Evidence map›Paper›PMID 39883341›Full record

ArticleAdvanced biotechnology2024

Increasing the robustness of Escherichia coli for aromatic chemicals production through transcription factor engineering.

Xiao-Ling Zhou, Meng-Sang Zhang, Xing-Run Zheng, Zhi-Qian Zhang, Jian-Zhong Liu

Abstract read
In one paragraph

Article in Advanced biotechnology, 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
–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

5 citing papers in PubMed.

  1. Article
  2. Engineering non-P450 3-hydroxylase forSynthetic and systems biotechnology · 2025
    Article
  3. Article
  4. Article
  5. 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

5 authors.

Xiao-Ling ZhouState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China.
Meng-Sang ZhangState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China.
Xing-Run ZhengState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China.
Zhi-Qian ZhangJoint Research Center of Engineering Biologylogy Technology of Sun Yat-Sen University and Tidetron Bioworks, Guangzhou, 510275, China.
Jian-Zhong LiuState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China. lssljz@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-1570-3214

Funding

National Key R&D Program of China 2020YFA0906900National Natural Science Foundation of China 32071422
6 · The paper itself

Abstract

Engineering microbial cell factories has been widely used to produce a variety of chemicals, including natural products, biofuels, and bulk chemicals. However, poor robustness limits microbial production on an industrial scale. Microbial robustness is essential to ensure reliable and sustainable production of targeted chemicals. In this study, we developed an approach to screen transcription factors to improve robustness using CRSPRa technology. We applied this approach to identify some transcription factors to increase the robustness of Escherichia coli to aromatic chemicals. Activation of hdfR, yldP, purR, sosS, ygeH, cueR, cra, and treR increased the robustness of E. coli to phenyllactic acid. Upregulation of some transcription factors also improved the robustness to caffeic acid (cra) or tyrosol (cra, cueR, treR, soxS, hdfR and purR). Our study demonstrated that transcription factor engineering using CRISPRa is a powerful method to increase microbial robustness. This research provides new approaches to efficiently find genes responsible for increasing microbial robustness.

Indexed as

Aromatic chemicalsEscherichia coliRobustnessTranscription factor

Identifiers

PMID39883341
PMCPMC11740835

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Registered trials

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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.