Evidence map›Paper›PMID 38647562›Full record

ReviewBioresources and bioprocessing2023

Current advances for omics-guided process optimization of microbial manufacturing.

Shengtong Wan, Xin Liu, Wentao Sun, Bo Lv, Chun Li

Abstract readReview
In one paragraph

Review in Bioresources and bioprocessing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Advances in microbial biosynthesis of indirubin.Chinese herbal medicines · 2026
    Review
  4. Special Issue "Current Research on Omics of Microorganisms".International journal of molecular sciences · 2025
    Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Optimisation of surfactin yield inComputational and structural biotechnology journal · 2024
    Article
  11. Biologically active metabolites ofFuture science OA · 2024
    Review
  12. Enhancement of vitamin BMicrobial cell factories · 2024
    Article
  13. Synergetic engineering ofSynthetic and systems biotechnology · 2023
    Article
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.

Shengtong WanKey Laboratory of Medical Molecule Science and Pharmaceutical Engineering, Ministry of Industry and Information Technology, Institute of Biochemical Engineering, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, People's Republic of China.
Xin LiuDepartment of Chemical Engineering, Tsinghua University, Beijing, China.
Wentao SunDepartment of Chemical Engineering, Tsinghua University, Beijing, China. sunwentao@mail.tsinghua.edu.cn.
Bo LvKey Laboratory of Medical Molecule Science and Pharmaceutical Engineering, Ministry of Industry and Information Technology, Institute of Biochemical Engineering, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, People's Republic of China. lv-b@bit.edu.cn.
Chun LiKey Laboratory of Medical Molecule Science and Pharmaceutical Engineering, Ministry of Industry and Information Technology, Institute of Biochemical Engineering, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, People's Republic of China. lichun@tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-4262-6848

Funding

China Postdoctoral Science Foundation No.2021M691765National Key Research and Development Program of China No.2018YFA0901800National Natural Science Foundation of China No.21736002National Natural Science Foundation of China No.22108154National Natural Science Foundation of China No32171430Natural Science Foundation of Beijing M21010
6 · The paper itself

Abstract

Currently, microbial manufacturing is widely used in various fields, such as food, medicine and energy, for its advantages of greenness and sustainable development. Process optimization is the committed step enabling the commercialization of microbial manufacturing products. However, the present optimization processes mainly rely on experience or trial-and-error method ignoring the intrinsic connection between cellular physiological requirement and production performance, so in many cases the productivity of microbial manufacturing could not been fully exploited at economically feasible cost. Recently, the rapid development of omics technologies facilitates the comprehensive analysis of microbial metabolism and fermentation performance from multi-levels of molecules, cells and microenvironment. The use of omics technologies makes the process optimization more explicit, boosting microbial manufacturing performance and bringing significant economic benefits and social value. In this paper, the traditional and omics technologies-guided process optimization of microbial manufacturing are systematically reviewed, and the future trend of process optimization is prospected.

Indexed as

Fermentation performanceMicrobial manufacturingOmicsProcess optimization

Identifiers

PMID38647562
PMCPMC10992112

What OpenQuestion holds

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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.