Evidence map›Paper›PMID 38442486›Full record

ArticleACS sensors2024

Novel Anti-CRISPR-Assisted CRISPR Biosensor for Exclusive Detection of Single-Stranded DNA (ssDNA).

Qiaoqiao Ci, Yawen He, Juhong Chen

Open access · hybridAbstract read
In one paragraph

Article in ACS sensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
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

5 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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 at 2 institutions in 1 country.

Qiaoqiao CiDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
Yawen HeDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID 0009-0001-4898-5465
Juhong ChenDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID 0000-0002-6484-2739
Virginia Tech · USUniversity of California, Riverside · US

Funding

Novel Approaches to detect and treat sepsisR35GM147069 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI Juhong Chen · 2022 to 2026
$2.0M
NIGMS NIH HHS R35 GM147069
6 · The paper itself

Abstract

Nucleic acid analysis plays an important role in disease diagnosis and treatment. The discovery of CRISPR technology has provided novel and versatile approaches to the detection of nucleic acids. However, the most widely used CRISPR-Cas12a detection platforms lack the capability to distinguish single-stranded DNA (ssDNA) from double-stranded DNA (dsDNA). To overcome this limitation, we first employed an anti-CRISPR protein (AcrVA1) to develop a novel CRISPR biosensor to detect ssDNA exclusively. In this sensing strategy, AcrVA1 cut CRISPR guide RNA (crRNA) to inhibit the cleavage activity of the CRISPR-Cas12a system. Only ssDNA has the ability to recruit the cleaved crRNA fragment to recover the detection ability of the CRISPR-Cas12 biosensor, but dsDNA cannot accomplish this. By measuring the recovered cleavage activity of the CRISPR-Cas12a biosensor, our developed AcrVA1-assisted CRISPR biosensor is capable of distinguishing ssDNA from dsDNA, providing a simple and reliable method for the detection of ssDNA. Furthermore, we demonstrated our developed AcrVA1-assisted CRISPR biosensor to monitor the enzymatic activity of helicase and screen its inhibitors.

Indexed as

Biosensing TechniquesRNA, Guide, CRISPR-Cas SystemsCRISPR-Cas SystemsDNADNA, Single-StrandedDNADNA, Single-StrandedRNA, Guide, CRISPR-Cas SystemsAcrVA1anti-CRISPR proteinsCas12a (cpf1) nucleaseCRISPR-based biosensorsingle-stranded DNA (ssDNA)

Identifiers

PMID38442486
PMCPMC10964243
OpenAlexW4392445472

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.