Evidence map›Paper›PMID 37710081›Full record

ArticleAnalytical sciences : the international journal of the Japan Society for Analytical Chemistry2023

Digital PCR using a simple PDMS microfluidic chip and standard laboratory equipment.

Kazuo Hosokawa, Hitoshi Ohmori

Abstract read
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In one paragraph

Article in Analytical sciences : the international journal of the Japan Society for Analytical Chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Kazuo HosokawaMaterials Fabrication Laboratory, RIKEN Cluster for Pioneering Research, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan. k-hoso@riken.jp.ORCID http://orcid.org/0000-0003-1249-2834
Hitoshi OhmoriMaterials Fabrication Laboratory, RIKEN Cluster for Pioneering Research, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan.

Funding

Japan Society for the Promotion of Science 18K04917
6 · The paper itself

Abstract

Digital PCR (dPCR) enables sensitive and precise quantification of template nucleic acid without calibration. However, dPCR is not yet in widespread use, probably due to the need for expensive specialized instruments. In this paper, we describe a dPCR system using a simple microfluidic chip and common laboratory tools. The microfluidic chip consists of two parts: a PDMS part with 24,840 × 0.25 nL microwells and a PDMS-coated flat glass plate. Human RNase P gene was adopted as the model template. Commercial products of human genomic DNA and real-time PCR reagents were mixed to make a PCR mixture. The PCR mixture was confined to the microwells by the PDMS degas-driven liquid control technique. The thermal cycling was performed on a common well-type thermal cycler with a minor modification. During the thermal cycling, evaporation of the PCR mixture was prevented with a handmade water holder. In the fluorescence image, bright (positive) microwells and dim (negative) ones were clearly discriminated. The number of the positive microwells was counted using software, and was used for estimation of the template concentration in the sample based on the theory of the Poisson distribution. The estimated concentrations well agreed with the input template concentrations in the range from 1.32 copies/µL to 13 200 copies/µL. The techniques presented in this paper will pave the way for facile dPCR in a broad range of laboratories without the need for expensive instruments.

Indexed as

Microfluidic Analytical TechniquesMicrofluidicsDNAHumansLab-On-A-Chip DevicesNucleic Acid Amplification TechniquesReal-Time Polymerase Chain ReactionDNADegas-drivenDigital PCRMicrofluidic chipMicrowellPDMSPower-free

Identifiers

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Registered trials

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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.