Gene expression in the mouse preimplantation embryo

Stanton, Jo-Ann; Macgregor, Andrew B; Green, David P. L.

doi:10.1530/rep.0.1250457

Cited by 30 publications

(4 citation statements)

References 57 publications

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“…However, the molecular analysis of mammalian pre-and peri-implantation development has, until recently, proven a particular challenge because of the limited amounts of material available for study. With the advent of new technologies, particularly microarray analysis, fresh insight is now being gained into the genes that are expressed during the transition from the unfertilized oocyte to the implanting blastocyst [1][2][3][4][5][6][7][8][9][10][11]. Gene targeting has also led to the identification of several critical genes that are required during this period of mouse embryogenesis [1,[6][7][8]12].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Transcription Factor AP-2 Expression and Function During Mouse Preimplantation Development1

Winger

Huang

Auman

et al. 2006

Biology of Reproduction

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The activating protein 2 (AP-2) transcription factor family is required for multiple aspects of mouse postimplantation development, but much less is known about the expression and possible function of these genes during the preimplantation period. In the present study, we have examined the expression of all five members of the mouse AP-2 gene family in the unfertilized oocyte and from zygote formation to the blastocyst stage of development. Four AP-2 genes are differentially expressed during the preimplantation period,Tcfap2a, Tcfap2b, Tcfap2c, and Tcfap2e. Furthermore, with the exception of Tcfap2a, these genes are also expressed in unfertilized oocytes, indicating that they may be important for oogenesis, maternal-effect functions, or both. Given these findings, we have initiated studies to assess how various combinations of maternal and zygotic AP-2 gene expression might function together to regulate pre- and peri-implantation development. The present study focuses on the interplay between the expression of zygotic Tcfap2aand maternal and zygoticTcfap2c. These studies indicate that zygotic, but not maternal, Tcfap2cexpression is required for normal embryogenesis. In addition, the combined loss of both Tcfap2a and Tcfap2caccelerates embryonic lethality compared to the loss of either gene alone, demonstrating that genetic redundancy exists between these two AP-2 family members during the peri-implantation period of embryogenesis.

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Section: Introductionmentioning

confidence: 99%

Analysis of Transcription Factor AP-2 Expression and Function During Mouse Preimplantation Development1

Winger

Huang

Auman

et al. 2006

Biology of Reproduction

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“…Asmann et al [229] has used these EST data to identify genes differentially regulated between normal and malignant prostate tissue. Stanton et al [230] identified tissue-enriched gene expression in mouse pancreas, mammary gland and heart based on EST counts.…”

Section: Tissue Specificitymentioning

confidence: 99%

Transforming omics data into context: Bioinformatics on genomics and proteomics raw data

et al. 2006

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Differential gene expression analysis and proteomics have exerted significant impact on the elucidation of concerted cellular processes, as simultaneous measurement of hundreds to thousands of individual objects on the level of RNA and protein ensembles became technically feasible. The availability of such data sets has promised a profound understanding of phenomena on an aggregate level, expressed as the phenotypic response (observables) of cells, e.g., in the presence of drugs, or characterization of cells and tissue displaying distinct patho-physiological states. However, the step of transforming these data into context, i.e., linking distinct expression or abundance patterns with phenotypic observables -and furthermore enabling a sound biological interpretation on the level of reaction networks and concerted pathways, is still a major shortcoming. This finding is certainly based on the enormous complexity embedded in cellular reaction networks, but a variety of computational approaches have been developed over the last few years to overcome these issues. This review provides an overview on computational procedures for analysis of genomic and proteomic data introducing a sequential analysis workflow: Explorative statistics for deriving a first, from the purely statistical viewpoint, relevant candidate gene/protein list, followed by co-regulation and network analysis to biologically expand this core list toward functional networks and pathways. The review on these procedures is complemented by example applications tailored at identification of disease-associated proteins. Optimization of computational procedures involved, in conjunction with the continuous increase in additional biological data, clearly has the potential of boosting our understanding of processes on a cell-wide level.

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“…Although each technique has its own unique merit (for reviews, see Hurley et al 2000;Ko 2001Ko , 2004Stanton et al 2003), cDNA and oligonucleotide microarray technologies have gained precedence because they enable comparative whole-genome transcriptome analysis. In spite of this, there is a major drawback with the use of microarrays in comparison with the other technologies in that some lowabundant oocyte-and embryo-specific transcripts may not be represented as probes on most microarray platforms.…”

Section: Database Urlmentioning

confidence: 99%

Whole-genome approaches for large-scale gene identification and expression analysis in mammalian preimplantation embryos

Adjaye¹

2005

Reprod. Fertil. Dev.

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The elucidation, unravelling and understanding of the molecular basis of transcriptional control during preimplantation development is of utmost importance if we are to intervene and eliminate or reduce abnormalities associated with growth, disease and infertility by applying assisted reproduction. Importantly, these studies should enhance our knowledge of basic reproductive biology and its application to regenerative medicine and livestock production. A major obstacle impeding progress in these areas is the ability to successfully generate molecular portraits of preimplantation embryos from their minute amounts of RNA. The present review describes the various approaches whereby classical embryology fuses with molecular biology, high-throughput genomics and systems biology to address and solve questions related to early development in mammals.

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Gene expression in the mouse preimplantation embryo

Cited by 30 publications

References 57 publications

Analysis of Transcription Factor AP-2 Expression and Function During Mouse Preimplantation Development1

Analysis of Transcription Factor AP-2 Expression and Function During Mouse Preimplantation Development1

Transforming omics data into context: Bioinformatics on genomics and proteomics raw data

Whole-genome approaches for large-scale gene identification and expression analysis in mammalian preimplantation embryos

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