Evidence map›Paper›PMID 25437051›Full record

ArticleEpigenetics2014

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

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Epigenetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. A Droplet Digital PCR Assay for Smoking Predicts All-Cause Mortality.Journal of insurance medicine (New York, N.Y.) · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

John K Wienckea Department of Neurological Surgery ; University of California, San Francisco ; San Francisco , CA USA.
Paige M Bracci
George Hsuang
Shichun Zheng
Helen Hansen
Margaret R Wrensch
Terri Rice
Melissa Eliot
Karl T Kelsey
University of California, San Francisco · USBrown University · USProvidence College · US

Funding

UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
Tissue CoreP50CA097257 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Joseph F Costello · 2002 to 2026
$57.4M
GENETIC EPIDEMIOLOGY OF MALIGNANT GLIOMAR01CA052689 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WIENCKE, JOHN K., WRENSCH, MARGARET R. · 1991 to 2015
$20.5M
International Case Control Study of Malignant GliomaR01CA139020 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BONDY, MELISSA L. · 2010 to 2015
$16.0M
Biomarkers of survival in glioma epidemiologyR01CA126831 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WIENCKE, JOHN K. · 2008 to 2013
$2.5M
NCI NIH HHS P50 CA097257NCI NIH HHS R01 CA052689NCI NIH HHS R01CA126831NCI NIH HHS R01CA139020NCI NIH HHS R01CA52689NCI NIH HHS R50CA097257NCRR NIH HHS UL1 RR024131
6 · The paper itself

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.

Indexed as

DNA MethylationCase-Control StudiesCD3 ComplexFlow CytometryGliomaHumansPolymerase Chain ReactionReal-Time Polymerase Chain ReactionT-LymphocytesCD3 ComplexCV, correlation coefficientddPCR, droplet digital polymerase chain reactiondigital PCRDMR, differentially methylated regionsDNA methylationFACSFACS fluorescence activated cell sortingMS, methylation specificqPCR, quantitative polymerase chain reactionreal time PCRT cells

Identifiers

PMID25437051
PMCPMC4622657
OpenAlexW1979608453

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.