Evidence map›Paper›PMID 41674712›Full record

ReviewQuantitative biology (Beijing, China)2025

Understanding the development of bacterial colony: Physiology, new technology, and modeling.

Jingwen Zhu, Pan Chu, Xiongfei Fu

Abstract readReview
In one paragraph

Review in Quantitative biology (Beijing, China), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Jingwen ZhuState Key Laboratory for Quantitative Synthetic Biology Shenzhen Institute of Synthetic Biology Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China.
Pan ChuState Key Laboratory for Quantitative Synthetic Biology Shenzhen Institute of Synthetic Biology Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China.
Xiongfei FuState Key Laboratory for Quantitative Synthetic Biology Shenzhen Institute of Synthetic Biology Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial colonies, as dynamic ecosystems, display intricate behaviors and organizational structures that profoundly influence their survival and functionality. These communities engage in physiological and social interactions, resulting in remarkable spatial heterogeneity. Recent advancements in technology and modeling have significantly enhanced our comprehension of these phenomena, shedding light on the underlying mechanisms governing bacterial colony development. In this review, we explore the multifaceted aspects of bacterial colonies, emphasizing their physiological intricacies, innovative research tools, and predictive modeling approaches. By integrating diverse perspectives, we aim to deepen our understanding of these microbial communities and pave the way for novel applications in biotechnology, ecology, and medicine.

Indexed as

bacterial colonymathematical modelphysiological interactionquantitative technology

Identifiers

PMID41674712
PMCPMC12806008

What OpenQuestion holds

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LicenceCC BY
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.