Evidence map›Paper›PMID 36744100›Full record

ArticleTrends in analytical chemistry : TRAC2023

Digital CRISPR Systems for the Next Generation of Nucleic Acid Quantification.

Anthony J Politza, Reza Nouri, Weihua Guan

Abstract read
In one paragraph

Article in Trends in analytical chemistry : TRAC, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  7. Article
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  11. CRISPR/Cas-Based Techniques for Live-Cell Imaging and Bioanalysis.International journal of molecular sciences · 2023
    Review
  12. 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.

Anthony J PolitzaDepartment of Biomedical Engineering, Pennsylvania State University, University Park 16802, USA.
Reza NouriDepartment of Electrical Engineering, Pennsylvania State University, University Park 16802, USA.
Weihua GuanDepartment of Biomedical Engineering, Pennsylvania State University, University Park 16802, USA.

Funding

Home Fingerprick Blood-Based HIV Self-Test For Quantitative Monitoring Of Viral ReboundR61AI147419 · NIAID · PENNSYLVANIA STATE UNIVERSITY, THE · PI GUAN, WEIHUA · 2020 to 2022
$1.0M
NIAID NIH HHS R61 AI147419
6 · The paper itself

Abstract

Digital CRISPR (dCRISPR) assays are an emerging platform of molecular diagnostics. Digital platforms introduce absolute quantification and increased sensitivity to bulk CRISPR assays. With ultra-specific targeting, isothermal operation, and rapid detection, dCRISPR systems are well-prepared to lead the field of molecular diagnostics. Here we summarized the common Cas proteins used in CRISPR detection assays. The methods of digital detection and critical performance factors are examined. We formed three strategies to frame the landscape of dCRISPR systems: (1) amplification free, (2) in-partition amplification, and (3) two-stage amplification. We also compared the performance of all systems through the limit of detection (LOD), testing time, and figure of merit (FOM). This work summarizes the details of digital CRISPR platforms to guide future development. We envision that improvements to LOD and dynamic range will position dCRISPR as the leading platform for the next generation of molecular biosensing.

Indexed as

absolute quantificationCas12Cas13CRISPR-DxDigital CRISPRdigital partitioningDNA Sensingnucleic acid testing (NAT)

Identifiers

PMID36744100
PMCPMC9894100

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.