Evidence map›Paper›PMID 40512851›Full record

ArticleScience advances2025

DNA-programmed responsive microorganism assembly with controlled patterns and behaviors.

Yuhan Kong, Qi Du, Dan Zhao, Yujian Wen, Tianqing Zhang, Zhiwang Geng, Maben Ying, Bryan Wei, Tong Si, Ye Tian and 3 more

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Interactions of the DNA Nanostructure with Silane-Based Self-Assembled Monolayers.Langmuir : the ACS journal of surfaces and colloids · 2026
    Article
  4. DNA-programmed cell assembly: from cells, tissues to organoids.Frontiers in bioengineering and biotechnology · 2025
    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

13 authors.

Yuhan KongInstitute of Chemical Biology and Nanomedicine, State Key Laboratory of Chemo and Biosensing, Hunan Provincial Key Laboratory of Bio-macromolecular Chemical Biology, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China.ORCID 0009-0002-5136-8561
Qi DuInstitute of Chemical Biology and Nanomedicine, State Key Laboratory of Chemo and Biosensing, Hunan Provincial Key Laboratory of Bio-macromolecular Chemical Biology, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China.ORCID 0009-0008-7594-0423
Dan ZhaoInstitute of Chemical Biology and Nanomedicine, State Key Laboratory of Chemo and Biosensing, Hunan Provincial Key Laboratory of Bio-macromolecular Chemical Biology, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China.ORCID 0009-0004-9764-0705
Yujian WenInstitute of Chemical Biology and Nanomedicine, State Key Laboratory of Chemo and Biosensing, Hunan Provincial Key Laboratory of Bio-macromolecular Chemical Biology, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China.
Tianqing ZhangSchool of Life Sciences, Tsinghua University, Beijing 100084, China.ORCID 0000-0002-8783-4416
Zhiwang GengShanghai Institute for Food and Drug Control, Shanghai 201203, China.
Maben YingNeoX Biotech, Shanghai 200070, China.
Bryan WeiSchool of Life Sciences, Tsinghua University, Beijing 100084, China.ORCID 0000-0003-2515-2409
Tong SiShenzhen Institute of Synthetic Biology, Chinese Academy of Sciences, Shenzhen 518055, China.ORCID 0000-0003-2985-9014
Ye TianCollege of Engineering and Applied Sciences, Nanjing University, Nanjing 210023, China.ORCID 0000-0003-3137-7700
Feng LiCollege of Chemistry, Sichuan University, Chengdu Sichuan, 610064, China.ORCID 0000-0002-2616-5343
Zhou NieInstitute of Chemical Biology and Nanomedicine, State Key Laboratory of Chemo and Biosensing, Hunan Provincial Key Laboratory of Bio-macromolecular Chemical Biology, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China.ORCID 0000-0001-9864-2965
Hang XingInstitute of Chemical Biology and Nanomedicine, State Key Laboratory of Chemo and Biosensing, Hunan Provincial Key Laboratory of Bio-macromolecular Chemical Biology, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China.ORCID 0000-0003-3917-8343

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Programming microorganism adhesions to engineer multicellular microbial communities holds promise for synthetic biology and medicine. Current chemical and genetic engineering approaches often lack specificity or require engineered bacteria, making the design of responsive interactions challenging. Here, we demonstrate the use of functional DNA as programmable surface receptors to regulate the patterns and behaviors of microbial communities. Using metabolic labeling and hydrophobic insertion, we modified various microorganisms with DNA, including Gram-positive and Gram-negative bacteria, and dormant spores. By incorporating distinct sequences, we achieved precise spatial control of bi- and tricomponent microbial assemblies, forming diverse morphologies like core-shell and selective clusters. Stimuli-responsive clustering was successfully realized using aptamers, strand displacement, and reverse-Hoogsteen base pairing, with oligonucleotides or small molecules as exogenous cues. This work extends the use of functional DNA to control microbial interactions, enabling living communities with dynamic biofunctions, such as biofilm formation, antibiotic sensitivity, and quorum sensing, in response to biological triggers.

Indexed as

BacteriaDNAAptamers, NucleotideBiofilmsQuorum SensingSynthetic BiologyAptamers, NucleotideDNA

Identifiers

PMID40512851
PMCPMC12164988

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.