Evidence map›Paper›PMID 42094390›Full record

ArticlebioRxiv : the preprint server for biology2026

SpatialQuery: scalable discovery and molecular characterization of multicellular motifs from spatial omics data.

Shaokun An, Mark Keller, Nils Gehlenborg, Martin Hemberg

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

4 authors.

Shaokun AnGene Lay Institute of Immunology and Inflammation, Brigham and Women's Hospital, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Mark KellerDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Nils GehlenborgDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-0327-8297
Martin HembergGene Lay Institute of Immunology and Inflammation, Brigham and Women's Hospital, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Funding

SenNet Supplement - Consortium BenchmarkingU24CA268108 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Philip D. Blood, JONATHAN C. SILVERSTEIN · 2021 to 2026
$22.1M
Flexible Hybrid Cloud Infrastructure for Seamless Integration and Use of Human Biomolecular Data and Reference Maps [1 of 5]OT2OD033759 · OD · CARNEGIE-MELLON UNIVERSITY · PI BLOOD, PHILIP D., SILVERSTEIN, JONATHAN C. · 2022 to 2025
$20.4M
Data Exploration and Visualization Tools for HuBMAP and a Human Reference AtlasOT2OD033758 · OD · HARVARD MEDICAL SCHOOL · PI GEHLENBORG, NILS · 2022 to 2024
$5.0M
NCI NIH HHS U24 CA268108NIH HHS OT2 OD033758NIH HHS OT2 OD033759
6 · The paper itself

Abstract

Spatially resolved single-cell technologies enable profiling of cells

Identifiers

PMID42094390
PMCPMC13142517

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.