in position R1 or R1cr, including 3,329 tag species with an occurrence greater than one. Comparative analysis of transcriptional activity, using the ZEBRAOV SAGE tag database and dbEST libraries currently available for zebrafish ovaries, revealed a globally similar pattern between ZEBRAOV and the ID.9767 library (Figure 2). However, a clearly different quantitative pattern was obtained with library ID.15519, due to an over-representation of the number of EST sequences attached to a small number of unique transcripts. This bias is commonly observed with the EST sequencing method [13]. Consequently, some of the abundant transcripts found by the SAGE method were not detected in library ID.15519. For example, a transcript moderately similar to zygote arrest 1 (ZAR1), with a domain similar to the atypical homeodomain (PHD) finger motif found in ZAR1 in vertebrate species, including zebrafish [58], is highly expressed in ZEBRAOV, moderately in library ID.9767, and not in library ID.15519. In a second example, the transcript of signal sequence receptor beta (ssr2), also called translocon-associated protein beta, was detected at high levels with SAGE, and very low levels with dbEST ovary library sequencing (Table 2). This protein is part of the translocon-associated protein (TRAP) complex required for the translocation of nascent polypeptides into the lumen of the endoplasmic reticulum, and the corresponding zebrafish ssr2 mRNA is maternally supplied to the egg [59]. We also found the ZEBRAOV database around 1.8 times more sensitive than EST sequencing in detecting transcripts with a characterized maternal genetic contribution (Table 3), even if the number of cDNA clones sequenced to generate the ZEBRAOV SAGE tags database was around 21 times lower. However, this number is not sufficient to identify some of these transcripts, as demonstrated with the maternal-effect vasa transcript that was not detected in ZEBRAOV. The vasa-like genes are expressed in the germ cells of many animal species [60], including zebrafish oocytes and early-stage embryos [61,62]. Furthermore, the presence of unmatched tags in the SAGE library generated from ovarian follicles indicates the presence of genes in the zebrafish genome or spliced variant transcripts that had not previously been identified by EST data. A broader snapshot of gene expression was therefore obtained by SAGE, as previously reported [13,46]. It should be pointed out that some of these unidentified transcripts are largely expressed in the zebrafish fully-grown follicle transcriptome.

Comparison of the transcriptome of zebrafish fully-grown follicles as evaluated by the SAGE method with ovary/egg transcriptomes available for other animal species revealed both similarities and differences. SAGE revealed the presence of several tags corresponding to novel transcripts, some highly expressed in the zebrafish fully-grown follicle transcriptome and well-conserved in vertebrates. As expected, some of the most abundant transcripts identified in zebrafish, corresponding to some ribosomal proteins or translated to housekeeping genes, including beta-actins, and tubulins, or well known ovary-enriched proteins, like ZP protein isoforms or cyclins [7,63], are well-conserved in the ovarian transcriptomes of other fish species. Homologous highly-expressed transcripts were also recovered in mammals and Xenopus transcriptomes and, to a lesser extent, in silkworm, nematode, sea urchin, and amphioxus egg profiles [34,37] (Table 4, and Results section). Some of these transcripts are members of multigene families that may be widely expressed in the zebrafish fully-grown follicle transcriptome, e.g., ZP protein isoform transcripts. This high transcript level may be restricted to a few members of other gene families, as illustrated with claudin genes. Claudins, the major tight junction transmembrane proteins, are members of the tetraspanin protein superfamily that mediate cellular adhesion and migration [64]. Numerous claudin genes have been identified in zebrafish [65] but only the cldnb transcript was recovered at very high levels in ZEBRAOV and library ID.9767, and cldng in library ID.9767. Some of the claudin isoform transcripts of maternal origin are then downregulated in the early stages of zebrafish embryogenesis [66].

The most abundant transcript in zebrafish fully-grown follicles belongs to a large conserved protein family containing one domain with sequence similarities to the galactose/rhamnose-binding lectin domain found in numerous proteins with sugar binding properties. This domain was initially characterized in sea urchin (Anthocidaris crassispina) egg lectin (SUEL) [67]. It was then characterized in rhamnose-binding lectins from of rainbow trout eggs (Oncorhynchus mykiss), which consist of two homologous SUEL domains repeated in tandem [68]. It has been suggested that this domain plays a role from egg maturation to fertilization [69]. Rhamnose-binding lectin in catfish (Parasilurus asotus) is composed of three tandem-repeat domains homologous to the SUEL lectin domain [70]. A cysteine-rich domain homologous to the SUEL protein has been also identified in the N-terminal part of mammalian latrophilin-2 precursor protein [71].

The SAGE approach also revealed numerous transcripts highly expressed in zebrafish that were not previously known to be significantly expressed by zebrafish ovaries, including mt2, hsp90b, ldhb, atp5g, fth1, cirbp, rplp0, and 40S ribosomal protein S27a. The relative abundance of molecules stored in oocytes may differ between species but some of the abundant transcripts found in zebrafish follicles are common highly-expressed transcripts in vertebrate ovaries/unfertilized eggs (Table 4). It is noteworthy that almost all ribosomal protein transcripts identified from the SAGE tags, expressed at over 0.15%, were recovered below this limit from the two selected zebrafish ovary cDNA libraries. In some cases, these differences may be related to the loss of these small size transcripts after size selection of cDNAs during construction of the libraries, a process that did not occur using the SAGE method.

Short mt2 transcript is a very good example of the quantitative as well as qualitative original data obtained after SAGE analysis. We found that mt2 was very abundantly expressed in zebrafish oocytes, at a level ten times higher than that previously inferred from analysis of zebrafish ovary dbEST libraries (Table 2). This difference in mt2 transcript levels may be due to the loss of this small size transcript during cDNA library construction. An enrichment of this transcript in fully-grown oocytes versus ovaries is less plausible due to the asynchronous development of zebrafish ovaries, containing oocytes at different stages in development [31]. In addition, whole-mount in situ hybridization demonstrated a strong stage-dependent mt2 polarized hybridization signal in the cytoplasm of zebrafish oocytes (Figure 3). These data are consistent with the metallothionein activity content of zebrafish oocytes [72] and the presence of this transcript before the mid-blastula transition of the embryo [73]. Metallothionein transcripts were also recovered from sea urchin egg and salmon ovary dbEST libraries, as well as lizard ovarian follicles (Podarcis sicula), with the highest level in ovulated eggs [74]. Expression of the rat Mt2 gene is also strongly regulated during primordial follicle assembly and development in rat ovaries [44]. SAGE may also help to distinguish between the expressions of several isoforms at the 3'-end of a transcript. In the same UniGene mt2 cluster a second mt2 transcript, identified with its in silico SAGE tag, contained an identical sequence in the coding region but a long untranslated 3'-part. This long transcript was not expressed in zebrafish fully-grown follicles. It should be noted that differential expression of 3'-end transcript isoforms was easily identified using the SAGE method, as also demonstrated with the ccnb2 transcript.

In addition to the mt2 short transcript, abundant transcripts of heavy chain ferritins, including fth1, related to metal binding, were also detected in ZEBRAOV. This is in accordance with a disproportionately high number of salmon ovary assembled ESTs seen in GO categories related to heavy metal (copper, iron, and zinc) [9] and the presence of ferritin H mRNA in rainbow trout (Oncorhynchus mykiss) eggs [75]. Homologous genes to zebrafish fth1 are expressed in all vertebrate ovary dbEST libraries available at UniGene, with very high relative levels in salmon, swine, dog, and human libraries. Ferritin-containing inclusions were demonstrated in yolk platelets of schistosome (Schistosoma mansoni) [76], a species in which a female-specific yolk ferritin transcript is expressed at high levels in the vitellarium [77]. Ferritin also occurs in amphibian [78,79] and snail [80] eggs. It should be noted that high-level expression of ferritin H-chain mRNA is observed in metastatic human ovarian tumours [81].

The second significant difference in transcript abundance between zebrafish fully-grown follicle transcriptomes as evaluated by SAGE and the profile defined in ovary cDNA libraries concerned the hsp90β transcript (Table 2). Extensive molecular characterization, including zebrafish transcripts, and biochemical studies have revealed that vertebrate members of the heat shock protein 90 (HSP90) family play a post-translational regulatory role within the cell by interacting with several important cellular signalling molecules and transcription factors, such as steroid receptors, and modulating their activity [82]. Homologous transcripts are highly expressed in mouse and human ovaries (Table 4) and a strong HSP90 immunoreactivity was demonstrated in rat primordial germ cells [83]. This signal was also detected in both male and female pre-meiotic germ cells. HSP90 was also identified as one of the highly abundant proteins in mature mouse eggs and is strongly associated with the plasma membrane [54]. In addition, hsp83 transcript, the Drosophila homologue of the mammalian Hsp90 family of regulatory molecular chaperones, is present at high levels through the end of oogenesis and both maternal and zygotic transcripts are spatially restricted during early embryo development [84]. All these data are consistent with the high transcript level of hsp90β in zebrafish ovaries, whereas a high number of hsp90β cDNA clones was observed in the library generated from testes but not ovaries [7]. The large discrepancy in the relative level of hsp90β transcripts observed between the SAGE and cDNA approaches may be related to an enrichment of this transcript in the terminal stages of folliculogenesis.

Other transcripts highly expressed in zebrafish follicles and consistently represented in vertebrate ovarian transcriptomes are transcripts of ATP synthase, H+ transporting, mitochondrial F0 complex, subunit c (ATP5G), cold-inducible RNA-binding protein (CIRBP), and lactate dehydrogenase B4. atp5g is highly expressed in fish ovaries and the encoded protein is one of the chains of the nonenzymatic membrane component (F0) of mitochondrial ATPase in mitochondrial membrane. CIRBP apparently plays an essential role in cold-induced suppression of cell proliferation [85]. One of the Xenopus CIRBP homologues is a major RNA-binding protein in fully-grown oocytes and may be involved in translational regulation via modulation of oocyte ribosomal function [86]. Lactate dehydrogenase B transcripts are widely distributed in animal ovarian transcriptomes, with high levels found in mice and humans. It has been previously demonstrated that lactate dehydrogenase B mRNA is one of the most abundant transcripts in fully-grown mouse oocytes [87]. Lactate dehydrogenase mRNA appears to be translated efficiently during oocyte growth and then downregulated during maturation and after fertilization [88].

The egg is a transcriptionally inactive cell and, as such, is a storehouse of maternal mRNA and proteins required for fertilization and initiation of zygotic development. However, many of the proteins comprising the animal egg proteome have yet to be identified, as very few large-scale proteome analyses have been performed. As expected, the zebrafish follicle protein repertoire, determined by proteome analysis, identified ribosomal proteins, ZP family protein members, components of the cytoskeleton, chaperonins, heat shock proteins, and VTG derivatives, but also some proteins not previously reported in ovary protein repertoires, e.g. a Sjogren syndrome antigen B homologous protein (Table 5). This RNA-binding protein binds to several small cytoplasmic RNA molecules, known as Y RNAs, and may stabilize these RNAs, preventing degradation [89]. At least eight proteins, out of a total of thirty-eight deduced using the SAGE assigned transcript method and expressed at over 0.15%, were identified by proteome analysis. The identification of abundant mRNAs without the corresponding translated proteins may be due to insufficient proteome delineation and/or the presence of oocyte stage-specific maternal transcripts, stored inside the oocyte cytoplasm and translated during early embryo development. There were several proteins distributed in over one spot position after 1D-, 2D-PAGE separation and MS/MS (Table 5). While some of them, e.g. creatine kinase (CK), were present in closely isoelectric focusing located spots, suggesting the presence of isoforms or posttranslational modifications, the distribution of other spots, e.g. VTG derivatives, indicates a cleavage of precursor proteins with the presence of lower-molecular-weight derivative fragments. CKs play crucial roles in intracellular energy transfer and expression of a CK brain-type isoenzyme during oogenesis has been demonstrated in rodents [90,91]. A homologous transcript was also identified at high levels in amphioxus eggs (ug|Bfl.4313|, 0,119%). ckb mRNA is shown to be maternally supplied in zebrafish embryos [92].

Comparison of the zebrafish follicle protein repertoire deduced from SAGE with the protein repertoire isolated after proteomic analysis revealed that some abundant transcripts identified by their SAGE tags, but not previously reported to be present in abundance in fish ovaries, had corresponding proteins. This was the case of lactate dehydrogenase B4 and, to a lesser extent, ribosomal protein large P0 (Tables 2 and 5). Comparison also revealed that bactin1 and bactin2 transcripts were differentially expressed in zebrafish ovarian follicles, but their protein sequences were not resolved due to the very high sequence conservation of these duplicated gene copies. On the other hand, some ZP family protein members could be discriminated on the protein level, while the same SAGE tags were generated with zp2.3 and zp2.4 or zp3a and zp3al transcripts, due to the high sequence similarities of the 3'-end untranslated part of these transcripts.

Oocyte growth, particularly in oviparous species, is characterized by intense deposition of RNAs and proteins, not necessary of the same nature and origin. These maternal factors can be stored for very long periods of time until their use during embryonic development. Comparison of transcriptome and proteome data revealed that transcript levels provide little predictive value with respect to the extend of protein abundance, taking into account the fact that the protein identification approach used detects relatively abundant proteins from the biological extract, while the mRNA abundance evaluated by SAGE tag frequency varied by over two orders of magnitude (Table 5). Transcript profiling provides a measure of RNA abundance, which may be affected not only by transcription levels but also by RNA processing and degradation. Moreover, not all transcripts are translated and RNA abundance may not correspond to protein levels. High transcription and translation rates during folliculogenesis and oocyte growth are followed by differential translational silencing and degradation of many mRNA species, especially at the end of the oocyte growth phase [2,93]. The identification of zebrafish follicle proteins, e.g. pyruvate kinase and enolase I, by proteome analysis, with very low corresponding transcript levels but very high homologous transcript counts in human ovary transcriptomes used as an external reference, suggests a downregulation of the quantity of these transcripts and storage of the proteins at the end of zebrafish folliculogenesis.

A comparison of transcriptome and proteome data revealed two proteins encoded by chia and nots without corresponding transcripts in ZEBRAOV. chia is related to the multiple chitinases genes identified in rainbow trout and Japanese flounder [94], as well as, to a lesser extent, the acidic mammalian chitinase precursor in humans [95]. While the molecular functions of these proteins are related to chitin binding and chitinase activity, the functionality and origin of the protein identified in zebrafish fully-grown follicles remains to be determined. However, the presence of a small amount of chia transcript in multiple follicular stage zebrafish cDNA libraries ID.9767, ID.15519 supports a stage-specific transcription of this gene during zebrafish folliculogenesis as previously demonstrated by the downregulation of the transcription of some fish maternal genes, e.g. VTG/very-low density lipoprotein receptor [96] at the end of oogenesis. A high rate of protein deposition has also been observed during oocyte growth in oviparous species via a receptor-mediated endocytosis of exogenous precursors. The presence of an abundant protein in the repertoire without a corresponding transcript in ZEBRAOV may be due to endocytosis of the protein from the plasma to the oocyte. Zebrafish vg1 and vg3 are mainly expressed in the liver and, to a lesser extent, in several non-liver tissues, including the adipocytes associated with several organs, such as ovaries [97]. This may explain the presence of a limited amount of vg1 and vg3 transcripts in ZEBRAOV (Table 5). These precursor proteins are synthesized outside oocytes during vitellogenesis, specifically incorporated in the oocyte by receptor-mediated endocytosis and cleaved into yolk proteins. The identification of nothepsin in zebrafish fully-grown follicles by proteome analysis although no transcript was detected in the ovary by Northern blot [98], EST sequencing of ovary cDNA libraries, or SAGE (this study), strongly suggests an extraovarian origin for this enzyme that may be present in the plasma of females undergoing vitellogenesis. Zebrafish nots encodes a paralogous aspartic proteinase related to endoproteolytic proteinases, such as cathepsin D, cathepsin E, and pepsin. This gene is specifically expressed in the liver under estrogenic control [99]. The sexual dimorphic expression of nots may be related to the reproductive process, like VTG precursor processing, or other sex-specific proteins inside the oocyte cytoplasm.

Conclusion

This study provides a complete sequence data set of maternal mRNA stored in zebrafish germ cells at the end of oogenesis. This catalogue contains highly-expressed transcripts that were not previously known to be significantly expressed in the fish ovaries, including some that are part of a vertebrate ovarian expressed gene signature. Comparison of transcriptome and proteome data identified downregulated transcripts or proteins potentially incorporated in the oocyte by endocytosis. The molecular phenotype described provides groundwork for future experimental approaches aimed at identifying functionally important maternal transcripts and proteins involved in oogenesis and early stages of embryo development.

Methods

Isolation of fully-grown ovarian follicles

Zebrafish, Danio rerio, were obtained from our facilities and maintained at 28.5°C on a 12L:12D photoperiod. Salts (0.23 g/l Instant Ocean, Aquarium System, Inc, Mentor, USA and 0.1 g/l CaSO4, 2H2O) were added to reverse osmosis (Optima 60, Veolia Water STI, Blagnac, France) purified water in order to ensure an optimal water quality. The zebrafish ovaries undergo asynchronous development and oocyte development is divided into five stages: I (primary growth), II (cortical alveolus or pre-vitellogenic), III (vitellogenic), IV (maturation), and V (mature egg) [31]. Sexually mature females were anaesthetized by immersion in 2-phenoxyethanol (1/2000, v/v) and fully-grown follicles (diameter > 0.69 mm) [31] were obtained by gently squeezing the abdomen. Histological analysis demonstrated that, in some areas, the stripped oocytes were covered with a single layer of granulosa cells, attached to the zona radiata (data not shown).

SAGE library construction

Total RNAs were isolated from about 250 fully-grown follicles, isolated from five none in-bred mature females, using the NucleoSpin RNAII kit (Macherey-Nagel, Duren, Germany). Fifty micrograms of total RNAs were used to generate the SAGE library using the I-SAGE kit (Invitrogen, Cergy Pontoise, France). The SAGE library was constructed according to the manufacturer's instructions, with minor modifications. Briefly, total RNAs were bound to magnetic Dynal oligo(dT) beads and cDNAs were synthesized directly on oligo(dT) beads. cDNAs were digested with NlaIII at 37°C for 1 h and divided into two equal parts, pools A and B. These pools were ligated at 16°C for 2 h to specific adapters, adapX (5'-TTTGGATTTGCTGGTGCAGTACAACTAGGCTTAATAGGGACATG-3') and adapY (5'-TTTCTGCTCGAATTCAAGCTTCTAACGATGTACGGGGACATG-3'), containing the priming sites for PCR amplification at the 5'-end and the type IIS restriction endonuclease BsmFI site at the 3'-end. The 3'-ends of the adapters were modified with an amino group to prevent self-ligation. The two ligation products were then cleaved with the tagging enzyme BsmFI at 65°C for 1 h. The resulting tags from pools A and B were ligated at 16°C overnight in a 3 μl mixture to form ditag cassettes. The ligated ditag mixture was diluted 1:110 (v/v), and 1 μl was used in a 50 μl PCR mixture. A total of 300 ditag PCR amplifications were performed for 33 cycles using the following primers derived from adapX (5'GGATTTGCTGGTGCAGTACA-3') and adapY (5'-CTGCTCGAATTCAAGCTTCT-3'), respectively. Individual ditag PCR products (100 bp) were purified on 12% (w/v) polyacrylamide gel. Adapters (40 bp) were removed from ditags by NlaIII digestion at 37°C for 2 h 30 min and ditags without adapters (26 bp) were purified on 12% (w/v) polyacrylamide gel. Purified ditags (26 bp) were ligated together at 16°C overnight and resolved in an 8% (w/v) polyacrylamide gel. Concatemer fractions ranging from 0.3 to 0.6 kb, 0.6 to 1.5 kb, and over 1.5 kb, were purified separately. The purified concatemers were cloned into the SphI site of the pZErO-1 plasmid (Invitrogen, Cergy Pontoise, France). The ligated mixture was transformed into One Shot TOP10 electrocompetent cells (Invitrogen, Cergy Pontoise, France). Positive transformants were selected by plating on low-salt Luria-Bertani plates containing 50 μg/ml Zeocin and incubating at 37°C for 24 h. The concatemer sizes were screened for 10% of total clones by colony PCR using Sp6 forward and T7 reverse primers.

SAGE library sequencing

High throughput sequencing reactions were carried out by Genome Express (Meylan, France). Automatic tag detection, extraction, counting and quality control were undertaken by Skuld-Tech (Montpellier, France). Ditags longer than 50 bp (2.97%), fewer than 24 bp (0.4%), or repeated ditags (2.69%) were discarded and not taken into account for tag number calculation. Contamination rates with linker and ribosomal 18 S and 28 S RNA sequences were 0.2% and 0.22%, respectively. The ZEBRAOV was generated from 576 sequenced clones containing inserts originating from the 0.6 to 1.5 kb concatemer fraction. Consequently, 96% of the sequenced clones have concatemers with over 500 bp, resulting in an average SAGE tag number of 47 per concatemer.

Data analysis and tag-to-gene mapping

To our knowledge, we were the first to carry out SAGE analysis on a fish species. Consequently, linking an experimental SAGE tag to an annotated transcript required the development of a species-specific SAGE tag database from the tags extracted from ESTs or transcripts available for a particular fish species. FISHTAG, a generic computer package written in PERL and implemented on a UNIX workstation, was designed for automatic extraction and annotation of SAGE tags from the sequences deposited in UniGene and TIGR public sequence databases (Rousselot et al., in preparation). Briefly, three 14-long nucleotide in silico tags, identified with the 5'-CATG ending sequence, were extracted from each reference transcript sequence at the first three sense positions, starting from the 3'-end of the transcript, and named R1, R2, or R3 in the presence of a polyadenylation signal and poly(A) tail. The tags were named Rn1, Rn2, Rn3 for EST sequences without a polyadenylation signal, a poly(A) tail, or both. Furthermore, the corresponding in silico tags of complementary reversed antisense sequences of deposited ESTs called "3'-reads" were also extracted and named R1cr, R2cr, or R3cr in the presence of a polyadenylation signal and poly(A) tail. The tags were named Rn1cr, Rn2cr, Rn3cr for EST sequences without a polyadenylation signal, a poly(A) tail or both. A table was constructed and additional data, like EST cluster descriptions, GenBank™ annotations, and URL links to the UniGene or TIGR sites were attached to each extracted in silico tag. This table was then used as a reference for tag-to-gene mapping by comparison between the experimental SAGE tags and the EST-derived in silico extracted SAGE tags.

The zebrafish sequence data were downloaded from UniGene and TIGR ftp sites [100,101]. There were 673,076 public UniGene sequence entries (Build#87), including 99,968 3'-read entries, in 31,681 UniGene clusters. Data retrieved from TIGR contained 33,752 unique TC leader sequences (release 16.0). The EST sequences used and included in UniGene were from more than two-hundred dbEST libraries originating from at least twenty different zebrafish tissues or developmental stages [102]. The in silico zebrafish SAGE-tag database, ZEBRATAG, generated using FISHTAG, was used to combine the copy number of each experimental SAGE tag from the ZEBRAOV library with its annotation.

Ovary/egg cDNA library sequence data used

The teleost fish ovary dbEST cDNA libraries currently available at the GenBank™ database and used to analyse their EST sequences were: ID.15519 (NIH_ZGC_5) with 13,029 EST sequences classified into 2,610 clusters and ID.9767 (Gong zebrafish ovary), with 11,344 EST sequences classified into 2,794 clusters, for zebrafish (Danio rerio) (UniGene Build#87), ID.15587 (AGENAE rainbow trout normalized ovarian library) with 4,936 EST sequences classified into 274 clusters for rainbow trout (Oncorhynchus mykiss) (UniGene Build#16), ID.11967 (Fugu UT13 adult ovary) with 2,545 EST sequences classified into 705 clusters for Fugu (Takifugu rubripes) (UniGene Build#13), and ID.15459 (Atlantic salmon ovary cDNA library) with 2,269 EST sequences classified into 849 clusters for salmon (Salmo salar) (UniGene Build#8).

The other vertebrate dbEST cDNA library accession numbers used for comparison were ID.10552 (NIH_MGC_109), with 10,652 sequences classified into 2,973 UniGene entries, ID.4908 (NIH_MGC_9), with 12,849 sequences classified into 3,289 UniGene entries, and ID.5611 (NIH_MGC_66) with 8,540 sequences classified into 3,060 UniGene entries for human (Homo sapiens) ovaries (UniGene Build#187), ID.15096 (full-length enriched swine cDNA library, adult ovary) with 26,127 sequences classified into 4,770 UniGene entries for swine (Sus scrofa) (UniGene Build#34), ID.10029 (NIA mouse unfertilized egg cDNA library, long) with 13,201 sequences classified into 1,939 UniGene entries, ID.1389 (mouse unfertilized egg cDNA library) with 3,098 sequences classified into 1,228 UniGene entries, and ID.14142 (NIA mouse unfertilized egg cDNA library, long 1) with 6,443 sequences classified into 1,821 UniGene entries for mouse (Mus musculus) oocytes (UniGene Build#148), and ID.9909 (XGC-egg) with 65,236 sequences classified into 7,968 UniGene entries for Xenopus tropicalis (UniGene Build#26).

The other non-vertebrate dbEST cDNA library accession numbers used for comparison were ID.13749, with 6,003 EST sequences classified into 1,775 clusters for unfertilised sea urchin (Strongylocentrotus purpuratus) eggs (UniGene Build#9), ID.17404, with 38,522 EST sequences classified into 3,720 clusters for amphioxus (Branchiostoma floridae) eggs (UniGene Build#1), and ID.1977, with 53,273 EST sequences classified into 5,777 clusters for fertilized nematode (Caenorhabditis elegans) eggs (UniGene Build#25). In addition, a silkworm (Bombyx mori) egg SAGE tag library [52] was also used.

Whole-mount in situ hybridization

Follicles were fixed in 4% paraformaldehyde overnight at 4°C, rinsed three times in phosphate buffered saline (PBS) buffer, twice in methanol, and stored at -20°C in methanol until used. A first primer pair (sense oligonucleotide 5'-CAGCAGAATCATGCGCTC-3' and antisense oligonucleotide 5'-CAACATATGGACGACAGG-3') was used to amplify a 611 bp of a cDNA fragment from nucleotides -10 to +601 (numbered from the translation initiator codon) of a transcript (GenBank™/EBI (gb) Data Bank accession number gb|BM141044|) with similarities to human latrophilin-2, identified as a rhamnose-binding lectin. A second primer pair (sense oligonucleotide 5'-GACTGGAACTTGCAACTG-3' and antisense oligonucleotide 5'-GACGGTACAGGAAACAGAT-3') was used to amplify a 445 bp cDNA fragment from nucleotides +24 to +468 of mt2 short transcript (gb|BC049475|). A third primer pair (sense oligonucleotide 5'-TATCCAGAAGCATCGTCAGG-3' and antisense oligonucleotide 5'-CCTTCACATCACACTCATGC-3') was used to amplify a 764 bp cDNA fragment from nucleotides +57 to +820 of dazl transcript (gb|NM_131524|). A fourth primer pair (sense oligonucleotide 5'-AGGCTGCTTCAGGAGACC-3' and antisense oligonucleotide 5'-CCTAAAGAAGTGACGGTACC-3') was used to amplify a 769 bp cDNA fragment from nucleotides +550 to +1318 of ccnb1 transcript (gb|AB040435|). These amplified cDNA fragments were used as templates to generate the corresponding RNA probes. Both antisense- and sense-digoxigenin- and fluorescein-labelled RNA probes were obtained using T7 or SP6 RNA polymerase (Promega, France) and the digoxigenin/fluoresceine RNA labelling mix (Roche, Germany), following the manufacturer's instructions. RNA probes were purified using the ProbeQuant G-50 micro columns (Amersham Biosciences, England) and checked for purity by denaturing agarose gel electrophoresis. Whole-mount in situ hybridization was carried out as previously described http://zfin.org/zf_info/zfbook/chapt9/9.82.html webcite, with minor modifications. The PBS buffer used contained 0.04% (w/v) KCl. Samples were treated with 20 μg/ml proteinase K for 20 min and hybridized at 58°C with 50% formamide. Two-colour whole-mount in situ hybridization was carried out with a fluorescein-labelled RNA probe to detect the most-strongly expressed gene, then with the digoxigenin-labelled RNA probe. Samples were mounted in 100% glycerol and observed under an Eclipse E1000 Nikon microscope. Histology was performed according to the procedure previously described [103].

Protein extraction

Proteins were extracted from zebrafish fully-grown follicles using TRI Reagent™ (Sigma-Aldrich, U.S.A.) [104]. A 100 μl aliquot of frozen follicles in L-15 was mixed with 1 ml of cold TRI Reagent and incubated at room temperature for 10 min. 200 μl chloroform were added and mixed, incubated at room temperature for 10 min and centrifuged at 10,000 g at 4°C for 10 min. The protein phase was separated from the DNA and RNA and the proteins precipitated with 300 μl 100% ethanol at room temperature for 10 min. After centrifugation at 2,000 g at 4°C for 10 min, the supernatant containing the proteins was precipitated with isopropanol at room temperature for 10 minutes, and then centrifuged at 10,000 g at 4°C for 10 min. The protein pellet was washed twice with 2 ml 0.3 M guanidine hydrochloride in 95% ethanol and incubated for 20 min at room temperature, then centrifuged at 6,500 g, at 4°C for 10 min. The pellet was further washed three times with 10 ml 100% ethanol for 20 min at room temperature and centrifuged at 6,500 g, in 4°C for 10 min. The remaining salts were removed by adding 1.5 ml 80% cold acetone (-20°C) and centrifuging at 6,000 g at 4°C for 10 min three times. The air-dried pellet was used for 1D- and 2D-PAGE.

1D-, 2D-PAGE and tandem mass spectrometry

Protein pellets were dissolved in 2D-PAGE sample buffer containing 7 M urea, 2 M thiourea, 2% CHAPS, 65 mM DTT, 1.25% ampholytes (pH 3–10, BioRad) with a trace of bromophenol blue. The protein amounts were assayed with the Bradford reagent (BioRad, Hercules, U.S.A.). For isoelectric focusing, 600 μg of each protein sample were applied to 11 cm IPG Strips (pH 3–10 NL, BioRad). Isoelectric focusing was at 70,000 Volt/hr with an IPG-Phor System (Amersham Biosciences), followed by second-dimension electrophoresis, using pre-cast Criterion Tris-HCl gels (4–20% Linear Gradient, BioRad). 1D SDS-PAGE (133 × 87 × 1 mm) was performed on a home-made polyacrylamide gradient gel 8–16%. The gels were stained with See-Band Forte (GeBA). Images were taken with a FlourS imager (BioRad) and the images were analysed using PDQuest software (BioRad). Spots were excised, in-gel digested with trypsin, and identified either by peptide mass fingerprinting and CID using a 4700 MALDI-TOF-TOF mass spectrometer (Applied Biosystems) or a nano-capillary RP-HPLC and ESI-QIT mass spectrometer (LCQ-Deca, ThermoFinnigan). The MS data was analysed using Sequest [105], Pep-Miner [106] and Mascot [107] software tools and searching the NCBInr or ZFIN Zebrafish databases. Each peptide identified was then manually checked against the corresponding Swiss-Prot/TrEMBL/PIR UniProt Data Bank entry at the UniProt web site [108]. The presence of a protein in zebrafish fully-grown follicle protein extract was confirmed when at least one peptide sequence perfectly matching the target UniProt protein entry appeared in the proteome database at least twice.

Authors' contributions

A.K-G., carried out the genomics and bioinformatics studies, A.M. participated in the genomics as well as the molecular biology experiments, T.G. carried out the proteomics studies, J.F. performed the in situ hybridization experiments, A.A. participated in the proteomic analysis, and P.J.B. carried out the computational analyses, coordinated the work, and drafted the manuscript. All authors read and approved the final manuscript.

thumbnailFigure 4. Electrophoretic pattern of zebrafish fully-grown follicle proteins. A, SDS-polyacrylamide gradient 8–16% slab gel of total yolk proteins with increasing amounts of proteins deposited per lane. Eleven gel slices, numbered I to XI, were cut after staining the gel with See-Band Forte (GeBA). B, Two-dimensional polyacrylamide gel electrophoresis of total yolk proteins. Twenty-four spot areas, numbered 1 to 24, were excised after staining the gel with GeBA. In both procedures, gel pieces were in-gel digested with trypsin and the resulting peptides identified by mass spectrometry (see Table 5). The rectangles from which VTG derivatives were isolated are identified with a solid lined line while the rectangles with no derivatives (numbers 8, 9, and 20) are labelled with a broken line. M, relative molecular weights of the standards × 10-3.

Acknowledgements

We wish thank Celine Rousselot for her help in software tools development. We wish also to acknowledge David Piquemal for advice regarding SAGE data analyses. This work was supported by the Commission of the European Communities, grant Q5S-2002-00784 "CRYOCYTE" program "Quality of Life and Management of Living Resources".

References

  1. Matova N, Cooley L: Comparative aspects of animal oogenesis.

    Dev Biol 2001, 231:291-320. PubMed Abstract | Publisher Full Text OpenURL

  2. Eichenlaub-Ritter U, Peschke M: Expression in in-vivo and in-vitro growing and maturing oocytes: focus on regulation of expression at the translational level.

    Hum Reprod Update 2002, 8:21-41. PubMed Abstract | Publisher Full Text OpenURL

  3. Duranthon V, Renard J-P: Storage and functional recovery of molecules in oocytes. In Biology and Pathology of the Oocyte: its role in Fertility and Reproduction Medicine. Edited by Trounson A, Gosden R. Cambridge University Press; 2003:81-112. OpenURL

  4. The Danio rerio Sequencing Project [http://www.sanger.ac.uk/Projects/D_rerio/] webcite

    2006.

  5. Expressed Sequence Tags database [http://www.ncbi.nlm.nih.gov/dbEST/index.html] webcite

    2006.

  6. Boguski MS, Lowe TM, Tolstoshev CM: dbEST – database for "expressed sequence tags".

    Nat Genet 1993, 4:332-333. PubMed Abstract | Publisher Full Text OpenURL

  7. Zeng S, Gong Z: Expressed sequence tag analysis of expressed profiles of zebrafish testis and ovary.

    Gene 2002, 294:45-53. PubMed Abstract | Publisher Full Text OpenURL

  8. Davey GC, Caplice NC, Martin SA, Powell R: A survey of genes in the Atlantic salmon (Salmo salar) as identified by expressed sequence tags.

    Gene 2001, 263:121-130.

    269:229

    PubMed Abstract | Publisher Full Text OpenURL

  9. Rise ML, von Schalburg KR, Brown GD, Mawer MA, Devlin RH, Kuipers N, Busby M, Beetz-Sargent M, Alberto R, Gibbs AR, Hunt P, Shukin R, Zeznik JA, Nelson C, Jones SR, Smailus DE, Jones SJ, Schein JE, Marra MA, Butterfield YS, Stott JM, Ng SH, Davidson WS, Koop BF: Development and application of a salmonid EST database and cDNA microarray: data mining and interspecific hybridization characteristics.

    Genome Res 2004, 14:478-490. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  10. Wang Z, Brown DD: A gene expression screen.

    Proc Natl Acad Sci USA 1991, 88:11505-11509. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  11. Kanamori A: Systematic identification of genes expressed during early oogenesis in medaka.

    Mol Reprod Dev 2000, 55:31-36. PubMed Abstract | Publisher Full Text OpenURL

  12. von Schalburg KR, Rise ML, Brown GD, Davidson WS, Koop BF: A comprehensive survey of the genes involved in maturation and development of the rainbow trout ovary.

    Biol Reprod 2005, 72:687-699. PubMed Abstract | Publisher Full Text OpenURL

  13. Chen J, Sun M, Lee S, Zhou G, Rowley JD, Wang SM: Identifying novel transcripts and novel genes in the human genome by using novel SAGE tags.

    Proc Natl Acad Sci USA 2002, 99:12257-12262. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  14. Velculescu VE, Zhang L, Vogelstein B, Kinzler KW: Serial analysis of gene expression.

    Science 1995, 270:368-369. PubMed Abstract OpenURL

  15. Gowda M, Jantasuriyarat C, Dean RA, Wang G: Robust-LongSAGE (RL-SAGE): a substantially improved LongSAGE method for gene discovery and transcriptome analysis.

    Plant Physiol 2004, 134:890-897. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  16. Neilson L, Andalibi A, Kang D, Coutifaris C, Strauss JF 3rd, Stanton JA, Green DP: Molecular phenotype of the human oocyte by PCR-SAGE.

    Genomics 2000, 63:13-24. PubMed Abstract | Publisher Full Text OpenURL

  17. Stanton JL, Bascand M, Fisher L, Quinn M, Macgregor A, Green DP: Gene expression profiling of human GV oocytes: an analysis of a profile obtained by Serial Analysis of Gene Expression (SAGE).

    J Reprod Immunol 2002, 53:193-201. PubMed Abstract | Publisher Full Text OpenURL

  18. Tuteja R, Tuteja N: Serial analysis of gene expression: Applications in human studies.

    J Biomed Biotechnol 2004, 2004:113-120. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  19. Aebersold R, Mann M: Mass spectrometry-based proteomics.

    Nature 2003, 422:198-207. PubMed Abstract | Publisher Full Text OpenURL

  20. Serial Analysis of gene Expression Tag to Gene Mapping, SAGEmap [http://www.ncbi.nlm.nih.gov/SAGE/] webcite

    2006.

  21. Mouse SAGE Site [http://mouse.biomed.cas.cz/sage/] webcite

    2006.

  22. The Cancer Genome Anatomy Project. SAGE Genie [http://cgap.nci.nih.gov/SAGE] webcite

    2006.

  23. Melbourne Brain Genome Project [http://www.mbgproject.org/] webcite

    2006.

  24. Lash AE, Tolstoshev CM, Wagner L, Schuler GD, Strausberg RL, Riggins GJ, Altschul SF: SAGEmap: a public gene expression resource.

    Genome Res 2000, 10:1051-1060. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  25. Gene Expression Omnibus [http://www.ncbi.nlm.nih.gov/geo/] webcite

    2006.

  26. Pfam [http://www.sanger.ac.uk/Software/Pfam/] webcite

    2006.

  27. The Gene Ontology [http://www.geneontology.org/] webcite

    2006.

  28. ZFIN. The Zebrafish Information Network [http://zfin.org/cgi-bin/webdriver?MIval=aa-ZDB_home.apg] webcite

    2006.

  29. Pelegri F: Maternal factors in zebrafish development.

    Dev Dyn 2003, 228:535-554. PubMed Abstract | Publisher Full Text OpenURL

  30. McGinnis S, Madden TL: BLAST: at the core of a powerful and diverse set of sequence analysis tools.

    Nucleic Acids Res 2004, (32 Web Server):W20-W25. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  31. Selman K, Wallace RA, Sarka A, Qi X: Stages of oocyte development in the zebrafish Brachydanio rerio.

    J Morphol 1993, 218:203-224. Publisher Full Text OpenURL

  32. Wang Y, Ge W: Developmental profiles of activin βA, βB, and follistatin expression in the zebrafish ovary: evidence for their differential roles during sexual maturation and ovulatory cycle.

    Biol Reprod 2004, 71:2056-2064. PubMed Abstract | Publisher Full Text OpenURL

  33. Ge W: Intrafollicular paracrine communication in the zebrafish ovary: The state of the art of an emerging model for the study of vertebrate folliculogenesis.

    Mol Cell Endocrinol 2005, 237:1-10. PubMed Abstract | Publisher Full Text OpenURL

  34. Stanton JL, Green DPL: A set of 840 mouse oocyte genes with well-matched human homologues.

    Mol Hum Reprod 2001, 7:521-543. PubMed Abstract | Publisher Full Text OpenURL

  35. Zeng F, Schultz RM: Gene expression in mouse oocytes and preimplantation embryos: use of suppression subtractive hybridization to identify oocyte- and embryo-specific genes.

    Biol Reprod 2003, 68:31-39. PubMed Abstract | Publisher Full Text OpenURL

  36. Sharov AA, Piao Y, Matoba R, Dudekula DB, Qian Y, et al.: Transcriptome analysis of mouse stem cells and early embryos.

    PLoS Biol 2003, 1:e74. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  37. Tanaka M, Hennebold JD, Miyakoshi K, Teranishi T, Ueno K, Adashi EY: The generation and characterization of an ovary-selective cDNA library.

    Mol Cell Endocrinol 2003, 202:67-69. PubMed Abstract | Publisher Full Text OpenURL

  38. Paillisson A, Dadé S, Callebaut I, Bontoux M, Dalbiès-Tran R, Vaiman D, Monget P: Identification, characterization and metagenome analysis of oocyte-specific genes organized in clusters in the mouse genome.

    BMC Genomics 2005, 6:76. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  39. Small CL, Shima JE, Uzumcu M, Skinner M., Griswold MD: Profiling gene expression during the differentiation and development of the murine embryonic gonad.

    Biol Reprod 2005, 72:492-501. PubMed Abstract | Publisher Full Text OpenURL

  40. Dalbiès-Tran R, Mermillod P: Use of heterologous complementary DNA array screening to analyse bovine oocyte transcriptome and its evolution during in vitro maturation.

    Biol Reprod 2003, 68:252-261. PubMed Abstract | Publisher Full Text OpenURL

  41. Yao J, Ren X, Ireland JJ, Coussens PM, Smith TPL, Smith GW: Generation of a bovine oocyte cDNA library and microarray: resources for identification of genes important for follicular development and early embryogenesis.

    Physiol Genomics 2004, 19:84-92. PubMed Abstract | Publisher Full Text OpenURL

  42. Pennetier S, Uzbekova S, Guyader-Joly C, Humblot P, Mermillot P, Dalbiès-Tran R: Genes preferentially expressed in bovine oocytes revealed by subtractive and suppressive hybridization.

    Biol Reprod 2005, 73:713-720. PubMed Abstract | Publisher Full Text OpenURL

  43. Leo CP, Pisarska MD, Hsueh AJ: DNA array analysis of changes in preovulatory gene expression in the rat ovary.

    Biol Reprod 2001, 65:269-276. PubMed Abstract | Publisher Full Text OpenURL

  44. Kezele PR, Ague JM, Nilsson E, Skinner MK: Alterations in the ovarian transcriptome during primordial follicle assembly and development.

    Biol Reprod 2005, 72:241-255. PubMed Abstract | Publisher Full Text OpenURL

  45. Stanton JL, Macgregor AB, Grenn DPL: Using expressed sequence tag databases to identify ovarian genes of interest.

    Mol Cell Endocrinol 2002, 191:11-14. PubMed Abstract | Publisher Full Text OpenURL

  46. Dinel S, Bolduc C, Belleau P, Boivin A, Yoshioka M, Calvo E, Piedboeuf B, Snyder EE, Labrie F, St-Amand J: Reproducibility, bioinformatic analysis and power of the SAGE method to evaluate changes in transcriptome.

    Nucleic Acids Res 2005, 33:e26. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  47. Ibrahim AFM, Hedley PE, Cardle L, Kruger W, Marshall DF, Muehlbauer GJ, Waugh R: A comparative analysis of transcript abundance using SAGE and Affymetrix arrays.

    Funct Integr Genomics 2005, 5:163-174. PubMed Abstract | Publisher Full Text OpenURL

  48. van Ruissen F, Ruijter JM, Schaaf GJ, Asgharnegad L, Zwijnenburg DA, Kool M, Bass F: Evaluation of the similarity of gene expression data estimated with SAGE and Affymetrix GeneChips.

    BMC Genomics 2005, 6:91. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  49. Welle S, Bhatt K, Thornton CA: Inventory of high-abundance mRNAs in skeletal muscle of normal men.

    Genome Res 1999, 9:506-513. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  50. Lorenz WW, Dean JFD: SAGE profiling and demonstration of differential gene expression along the axial developmental gradient of lignifying xylem in loblolly pine (Pinus taeda).

    Tree Physiol 2002, 22:301-310. PubMed Abstract | Publisher Full Text OpenURL

  51. Fizames C, Munos S, Cazettes C, Nacry P, Boucherez J, Gaymard F, Piquemal D, Delorme V, Commes TS, Doumas P, et al.: The Arabidopsis root transcriptome by serial analysis of gene expression. Gene identification using the genome sequence.

    Plant Physiol 2004, 134:67-80. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  52. Huang J, Miao X, Jin W, Couble P, Mita K, Zhang Y, Liu W, Zhuang L, Shen Y, Keime C, Gandrillon O, Brouilly P, Briolay J, Zhao G, Huang Y: Serial analysis of gene expression in the silkworm, Bombyx mori.

    Genomics 2005, 86:223-241. OpenURL

  53. Peters DG, Kudla DM, Deloia JA, Chu TJ, Fairfull L, Edwards RP, Ferrel RE: Comparative gene expression analysis of ovarian carcinoma and normal ovarian epithelium by serial analysis of gene expression.

    Cancer Epidemiol Biomarkers Prev 2005, 14:1717-1723. PubMed Abstract | Publisher Full Text OpenURL

  54. Calvert ME, Digilio LC, Herr JC, Coonrod SA: Oolemmal proteomics – identification of highly abundant heat shock proteins and molecular chaperones in the mature mouse egg and their localization on the plasma membrane.

    Reprod Biol Endocrinol 2003, 1:27. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  55. Ellederova Z, Halada P, Man P, Kubelka M, Motlik J, Kovarova H: Protein patterns of pig oocytes during in vitro maturation.

    Biol Reprod 2004, 71:1533-1539. PubMed Abstract | Publisher Full Text OpenURL

  56. Liska AJ, Popov AV, Sunyaev S, Coughlin P, Habermann B, Shevchenko A, Bork P, Karsenti E, Shevchenko A: Homology-based functional proteomics by mass spectrometry: Application to the Xenopus microtubule-associated proteome.

    Proteomics 2004, 4:2707-2721. PubMed Abstract | Publisher Full Text OpenURL

  57. Nakahara K, Kim K, Sciulli C, Dowd SR, Minden JS, Carthew RW: Targets of microRNA regulation in the Drosophila oocyte proteome.

    Proc Natl Acad Sci USA 2005, 102:12023-12028. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  58. Wu X, Wang P, Brown CA, Zilinski CA, Matzuk MM: Zygote arrest 1 (Zar1) is an evolutionarily conserved gene expressed in vertebrate ovaries.

    Biol Reprod 2003, 69:861-867. PubMed Abstract | Publisher Full Text OpenURL

  59. Mangos S, Krawetz R, Kelly GM: The Translocon-Associated Protein beta (TRAPbeta) in zebrafish embryogenesis. I. Enhanced expression of transcripts in notochord and hatching gland precursors.

    Mol Cell Biochem 2000, 215:93-101. PubMed Abstract | Publisher Full Text OpenURL

  60. Raz E: The function and regulation of vasa-like genes in germ-cell development.

    Genome Biol 2000, 1:reviews1017.1-1017.6. BioMed Central Full Text OpenURL

  61. Bratt AK, Zandbergen T, Van de Water S, Goos HJTH, Zivkovic D: Characterization of zebrafish primordial germ cells: Morphology and early distribution of vasa RNA.

    Dev Dyn 1999, 216:153-167. PubMed Abstract | Publisher Full Text OpenURL

  62. Krovel AV, Olsen LC: Sexual dimorphic expression pattern of a splice variant of zebrafish vasa during gonadal development.

    Dev Biol 2004, 271:190-197. PubMed Abstract | Publisher Full Text OpenURL

  63. Wen C, Zhang Z, Ma W, Xu M, Wen Z, Peng J: Genome-wide identification of female-enriched genes in zebrafish.

    Dev Dyn 2005, 232:171-179. PubMed Abstract | Publisher Full Text OpenURL

  64. Tsukita S, Furuse M: Claudin-based barrier in simple and stratified cellular sheets.

    Curr Opin Cell Biol 2002, 14:531-536. PubMed Abstract | Publisher Full Text OpenURL

  65. Kollmar R, Nakamura SK, Kappler JA, Hudspeth AJ: Expression and phylogeny of claudins in vertebrate primordia.

    Proc Natl Acad Sci USA 2001, 98:10196-10201. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  66. Lo J, Lee S, Xu M, Liu F, Ruan H, Eun A, He Y, Ma W, Wang W, Wen Z, Peng J: 15,000 unique zebrafish EST clusters and their future use in microarray for profiling gene expression patterns during embryogenesis.

    Genome Res 2003, 13:455-466. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  67. Ozeki Y, Matsui T, Suzuki M, Titani K: Amino acid sequence and molecular characterization of a D-galactoside-specific lectin purified from sea urchin (Anthocidaris crassispina) eggs.

    Biochemistry 1991, 30:2391-2394. PubMed Abstract | Publisher Full Text OpenURL

  68. Tateno H, Saneyoshi A, Ogawa T, Muramoto K, Kamiya H, Saneyoshi M: Isolation and characterization of rhamnose-binding lectins from eggs of steelhead trout (Oncorhynchus mykiss) homologous to low density lipoprotein receptor superfamily.

    J Biol Chem 1998, 273:19190-19197. PubMed Abstract | Publisher Full Text OpenURL

  69. Tateno H, Ogawa T, Muramoto K, Kamiya H, Hirai T, Saneyoshi M: A novel rhamnose-binding lectin family from eggs of steelhead trout (Oncorhynchus mykiss) with different structures and tissue distribution.

    Biosci Biotechnol Biochem 2001, 65:1328-1338. PubMed Abstract | Publisher Full Text OpenURL

  70. Hosono M, Ishikawa K, Mineki K, Murayama K, Numata C, Ogawa Y, Takayanagi Y, Nitta K: Tandem repeat structure of rhamnose-binding lectin from catfish (Silurus asotus) eggs.

    Biochim Biophys Acta 1999, 1472:668-675. PubMed Abstract | Publisher Full Text OpenURL

  71. Lelianova VG, Davletov BA, Sterling A, Rahman MA, Grishin EV, Totty NF, Ushkaryov YA: Alpha-latrotoxin receptor, latrophilin, is a novel member of the secretin family of G protein-coupled receptors.

    J Biol Chem 1997, 272:21504-21508. PubMed Abstract | Publisher Full Text OpenURL

  72. Riggio M, Filosa S, Parisi E, Scudiero R: Changes in zinc, copper and metallothionein contents during oocyte growth and early development of the teleost Danio rerio (zebrafish).

    Comp Biochem Physiol C Toxicol Pharmacol 2003, 135:191-196. PubMed Abstract | Publisher Full Text OpenURL

  73. Chen WY, John JA, Lin CH, Lin HF, Wu SC, Lin CH, Chang CY: Expression of metallothionein gene during embryonic and early larval development in zebrafish.

    Aquat Toxicol 2004, 69:215-227. PubMed Abstract | Publisher Full Text OpenURL

  74. Riggio M, Trinchella F, Filosa S, Parisi E, Scudeiro R: Accumulation of zinc, copper, and metallothionein mRNA in lizard ovary proceeds without a concomitant increase in metallothionein content.

    Mol Reprod Dev 2003, 66:374-382. PubMed Abstract | Publisher Full Text OpenURL

  75. Aegerter S, Jalabert B, Bobe J: Large scale real-time PCR analysis of mRNA abundance in rainbow trout eggs in relationship with egg quality and post-ovulatory ageing.

    Biol Reprod 2005, 72:377-385. OpenURL

  76. Schussler P, Potters E, Winnen R, Bottke W, Kunz W: An isoform of ferritin as a component of protein yolk platelets in Schistosoma mansoni.

    Mol Reprod Dev 1995, 41:325-330. PubMed Abstract | Publisher Full Text OpenURL

  77. Schussler P, Potters E, Winnen R, Michel A, Bottke W, Kunz W: Ferritin mRNAs in Schistosoma mansoni do not have iron-responsive elements for post-transcriptional regulation.

    Eur J Biochem 1996, 241:64-69. PubMed Abstract | Publisher Full Text OpenURL

  78. Brown DD, Caston JD: Biochemistry of amphibian development. III. Identification of ferritin in the egg and early embryos of Rana pipiens.

    Dev Biol 1962, 5:445-451. PubMed Abstract | Publisher Full Text OpenURL

  79. Kandror KV, Tsuprun VL, Stepanov AS: The main adenosine triphosphate-binding component of amphibian oocytes is ferritin.

    Mol Reprod Dev 1992, 31:48-54. PubMed Abstract | Publisher Full Text OpenURL

  80. von Darl M, Harrisson PM, Bottke W: cDNA cloning and deduced amino acid sequence of two ferritins: soma ferritin and yolk ferritin, from the snail Lymnaea stagnalis L.

    Eur J Biochem 1994, 222:353-366. PubMed Abstract | Publisher Full Text OpenURL

  81. Tripathi PK, Chatterjee SK: Elevated expression of ferritin H-chain mRNA in metastatic ovarian tumor.

    Cancer Invest 1996, 14:518-526. PubMed Abstract OpenURL

  82. Krone PH, Sass JB, Lele Z: Heat shock protein gene expression during embryonic development of the zebrafish.

    Cell Mol Life Sci 1997, 53:122-129. PubMed Abstract | Publisher Full Text OpenURL

  83. Ohsako S, Bunick D, Hayashi Y: Immunocytochemical observation of the 90 KD heat shock protein (HSP90): high expression in primordial and pre-meiotic germ cells of male and female rat gonads.

    J Histochem Cytochem 1995, 43:67-76. PubMed Abstract OpenURL

  84. Ding D, Parkhurst SM, Halsell SR, Lipshitz HD: Dynamic Hsp83 RNA localization during Drosophila oogenesis and embryogenesis.

    Mol Cell Biol 1993, 13:3773-3781. PubMed Abstract | PubMed Central Full Text OpenURL

  85. Fujita J: Cold shock response in mammalian cells.

    J Mol Microbiol Biotechnol 1999, 1:243-255. PubMed Abstract OpenURL

  86. Matsumoto K, Aoki K, Dohmae N, Takio K, Tsujimoto M: CIRP2, a major cytoplasmic RNA-binding protein in Xenopus oocytes.

    Nucleic Acids Res 2000, 28:4689-4697. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  87. Roller RJ, Kinloch RA, Hiraoka BY, et al.: Gene expression during mammalian oogenesis and early embryogenesis: quantification of three messenger RNAs abundant in fully grown mouse oocytes.

    Development 1989, 106:251-262. PubMed Abstract OpenURL

  88. Cascio SM, Wasserman PM: Program of early development in the mammals: post-translational control of a class of proteins synthesized by mouse oocytes and early embryos.

    Dev Biol 1982, 89:397-408. PubMed Abstract | Publisher Full Text OpenURL

  89. Deutscher SL, Harley JB, Keene JD: Molecular analysis of the 60-kDa human Ro ribonucleoprotein.

    Proc Natl Acad Sci USA 1988, 85:9479-9483. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  90. Iyengar MR, Iyengar CW, Chen HY, Brinster RL, Bornslaeger E, Schultz RM: Expression of creatine kinase isoenzyme during oogenesis and embryogenesis in the mouse.

    Dev Biol 1983, 96:263-268. PubMed Abstract | Publisher Full Text OpenURL

  91. Naumoff PA, Stevenson PM: Creatine kinase, steroidogenesis and the developing ovarian follicle.

    Int J Biochem 1985, 17:1363-1367. PubMed Abstract | Publisher Full Text OpenURL

  92. Dickmeis T, Rastegar S, Aanstad P, Clark M, Fischer N, Plessy C, Rosa F, Korzh V, Strähle U: Expression of brain subtype creatine kinase in the zebrafish embryo.

    Mech Dev 2001, 109:409-412. PubMed Abstract | Publisher Full Text OpenURL

  93. Schultz RM: The molecular foundations of the maternal to zygotic transition in the preimplantation embryo.

    Hum Reprod Updat 2002, 8:323-331. Publisher Full Text OpenURL

  94. Kurokawa T, Uji S, Suzuki T: Molecular cloning of multiple chitinase genes in Japanese flounder, Paralichthys olivaceus.

    Comp Biochem Physiol B Biochem Mol Biol 2004, 138:255-264. PubMed Abstract | Publisher Full Text OpenURL

  95. Boot RG, Blommaart EF, Swart E, Ghauharali-van der Vlugt K, Bijl N, Moe C, Place A, Aerts JM: Identification of a novel acidic mammalian chitinase distinct from chitotriosidase.

    J Biol Chem 2001, 276:6770-6778. PubMed Abstract | Publisher Full Text OpenURL

  96. Perrazolo L, Coward K, Davail B, Normand E, Tyler CR, Pakdel F, Schneider WJ, Le Meen F: Expression and localization of messenger ribonucleic acid for the vitellogenin receptor in ovarian follicles throughout oogenesis in the rainbow trout Oncorhynchus mykiss.

    Biol Reprod 1999, 60:1057-1068. PubMed Abstract | Publisher Full Text OpenURL

  97. Wang H, Tan JTT, Emelyanov A, Korzh V, Gong Z: Hepatic and extrahepatic expression of vitellogenin genes in the zebrafish, Danio rerio.

    Gene 2005, 356:91-100. PubMed Abstract | Publisher Full Text OpenURL

  98. Riggio M, Scudiero R, Filosa S, Parisi E: Sex- and tissue-specific expression of aspartic proteinases in Danio rerio (zebrafish).

    Gene 2000, 260:67-75. PubMed Abstract | Publisher Full Text OpenURL

  99. Riggio M, Scudiero R, Filosa S, Parisi E: Oestrogen-induced expression of a novel liver-specific aspartic proteinase in Danio rerio (zebrafish).

    Gene 2002, 295:241-246. PubMed Abstract | Publisher Full Text OpenURL

  100. Download UniGene [ftp://ftp.ncbi.nih.gov/repository/UniGene/] webcite

    2006.

  101. TIGR download Zebrafish Gene Index [ftp://ftp.tigr.org/pub/data/tgi/Danio_rerio/] webcite

    2006.

  102. NCBI UniGene Danio rerio Library Browser [http://www.ncbi.nlm.nih.gov/UniGene/lbrowse2.cgi?TAXID=7955] webcite

    2006.

  103. Tingaud-Sequeira A, André M, Forgue J, Barthe C, Babin PJ: Expression pattern of three estrogen receptor genes during zebrafish (Danio rerio) development: evidence for a high expression in neuromasts.

    Gene Expr Patterns 2004, 4:561-568. PubMed Abstract | Publisher Full Text OpenURL

  104. Chomczynski P: A reagent for the single-step simultaneous isolation of RNA, DNA and proteins from cell and tissue samples.

    Biotechniques 1993, 15:532-534.

    536–537

    PubMed Abstract OpenURL

  105. Yates JR 3rd, Morgan SF, Gatlin CL, Griffin PR, Eng JK: Method to compare collision-induced dissociation spectra of peptides: potential for library searching and subtractive analysis.

    Anal Chem 1998, 70:3557-3565. PubMed Abstract | Publisher Full Text OpenURL

  106. Beer I, Barnea E, Ziv T, Admon A: Improving large-scale proteomics by clustering of mass spectrometry data.

    Proteomics 2004, 4:950-960. PubMed Abstract | Publisher Full Text OpenURL

  107. Perkins DN, Pappin DJ, Creasy DM, Cottrell JS: Probability-based protein identification by searching sequence databases using mass spectrometry data.

    Electrophoresis 1999, 20:3551-3567. PubMed Abstract | Publisher Full Text OpenURL

  108. UniProt [http://www.ebi.uniprot.org/index.shtml] webcite

    2006.