Evidence map›Paper›PMID 31811524›Full record

ReviewWorld journal of microbiology & biotechnology2019

Harnessing microbial metabolomics for industrial applications.

Jiachen Zhao, Guan Wang, Ju Chu, Yingping Zhuang

Abstract readReview
PubMed Publisher
In one paragraph

Review in World journal of microbiology & biotechnology, 2019. 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. Article
  3. Article
  4. Review
  5. Omics-Driven Biotechnology for Industrial Applications.Frontiers in bioengineering and biotechnology · 2021
    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

4 authors.

Jiachen ZhaoState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology (ECUST), Shanghai, People's Republic of China.
Guan WangState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology (ECUST), Shanghai, People's Republic of China. guanwang@ecust.edu.cn.ORCID http://orcid.org/0000-0003-2341-3054
Ju ChuState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology (ECUST), Shanghai, People's Republic of China.
Yingping ZhuangState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology (ECUST), Shanghai, People's Republic of China.

Funding

Natural Science Foundation of Shanghai (CN) 19ZR1413600Young Scientists Fund 31900073
6 · The paper itself

Abstract

Metabolome defines a set of metabolites present in a biological sample, which provides an immediate and dynamic recording of microbes in response to genetic and/or environmental perturbations. In recent years, metabolomics in combination with other omics diagnostic tools such as genomics, transcriptomics and proteomics is focused on addressing open biological questions that accelerate our understanding of the system as a whole and boost the use of systems metabolic engineering tools in industrial settings. In this review article, we summarize the applications of metabolomics to industrial microbial fermentations with respect to the bulk production of organic acids, amino acids, enzymes, antibiotics and therapeutic proteins. In addition, future prospects regarding metabolomics-assisted research are provided.

Indexed as

Metabolic EngineeringAmino AcidsAnti-Bacterial AgentsBiofuelsComputational BiologyDatabases, FactualEnzymesFermentationGenomicsIndustrial MicrobiologyMetabolomeMetabolomicsProteomicsSystems BiologyAmino AcidsAnti-Bacterial AgentsBiofuelsEnzymesIndustrial fermentationMetabolic engineeringMetabolomicsProcess optimizationSynthetic biologySystem biology

Identifiers

What OpenQuestion holds

Textmetadata
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.