Literature DB >> 10556317

Rapid analysis of gene expression (RAGE) facilitates universal expression profiling.

A Wang1, A Pierce, K Judson-Kremer, S Gaddis, C M Aldaz, D G Johnson, M C MacLeod.   

Abstract

Current techniques for analysis of gene expression either monitor one gene at a time, for example northern hybridization or RT-PCR methods, or are designed for the simultaneous analysis of thousands of genes, for example microarray hybridization or serial analysis of gene expression. To provide a flexible, intermediate scale alternative, a PCR-based method for the rapid analysis of gene expression has been developed which allows expression changes to be determined in either a directed search of known genes, or an undirected survey of unknown genes. A single set of reagents and reaction conditions allows analyses of most genes in any eukaryote. The method is useful for assaying on the order of tens to hundreds of genes in multiple samples. Control experiments indicate reliable detection of changes in gene expression 2-fold and greater, and sensitivity of detection better than 1 in 10 000. Analyses of over 400 genes in a mouse system transgenic for the E2F1 gene have identified several new downstream targets of E2F1, including Brca1 and Cdk7, in addition to several unidentified genes that are upregulated in the transgenic mice. Changes in expression of several genes related to apoptosis suggest a possible potentiation of apoptotic pathways in the transgenic keratinocytes.

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Year:  1999        PMID: 10556317      PMCID: PMC148749          DOI: 10.1093/nar/27.23.4609

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  8 in total

Review 1.  Microarrays under the microscope.

Authors:  S E Wildsmith; F J Elcock
Journal:  Mol Pathol       Date:  2001-02

2.  Gene expression profiling using a novel method: amplified differential gene expression (ADGE).

Authors:  Z J Chen; H Shen; K D Tew
Journal:  Nucleic Acids Res       Date:  2001-05-15       Impact factor: 16.971

3.  Single primer amplification (SPA) of cDNA for microarray expression analysis.

Authors:  Lee Smith; Peter Underhill; Clare Pritchard; Zuzanna Tymowska-Lalanne; Saba Abdul-Hussein; Helen Hilton; Laura Winchester; Deborah Williams; Tom Freeman; Sarah Webb; Andy Greenfield
Journal:  Nucleic Acids Res       Date:  2003-02-01       Impact factor: 16.971

Review 4.  Defining molecular and cellular responses after low and high linear energy transfer radiations to develop biomarkers of carcinogenic risk or therapeutic outcome.

Authors:  Michael Story; Liang-hao Ding; William A Brock; K Kian Ang; Ghazi Alsbeih; John Minna; Seongmi Park; Amit Das
Journal:  Health Phys       Date:  2012-11       Impact factor: 1.316

5.  Control of gene expression during T cell activation: alternate regulation of mRNA transcription and mRNA stability.

Authors:  Chris Cheadle; Jinshui Fan; Yoon S Cho-Chung; Thomas Werner; Jill Ray; Lana Do; Myriam Gorospe; Kevin G Becker
Journal:  BMC Genomics       Date:  2005-05-20       Impact factor: 3.969

6.  Robust analysis of 5'-transcript ends (5'-RATE): a novel technique for transcriptome analysis and genome annotation.

Authors:  Malali Gowda; Haumeng Li; Joe Alessi; Feng Chen; Richard Pratt; Guo-Liang Wang
Journal:  Nucleic Acids Res       Date:  2006-09-29       Impact factor: 16.971

7.  Application of serial analysis of gene expression to the study of the gene expression profile of Leishmania infantum chagasi promastigote.

Authors:  Adelino Soares Lima Neto; Osvaldo Pompílio de Melo Neto; Carlos Henrique Nery Costa
Journal:  J Biomed Biotechnol       Date:  2012-04-10

8.  Studying the functional genomics of stress responses in loblolly pine with the Expresso microarray experiment management system.

Authors:  Lenwood S Heath; Naren Ramakrishnan; Ronald R Sederoff; Ross W Whetten; Boris I Chevone; Craig A Struble; Vincent Y Jouenne; Dawei Chen; Leonel van Zyl; Ruth Grene
Journal:  Comp Funct Genomics       Date:  2002
  8 in total

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