Literature DB >> 9299013

Quantitative determination of gene expression by competitive reverse transcription-polymerase chain reaction in degraded RNA samples.

D Tong1, C Schneeberger, S Leodolter, R Zeillinger.   

Abstract

Quantitative competitive reverse transcription-polymerase chain reaction has become a powerful tool for determining the amount of mRNA in cultured cells as well as in tissue. To ensure the reliability of the analysis, RNA with high purity and integrity is needed. However, when analyzing RNA samples from tumor biopsies, RNA degradation is often an inevitable problem. This causes differences in sample quality and furthermore adversely affects the quantification of gene expression. Here, we demonstrate that in partially degraded RNA samples different mRNAs are degraded to the same extent. Normalizing the expression level of a specific gene to that of a constitutively expressed gene in the same sample allows the relative quantification of this specific gene. Thus, the comparison of gene expression in RNA samples with varying integrity is possible. Copyright 1997 Academic Press.

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Year:  1997        PMID: 9299013     DOI: 10.1006/abio.1997.2280

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  4 in total

1.  Towards quantitative mRNA analysis in paraffin-embedded tissues using real-time reverse transcriptase-polymerase chain reaction: a methodological study on lymph nodes from melanoma patients.

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Journal:  J Mol Diagn       Date:  2003-02       Impact factor: 5.568

2.  BRCA1 mediates ligand-independent transcriptional repression of the estrogen receptor.

Authors:  L Zheng; L A Annab; C A Afshari; W H Lee; T G Boyer
Journal:  Proc Natl Acad Sci U S A       Date:  2001-08-07       Impact factor: 11.205

3.  A single-tube quantitative assay for mRNA levels of hormonal and growth factor receptors in breast cancer specimens.

Authors:  Ayuko A Iverson; Cheryl Gillett; Paul Cane; Christopher D Santini; Thomas M Vess; Lauren Kam-Morgan; Alice Wang; Marcia Eisenberg; Charles M Rowland; Janice J Hessling; Samuel E Broder; John J Sninsky; Andrew Tutt; Steven Anderson; Sheng-Yung P Chang
Journal:  J Mol Diagn       Date:  2009-03       Impact factor: 5.568

4.  Exfoliated cells in stool: a source for reverse transcription-PCR-based analysis of biomarkers of gastrointestinal cancer.

Authors:  Ying Jie Yu; Adhip P N Majumdar; Jordan M Nechvatal; Jeffrey L Ram; Marc D Basson; Lance K Heilbrun; Ikuko Kato
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-02       Impact factor: 4.254

  4 in total

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