Evidence map›Paper›PMID 42345366›Full record

ReviewBiotechnology journal2026

Metabolic and Synthetic Biology Strategies for Enhancing Single-Cell Protein Production in Saccharomyces cerevisiae.

Xiaoyu Wang, Huayou Chen, Huiqing Chen, Hongwei Yu, Lidan Ye, Zhongjian Guo

Abstract readReview
In one paragraph

Review in Biotechnology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Xiaoyu WangSchool of Biological Science and Technology, Jiangsu University, Zhenjiang, Jiangsu, China.ORCID https://orcid.org/0009-0006-7080-9237
Huayou ChenSchool of Biological Science and Technology, Jiangsu University, Zhenjiang, Jiangsu, China.ORCID https://orcid.org/0000-0001-5048-5753
Huiqing ChenSchool of Biological Science and Technology, Jiangsu University, Zhenjiang, Jiangsu, China.
Hongwei YuInstitute of Bioengineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China.
Lidan YeInstitute of Bioengineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-6248-8457
Zhongjian GuoSchool of Biological Science and Technology, Jiangsu University, Zhenjiang, Jiangsu, China.

Funding

Jiangsu Province Carbon Peak Carbon neutralization Science and Technology Innovation Project (Modern Agriculture) BE2023399Zhengjiang City Carbon Peak Carbon Neutral Science and Technology Innovation Project CN2024001
6 · The paper itself

Abstract

Single cell protein (SCP), distinguished by its high production efficiency, flexible substrate utilization, and excellent nutritional value, has broad application prospects in both feed and food sectors. With the advancement of synthetic biology and metabolic engineering, SCP is poised to become a mainstream protein source, providing key solutions for global food security and carbon neutrality goals. This review focuses on Saccharomyces cerevisiae as an SCP chassis and summarizes recent metabolic and synthetic biology strategies aimed at enhancing cellular protein content and cell biomass, thereby improving its potential for sustainable large-scale protein production.

Indexed as

Metabolic EngineeringSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSynthetic BiologyDietary ProteinsDietary ProteinsSaccharomyces cerevisiae Proteinssingle cell proteinsmetabolic engineeringSaccharomyces cerevisiaesingle‐cell proteinsynthetic biology

Identifiers

PMID42345366
PMCPMC13383604

What Socratic 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 Socratic graph.