High-efficiency patatin expression strategies in

Yue Huang, Shao Jia, Ying Lin, Jialiang Wang, Luyuan Nong, Lei Ye, Shuli Liang

Abstract read

In one paragraph

Article in Synthetic and systems biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Systematic optimization ofEngineering microbiology · 2026
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

7 authors.

Yue HuangGuangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, China.

Shao JiaGuangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, China.

Ying LinGuangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, China.

Jialiang WangGuangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, China.

Luyuan NongGuangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, China.

Lei YeInstitute of Food Safety and Nutrition, College of Life Science and Technology, Jinan University, Guangzhou, 510632, China.

Shuli LiangGuangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patatin, a prominent food protein derived from potatoes, is renowned for its exceptional nutritional value. Patatin has been characterized for its diverse physiological attributes, including esterase activity, antioxidative properties, cholesterol-lowering effects, and high lysine content, alongside notable physicochemical traits such as foaming, emulsification, and gelation capabilities. Conventional methods for patatin extraction are fraught with inefficiencies, elevated costs, and detrimental impacts on protein structural and functional integrity. Herein, we leveraged an optimized strategy integrating an expression cassette toolbox and regulation of protein secretion to harness

Indexed as

CAT1 promoterExpression cassetteKomagataella phaffiiOptimization of expressionPatatin

Identifiers

PMID40613057

DOI10.1016/j.synbio.2025.01.003

PMCPMC12223583

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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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.