Evidence map›Paper›PMID 41792309›Full record

ArticleNature microbiology2026

Spatial transcriptomics maps host-gut microbiome biogeography at high resolution.

Ioannis Ntekas, Lena Takayasu, David W McKellar, Benjamin Grodner, Chase Holdener, Peter Schweitzer, Young Seo Park, Maya Sauthoff, Qiaojuan Shi, Ilana L Brito and 1 more

Abstract read
In one paragraph

Article in Nature microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

11 authors.

Ioannis Ntekas *Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.ORCID http://orcid.org/0000-0002-4157-1665
Lena Takayasu *Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
David W McKellar *Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Benjamin GrodnerNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.ORCID http://orcid.org/0000-0001-7679-2129
Chase HoldenerNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.ORCID http://orcid.org/0000-0003-3359-5592
Peter SchweitzerNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Young Seo ParkNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.ORCID http://orcid.org/0009-0003-9811-3766
Maya SauthoffNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Qiaojuan ShiNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.ORCID http://orcid.org/0000-0002-7588-2445
Ilana L BritoNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.ORCID http://orcid.org/0000-0002-2250-3480
Iwijn De VlaminckNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA. vlaminck@cornell.edu.ORCID http://orcid.org/0000-0001-6085-7311

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intermicrobial and host-microbial interactions are critical for the functioning of the gut microbiome, but few tools are available to measure these interactions in situ. Here we report a method for broad spatial sampling of microbiome-host interactions in the gut at high resolution (1 µm). This method combines enzymatic in situ polyadenylation of both bacterial and host RNA with spatial RNA sequencing to increase bacterial RNA recovery and enable transcriptomic analysis of low-abundance and spatially restricted microbial taxa. We benchmark the method against existing spatial transcriptomic workflows, demonstrating improved sensitivity and resolution. Application of this method in a mouse model of intestinal neoplasia revealed the biogeography of the mouse gut microbiome as function of location in the intestine, frequent strong intermicrobial interactions at short length scales and tumour-associated changes in the architecture of the host-microbiome interface. This method is compatible with widely available commercial platforms for spatial RNA sequencing and can therefore be readily adopted to study the role of short-range, bidirectional host-microbe interactions in microbiome health and disease.

Indexed as

BacteriaGastrointestinal MicrobiomeHost Microbial InteractionsAnimalsMiceRNA, BacterialSequence Analysis, RNASpatial TranscriptomicsRNA, Bacterial

Identifiers

PMID41792309
PMCPMC13171632

What OpenQuestion holds

Textmetadata
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.