Evidence map›Paper›PMID 41021067›Full record

ArticleBiotechnology letters2025

Lethal endotoxin (ccdB) based counterselection improved the efficiency of sequential gene editing in Escherichia coli.

Shiyao Zou, Weiqi Chen, Ying Cao, Xiaolan Liu, Jinhua Wang, Yongze Wang, Shengde Zhou

Abstract read
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In one paragraph

Article in Biotechnology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Shiyao Zou *Hubei Collaborative Innovation Center for Industrial Fermentation, School of Life and Health Sciences, Hubei University of Technology, Wuhan, 430068, People's Republic of China.
Weiqi ChenHubei Collaborative Innovation Center for Industrial Fermentation, School of Life and Health Sciences, Hubei University of Technology, Wuhan, 430068, People's Republic of China.
Ying Cao *Hubei Collaborative Innovation Center for Industrial Fermentation, School of Life and Health Sciences, Hubei University of Technology, Wuhan, 430068, People's Republic of China.
Xiaolan LiuHubei Collaborative Innovation Center for Industrial Fermentation, School of Life and Health Sciences, Hubei University of Technology, Wuhan, 430068, People's Republic of China.
Jinhua WangHubei Collaborative Innovation Center for Industrial Fermentation, School of Life and Health Sciences, Hubei University of Technology, Wuhan, 430068, People's Republic of China.
Yongze WangHubei Collaborative Innovation Center for Industrial Fermentation, School of Life and Health Sciences, Hubei University of Technology, Wuhan, 430068, People's Republic of China. wangyongze@mail.hbut.edu.cn.ORCID http://orcid.org/0009-0003-8264-6146
Shengde ZhouDepartment of Biological Sciences, Northern Illinois University, DeKalb, IL, 60115, USA. szhou@niu.edu.

Funding

Hubei University of Technology High-Level Talent Research Startup Fund Program 4301/00960Science and Technology Major Project of Guangxi AA24206050Science and Technology Major Project of Guangxi Guike AA24206048
6 · The paper itself

Abstract

The CRISPR/Cas9-based technology has been used for sequential gene editing in E. coli. The plasmids carrying the sgRNA and/or Cas9 genes need to be cured after each round of editing. Curing of these plasmids, particularly the sgRNA plasmid, limits the efficiency of sequential gene editing. In this study, a lethal endotoxin (ccdB) based counterselection was established for improving the overall efficiency of sequential gene editing in E. coli. This approach was validated for sequential editing (deletion) of cstA and ppsA genes in HBUT-P2 strain (W derivative). The experimental results showed that the transformation efficiency of sgRNA plasmid (pTargetF-tcr-P

Indexed as

EndotoxinsEscherichia coliEscherichia coli ProteinsGene EditingCRISPR-Cas SystemsPlasmidsEndotoxinsEscherichia coli ProteinsCcdBCounterselectionCRISPR/Cas9E. coliSequential gene editing

Identifiers

PMID41021067

What OpenQuestion holds

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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.