Literature DB >> 20699157

Gene expression profiling of mouse embryos with microarrays.

Alexei A Sharov1, Yulan Piao, Minoru S H Ko.   

Abstract

Global expression profiling by DNA microarrays provides a snapshot of cell and tissue status and becomes an essential tool in biological and medical sciences. Typical questions that can be addressed by microarray analysis in developmental biology include: (1) to find a set of genes expressed in a specific cell type; (2) to identify genes expressed commonly in multiple cell types; (3) to follow the time-course changes of gene expression patterns; (4) to demonstrate cell's identity by showing similarities or differences among two or multiple cell types; (5) to find regulatory pathways and/or networks affected by gene manipulations, such as overexpression or repression of gene expression; (6) to find downstream target genes of transcription factors; (7) to find downstream target genes of cell signaling; (8) to examine the effects of environmental manipulation of cells on gene expression patterns; and (9) to find the effects of genetic manipulation in embryos and adults. Here, we describe strategies for executing these experiments and monitoring changes of cell state with gene expression microarrays in application to mouse embryology. Both statistical assessment and interpretation of data are discussed. We also present a protocol for performing microarray analysis on a small amount of embryonic materials. 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20699157      PMCID: PMC3166619          DOI: 10.1016/S0076-6879(10)77025-7

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  76 in total

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Journal:  Nat Methods       Date:  2008-05-30       Impact factor: 28.547

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6.  An in situ hybridization-based screen for heterogeneously expressed genes in mouse ES cells.

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10.  Identification of Pou5f1, Sox2, and Nanog downstream target genes with statistical confidence by applying a novel algorithm to time course microarray and genome-wide chromatin immunoprecipitation data.

Authors:  Alexei A Sharov; Shinji Masui; Lioudmila V Sharova; Yulan Piao; Kazuhiro Aiba; Ryo Matoba; Li Xin; Hitoshi Niwa; Minoru S H Ko
Journal:  BMC Genomics       Date:  2008-06-03       Impact factor: 3.969

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  2 in total

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2.  Microarray analysis of embryo-derived bovine pluripotent cells: The vulnerable state of bovine embryonic stem cells.

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Journal:  PLoS One       Date:  2017-03-03       Impact factor: 3.240

  2 in total

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