Evidence map›Paper›PMID 32883277›Full record

ReviewMicrobial cell factories2020

Application of different types of CRISPR/Cas-based systems in bacteria.

Zhenquan Liu, Huina Dong, Yali Cui, Lina Cong, Dawei Zhang

Abstract readReview
In one paragraph

Review in Microbial cell factories, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing 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

83 citing papers in PubMed.

  1. Article
  2. Review
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  5. Enhanced editing ofApplied and environmental microbiology · 2026
    Article
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  19. Article
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23 more citing papers are in PubMed but not listed here.

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

5 authors.

Zhenquan LiuSchool of Biological Engineering, Dalian Polytechnic University, Dalian, 116034, People's Republic of China.
Huina DongTianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, China.
Yali CuiTianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, China.
Lina CongSchool of Biological Engineering, Dalian Polytechnic University, Dalian, 116034, People's Republic of China. linacong@163.com.
Dawei ZhangTianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, China. zhang_dw@tib.cas.cn.ORCID http://orcid.org/0000-0001-5555-6151

Funding

National Natural Science Foundation of China NSFC 31800086
6 · The paper itself

Abstract

As important genome editing tools, CRISPR/Cas systems, especially those based on type II Cas9 and type V Cas12a, are widely used in genetic and metabolic engineering of bacteria. However, the intrinsic toxicity of Cas9 and Cas12a-mediated CRISPR/Cas tools can lead to cell death in some strains, which led to the development of endogenous type I and III CRISPR/Cas systems. However, these systems are hindered by complicated development and limited applications. Thus, further development and optimization of CRISPR/Cas systems is needed. Here, we briefly summarize the mechanisms of different types of CRISPR/Cas systems as genetic manipulation tools and compare their features to provide a reference for selecting different CRISPR/Cas tools. Then, we show the use of CRISPR/Cas technology for bacterial strain evolution and metabolic engineering, including genome editing, gene expression regulation and the base editor tool. Finally, we offer a view of future directions for bacterial CRISPR/Cas technology.

Indexed as

CRISPR-Cas SystemsMetabolic EngineeringBacteriaGene EditingGene Expression Regulation, BacterialGenetic EngineeringBacteriaCRISPR/Cas systemGenome editing

Identifiers

PMID32883277
PMCPMC7470686

What OpenQuestion holds

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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.