Literature DB >> 25437051

A comparison of DNA methylation specific droplet digital PCR (ddPCR) and real time qPCR with flow cytometry in characterizing human T cells in peripheral blood.

John K Wiencke1, Paige M Bracci, George Hsuang, Shichun Zheng, Helen Hansen, Margaret R Wrensch, Terri Rice, Melissa Eliot, Karl T Kelsey.   

Abstract

Quantitating the copy number of demethylated CpG promoter sites of the CD3Z gene can be used to estimate the numbers and proportions of T cells in human blood and tissue. Quantitative methylation specific PCR (qPCR) is useful for studying T cells but requires extensive calibration and is imprecise at low copy numbers. Here we compared the performance of a new digital PCR platform (droplet digital PCR or ddPCR) to qPCR using bisulfite converted DNA from 157 blood specimens obtained from ambulatory care controls and patients with primary glioma. We compared both ddPCR and qPCR with conventional flow cytometry (FACS) evaluation of CD3 positive T cells. Repeated measures on the same blood sample revealed ddPCR to be less variable than qPCR. Both qPCR and ddPCR correlated significantly with FACS evaluation of peripheral blood CD3 counts and CD3/total leukocyte values. However, statistical measures of agreement showed that linear concordance was stronger for ddPCR than for qPCR and the absolute values were closer to FACS for ddPCR. Both qPCR and ddPCR could distinguish clinically significant differences in T cell proportions and performed similarly to FACS. Given the higher precision, greater accuracy, and technical simplicity of ddPCR, this approach appears to be a superior DNA methylation based method than conventional qPCR for the assessment of T cells.

Entities:  

Keywords:  CV, correlation coefficient; DMR, differentially methylated regions; DNA methylation; FACS; FACS fluorescence activated cell sorting; MS, methylation specific; T cells; ddPCR, droplet digital polymerase chain reaction; digital PCR; qPCR, quantitative polymerase chain reaction; real time PCR

Mesh:

Substances:

Year:  2014        PMID: 25437051      PMCID: PMC4622657          DOI: 10.4161/15592294.2014.967589

Source DB:  PubMed          Journal:  Epigenetics        ISSN: 1559-2294            Impact factor:   4.528


  38 in total

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