Evidence map›Paper›PMID 37955062›Full record

SynthesisBiochemical Society transactions2023

Engineering CRISPR guide RNAs for programmable RNA sensors.

Yang Liu, Wei Liu, Baojun Wang

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Biochemical Society transactions, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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 2 countries.

Yang LiuMRC Laboratory of Molecular Biology (LMB), Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge CB2 0QH, U.K.ORCID 0000-0002-4204-3274
Wei LiuMRC Laboratory of Molecular Biology (LMB), Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge CB2 0QH, U.K.
Baojun WangCollege of Chemical and Biological Engineering & Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0002-4858-8937
MRC Laboratory of Molecular Biology · GBZhejiang University of Science and Technology · CN

Funding

Medical Research Council MC_U105178804
6 · The paper itself

Abstract

As the most valuable feature of the CRISPR system, the programmability based on Watson-Crick base pairing has been widely exploited in engineering RNA sensors. The base pairing in these systems offers a connection between the RNA of interest and the CRISPR effector, providing a highly specific mechanism for RNA detection both in vivo and in vitro. In the last decade, despite the many successful RNA sensing approaches developed during the era of CRISPR explosion, a deeper understanding of the characteristics of CRISPR systems and the continuous expansion of the CRISPR family members indicates that the CRISPR-based RNA sensor remains a promising area from which a variety of new functions and applications can be engineered. Here, we present a systematic overview of the various strategies of engineering CRISPR gRNA for programmable RNA detection with an aim to clarify the role of gRNA's programmability among the present limitations and future development of CRISPR-enabled RNA sensors.

Indexed as

CRISPR-Cas SystemsRNABase PairingRNA, Guide, CRISPR-Cas SystemsRNARNA, Guide, CRISPR-Cas SystemsCRISPRgRNAprogrammabilityRNA sensor

Identifiers

PMID37955062
PMCPMC10754282
OpenAlexW4388637649

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.