Evidence map›Paper›PMID 35246697›Full record

ArticleAdvances in biochemical engineering/biotechnology2022

Systems Metabolic Engineering of Methanotrophic Bacteria for Biological Conversion of Methane to Value-Added Compounds.

Shuqi Guo, Diep Thi Ngoc Nguyen, Tin Hoang Trung Chau, Qiang Fei, Eun Yeol Lee

Abstract read
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In one paragraph

Article in Advances in biochemical engineering/biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% of its field
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. 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 at 2 institutions in 2 countries.

Shuqi Guo *School of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an, China.
Diep Thi Ngoc Nguyen *Department of Chemical Engineering (Integrated Engineering), Kyung Hee University, Yongin-si, South Korea.
Tin Hoang Trung Chau *Department of Chemical Engineering (Integrated Engineering), Kyung Hee University, Yongin-si, South Korea.
Qiang FeiSchool of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an, China. feiqiang@xjtu.edu.cn.
Eun Yeol LeeDepartment of Chemical Engineering (Integrated Engineering), Kyung Hee University, Yongin-si, South Korea.
Kyung Hee University · KRXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methane is considered the carbon source with the highest potential in industrial biotechnology because of its abundance and sustainability. The biological conversion of methane into chemicals or fuels can not only reduce greenhouse gas emissions, but can also substitute edible substrates used in biorefineries. Methanotrophs that can utilize methane as the sole energy and carbon source play a significant role in the ecology of methane. Studies on metabolically-engineered methanotrophs have attracted extensive attention in recent years. In this chapter, the approaches and strategies of methanotrophic cell factory construction are summarized based on synthetic biology tools, systematic manipulation, metabolic modeling, and carbon flux enhancement. Finally, the challenges and opportunities for methane bioconversion by methanotrophs are discussed based on industrial applications.

Indexed as

Metabolic EngineeringMethaneBacteriaBiotechnologyCarbonCarbonMethaneBiosynthesisMetabolic engineeringMethaneMethanotrophsSynthetic strategyValue-added compounds

Identifiers

PMID35246697
OpenAlexW4214845752

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.