Evidence map›Paper›PMID 29467444›Full record

ArticleScientific reports2018

Evaluation of digital real-time PCR assay as a molecular diagnostic tool for single-cell analysis.

Chia-Hao Chang, Daxen Mau-Hsu, Ke-Cheng Chen, Cheng-Wey Wei, Chiung-Ying Chiu, Tai-Horng Young

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. 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
0.4field-weighted citation impact, top 40% 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, 6 citations in OpenAlex.

  1. Article
  2. Review
  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

6 authors at 1 institution in 1 country.

Chia-Hao ChangInstitute of Polymer Science and Engineering, National Taiwan University, Taipei, 106, Taiwan.
Daxen Mau-HsuInstitute of Biomedical Engineering, National Taiwan University, Taipei, 100, Taiwan.
Ke-Cheng ChenInstitute of Biomedical Engineering, National Taiwan University, Taipei, 100, Taiwan.
Cheng-Wey WeiQuark Biosciences, Inc., Hsinchu County, 302, Taiwan.
Chiung-Ying ChiuQuark Biosciences, Inc., Hsinchu County, 302, Taiwan.
Tai-Horng YoungInstitute of Polymer Science and Engineering, National Taiwan University, Taipei, 106, Taiwan. thyoung@ntu.edu.tw.
National Taiwan University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a single-cell study, isolating and identifying single cells are essential, but these processes often require a large investment of time or money. The aim of this study was to isolate and analyse single cells using a novel platform, the PanelChip™ Analysis System, which includes 2500 microwells chip and a digital real-time polymerase chain reaction (dqPCR) assay, in comparison with a standard PCR (qPCR) assay. Through the serial dilution of a known concentration standard, namely pUC19, the accuracy and sensitivity levels of two methodologies were compared. The two systems were tested on the basis of expression levels of the genetic markers vimentin, E-cadherin, N-cadherin and GAPDH in A549 lung carcinoma cells at two known concentrations. Furthermore, the influence of a known PCR inhibitor commonly found in blood samples, heparin, was evaluated in both methodologies. Finally, mathematical models were proposed and separation method of single cells was verified; moreover, gene expression levels during epithelial-mesenchymal transition in single cells under TGFβ1 treatment were measured. The drawn conclusion is that dqPCR performed using PanelChip™ is superior to the standard qPCR in terms of sensitivity, precision, and heparin tolerance. The dqPCR assay is a potential tool for clinical diagnosis and single-cell applications.

Indexed as

A549 CellsCadherinsEpithelial-Mesenchymal TransitionGene Expression ProfilingHumansLung NeoplasmsReal-Time Polymerase Chain ReactionSingle-Cell AnalysisVimentinCadherinsVimentin

Identifiers

PMID29467444
PMCPMC5821883
OpenAlexW2803418376

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.