Evidence map›Paper›PMID 37055614›Full record

ArticleNature chemical biology2023

Spatial transcriptome uncovers rich coordination of metabolism in E. coli K12 biofilm.

Tianmin Wang, Ping Shen, Yihui He, Yuzhen Zhang, Jintao Liu

Abstract read
PubMed Publisher
In one paragraph

Article in Nature chemical biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
8.0field-weighted citation impact, top 2% of its field
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

36 citing papers in PubMed, 52 citations in OpenAlex.

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  11. Single-cell lysis patterns morphogenesis of eDNA in the matrix ofProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Spatial self-organization of confined bacterial suspensions.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Review
  14. Review
  15. Review
  16. L-Arabinose Alters theMicroorganisms · 2025
    Article
  17. Article
  18. Colony pattern multistability emerges from a bistable switch.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  19. Article
  20. Mechanisms ofInternational journal of molecular sciences · 2025
    Article
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

5 authors at 3 institutions in 2 countries.

Tianmin Wang *Center for Infectious Disease Research, School of Medicine, Tsinghua University, Beijing, China.ORCID 0000-0002-7897-0627
Ping Shen *Center for Infectious Disease Research, School of Medicine, Tsinghua University, Beijing, China.
Yihui HeCenter for Infectious Disease Research, School of Medicine, Tsinghua University, Beijing, China.
Yuzhen ZhangCenter for Infectious Disease Research, School of Medicine, Tsinghua University, Beijing, China.
Jintao LiuCenter for Infectious Disease Research, School of Medicine, Tsinghua University, Beijing, China. jintaoliu@tsinghua.edu.cn.ORCID 0000-0002-6710-2605
Center for Life Sciences · CNTsinghua University · CNKing Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial communities often display region-specific properties, which give rise to complex interactions and emergent behaviors that are critical to the homeostasis and stress response of the communities. However, systems-level understanding of these properties still remains elusive. In this study, we established RAINBOW-seq and profiled the transcriptome of Escherichia coli biofilm communities with high spatial resolution and high gene coverage. We uncovered three modes of community-level coordination, including cross-regional resource allocation, local cycling and feedback signaling, which were mediated by strengthened transmembrane transport and spatially specific activation of metabolism. As a consequence of such coordination, the nutrient-limited region of the community maintained an unexpectedly high level of metabolism, enabling it to express many signaling genes and functionally unknown genes with potential sociality functions. Our work provides an extended understanding of the metabolic interplay in biofilms and presents a new approach of investigating complex interactions in bacterial communities on the systems level.

Indexed as

Escherichia coli K12BacteriaBiofilmsEscherichia coliTranscriptome

Identifiers

PMID37055614
OpenAlexW4365450277

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.