Evidence map›Paper›PMID 36913588›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Peroxisomal metabolic coupling improves fatty alcohol production from sole methanol in yeast.

Xiaoxin Zhai, Jiaoqi Gao, Yunxia Li, Martin Grininger, Yongjin J Zhou

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
9.8field-weighted citation impact, top 1% 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

18 citing papers in PubMed, 64 citations in OpenAlex.

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  7. Yeast Midas' touch: recent advances in the valorisation of methanol by yeasts.World journal of microbiology & biotechnology · 2025
    Review
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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.

Xiaoxin ZhaiDivision of Biotechnology, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
Jiaoqi GaoDivision of Biotechnology, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.ORCID 0000-0001-7099-7422
Yunxia LiDivision of Biotechnology, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
Martin GriningerInstitute of Organic Chemistry and Chemical Biology, Buchmann Institute for Molecular Life Sciences, Goethe University, Frankfurt am Main D-60438, Germany.ORCID 0000-0002-7269-0667
Yongjin J ZhouDivision of Biotechnology, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.ORCID 0000-0002-2369-3079
Dalian Institute of Chemical Physics · CNGoethe University Frankfurt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methanol is an ideal feedstock for chemical and biological manufacturing. Constructing an efficient cell factory is essential for producing complex compounds through methanol biotransformation, in which coordinating methanol use and product synthesis is often necessary. In methylotrophic yeast, methanol utilization mainly occurs in peroxisomes, which creates challenges in driving the metabolic flux toward product biosynthesis. Here, we observed that constructing the cytosolic biosynthesis pathway resulted in compromised fatty alcohol production in the methylotrophic yeast

Indexed as

Fatty AlcoholsMethanolFermentationMetabolic EngineeringPeroxisomesFatty AlcoholsMethanolcell factorymetabolic engineeringmethanol metabolismperoxisomesynthetic biology

Identifiers

PMID36913588
PMCPMC10041095
OpenAlexW4324027301

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.