Evidence map›Paper›PMID 30263958›Full record

ArticleScience advances2018

Facile profiling of molecular heterogeneity by microfluidic digital melt.

Christine M O'Keefe, Thomas R Pisanic, Helena Zec, Michael J Overman, James G Herman, Tza-Huei Wang

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

28 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
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  5. Review
  6. Article
  7. Multiplex Digital Methylation-Specific PCR for Noninvasive Screening of Lung Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Review
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  14. Digital CRISPR/Cas-Assisted Assay for Rapid and Sensitive Detection of SARS-CoV-2.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Detection of Promoter DNA Methylation in Urine and Plasma Aids the Detection of Non-Small Cell Lung Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2020
    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

6 authors at 3 institutions in 1 country.

Christine M O'KeefeDepartment of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD 21218, USA.ORCID 0000-0002-7166-6972
Thomas R PisanicJohns Hopkins Institute for NanoBioTechnology, Baltimore, MD 21218, USA.ORCID 0000-0001-5796-0836
Helena ZecDepartment of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD 21218, USA.ORCID 0000-0002-0482-7406
Michael J OvermanDepartment of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0001-5377-135X
James G HermanDivision of Hematology/Oncology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA 15232, USA.
Tza-Huei WangDepartment of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD 21218, USA.ORCID 0000-0002-3540-9354
Johns Hopkins University · USThe University of Texas MD Anderson Cancer Center · USUniversity of Pittsburgh · 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
Digital Detection of Tumor-Derived Circulating Methylated DNAR21CA186809 · NCI · JOHNS HOPKINS UNIVERSITY · PI WANG, TZA-HUEI JEFF · 2014 to 2016
$698k
NCI NIH HHS R21 CA186809NIAID NIH HHS R01 AI137272
6 · The paper itself

Abstract

This work presents a digital microfluidic platform called HYPER-Melt (high-density profiling and enumeration by melt) for highly parallelized copy-by-copy DNA molecular profiling. HYPER-Melt provides a facile means of detecting and assessing sequence variations of thousands of individual DNA molecules through digitization in a nanowell microchip array, allowing amplification and interrogation of individual template molecules by detecting HRM fluorescence changes due to sequence-dependent denaturation. As a model application, HYPER-Melt is used here for the detection and assessment of intermolecular heterogeneity of DNA methylation within the promoters of classical tumor suppressor genes. The capabilities of this platform are validated through serial dilutions of mixed epialleles, with demonstrated detection limits as low as 1 methylated variant in 2 million unmethylated templates (0.00005%) of a classic tumor suppressor gene,

Indexed as

DNA MethylationColorectal NeoplasmsEquipment DesignGenetic TechniquesHumansLab-On-A-Chip DevicesLiquid BiopsyMaleMicrofluidicsMuscle ProteinsNerve Tissue ProteinsPolymerase Chain ReactionPromoter Regions, GeneticWorkflowMuscle ProteinsNDRG4 protein, humanNerve Tissue Proteins

Identifiers

PMID30263958
PMCPMC6157960
OpenAlexW2892541293

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.