Literature DB >> 15763554

Study of stem cell function using microarray experiments.

Carolina Perez-Iratxeta1, Gareth Palidwor, Christopher J Porter, Neal A Sanche, Matthew R Huska, Brian P Suomela, Enrique M Muro, Paul M Krzyzanowski, Evan Hughes, Pearl A Campbell, Michael A Rudnicki, Miguel A Andrade.   

Abstract

DNA Microarrays are used to simultaneously measure the levels of thousands of mRNAs in a sample. We illustrate here that a collection of such measurements in different cell types and states is a sound source of functional predictions, provided the microarray experiments are analogous and the cell samples are appropriately diverse. We have used this approach to study stem cells, whose identity and mechanisms of control are not well understood, generating Affymetrix microarray data from more than 200 samples, including stem cells and their derivatives, from human and mouse. The data can be accessed online (StemBase; http://www.scgp.ca:8080/StemBase/).

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Year:  2005        PMID: 15763554     DOI: 10.1016/j.febslet.2005.02.020

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  32 in total

Review 1.  Electrophysiological and gene expression profiling of neuronal cell types in mammalian neocortex.

Authors:  Kojiro Yano; Tatiana Subkhankulova; Frederick J Livesey; Hugh P C Robinson
Journal:  J Physiol       Date:  2006-07-13       Impact factor: 5.182

2.  A meta-analysis of human embryonic stem cells transcriptome integrated into a web-based expression atlas.

Authors:  Said Assou; Tanguy Le Carrour; Sylvie Tondeur; Susanne Ström; Audrey Gabelle; Sophie Marty; Laure Nadal; Véronique Pantesco; Thierry Réme; Jean-Philippe Hugnot; Stéphan Gasca; Outi Hovatta; Samir Hamamah; Bernard Klein; John De Vos
Journal:  Stem Cells       Date:  2007-01-04       Impact factor: 6.277

3.  Diverse adult stem cells share specific higher-order patterns of gene expression.

Authors:  Jason M Doherty; Michael J Geske; Thaddeus S Stappenbeck; Jason C Mills
Journal:  Stem Cells       Date:  2008-05-29       Impact factor: 6.277

Review 4.  Transcriptomics and proteomics in stem cell research.

Authors:  Hai Wang; Qian Zhang; Xiangdong Fang
Journal:  Front Med       Date:  2014-06-27       Impact factor: 4.592

5.  Genomic signatures of germline gene expression.

Authors:  Graham McVicker; Phil Green
Journal:  Genome Res       Date:  2010-08-04       Impact factor: 9.043

6.  Identification of novel stem cell markers using gap analysis of gene expression data.

Authors:  Paul M Krzyzanowski; Miguel A Andrade-Navarro
Journal:  Genome Biol       Date:  2007       Impact factor: 13.583

7.  A myelopoiesis-associated regulatory intergenic noncoding RNA transcript within the human HOXA cluster.

Authors:  Xueqing Zhang; Zheng Lian; Carolyn Padden; Mark B Gerstein; Joel Rozowsky; Michael Snyder; Thomas R Gingeras; Philipp Kapranov; Sherman M Weissman; Peter E Newburger
Journal:  Blood       Date:  2009-01-14       Impact factor: 22.113

8.  Normalization with genes encoding ribosomal proteins but not GAPDH provides an accurate quantification of gene expressions in neuronal differentiation of PC12 cells.

Authors:  Lihan Zhou; Qing-En Lim; Guoqiang Wan; Heng-Phon Too
Journal:  BMC Genomics       Date:  2010-01-29       Impact factor: 3.969

9.  GPAT: retrieval of genomic annotation from large genomic position datasets.

Authors:  Arnaud Krebs; Mattia Frontini; Làszlò Tora
Journal:  BMC Bioinformatics       Date:  2008-12-15       Impact factor: 3.169

10.  A gene expression signature shared by human mature oocytes and embryonic stem cells.

Authors:  Said Assou; Doris Cerecedo; Sylvie Tondeur; Véronique Pantesco; Outi Hovatta; Bernard Klein; Samir Hamamah; John De Vos
Journal:  BMC Genomics       Date:  2009-01-08       Impact factor: 3.969

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