Evidence map›Paper›PMID 39333268›Full record

ArticleNature methods2025

Vitessce: integrative visualization of multimodal and spatially resolved single-cell data.

Mark S Keller, Ilan Gold, Chuck McCallum, Trevor Manz, Peter V Kharchenko, Nils Gehlenborg

Abstract read
In one paragraph

Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 1 pooled it
–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

60 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. The HuBMAP Framework for Advancing Data FAIRness.bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. MilliMap: interactive closed-loop analysis for spatial omics.bioRxiv : the preprint server for biology · 2026
    Article
  9. Article
  10. Article
  11. The Common Fund Data Ecosystem (CFDE).bioRxiv : the preprint server for biology · 2026
    Article
  12. Article
  13. SenNet Portal: Build, Optimization and Usage.bioRxiv : the preprint server for biology · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. SEAL: Spatially-resolved Embedding Analysis with Linked Imaging Data.IEEE transactions on visualization and computer graphics · 2026
    Article
  20. 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

6 authors.

Mark S KellerDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0003-3003-874X
Ilan GoldDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-5823-1026
Chuck McCallumDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Trevor ManzDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-7694-5164
Peter V KharchenkoDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-6036-5875
Nils GehlenborgDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. nils@hms.harvard.edu.ORCID http://orcid.org/0000-0003-0327-8297

Funding

RESEARCH TRAINING-MEDICAL INFORMATICS 90T15LM007092 · NLM · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Nils Gehlenborg · 1992 to 2026
$32.8M
Training (pp 214-245)P41GM103391 · NIGMS · VANDERBILT UNIVERSITY · PI SPRAGGINS, JEFFREY M · 2012 to 2020
$17.7M
Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
Vanderbilt University Biomolecular Multimodal Imaging Center for 3-Dimensional Tissue MappingU54DK120058 · NIDDK · VANDERBILT UNIVERSITY · PI CAPRIOLI, RICHARD M · 2018 to 2021
$5.7M
Data Exploration and Visualization Tools for HuBMAP and a Human Reference AtlasOT2OD033758 · OD · HARVARD MEDICAL SCHOOL · PI GEHLENBORG, NILS · 2022 to 2024
$5.0M
HuBMAP HIVE Tools Component SupplementOT2OD026677 · OD · HARVARD MEDICAL SCHOOL · PI GEHLENBORG, NILS · 2018 to 2021
$3.5M
The Human Body Atlas: High-Resolution, Functional Mapping of Voxel, Vector, and Meta DatasetsOT2OD026671 · OD · TRUSTEES OF INDIANA UNIVERSITY · PI BORNER, KATY · 2018 to 2021
$3.5M
Integrative Visualization of Spatiotemporal Tumor AtlasesR33CA263666 · NCI · HARVARD MEDICAL SCHOOL · PI GEHLENBORG, NILS · 2021 to 2021
$1.5M
National Science Foundation (NSF) CBET1828299National Science Foundation (NSF) DGE1745303NCI NIH HHS R33 CA263666NHGRI NIH HHS T32 HG002295NIDDK NIH HHS U54 DK120058NIGMS NIH HHS P41 GM103391NIH HHS OT2 OD026671NIH HHS OT2 OD026677NIH HHS OT2 OD033758NLM NIH HHS T15 LM007092U.S. Department of Health & Human Services | National Institutes of Health (NIH) 2P41GM103391U.S. Department of Health & Human Services | National Institutes of Health (NIH) OT2OD026671U.S. Department of Health & Human Services | National Institutes of Health (NIH) OT2OD033758U.S. Department of Health & Human Services | National Institutes of Health (NIH) R33CA263666U.S. Department of Health & Human Services | National Institutes of Health (NIH) T15LM007092U.S. Department of Health & Human Services | National Institutes of Health (NIH) T32HG002295U.S. Department of Health & Human Services | National Institutes of Health (NIH) U54DK120058
6 · The paper itself

Abstract

Multiomics technologies with single-cell and spatial resolution make it possible to measure thousands of features across millions of cells. However, visual analysis of high-dimensional transcriptomic, proteomic, genome-mapped and imaging data types simultaneously remains a challenge. Here we describe Vitessce, an interactive web-based visualization framework for exploration of multimodal and spatially resolved single-cell data. We demonstrate integrative visualization of millions of data points, including cell-type annotations, gene expression quantities, spatially resolved transcripts and cell segmentations, across multiple coordinated views. The open-source software is available at http://vitessce.io .

Indexed as

Single-Cell AnalysisSoftwareGene Expression ProfilingHumansProteomicsTranscriptome

Identifiers

PMID39333268
PMCPMC11725496

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.