Literature DB >> 23690294

Next-generation qPCR for the high-throughput measurement of gene expression in multiple leukocyte subsets.

Mateusz G Adamski1, Yan Li, Erin Wagner, Hua Yu, Chloe Seales-Bailey, Steven A Soper, Michael Murphy, Alison E Baird.   

Abstract

Clinical studies of gene expression are increasingly using the whole blood, peripheral blood mononuclear cells, and leukocyte subsets involved in the innate and adaptive immune responses. However, the small amount of RNA available in the clinical setting is a limitation for commonly used methods such as quantitative polymerase chain reactions (qPCR) and microarrays. Our aim was to design 96 gene assays to simultaneously measure gene expression in the whole blood and seven leukocyte subsets using a new-generation qPCR method--high-throughput nanofluidic reverse transcription qPCR (HT RT-qPCR). The leukocyte subset purity was 94% to 98% for seven subsets and was less for the γδ T-cell receptor subset (80%). The HT RT-qPCR replicate sample measurements were highly reproducible (r = 0.997, p < 2.2 × 10(-16)), and the ΔΔCt values from HT RT-qPCR correlated significantly with those from qPCR. The control genes were differentially expressed across the eight leukocyte subsets in the control subjects (p = 1.3 × 10(-5), analysis of variance). Two analytical methods, absolute and relative, gave concordant results and were significantly correlated (p = 1.9 × 10(-9)). HT RT-qPCR permits the rapid, reproducible, and quantitative measurement of multiple transcripts using minimal sample amounts. The protocol described yielded leukocyte subsets of high purity and identified two analytic methods for use.

Keywords:  gene expression; leukocyte subsets; next-generation qPCR; normalization; reference genes

Mesh:

Substances:

Year:  2013        PMID: 23690294     DOI: 10.1177/1087057113489882

Source DB:  PubMed          Journal:  J Biomol Screen        ISSN: 1087-0571


  6 in total

1.  Expression profile based gene clusters for ischemic stroke detection.

Authors:  Mateusz G Adamski; Yan Li; Erin Wagner; Hua Yu; Chloe Seales-Bailey; Steven A Soper; Michael Murphy; Alison E Baird
Journal:  Genomics       Date:  2014-08-15       Impact factor: 5.736

2.  Pre-existing hypertension dominates γδT cell reduction in human ischemic stroke.

Authors:  Mateusz G Adamski; Yan Li; Erin Wagner; Hua Yu; Chloe Seales-Bailey; Helen Durkin; Qing Hao; Steven A Soper; Michael Murphy; Alison E Baird
Journal:  PLoS One       Date:  2014-05-19       Impact factor: 3.240

3.  Stability of Reference Genes for Messenger RNA Quantification by Real-Time PCR in Mouse Dextran Sodium Sulfate Experimental Colitis.

Authors:  Nour Eissa; Hayam Hussein; Hongxing Wang; Mohammad F Rabbi; Charles N Bernstein; Jean-Eric Ghia
Journal:  PLoS One       Date:  2016-05-31       Impact factor: 3.240

4.  First translational 'Think Tank' on cerebrovascular disease, cognitive impairment and dementia.

Authors:  Frank C Barone; Deborah Gustafson; Howard A Crystal; Herman Moreno; Mateusz G Adamski; Ken Arai; Alison E Baird; Clotilde Balucani; Adam M Brickman; David Cechetto; Philip Gorelick; Geert Jan Biessels; Amanda Kiliaan; Lenore Launer; Julie Schneider; Farzaneh A Sorond; Rachel Whitmer; Clinton Wright; Zheng Gang Zhang
Journal:  J Transl Med       Date:  2016-02-13       Impact factor: 5.531

5.  Parallel affinity-based isolation of leukocyte subsets using microfluidics: application for stroke diagnosis.

Authors:  Swathi R Pullagurla; Małgorzata A Witek; Joshua M Jackson; Maria A M Lindell; Mateusz L Hupert; Irina V Nesterova; Alison E Baird; Steven A Soper
Journal:  Anal Chem       Date:  2014-04-01       Impact factor: 6.986

6.  A method for quantitative analysis of standard and high-throughput qPCR expression data based on input sample quantity.

Authors:  Mateusz G Adamski; Patryk Gumann; Alison E Baird
Journal:  PLoS One       Date:  2014-08-04       Impact factor: 3.240

  6 in total

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