Evidence map›Paper›PMID 30623957›Full record

ArticleLab on a chip2019

Multilayer microfluidic array for highly efficient sample loading and digital melt analysis of DNA methylation.

Christine M O'Keefe, Daniel Giammanco, Sixuan Li, Thomas R Pisanic, Tza-Huei Jeff Wang

Abstract read
In one paragraph

Article in Lab on a chip, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 25 citations in OpenAlex.

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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 at 1 institution in 1 country.

Christine M O'KeefeDepartment of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD 21218, USA.
Daniel Giammanco
Sixuan Li
Thomas R Pisanic
Tza-Huei Jeff Wang
Johns Hopkins University · US

Funding

A "Culture" Shift: Integrated Bacterial Screening and Antibacterial Susceptibility Test on Microfluidic Digital Array for Bloodstream InfectionsR01AI137272 · NIAID · JOHNS HOPKINS UNIVERSITY · PI WANG, TZA-HUEI JEFF, YANG, SAMUEL · 2018 to 2022
$3.6M
Ultrasensitive Detection of Tumor Specific DNA Methylation Changes for the Early Detection of Lung Cancer U01CA214165 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HERMAN, JAMES G., WANG, TZA-HUEI JEFF · 2016 to 2021
$3.1M
Facile screening for esophageal cancer in LMICsUG3CA211457 · NCI · JOHNS HOPKINS UNIVERSITY · PI MELTZER, STEPHEN J, WANG, TZA-HUEI JEFF · 2017 to 2018
$861k
NCI NIH HHS U01 CA214165NCI NIH HHS UG3 CA211457NIAID NIH HHS R01 AI137272
6 · The paper itself

Abstract

Liquid biopsies contain a treasure of genetic and epigenetic biomarkers that contain information for the detection and monitoring of human disease. DNA methylation is an epigenetic modification that is critical to determining cellular phenotype and often becomes altered in many disease states. In cancer, aberrant DNA methylation contributes to carcinogenesis and can profoundly affect tumor evolution, metastatic potential, and resistance to therapeutic intervention. However, current technologies are not well-suited for quantitative assessment of DNA methylation heterogeneity, especially in challenging samples such as liquid biopsies with low DNA input and high background. We present a multilayer microfluidic device for quantitative analysis of DNA methylation by digital PCR and high resolution melt (HRM). The multilayer design facilitates high-density array digitization aimed at maximizing sample loading efficiency. The platform achieves highly parallelized digital PCR-HRM-based discrimination of rare heterogeneous DNA methylation as low as 0.0001% methylated/unmethylated molecules of a classic tumor suppressor gene, CDKN2A (p14ARF).

Indexed as

DNA MethylationLab-On-A-Chip DevicesAllelesBiopsyEpigenesis, GeneticGenes, p16HumansNucleic Acid DenaturationPolymerase Chain Reaction

Identifiers

PMID30623957
PMCPMC6363116
OpenAlexW2910127152

What OpenQuestion holds

Textmetadata
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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.