Evidence map›Paper›PMID 26759004›Full record

ArticleBiomedical microdevices2016

A parallelized microfluidic DNA bisulfite conversion module for streamlined methylation analysis.

Alejandro Stark, Dong Jin Shin, Thomas Pisanic, Kuangwen Hsieh, Tza-Huei Wang

Abstract read
In one paragraph

Article in Biomedical microdevices, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Review
  7. Emerging Analytical Techniques for Rapid Pathogen Identification and Susceptibility Testing.Annual review of analytical chemistry (Palo Alto, Calif.) · 2019
    Review
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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

5 authors.

Alejandro StarkDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Dong Jin ShinDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Thomas PisanicJohns Hopkins Institute for NanoBioTechnology, Baltimore, MD, 21218, USA.
Kuangwen HsiehDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Tza-Huei WangDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA. thwang@jhu.edu.

Funding

ValidationU54CA151838 · NCI · JOHNS HOPKINS UNIVERSITY · PI POMPER, MARTIN G, SEARSON, PETER C · 2010 to 2014
$11.9M
Multiplexed Detection of Cell Free DNA Biomarkers for CancerR01CA155305 · NCI · JOHNS HOPKINS UNIVERSITY · PI WANG, TZA-HUEI JEFF · 2011 to 2015
$1.7M
Digital Detection of Tumor-Derived Circulating Methylated DNAR21CA186809 · NCI · JOHNS HOPKINS UNIVERSITY · PI WANG, TZA-HUEI JEFF · 2014 to 2016
$698k
NCI NIH HHS R01 CA155305NCI NIH HHS R01CA155305NCI NIH HHS R21 CA186809NCI NIH HHS R21CA186809NCI NIH HHS U54 CA151838NCI NIH HHS U54CA151838
6 · The paper itself

Abstract

Aberrant methylation of DNA has been identified as an epigenetic biomarker for numerous cancer types. The vast majority of techniques aimed at detecting methylation require bisulfite conversion of the DNA sample prior to analysis, which until now has been a benchtop process. Although microfluidics has potential benefits of simplified operation, sample and reagent economy, and scalability, bisulfite conversion has yet to be implemented in this format. Here, we present a novel droplet microfluidic design that facilitates rapid bisulfite conversion by reducing the necessary processing steps while retaining comparable performance to existing methods. This new format has a reduced overall processing time and is readily scalable for use in high throughput DNA methylation analysis.

Indexed as

DNA MethylationLab-On-A-Chip DevicesSequence Analysis, DNASulfiteshydrogen sulfiteSulfitesBisulfite conversionEpigeneticsLab-on-chipMagnetofluidicsMethylationMSP

Identifiers

PMID26759004
PMCPMC6586411

What OpenQuestion holds

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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.