Evidence map›Paper›PMID 40684034›Full record

ArticleCommunications biology2025

Construction and phenotypic classification of synthetic dual-pole Escherichia coli cells.

Tsung-Wei Chou, Ing-Jen Huang, Ya-Chu Hsu, Szu-Hua Wu, Jui-Chung Hong, Yu-Hao Ko, Ting-Ran Su, Jie-Hong Roland Jiang, Hsiao-Chun Huang

Abstract read
In one paragraph

Article in Communications biology, 2025. 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

9 authors.

Tsung-Wei Chou *Institute of Molecular and Cellular Biology, National Taiwan University, Taipei, Taiwan.
Ing-Jen Huang *Institute of Molecular and Cellular Biology, National Taiwan University, Taipei, Taiwan.
Ya-Chu Hsu *Institute of Molecular and Cellular Biology, National Taiwan University, Taipei, Taiwan.
Szu-Hua WuInstitute of Molecular and Cellular Biology, National Taiwan University, Taipei, Taiwan.
Jui-Chung HongInstitute of Molecular and Cellular Biology, National Taiwan University, Taipei, Taiwan.
Yu-Hao KoGraduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan.
Ting-Ran SuInstitute of Molecular and Cellular Biology, National Taiwan University, Taipei, Taiwan.
Jie-Hong Roland JiangGraduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan.
Hsiao-Chun HuangInstitute of Molecular and Cellular Biology, National Taiwan University, Taipei, Taiwan. hsiaochun@ntu.edu.tw.ORCID http://orcid.org/0000-0002-6556-3440

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macromolecular complexes anchored at one cell pole have previously been utilized to achieve synthetic asymmetric cell division in Escherichia coli. In nature, however, robust asymmetric cell division often relies on gradients established between two opposing poles. Here, we present a second-generation synthetic genetic circuit that enables two distinct scaffolding proteins to localize at opposite poles in E. coli. By engineering a PodJ fragment as the second scaffold and integrating SpmX, a negative regulator of PodJ condensation, as a direct chimera with PopZ, we effectively confined PopZ and PodJ to opposite poles within E. coli. Additionally, we developed a neural network-based classification method to identify these synthetic dual-pole cells, further advancing the synthetic biology toolkit for programmable cell differentiation.

Indexed as

Asymmetric Cell DivisionEscherichia coliEscherichia coli ProteinsPhenotypeSynthetic BiologyEscherichia coli Proteins

Identifiers

PMID40684034
PMCPMC12276273

What OpenQuestion holds

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Registered trials

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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.