Article in Nature communications, 2026. 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.
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
9 authors.
Wei ZhongCenter of Synthetic Biology and integrated Bioengineering, Westlake University, Hangzhou, Zhejiang, China.
Nana LiuCenter of Synthetic Biology and integrated Bioengineering, Westlake University, Hangzhou, Zhejiang, China.
Binbin ChenCenter of Synthetic Biology and integrated Bioengineering, Westlake University, Hangzhou, Zhejiang, China.
Huiqi SunCenter for Future Food, Muyuan Laboratory, Zhengzhou, Henan, China.
Xiao FeiCenter of Synthetic Biology and integrated Bioengineering, Westlake University, Hangzhou, Zhejiang, China.
Jiazhang LianKey Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, Zhejiang, China.ORCID http://orcid.org/0000-0001-9784-9876
Junling GuoBMI Center for Biomass Materials and Nanointerfaces, National Engineering Laboratory for Clean Technology of Leather Manufacture, Ministry of Education Key Laboratory of Leather Chemistry and Engineering, College of Biomass Science and Engineering, Sichuan University, Chengdu, Sichuan, China.ORCID http://orcid.org/0000-0002-2948-880X
Bo WangState Key Laboratory of Quantitative Synthetic Biology, Shenzhen Key Laboratory of Materials Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangzhou, China.ORCID http://orcid.org/0000-0002-3022-1790
Yajie WangCenter of Synthetic Biology and integrated Bioengineering, Westlake University, Hangzhou, Zhejiang, China. wangyajie@westlake.edu.cn.ORCID http://orcid.org/0000-0002-6216-791X
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
Methanol is a promising one-carbon (C1) feedstock for microbial bioconversion; however, engineered Saccharomyces cerevisiae often faces energetic constrains during its assimilation. Here, we develop SC-AOX
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.
Engineering energy-efficient Saccharomyces cerevisiae for methanol and CO · full record | OpenQuestion