Evidence map›Paper›PMID 34252272›Full record

ArticleAnalytical chemistry2021

Accurate Bulk Quantitation of Droplet Digital Polymerase Chain Reaction.

Chen Sun, Leqian Liu, Harish N Vasudevan, Kai-Chun Chang, Adam R Abate

Abstract read
In one paragraph

Article in Analytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Droplet Digital CRISPR for Nucleic Acid Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Lab on a Particle Technologies.Analytical chemistry · 2024
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Chen SunDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California 94158, United States.ORCID 0000-0003-1216-5091
Leqian LiuDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California 94158, United States.
Harish N VasudevanDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California 94158, United States.
Kai-Chun ChangDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California 94158, United States.ORCID 0000-0001-7200-3532
Adam R AbateDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California 94158, United States.ORCID 0000-0001-9614-4831

Funding

Gigapixel digital PCR in Giant Unilamellar VesiclesR01EB019453 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ABATE, ADAM R., CHIU, CHARLES YEN · 2014 to 2022
$3.9M
Accurate and unbiased single cell sequencing with digital droplet MDAR01HG008978 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ABATE, ADAM R. · 2016 to 2018
$1.9M
NHGRI NIH HHS R01 HG008978NIBIB NIH HHS R01 EB019453
6 · The paper itself

Abstract

Droplet digital PCR provides superior accuracy for nucleic acid quantitation. The requirement of microfluidics to generate and analyze the emulsions, however, is a barrier to its adoption, particularly in low resource settings or clinical laboratories. Here, we report a novel method to prepare ddPCR droplets by vortexing and readout of the results by bulk analysis of recovered amplicons. We demonstrate the approach by accurately quantitating SARS-CoV-2 sequences using entirely bulk processing and no microfluidics. Our approach for quantitating reactions should extend to all digital assays that generate amplicons, including digital PCR and LAMP conducted in droplets, microchambers, or nanoliter wells. More broadly, our approach combines important attributes of ddPCR, including enhanced accuracy and robustness to inhibition, with the high-volume sample processing ability of quantitative PCR.

Identifiers

PMID34252272
PMCPMC8829825

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.