Literature DB >> 12632700

Improved method for generating microarray probes using submicrogram amounts of total RNA.

E J Murray1.   

Abstract

The ability to identify disease-associated genes using microarray technology is dependent on isolating high-quality total RNA from the diseased tissue under study. However, it is not always possible to obtain large amounts of affected tissue from patients and therefore the quality and yield of RNA may be compromised. This protocol described a procedure for generating superior microarray probes by amplifying RNA sequences via successive rounds of in vitro transcription (IVT) reactions. This improved procedure utilizes a 9-mer primer to generate the IVT template, which is able to recapitulate the size ditribution of the original isolated RNA sample.

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Year:  2003        PMID: 12632700     DOI: 10.1385/MB:23:2:171

Source DB:  PubMed          Journal:  Mol Biotechnol        ISSN: 1073-6085            Impact factor:   2.695


  11 in total

Review 1.  Genomic-scale analysis of gene expression in resting and activated T cells.

Authors:  P Marrack; T Mitchell; D Hildeman; R Kedl; T K Teague; J Bender; W Rees; B C Schaefer; J Kappler
Journal:  Curr Opin Immunol       Date:  2000-04       Impact factor: 7.486

2.  Analysis of mucosal gene expression in inflammatory bowel disease by parallel oligonucleotide arrays.

Authors:  B K Dieckgraefe; W F Stenson; J R Korzenik; P E Swanson; C A Harrington
Journal:  Physiol Genomics       Date:  2000-11-09       Impact factor: 3.107

3.  Differential gene expression in p53-mediated apoptosis-resistant vs. apoptosis-sensitive tumor cell lines.

Authors:  S A Maxwell; G E Davis
Journal:  Proc Natl Acad Sci U S A       Date:  2000-11-21       Impact factor: 11.205

4.  Importance of replication in microarray gene expression studies: statistical methods and evidence from repetitive cDNA hybridizations.

Authors:  M L Lee; F C Kuo; G A Whitmore; J Sklar
Journal:  Proc Natl Acad Sci U S A       Date:  2000-08-29       Impact factor: 11.205

5.  Gene microarray identification of redox and mitochondrial elements that control resistance or sensitivity to apoptosis.

Authors:  D W Voehringer; D L Hirschberg; J Xiao; Q Lu; M Roederer; C B Lock; L A Herzenberg; L Steinman; L A Herzenberg
Journal:  Proc Natl Acad Sci U S A       Date:  2000-03-14       Impact factor: 11.205

6.  Identification of genes differentially regulated by interferon alpha, beta, or gamma using oligonucleotide arrays.

Authors:  S D Der; A Zhou; B R Williams; R H Silverman
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-22       Impact factor: 11.205

7.  Gene expression profiles of laser-captured adjacent neuronal subtypes.

Authors:  L Luo; R C Salunga; H Guo; A Bittner; K C Joy; J E Galindo; H Xiao; K E Rogers; J S Wan; M R Jackson; M G Erlander
Journal:  Nat Med       Date:  1999-01       Impact factor: 53.440

8.  Effects of early angiotensin-converting enzyme inhibition on cardiac gene expression after acute myocardial infarction.

Authors:  H Jin; R Yang; T A Awad; F Wang; W Li; S P Williams; A Ogasawara; B Shimada; P M Williams; G de Feo ; N F Paoni
Journal:  Circulation       Date:  2001-02-06       Impact factor: 29.690

9.  Large-scale monitoring of host cell gene expression during HIV-1 infection using cDNA microarrays.

Authors:  G K Geiss; R E Bumgarner; M C An; M B Agy; A B van 't Wout; E Hammersmark; V S Carter; D Upchurch; J I Mullins; M G Katze
Journal:  Virology       Date:  2000-01-05       Impact factor: 3.616

10.  Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization.

Authors:  P T Spellman; G Sherlock; M Q Zhang; V R Iyer; K Anders; M B Eisen; P O Brown; D Botstein; B Futcher
Journal:  Mol Biol Cell       Date:  1998-12       Impact factor: 4.138

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