Literature DB >> 12833672

Microarray expression profiling: analysis and applications.

Zhaoying Xiang1, Yaning Yang, Xiaojing Ma, Wei Ding.   

Abstract

Recent advances in the technology of massive parallel gene expression profiling using microarrays are revolutionizing biomedical research and pharmacological discovery. These new and powerful tools allow researchers to examine the dynamics of a whole biological system by simultaneously interrogating the expression of tens of thousands of genes. This article will review the various bioinformatics and statistical methods commonly used to analyze the enormous amounts of data generated by this technology. The objective of these analyses is to reliably extract important biological information from carefully designed and controlled microarray experiments, and to organize the information in ways that reveal structured and coordinated physiological processes and key components controlling the biological responses studied. The major applications of the microarray technology, recently used to address a variety of biological questions of interest to scientists and clinicians in academia, healthcare and the pharmaceutical industry, will also be presented.

Mesh:

Year:  2003        PMID: 12833672

Source DB:  PubMed          Journal:  Curr Opin Drug Discov Devel        ISSN: 1367-6733


  9 in total

1.  Assessing the quality of hybridized RNA in Affymetrix GeneChips using linear regression.

Authors:  Meijuan Li; Cavan Reilly
Journal:  J Biomol Tech       Date:  2008-04

2.  Screening and test of CD40 related signal transduction pathway in AGS cells and construction of gene silencing vector.

Authors:  Rui Li; Wei-Chang Chen; Xue-Qin Pang; Wen-Yan Tian; Wei-Peng Wang; Xue-Guang Zhang
Journal:  Mol Biol Rep       Date:  2013-05-08       Impact factor: 2.316

3.  Application of microarrays to identify and characterize genes involved in attachment dependence in HeLa cells.

Authors:  Pratik Jaluria; Michael Betenbaugh; Konstantinos Konstantopoulos; Bryan Frank; Joseph Shiloach
Journal:  Metab Eng       Date:  2006-12-13       Impact factor: 9.783

4.  Quality assessment of microarray data in a multicenter study.

Authors:  Kellie J Archer; Valeria R Mas; Thomas R O'Brien; Ruth Pfeiffer; Nicole L Lum; Robert A Fisher
Journal:  Diagn Mol Pathol       Date:  2009-03

Review 5.  Oligonucleotide microarray technology and its application to Mycobacterium avium subsp. paratuberculosis research: a review.

Authors:  Radka Pribylova; Petr Kralik; Ivo Pavlik
Journal:  Mol Biotechnol       Date:  2009-01-06       Impact factor: 2.695

Review 6.  "Sleeping beauty": quiescence in Saccharomyces cerevisiae.

Authors:  Joseph V Gray; Gregory A Petsko; Gerald C Johnston; Dagmar Ringe; Richard A Singer; Margaret Werner-Washburne
Journal:  Microbiol Mol Biol Rev       Date:  2004-06       Impact factor: 11.056

7.  A perspective on microarrays: current applications, pitfalls, and potential uses.

Authors:  Pratik Jaluria; Konstantinos Konstantopoulos; Michael Betenbaugh; Joseph Shiloach
Journal:  Microb Cell Fact       Date:  2007-01-25       Impact factor: 5.328

Review 8.  Recent Major Transcriptomics and Epitranscriptomics Contributions toward Personalized and Precision Medicine.

Authors:  Ghada Mubarak; Farah R Zahir
Journal:  J Pers Med       Date:  2022-02-01

9.  Mycobacterium avium subsp. Paratuberculosis and the expression of selected virulence and pathogenesis genes in response to 6°C, 65°c and ph 2.0.

Authors:  Radka Pribylova; Petr Kralik; Neysan Donnelly; Jan Matiasovic; Ivo Pavlik
Journal:  Braz J Microbiol       Date:  2011-06-01       Impact factor: 2.476

  9 in total

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