Evidence map›Paper›PMID 37704210›Full record

ArticleGenomics & informatics2023

Comparison of digital PCR platforms using the molecular marker.

Cherl-Joon Lee, Wonseok Shin, Minsik Song, Seung-Shick Shin, Yujun Park, Kornsorn Srikulnath, Dong Hee Kim, Kyudong Han

Abstract read
In one paragraph

Article in Genomics & informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
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

8 authors.

Cherl-Joon LeeDepartment of Bio-Convergence Engineering, Dankook University, Jukjeon 16890, Korea.
Wonseok ShinNGS Clinical Laboratory, Dankook University Hospital, Cheonan 31116, Korea.
Minsik SongOPTOLANE Inc., Bundang-gu, Seongnam 13494, Korea.
Seung-Shick ShinOPTOLANE Inc., Bundang-gu, Seongnam 13494, Korea.
Yujun ParkDepartment of Microbiology, College of Science & Technology, Dankook University, Cheonan 31116, Korea.
Kornsorn SrikulnathAnimal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok 10900, Thailand.
Dong Hee KimDepartment of Anesthesiology and Pain Management, Dankook University College of Medicine, Cheonan 31116, Korea.
Kyudong HanDepartment of Bio-Convergence Engineering, Dankook University, Jukjeon 16890, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assays of clinical diagnosis and species identification using molecular markers are performed according to a quantitative method in consideration of sensitivity, cost, speed, convenience, and specificity. However, typical polymerase chain reaction (PCR) assay is difficult to quantify and have various limitations. In addition, to perform quantitative analysis with the quantitative real-time PCR (qRT-PCR) equipment, a standard curve or normalization using reference genes is essential. Within the last a decade, previous studies have reported that the digital PCR (dPCR) assay, a third-generation PCR, can be applied in various fields by overcoming the shortcomings of typical PCR and qRT-PCR assays. We selected Stilla Naica System (Stilla Technologies), Droplet Digital PCR Technology (Bio-Rad), and Lab on an Array Digital Real-Time PCR analyzer system (OPTOLANE) for comparative analysis among the various droplet digital PCR platforms currently in use commercially. Our previous study discovered a molecular marker that can distinguish Hanwoo species (Korean native cattle) using Hanwoo-specific genomic structural variation. Here, we report the pros and cons of the operation of each dPCR platform from various perspectives using this species identification marker. In conclusion, we hope that this study will help researchers to select suitable dPCR platforms according to their purpose and resources.

Indexed as

digital PCR platformsmolecular markerpoint-of-care testing

Identifiers

PMID37704210
PMCPMC10326530

What OpenQuestion holds

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LicenceCC BY
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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.