Literature DB >> 12668591

DNA microarrays and development.

Lee Smith1, Andy Greenfield.   

Abstract

Gene expression is a central concept in molecular biology: its control, frequently exquisite in terms of cell specificity and timing, forms part of our explanation of most biological processes. The importance of the control of gene expression for developmental biologists is made obvious by just considering the nature of their discipline. Development is the term we use to describe the coordination in time and space of numerous cellular activities such as mitosis, migration, differentiation and apoptosis. Understanding the role of genes in these processes thus necessitates the use of methods to determine patterns of transcription during development with a high degree of sensitivity and specificity, conventionally by in situ hybridization. However, there is a widespread conviction amongst biologists that the description of gene expression patterns is of no immediate functional relevance: definitive functional data are the exclusive prerogative of biochemistry and genetics. In this review of recent applications of DNA microarray technology by developmental biologists, we suggest that genome-wide expression profiling has met with some resistance owing to such preconceived ideas about the status of gene expression pattern descriptions and, in particular, the format in which these are delivered by microarrays.

Mesh:

Year:  2003        PMID: 12668591     DOI: 10.1093/hmg/ddg053

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  9 in total

1.  Efficient isolation and gene expression profiling of small numbers of neural crest stem cells and developing Schwann cells.

Authors:  Johanna Buchstaller; Lukas Sommer; Matthias Bodmer; Reinhard Hoffmann; Ueli Suter; Ned Mantei
Journal:  J Neurosci       Date:  2004-03-10       Impact factor: 6.167

2.  The potential landscape of genetic circuits imposes the arrow of time in stem cell differentiation.

Authors:  Jin Wang; Li Xu; Erkang Wang; Sui Huang
Journal:  Biophys J       Date:  2010-07-07       Impact factor: 4.033

Review 3.  Challenges in the study of neuronal differentiation: a view from the embryonic eye.

Authors:  Ruben Adler
Journal:  Dev Dyn       Date:  2005-11       Impact factor: 3.780

4.  Analysis of the Leishmania donovani transcriptome reveals an ordered progression of transient and permanent changes in gene expression during differentiation.

Authors:  A Saxena; T Lahav; N Holland; G Aggarwal; A Anupama; Y Huang; H Volpin; P J Myler; D Zilberstein
Journal:  Mol Biochem Parasitol       Date:  2006-12-12       Impact factor: 1.759

5.  An improved zebrafish transcriptome annotation for sensitive and comprehensive detection of cell type-specific genes.

Authors:  Nathan D Lawson; Rui Li; Masahiro Shin; Ann Grosse; Onur Yukselen; Oliver A Stone; Alper Kucukural; Lihua Zhu
Journal:  Elife       Date:  2020-08-24       Impact factor: 8.140

6.  A biphasic pattern of gene expression during mouse retina development.

Authors:  Samuel Shao-Min Zhang; Xuming Xu; Mu-Gen Liu; Hongyu Zhao; Marcelo Bento Soares; Colin J Barnstable; Xin-Yuan Fu
Journal:  BMC Dev Biol       Date:  2006-10-17       Impact factor: 1.978

7.  The Maestro (Mro) gene is dispensable for normal sexual development and fertility in mice.

Authors:  Lee Smith; John Willan; Nick Warr; Frances A Brook; Michael Cheeseman; Richard Sharpe; Pam Siggers; Andy Greenfield
Journal:  PLoS One       Date:  2008-12-31       Impact factor: 3.240

8.  Deep mRNA sequencing analysis to capture the transcriptome landscape of zebrafish embryos and larvae.

Authors:  Hongxing Yang; Yan Zhou; Jianlei Gu; Shuying Xie; Yao Xu; Genfeng Zhu; Lei Wang; Jiyue Huang; Hong Ma; Jihua Yao
Journal:  PLoS One       Date:  2013-05-20       Impact factor: 3.240

9.  Valproic acid teratogenicity: a toxicogenomics approach.

Authors:  Kim Kultima; Anna-Maja Nyström; Birger Scholz; Anne-Lee Gustafson; Lennart Dencker; Michael Stigson
Journal:  Environ Health Perspect       Date:  2004-08       Impact factor: 9.031

  9 in total

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