Evidence map›Paper›PMID 42801584›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Design of a Novel Diamine Biosensor to Guide the Engineering of Escherichia coli for Cadaverine Overproduction.

Jia Feng, Getao Liu, Ding Ma, Jiaxiang Yuan, Xinyi Zhang, Weihao Wang, Chen Ma, Yang Liao, Siyuan Gao, Lei Qin and 4 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

14 authors.

Jia FengState Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, National Engineering Research Center for Biotechnology, Nanjing Tech University, Nanjing, Jiangsu, China.
Getao LiuState Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, National Engineering Research Center for Biotechnology, Nanjing Tech University, Nanjing, Jiangsu, China.
Ding MaState Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, National Engineering Research Center for Biotechnology, Nanjing Tech University, Nanjing, Jiangsu, China.
Jiaxiang YuanState Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, National Engineering Research Center for Biotechnology, Nanjing Tech University, Nanjing, Jiangsu, China.
Xinyi ZhangState Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, National Engineering Research Center for Biotechnology, Nanjing Tech University, Nanjing, Jiangsu, China.
Weihao WangDepartment of Chemical Engineering/Key Laboratory for Industrial Biocatalysis of Ministry of Education, Tsinghua University, Beijing, China.ORCID https://orcid.org/0009-0004-8625-4235
Chen MaState Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, National Engineering Research Center for Biotechnology, Nanjing Tech University, Nanjing, Jiangsu, China.
Yang LiaoState Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, National Engineering Research Center for Biotechnology, Nanjing Tech University, Nanjing, Jiangsu, China.
Siyuan GaoState Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, National Engineering Research Center for Biotechnology, Nanjing Tech University, Nanjing, Jiangsu, China.
Lei QinDepartment of Chemical Engineering/Key Laboratory for Industrial Biocatalysis of Ministry of Education, Tsinghua University, Beijing, China.
Jiao FengState Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, National Engineering Research Center for Biotechnology, Nanjing Tech University, Nanjing, Jiangsu, China.
Sheng XuState Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, National Engineering Research Center for Biotechnology, Nanjing Tech University, Nanjing, Jiangsu, China.
Xin WangState Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, National Engineering Research Center for Biotechnology, Nanjing Tech University, Nanjing, Jiangsu, China.ORCID https://orcid.org/0000-0002-3663-6970
Kequan ChenState Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, National Engineering Research Center for Biotechnology, Nanjing Tech University, Nanjing, Jiangsu, China.ORCID https://orcid.org/0000-0001-8432-7032

Funding

Jiangsu Basic Research Center for Synthetic Biology BK20233003National Key Research and Development Program of China 2024YFA0916800National Natural Science Foundation of China U21B2097
6 · The paper itself

Abstract

The development of in vivo biosensor systems represents a powerful strategy for engineering cell factories with desired production. Here, we reported a paradigm for the design, mechanistic elucidation, and optimization of the novel biosensor to detect cadaverine, an important polymer monomer. We identified a diamine-responsive promoter P

Indexed as

cadaverine biosensorhigh‐throughput screeningresponsive‐promoterstranscription factortranscriptome

Identifiers

PMID42801584
PMCPMC13616330

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.