4.3 Article

Comparative transcriptome analysis of in vivo- and in vitro-produced porcine Blastocysts by small amplified RNA-Serial analysis of gene expression (SAR-SAGE)

Journal

MOLECULAR REPRODUCTION AND DEVELOPMENT
Volume 75, Issue 6, Pages 976-988

Publisher

WILEY
DOI: 10.1002/mrd.20844

Keywords

in vitro fertilization; embryo culture; gene regulation; transcript profiles

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Production of embryos in vitro has enormous potential for research and commercial applications. Unfortunately, in vitro production of porcine embryos is extremely inefficient. Despite the characterization of distinct phenotypes, little is known about the molecular mechanisms and altered physiological processes of in vitro-produced embryos. The objective of this study was to compare global gene expression patterns from in vivo- (IVO) and in vitro-produced (IVP) porcine embryos using small amplified RNA-serial analysis of gene expression (SAR-SAGE). Whole-cell RNA from pools of Day 6 NO and IVP blastocysts was used to construct SAR-SAGE libraries. Sequence analysis of the NO and IVP libraries yielded 98,771 and 98,408 tags, respectively. A total of 20,029 and 23,453 putative transcripts were detected in the NO and IVP libraries, respectively. Statistical analyses of SAGE tag frequencies between the NO and IVP libraries indicated that 938 and 193 tags were differentially expressed at a P < 0.05 and P < 0.001 level of significance, respectively, suggesting significant deviations in transcriptome profiles from NO and IVP embryos. Categorization of differentially expressed transcripts into functional groupings indicated a significant deviation in gene expression from IVP blastocysts compared with IVO blastocysts for a number of biological processes including cellular metabolism, organization, and response to stress. Real-time PCR confirmed differential expression for several transcripts from independent NO and IVP blastocysts. These results demonstrate compromised gene expression in IVP blastocysts compared with NO blastocysts for a number of biological processes, particularly processes involved in mitochondrial function; thereby providing potential target pathways for improvement of IVP methods.

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