Evidence map›Paper›PMID 37954482›Full record

ReviewSynthetic and systems biotechnology2023

Way to efficient microbial paclitaxel mass production.

Chenyue Li, Yanli Qi, Zhongke Sun, Mengwan Jiang, Chengwei Li

Abstract readReview
In one paragraph

Review in Synthetic and systems biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Engineering a non-model yeastSynthetic and systems biotechnology · 2024
    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.

Chenyue LiSchool of Biological Engineering, Henan University of Technology, Zhengzhou, 450001, China.
Yanli QiSchool of Biological Engineering, Henan University of Technology, Zhengzhou, 450001, China.
Zhongke SunSchool of Biological Engineering, Henan University of Technology, Zhengzhou, 450001, China.
Mengwan JiangSchool of Artificial Intelligence and Big Data, Henan University of Technology, Zhengzhou, 450001, China.
Chengwei LiSchool of Biological Engineering, Henan University of Technology, Zhengzhou, 450001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microbial synthesis of paclitaxel is attractive for its short-cycle, cost-effectiveness, and sustainability. However, low paclitaxel productivity, depleted capacity during subculture and storage, and unclear biosynthesis mechanisms restrain industrial microbial synthesis. Along with the isolation of various paclitaxel-producing microorganisms and the development of versatile molecular tools, tremendous promises for microbial paclitaxel synthesis have become increasingly prominent. In this review, we summarize the progress of microbial synthesis of paclitaxel in recent years, focusing on paclitaxel-producing endophytes and representative engineering microorganism hosts that were used as chassis for paclitaxel precursor synthesis. Numerous wide-type microbes can manufacture paclitaxel, and fermentation process optimization and strain improvement can greatly enhance the productivity. Engineered microbes can efficiently synthesize precursors of paclitaxel by introducing exogenous synthetic pathway. Mining paclitaxel synthetic pathways and genetic manipulation of endophytes will accelerate the construction of microbial cell factories, indefinitely contributing to paclitaxel mass production by microbes. This review emphasizes the potential and provides solutions for efficient microbial paclitaxel mass production.

Indexed as

EndophytesMicrobial fermentationPaclitaxelProcess optimizationSynthetic pathway

Identifiers

PMID37954482
PMCPMC10632112

What OpenQuestion holds

Textmetadata
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.