Open Access Research article

Sequential analysis of global gene expression profiles in immature and in vitro matured bovine oocytes: potential molecular markers of oocyte maturation

Solomon Mamo1*, Fiona Carter1, Patrick Lonergan1, Cláudia LV Leal12, Abdullah Al Naib1, Paul McGettigan1, Jai P Mehta1, Alexander CO Evans1 and Trudee Fair1

Author Affiliations

1 School of Agriculture, Food Science and Veterinary Medicine, College of Life Science, University College Dublin, Dublin 4, Ireland

2 Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo, Pirassununga-SP, Brazil

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BMC Genomics 2011, 12:151  doi:10.1186/1471-2164-12-151

Published: 16 March 2011

Additional files

Additional file 1:

Figure S1: Hierarchical clustering analysis of the less stringent gene list. Gene Spring software was used to analyze similarities among the 10 replicate samples (vertical bars) across the two treatments. Colours correspond to the level of expression of the detected genes each of which is represented by one horizontal bar.

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Additional file 2:

Figure S2: Data quality control analysis of GV (yellow) and MII (red) array results showing how the expression data of the ten replicates group together based on maturational status using (A) PCA plots and (B) hierarchically clustering.

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Additional file 3:

Table S1: Transcripts over-expressed in IVM oocytes compared to immature oocytes (GV).

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Additional file 4:

Table S2: Transcripts under-expressed in IVM oocytes compared to immature oocytes (GV).

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Additional file 5:

Figure S3: Comparative gene expression profiles of immature and in vitro mature oocytes after total RNA was reverse transcribed with different primers. The total RNA from these samples was reverse transcribed either with (A) random primer or (B) anchored oligo (dT) primers. In all cases, expression at the immature (GV) stage was taken as calibrator and relative expression levels were described as fold change.

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