Advanced search
1 file | 368.91 KB Add to list

Standardization of real-time PCR gene expression data from independent biological replicates

(2008) ANALYTICAL BIOCHEMISTRY. 379(1). p.127-129
Author
Organization
Abstract
Gene expression analysis by quantitative reverse transcription PCR (qRT-PCR) allows accurate quantifications of messenger RNA (mRNA) levels over different samples. Corrective methods for different steps in the qRT-PCR reaction have been reported; however, statistical analysis and presentation of substantially variable biological repeats present problems and are often not meaningful, for example, in a biological system such as mouse embryonic stem cell differentiation. Based on a series of sequential corrections, including log transformation, mean centering, and autoscaling, we describe a robust and powerful standardization method that can be used on highly variable data sets to draw statistically reliable conclusions.

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 368.91 KB

Citation

Please use this url to cite or link to this publication:

MLA
Willems, Erik, et al. “Standardization of Real-Time PCR Gene Expression Data from Independent Biological Replicates.” ANALYTICAL BIOCHEMISTRY, vol. 379, no. 1, ACADEMIC PRESS INC ELSEVIER SCIENCE, 525 B ST, STE 1900, 2008, pp. 127–29, doi:10.1016/j.ab.2008.04.036.
APA
Willems, E., Leyns, L., & Vandesompele, J. (2008). Standardization of real-time PCR gene expression data from independent biological replicates. https://doi.org/10.1016/j.ab.2008.04.036
Chicago author-date
Willems, Erik, Luc Leyns, and Jo Vandesompele. 2008. “Standardization of Real-Time PCR Gene Expression Data from Independent Biological Replicates.” ANALYTICAL BIOCHEMISTRY. SAN DIEGO, CA 92101-4495 USA: ACADEMIC PRESS INC ELSEVIER SCIENCE, 525 B ST, STE 1900,. https://doi.org/10.1016/j.ab.2008.04.036.
Chicago author-date (all authors)
Willems, Erik, Luc Leyns, and Jo Vandesompele. 2008. “Standardization of Real-Time PCR Gene Expression Data from Independent Biological Replicates.” ANALYTICAL BIOCHEMISTRY. SAN DIEGO, CA 92101-4495 USA: ACADEMIC PRESS INC ELSEVIER SCIENCE, 525 B ST, STE 1900,. doi:10.1016/j.ab.2008.04.036.
Vancouver
1.
Willems E, Leyns L, Vandesompele J. Standardization of real-time PCR gene expression data from independent biological replicates. Vol. 379, ANALYTICAL BIOCHEMISTRY. SAN DIEGO, CA 92101-4495 USA: ACADEMIC PRESS INC ELSEVIER SCIENCE, 525 B ST, STE 1900,; 2008. p. 127–9.
IEEE
[1]
E. Willems, L. Leyns, and J. Vandesompele, “Standardization of real-time PCR gene expression data from independent biological replicates,” ANALYTICAL BIOCHEMISTRY, vol. 379, no. 1. ACADEMIC PRESS INC ELSEVIER SCIENCE, 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USA, pp. 127–129, 2008.
@misc{518134,
  abstract     = {{Gene expression analysis by quantitative reverse transcription PCR (qRT-PCR) allows accurate quantifications of messenger RNA (mRNA) levels over different samples. Corrective methods for different steps in the qRT-PCR reaction have been reported; however, statistical analysis and presentation of substantially variable biological repeats present problems and are often not meaningful, for example, in a biological system such as mouse embryonic stem cell differentiation. Based on a series of sequential corrections, including log transformation, mean centering, and autoscaling, we describe a robust and powerful standardization method that can be used on highly variable data sets to draw statistically reliable conclusions.}},
  author       = {{Willems, Erik and Leyns, Luc and Vandesompele, Jo}},
  issn         = {{0003-2697}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{127--129}},
  publisher    = {{ACADEMIC PRESS INC ELSEVIER SCIENCE, 525 B ST, STE 1900,}},
  series       = {{ANALYTICAL BIOCHEMISTRY}},
  title        = {{Standardization of real-time PCR gene expression data from independent biological replicates}},
  url          = {{http://doi.org/10.1016/j.ab.2008.04.036}},
  volume       = {{379}},
  year         = {{2008}},
}

Altmetric
View in Altmetric
Web of Science
Times cited: