Literature DB >> 11377960

Spotting the target: microarrays for disease gene discovery.

P S Meltzer1.   

Abstract

Microarray technologies enable genome-scale expression measurements. Already proved to be of value for the functional analysis of individual genes and biological processes, the application of expression profiling to disease gene discovery is now growing in importance and practicality.

Mesh：

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Year:  2001        PMID： 11377960     DOI： 10.1016/s0959-437x(00)00187-8

Source DB:  PubMed          Journal:  Curr Opin Genet Dev        ISSN： 0959-437X            Impact factor:   5.578


  12 in total

1.  Prognostic gene expression signatures can be measured in tissues collected in RNAlater preservative.

Authors:  Dondapati Chowdary; Jessica Lathrop; Joanne Skelton; Kathleen Curtin; Thomas Briggs; Yi Zhang; Jack Yu; Yixin Wang; Abhijit Mazumder
Journal:  J Mol Diagn       Date:  2006-02       Impact factor: 5.568

2.  Effects of ligand and thyroid hormone receptor isoforms on hepatic gene expression profiles of thyroid hormone receptor knockout mice.

Authors:  Paul M Yen; Xu Feng; Frederic Flamant; Yidong Chen; Robert L Walker; Roy E Weiss; Olivier Chassande; Jacques Samarut; Samuel Refetoff; Paul S Meltzer
Journal:  EMBO Rep       Date:  2003-06       Impact factor: 8.807

3.  Distinct transcriptional profiles of adrenocortical tumors uncovered by DNA microarray analysis.

Authors:  Thomas J Giordano; Dafydd G Thomas; Rork Kuick; Michelle Lizyness; David E Misek; Angela L Smith; Donita Sanders; Rima T Aljundi; Paul G Gauger; Norman W Thompson; Jeremy M G Taylor; Samir M Hanash
Journal:  Am J Pathol       Date:  2003-02       Impact factor: 4.307

4.  Expressionview: visualization of quantitative trait loci and gene-expression data in Ensembl.

Authors:  Gertrud Fischer; Saleh M Ibrahim; Gudrun A Brockmann; Jens Pahnke; Ezio Bartocci; Hans-Jürgen Thiesen; Pablo Serrano-Fernández; Steffen Möller
Journal:  Genome Biol       Date:  2003-10-10       Impact factor: 13.583

Review 5.  Searching for osteoporosis genes in the post-genome era: progress and challenges.

Authors:  Qing-Yang Huang; Robert R Recker; Hong-Wen Deng
Journal:  Osteoporos Int       Date:  2003-08-05       Impact factor: 4.507

6.  Degree-adjusted algorithm for prioritisation of candidate disease genes from gene expression and protein interactome.

Authors:  Yichuan Wang; Haiyang Fang; Tinghong Yang; Duzhi Wu; Jing Zhao
Journal:  IET Syst Biol       Date:  2014-04       Impact factor: 1.615

7.  Ranking candidate disease genes from gene expression and protein interaction: a Katz-centrality based approach.

Authors:  Jing Zhao; Ting-Hong Yang; Yongxu Huang; Petter Holme
Journal:  PLoS One       Date:  2011-09-02       Impact factor: 3.240

Review 8.  Pharmacogenetics, pharmacogenomics and airway disease.

Authors:  Ian P Hall
Journal:  Respir Res       Date:  2001-11-26

9.  Improvement of experimental testing and network training conditions with genome-wide microarrays for more accurate predictions of drug gene targets.

Authors:  Lisa M Christadore; Lisa Pham; Eric D Kolaczyk; Scott E Schaus
Journal:  BMC Syst Biol       Date:  2014-01-20

10.  Gene expression analysis on small numbers of invasive cells collected by chemotaxis from primary mammary tumors of the mouse.

Authors:  Weigang Wang; Jeffrey B Wyckoff; Yarong Wang; Erwin P Bottinger; Jeffrey E Segall; John S Condeelis
Journal:  BMC Biotechnol       Date:  2003-08-12       Impact factor: 2.563
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