| Summary: | <p>Abstract</p> <p>Background</p> <p>Without intensive selection, the majority of bovine oocytes submitted to <it>in vitro </it>embryo production (IVP) fail to develop to the blastocyst stage. This is attributed partly to their maturation status and competences. Using the Affymetrix GeneChip Bovine Genome Array, global mRNA expression analysis of immature (GV) and <it>in vitro </it>matured (IVM) bovine oocytes was carried out to characterize the transcriptome of bovine oocytes and then use a variety of approaches to determine whether the observed transcriptional changes during IVM was real or an artifact of the techniques used during analysis.</p> <p>Results</p> <p>8489 transcripts were detected across the two oocyte groups, of which ~25.0% (2117 transcripts) were differentially expressed (p < 0.001); corresponding to 589 over-expressed and 1528 under-expressed transcripts in the IVM oocytes compared to their immature counterparts. Over expression of transcripts by IVM oocytes is particularly interesting, therefore, a variety of approaches were employed to determine whether the observed transcriptional changes during IVM were real or an artifact of the techniques used during analysis, including the analysis of transcript abundance in oocytes <it>in vitro </it>matured in the presence of α-amanitin. Subsets of the differentially expressed genes were also validated by quantitative real-time PCR (qPCR) and the gene expression data was classified according to gene ontology and pathway enrichment. Numerous cell cycle linked (<it>CDC2, CDK5, CDK8, HSPA2, MAPK14, TXNL4B</it>), molecular transport (<it>STX5, STX17, SEC22A, SEC22B</it>), and differentiation (<it>NACA</it>) related genes were found to be among the several over-expressed transcripts in GV oocytes compared to the matured counterparts, while <it>ANXA1, PLAU, STC1and LUM </it>were among the over-expressed genes after oocyte maturation.</p> <p>Conclusion</p> <p>Using sequential experiments, we have shown and confirmed transcriptional changes during oocyte maturation. This dataset provides a unique reference resource for studies concerned with the molecular mechanisms controlling oocyte meiotic maturation in cattle, addresses the existing conflicting issue of transcription during meiotic maturation and contributes to the global goal of improving assisted reproductive technology.</p>
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