Literature DB >> 12074198

Quantifying gene expression.

Charles M Roth1.   

Abstract

Identifying those genes that are expressed and at what levels is an essential part of almost any biological inquiry at the cellular level. Techniques such as Northern blot have been in existence for decades to perform this task, but advances in molecular biology and bioinstrumentation have led to the development of a variety of new techniques with a range of sensitivities, throughputs and quantitative capabilities. This review focuses on the latter issue. For several commonly used gene expression techniques, the extent and range of quantitative applicability are reviewed, and approaches for maximizing the accuracy and precision of these measurements are discussed.

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Year:  2002        PMID: 12074198

Source DB:  PubMed          Journal:  Curr Issues Mol Biol        ISSN: 1467-3037            Impact factor:   2.081


  6 in total

1.  A high-throughput gene expression analysis technique using competitive PCR and matrix-assisted laser desorption ionization time-of-flight MS.

Authors:  Chunming Ding; Charles R Cantor
Journal:  Proc Natl Acad Sci U S A       Date:  2003-03-06       Impact factor: 11.205

2.  Effects of aging, dietary restriction and glucocorticoid treatment on housekeeping gene expression in rat cortex and hippocampus-evaluation by real time RT-PCR.

Authors:  Nikola Tanic; Milka Perovic; Aleksandra Mladenovic; Sabera Ruzdijic; Selma Kanazir
Journal:  J Mol Neurosci       Date:  2007       Impact factor: 3.444

3.  Real-time PCR quantification using a variable reaction efficiency model.

Authors:  Adrian E Platts; Graham D Johnson; Amelia K Linnemann; Stephen A Krawetz
Journal:  Anal Biochem       Date:  2008-06-05       Impact factor: 3.365

4.  A New Robust Method for Nonlinear Regression.

Authors:  M A Tabatabai; J J Kengwoung-Keumo; W M Eby; S Bae; U Manne; M Fouad; K P Singh
Journal:  J Biom Biostat       Date:  2014

5.  Enhancing the efficiency of a PCR using gold nanoparticles.

Authors:  Min Li; Yu-Cheng Lin; Chao-Chin Wu; Hsiao-Sheng Liu
Journal:  Nucleic Acids Res       Date:  2005-11-27       Impact factor: 16.971

6.  Quantifying 35 transcripts in a single tube: model-based calibration of the GeXP multiplex RT-PCR assay.

Authors:  Pauline Marquardt; Britta Werthmann; Viktoria Rätzel; Markus Haas; Wolfgang Marwan
Journal:  BMC Biotechnol       Date:  2021-04-14       Impact factor: 2.563

  6 in total

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