Evidence map›Paper›PMID 42619874›Full record

ArticlebioRxiv : the preprint server for biology2026

Phenotypic heterogeneity in the human gut microbiome revealed by subspecies-resolution single-cell transcriptomics.

Dmitry Sutormin, Karl Gaisser, Jacqueline Haring, Anjana Punniamoorthy, Theinmozhi Arulraj, Crystal Perez, Christian Diener, Katherine Ramos Sarmiento, Alex V Carr, Noa Rappaport and 2 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

12 authors.

Dmitry SutorminInstitute for Systems Biology, Seattle, WA, USA.ORCID 0000-0001-6834-4246
Karl GaisserInstitute for Systems Biology, Seattle, WA, USA.ORCID 0009-0002-8035-5137
Jacqueline HaringInstitute for Systems Biology, Seattle, WA, USA.ORCID 0000-0003-0860-8769
Anjana PunniamoorthyDepartment of Bioengineering, University of Washington, Seattle, WA, USA.ORCID 0009-0004-3397-647X
Theinmozhi ArulrajInstitute for Systems Biology, Seattle, WA, USA.ORCID 0000-0002-7258-7512
Crystal PerezInstitute for Systems Biology, Seattle, WA, USA.ORCID 0000-0003-2336-9807
Christian DienerInstitute for Systems Biology, Seattle, WA, USA.ORCID 0000-0002-7476-0868
Katherine Ramos SarmientoInstitute for Systems Biology, Seattle, WA, USA.ORCID 0000-0002-6591-3228
Alex V CarrInstitute for Systems Biology, Seattle, WA, USA.ORCID 0009-0007-8969-0931
Noa RappaportInstitute for Systems Biology, Seattle, WA, USA.ORCID 0000-0001-8643-2055
Sean M GibbonsInstitute for Systems Biology, Seattle, WA, USA.ORCID 0000-0002-8724-7916
Anna KuchinaInstitute for Systems Biology, Seattle, WA, USA.ORCID 0000-0002-7267-101X

Funding

CyberGut: towards personalized human-microbiome metabolic modeling for precision health and nutritionR01DK133468 · NIDDK · INSTITUTE FOR SYSTEMS BIOLOGY · PI Sean Michael Gibbons · 2022 to 2026
$3.6M
Single-cell transcriptomics of complex bacterial communitiesR35GM150994 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI Anna Kuchina · 2023 to 2026
$2.1M
NIDDK NIH HHS R01 DK133468NIGMS NIH HHS R35 GM150994
6 · The paper itself

Abstract

Most of our knowledge about bacterial functional roles in microbiomes comes from bulk measurements. Yet microbial communities are complex ecosystems in which functionally distinct bacterial subpopulations with unique transcriptional states emerge across environmental niches and from interactions with other community members. Such heterogeneous transcriptional states are inherently missed by bulk measurements. To address this gap, we developed multispecies microbial split-pool ligation meta-transcriptomics (metaSPLiT), a scalable, instrument-free single-cell RNA sequencing approach for the microbiome. Using metaSPLiT, we profiled healthy human fecal microbiomes and reconstructed 21,598 single cell transcriptomes belonging to 70 unique bacterial species. We found sub-species functional specialization in

Identifiers

PMID42619874
PMCPMC13484286

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.