Evidence map›Paper›PMID 32478351›Full record

ArticleThe Analyst2020

Applying biosensor development concepts to improve preamplification-free CRISPR/Cas12a-Dx.

Kuangwen Hsieh, Guojie Zhao, Tza-Huei Wang

Abstract read
In one paragraph

Article in The Analyst, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Review
  6. Article
  7. Review
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  9. Article
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  11. Article
  12. Review
  13. Article
  14. Digital CRISPR/Cas-Assisted Assay for Rapid and Sensitive Detection of SARS-CoV-2.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    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

3 authors.

Kuangwen HsiehDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland, USA. thwang@jhu.edu.ORCID http://orcid.org/0000-0003-3730-4406
Guojie ZhaoDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland, USA. thwang@jhu.edu.ORCID http://orcid.org/0000-0003-0691-4332
Tza-Huei WangDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland, USA. thwang@jhu.edu and Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, Maryland, U.S.A.ORCID http://orcid.org/0000-0002-3540-9354

Funding

A Droplet-based single cell platform for pathogen identification and ASTR01AI117032 · NIAID · JOHNS HOPKINS UNIVERSITY · PI LIAO, JOSEPH C, WANG, TZA-HUEI JEFF · 2015 to 2019
$5.7M
Technology development for point-of-care detection and antimicrobial susceptibility testing of Neisseria gonorrhoeaeR01AI138978 · NIAID · JOHNS HOPKINS UNIVERSITY · PI WANG, TZA-HUEI JEFF · 2018 to 2021
$5.1M
A "Culture" Shift: Integrated Bacterial Screening and Antibacterial Susceptibility Test on Microfluidic Digital Array for Bloodstream InfectionsR01AI137272 · NIAID · JOHNS HOPKINS UNIVERSITY · PI WANG, TZA-HUEI JEFF, YANG, SAMUEL · 2018 to 2022
$3.6M
Ultrasensitive Detection of Tumor Specific DNA Methylation Changes for the Early Detection of Lung Cancer U01CA214165 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HERMAN, JAMES G., WANG, TZA-HUEI JEFF · 2016 to 2021
$3.1M
Facile screening for esophageal cancer in LMICsUG3CA211457 · NCI · JOHNS HOPKINS UNIVERSITY · PI MELTZER, STEPHEN J, WANG, TZA-HUEI JEFF · 2017 to 2018
$861k
Acquisition of GE Typhoon FLA9500 Variable Mode ImagerS10OD021567 · OD · JOHNS HOPKINS UNIVERSITY · PI MCCAFFERY, J. MICHAEL · 2017 to 2017
$147k
NCI NIH HHS U01 CA214165NCI NIH HHS UG3 CA211457NIAID NIH HHS R01 AI117032NIAID NIH HHS R01 AI137272NIAID NIH HHS R01 AI138978NIH HHS S10 OD021567
6 · The paper itself

Abstract

Development of CRISPR/Cas-based in vitro diagnostic devices, or CRISPR/Cas-Dx, has become an intensely researched area. Among the different classes of CRISPR/Cas-Dx, the class based on the Cas12a enzyme (i.e., CRISPR/Cas12a-Dx or simply Cas12a-Dx), is predominantly employed for detecting DNA targets. Current research in Cas12a-Dx has focused on appending Cas12a-Dx to preamplification techniques or coupling Cas12a-Dx to different detection modalities, which has inevitably overshadowed the detection performance of Cas12a-Dx and overlooked its intrinsic detection capability without preamplification. We recognize that Cas12a-Dx, which relies on DNA-activated Cas12a to cleave single-stranded DNA, shares significant similarity with other nuclease-based DNA biosensors, whose performances can be influenced by parameters ranging from the reaction buffer to the reaction temperature. We are thus inspired to probe the limits of preamplification-free Cas12a-Dx by exploring and systematically evaluating several potential parameters that may impact its detection sensitivity and time. Using a previously reported fluorescence-based Cas12a-Dx as the test bed, we have identified that the Cas12a enzyme, the reaction buffer, the substrate label, the substrate concentration, and the reaction temperature can be optimized to significantly improve the signal-to-background ratio and the reaction rate of Cas12a-Dx. Based on these findings, we have improved the limit of detection (LOD) of the Cas12a-Dx to 100 fM, while reduced the time-to-positive to <46 min, representing the most sensitive LOD without preamplification and the fastest time-to-positive for this LOD to date. More broadly, our work provides a roadmap for further advancing Cas12a-Dx and perhaps other classes of CRISPR/Cas-Dx.

Indexed as

Biosensing TechniquesClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsDNA, Single-StrandedLimit of DetectionDNA, Single-Stranded

Identifiers

PMID32478351
PMCPMC7362986

What OpenQuestion holds

Textmetadata
LicenceTDM
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.