Literature DB >> 19539678

Application of a master equation for quantitative mRNA analysis using qRT-PCR.

Z Lewis Liu1, Debra E Palmquist, Menggen Ma, Jiangbo Liu, Nancy J Alexander.   

Abstract

The qRT-PCR has been widely accepted as the assay of choice for mRNA quantification. For conventional practice, housekeeping genes have been applied as internal reference for data normalization and analysis since the technology appeared. However, housekeeping genes vary under different conditions and environmental stimuli and no commonly accepted housekeeping gene references are available. Accurate data acquisition and data reproducibility remain challenging and it is difficult to compare results from different experimental sources. Using yeast and a Fusarium fungus as examples, we demonstrate the independent performance of a sole reference gene, CAB, designated as a constant manual threshold for data acquisition, normalization, and analysis for multiple plate reactions. A robust master equation based on the CAB reference and the set of calibration control genes thereafter was established to estimate mRNA abundance for the same RNA background reactions. A valid range of amplification efficiency between 95% and 100% was observed for the control genes in different RNA background applied on an ABI real time PCR 7500 system. This newly developed robust quality control system provides a reliable means for absolute quantification of mRNA using the qRT-PCR, simplifies the conventional qRT-PCR procedures, and increases data reliability, reproducibility, and throughput of the assay.

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Year:  2009        PMID: 19539678     DOI: 10.1016/j.jbiotec.2009.06.006

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  8 in total

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Journal:  Mar Biotechnol (NY)       Date:  2016-05-10       Impact factor: 3.619

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Authors:  Qingdi Quentin Li; Jeff Skinner; John E Bennett
Journal:  BMC Mol Biol       Date:  2012-06-29       Impact factor: 2.946

3.  Quantitative transcription dynamic analysis reveals candidate genes and key regulators for ethanol tolerance in Saccharomyces cerevisiae.

Authors:  Menggen Ma; Lewis Z Liu
Journal:  BMC Microbiol       Date:  2010-06-10       Impact factor: 3.605

4.  Comparative transcriptome profiling analyses during the lag phase uncover YAP1, PDR1, PDR3, RPN4, and HSF1 as key regulatory genes in genomic adaptation to the lignocellulose derived inhibitor HMF for Saccharomyces cerevisiae.

Authors:  Menggen Ma; Z Lewis Liu
Journal:  BMC Genomics       Date:  2010-11-24       Impact factor: 3.969

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Journal:  Reprod Biol Endocrinol       Date:  2013-12-11       Impact factor: 5.211

6.  Two New Native β-Glucosidases from Clavispora NRRL Y-50464 Confer Its Dual Function as Cellobiose Fermenting Ethanologenic Yeast.

Authors:  Xu Wang; Z Lewis Liu; Scott A Weber; Xiaoping Zhang
Journal:  PLoS One       Date:  2016-03-24       Impact factor: 3.240

7.  Signature pathway expression of xylose utilization in the genetically engineered industrial yeast Saccharomyces cerevisiae.

Authors:  Quanzhou Feng; Z Lewis Liu; Scott A Weber; Shizhong Li
Journal:  PLoS One       Date:  2018-04-05       Impact factor: 3.240

8.  Analysis of 17β-estradiol (E2) role in the regulation of corpus luteum function in pregnant rats: Involvement of IGFBP5 in the E2-mediated actions.

Authors:  Sudeshna Tripathy; Killivalavan Asaithambi; P Jayaram; R Medhamurthy
Journal:  Reprod Biol Endocrinol       Date:  2016-04-12       Impact factor: 5.211

  8 in total

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