Evidence map›Paper›PMID 36305006›Full record

ReviewaBIOTECH2020

The working dead: repurposing inactive CRISPR-associated nucleases as programmable transcriptional regulators in plants.

Zhenxiang Li, Xiangyu Xiong, Jian-Feng Li

Open access · bronzeAbstract readReview
In one paragraph

Review in aBIOTECH, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

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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 1 institution in 1 country.

Zhenxiang LiGuangdong Provincial Key Laboratory of Plant Resources, State Key Laboratory of Biocontrol, MOE Key Laboratory of Gene Function and Regulation, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275 China.
Xiangyu XiongGuangdong Provincial Key Laboratory of Plant Resources, State Key Laboratory of Biocontrol, MOE Key Laboratory of Gene Function and Regulation, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275 China.
Jian-Feng LiGuangdong Provincial Key Laboratory of Plant Resources, State Key Laboratory of Biocontrol, MOE Key Laboratory of Gene Function and Regulation, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275 China.ORCID 0000-0001-5783-0804
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted gene manipulation is highly desirable for fundamental plant research, plant synthetic biology, and molecular breeding. The clustered regularly interspaced short palindromic repeats-associated (Cas) nuclease is a revolutionary tool for genome editing, and has received snowballing popularity for gene knockout applications in diverse organisms including plants. Recently, the nuclease-dead Cas (dCas) proteins have been repurposed as programmable transcriptional regulators through translational fusion with portable transcriptional repression or activation domains, which has paved new ways for flexible and multiplex control over the activities of target genes of interest without the need to generate DNA lesions. Here, we review the most important breakthroughs of dCas transcriptional regulators in non-plant organisms and recent accomplishments of this growing field in plants. We also provide perspectives on future development directions of dCas transcriptional regulators in plant research in hope to stimulate their quick evolution and broad applications.

Indexed as

Nuclease-Dead Cas9 (dCas9)sgRNATarget promoterTranscriptional activatorTranscriptional repressor

Identifiers

PMID36305006
PMCPMC9590457
OpenAlexW2968966224

What OpenQuestion holds

Textmetadata
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.