Open Access Highly Accessed Research article

Integrated “omics” profiling indicates that miRNAs are modulators of the ontogenetic venom composition shift in the Central American rattlesnake, Crotalus simus simus

Jordi Durban1, Alicia Pérez1, Libia Sanz1, Aarón Gómez2, Fabián Bonilla2, Santos Rodríguez2, Danilo Chacón2, Mahmood Sasa2, Yamileth Angulo2, José M Gutiérrez2 and Juan J Calvete1*

Author Affiliations

1 Instituto de Biomedicina de Valencia, Consejo Superior de Investigaciones Científicas, Jaime Roig 11, Valencia, 46010, Spain

2 Instituto Clodomiro Picado, Facultad de Microbiología, Universidad de Costa Rica, San José, Costa Rica

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BMC Genomics 2013, 14:234  doi:10.1186/1471-2164-14-234

Published: 10 April 2013

Additional files

Additional file 1: Table S1:

RepeatMasker usage results and features of the sequence elements masked in the adult C. s. simus venom gland transcriptomes analyzed. Table S2. RepeatMasker usage results and features of the sequence elements masked in the adult C. s. simus venom gland transcriptomes analyzed.

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Additional file 2: Table S3:

Relative abundances of the different venom protein family hits in the venom gland transcriptomes of newborn and adult C. s. simus. Table S4. NoiSeq computed expression profile of highly expressed (>100 counts) miRNAs in the venom gland transcriptome listed by decreasing newborn (N) to adult (A) expression ratio. Table S5. NoiSeq computed expression profile of highly expressed (>100 counts) miRNAs in the venom gland transcriptome listed by decreasing adult (A) to newborn (N) expression ratio. Table S6. MiRanda predicted miRNAs complementary of 3'-UTR loci of 454 C. s. simus venom transcripts.

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Additional file 3: Figure S1:

Multiple alignment of transcript-deduced amino acid sequences of PLA2 molecules. Figure S2. Multiple alignment of transcript-deduced serine proteinase amino acid sequences. Figure S3. Multiple alignment of transcript-deduced amino acid sequences of snake venom metalloproteinases. Figure S4. Predicted targets for the miRNAs displayed in Figure 7, showing their Watson-Crick pairing to target 3'-UTR loci of PLA2 and SVMP 454 transcripts, and the corresponding binding energy calculated by MapMi.

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