Literature DB >> 19383715

Revealing the bovine embryo transcript profiles during early in vivo embryonic development.

Maud Vallée1, Isabelle Dufort, Stéphanie Desrosiers, Aurélie Labbe, Catherine Gravel, Isabelle Gilbert, Claude Robert, Marc-André Sirard.   

Abstract

Gene expression profiling is proving to be a powerful approach for the identification of molecular mechanisms underlying complex cellular functions such as the dynamic early embryonic development. The objective of this study was to perform a transcript abundance profiling analysis of bovine early embryonic development in vivo using a bovine developmental array. The molecular description of the first week of life at the mRNA level is particularly challenging when considering the important fluctuations in RNA content that occur between developmental stages. Accounting for the different intrinsic RNA content between developmental stages was achieved by restricting the reaction time during the global amplification steps and by using spiked controls and reference samples. Analysis based on intensity values revealed that most of the transcripts on the array were present at some point during in vivo bovine early embryonic development, while the varying number of genes detected in each developmental stage confirmed the dynamic profile of gene expression occurring during embryonic development. Pair-wise comparison of gene expression showed a marked difference between oocytes and blastocysts profiles, and principal component analysis revealed that the majority of the transcripts could be regrouped into three main clusters representing distinct RNA abundance profiles. Overall, these data provide a detailed temporal profile of the abundance of mRNAs revealing the richness of signaling processes in early mammalian development. Results presented here provide better knowledge of bovine in vivo embryonic development and contribute to the progression of our current knowledge regarding the first week of life in mammals.

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Year:  2009        PMID: 19383715     DOI: 10.1530/REP-08-0533

Source DB:  PubMed          Journal:  Reproduction        ISSN: 1470-1626            Impact factor:   3.906


  8 in total

1.  Transcriptome Profiling of In-Vivo Produced Bovine Pre-implantation Embryos Using Two-color Microarray Platform.

Authors:  Reza Salehi; Stephen C M Tsoi; Marcos G Colazo; Divakar J Ambrose; Claude Robert; Michael K Dyck
Journal:  J Vis Exp       Date:  2017-01-30       Impact factor: 1.355

2.  Transcriptome profiling of embryonic development rate in rainbow trout advanced backcross introgression lines.

Authors:  Peng Xu; Lauren M McIntyre; Julie Scardina; Paul A Wheeler; Gary H Thorgaard; Krista M Nichols
Journal:  Mar Biotechnol (NY)       Date:  2010-03-30       Impact factor: 3.619

Review 3.  Network Approaches for Charting the Transcriptomic and Epigenetic Landscape of the Developmental Origins of Health and Disease.

Authors:  Salvo Danilo Lombardo; Ivan Fernando Wangsaputra; Jörg Menche; Adam Stevens
Journal:  Genes (Basel)       Date:  2022-04-26       Impact factor: 4.141

4.  Method to isolate polyribosomal mRNA from scarce samples such as mammalian oocytes and early embryos.

Authors:  Sara Scantland; Jean-Philippe Grenon; Marie-Hélène Desrochers; Marc-André Sirard; Edward W Khandjian; Claude Robert
Journal:  BMC Dev Biol       Date:  2011-02-15       Impact factor: 1.978

5.  Evaluation of reference genes in mouse preimplantation embryos for gene expression studies using real-time quantitative RT-PCR (RT-qPCR).

Authors:  Jae-Kyo Jeong; Min-Hee Kang; Sangiliyandi Gurunathan; Ssang-Goo Cho; Chankyu Park; Han Geuk Seo; Jin-Hoi Kim
Journal:  BMC Res Notes       Date:  2014-09-25

6.  Transcriptome profiling of bovine inner cell mass and trophectoderm derived from in vivo generated blastocysts.

Authors:  S M Hosseini; I Dufort; J Caballero; F Moulavi; H R Ghanaei; M A Sirard
Journal:  BMC Dev Biol       Date:  2015-12-18       Impact factor: 1.978

7.  Development of a porcine (Sus scofa) embryo-specific microarray: array annotation and validation.

Authors:  Stephen Tsoi; Chi Zhou; Jason R Grant; J Alexander Pasternak; John Dobrinsky; Philippe Rigault; Julie Nieminen; Marc-André Sirard; Claude Robert; George R Foxcroft; Michael K Dyck
Journal:  BMC Genomics       Date:  2012-08-03       Impact factor: 3.969

8.  RNA-seq analysis of single bovine blastocysts.

Authors:  James L Chitwood; Gonzalo Rincon; German G Kaiser; Juan F Medrano; Pablo J Ross
Journal:  BMC Genomics       Date:  2013-05-25       Impact factor: 3.969

  8 in total

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