Evidence map›Paper›PMID 37485651›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Melt-Encoded-Tags for Expanded Optical Readout in Digital PCR (METEOR-dPCR) Enables Highly Multiplexed Quantitative Gene Panel Profiling.

Dong Dong Liu, Daniel Muliaditan, Ramya Viswanathan, Xu Cui, Lih Feng Cheow

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 2 institutions in 1 country.

Dong Dong LiuInstitute for Health Innovation and Technology, National University of Singapore, Singapore, 117599, Singapore.ORCID 0000-0002-6172-0832
Daniel MuliaditanDepartment of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore, 117583, Singapore.
Ramya ViswanathanInstitute for Health Innovation and Technology, National University of Singapore, Singapore, 117599, Singapore.
Xu CuiDepartment of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore, 117583, Singapore.
Lih Feng CheowInstitute for Health Innovation and Technology, National University of Singapore, Singapore, 117599, Singapore.ORCID 0000-0003-1766-0024
National University of Singapore · SGAgency for Science, Technology and Research · SG

Funding

Ministry of Education MOE-000063National Medical Research Council Singapore Individual Research Grant MOH-00219
6 · The paper itself

Abstract

Digital PCR (dPCR) is an important tool for precise nucleic acid quantification in clinical setting, but the limited multiplexing capability restricts its applications for quantitative gene panel profiling. Here, this work describes melt-encoded-tags for expanded optical readout in digital PCR (METEOR-dPCR), a simple two-step assay that enables simultaneous quantification of a large panel of arbitrary genes in a dPCR platform. Target genes are quantitatively converted into DNA tags with unique melting temperatures through a ligation approach. These tags are then counted and distinguished by their melt-curve profiles on a dPCR platform. A multiplexing capacity of M^N, where M is the number of resolvable melting temperature and N is the number of fluorescence channel, can be achieved. This work validates METEOR-dPCR with simultaneous DNA copy number profiling of 60 targets using dPCR in cancer cells, and demonstrates its sensitivity for estimating tumor fraction in mixed tumor and normal DNA samples. The rapid, quantitative, and highly multiplexed METEOR-dPCR assay will have wide appeal for many clinical applications.

Indexed as

DNAPolymerase Chain ReactionDNAcopy number analysisdigital PCRmelt-curve analysismultiplexing

Identifiers

PMID37485651
PMCPMC10520687
OpenAlexW4385160424

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.