Evidence map›Paper›PMID 40082611›Full record

ArticleNature methods2025

Human BioMolecular Atlas Program (HuBMAP): 3D Human Reference Atlas construction and usage.

Katy Börner, Philip D Blood, Jonathan C Silverstein, Matthew Ruffalo, Rahul Satija, Sarah A Teichmann, Gloria J Pryhuber, Ravi S Misra, Jeffrey M Purkerson, Jean Fan and 11 more

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 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. AI semantics for biomedical data integration.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Article
  10. Organism-scale annotation with Pan-human Azimuth.bioRxiv : the preprint server for biology · 2026
    Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. The Common Fund Data Ecosystem (CFDE).bioRxiv : the preprint server for biology · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Katy BörnerDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA. katy@iu.edu.ORCID http://orcid.org/0000-0002-3321-6137
Philip D BloodPittsburgh Supercomputing Center, Carnegie Mellon University, Pittsburgh, PA, USA.
Jonathan C SilversteinDepartment of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.ORCID http://orcid.org/0000-0002-9252-6039
Matthew RuffaloRay and Stephanie Lane Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID http://orcid.org/0000-0003-2222-6169
Rahul SatijaNew York Genome Center, New York, NY, USA.ORCID http://orcid.org/0000-0001-9448-8833
Sarah A TeichmannCIFAR MacMillan Multiscale Human program, CIFAR, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-6294-6366
Gloria J PryhuberUniversity of Rochester Medical Center, Rochester, NY, USA.ORCID http://orcid.org/0000-0002-9185-3994
Ravi S MisraUniversity of Rochester Medical Center, Rochester, NY, USA.
Jeffrey M PurkersonUniversity of Rochester Medical Center, Rochester, NY, USA.
Jean FanDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-0212-5451
John W HickeyDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Gesmira MollaNew York Genome Center, New York, NY, USA.
Chuan XuCambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, Cambridge Biomedical Campus, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-6265-999X
Yun ZhangJ. Craig Venter Institute, La Jolla, CA, USA.ORCID http://orcid.org/0000-0003-2707-5881
Griffin M WeberDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Yashvardhan JainDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA.ORCID http://orcid.org/0000-0002-6300-5568
Danial QaurooniDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA.ORCID http://orcid.org/0000-0001-6190-073X
Yongxin KongDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA.
HRA Team
Andreas BueckleDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA. abueckle@iu.edu.ORCID http://orcid.org/0000-0002-8977-498X
Bruce W HerrDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA. bherr@iu.edu.ORCID http://orcid.org/0000-0002-6703-7647

Funding

Center for Integrated Cellular Analysis - Valeria A. Sanchez EstradaRM1HG011014 · NHGRI · NEW YORK GENOME CENTER · PI LANDAU, DAN, SATIJA, RAHUL · 2020 to 2025
$22.1M
SenNet Supplement - Consortium BenchmarkingU24CA268108 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Philip D. Blood, JONATHAN C. SILVERSTEIN · 2021 to 2026
$22.1M
ConProject-002U2CDK114886 · NIDDK · UNIVERSITY OF WASHINGTON · PI HIMMELFARB, JONATHAN, IYENGAR, SRINIVAS RAVI V · 2017 to 2021
$21.0M
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
The Duke Senescent Cell Evaluations in Normal Tissues (SCENT) Mapping CenterU54AG075936 · NIA · DUKE UNIVERSITY · PI NIXON, ANDREW B. · 2021 to 2025
$12.7M
Senescent cell mapping, identification and validation for human somatic and reproductive tissuesU54AG075932 · NIA · BUCK INSTITUTE FOR RESEARCH ON AGING · PI Simon Melov, Birgit Schilling · 2021 to 2026
$12.5M
KPMP Kidney Mapping and Atlas Project (KMAP)U01DK133090 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jonathan Himmelfarb, Matthias Kretzler · 2022 to 2026
$10.4M
BioRepository for INvestigation of Diseases of the Lung (BRINDL) - Phase IIIU01HL148861 · NHLBI · UNIVERSITY OF ROCHESTER · PI GLORIA S PRYHUBER · 2019 to 2026
$9.7M
Flexible Hybrid Cloud Infrastructure for Seamless Management of HuBMAP Resources, Including Consortium-Wide and External EngagementOT2OD026675 · OD · CARNEGIE-MELLON UNIVERSITY · PI BLOOD, PHILIP D., SILVERSTEIN, JONATHAN C. · 2018 to 2021
$8.9M
The Human Lung BioMolecular Multi-Scale Atlas Program (HuBMAP-Lung)U54HL165443 · NHLBI · UNIVERSITY OF ROCHESTER · PI PRYHUBER, GLORIA S · 2022 to 2025
$8.0M
Kidney single cell and spatial molecular atlas project - KIDSSMAPU54DK134301 · NIDDK · WASHINGTON UNIVERSITY · PI JAIN, SANJAY · 2022 to 2025
$7.8M
3D Multiscale Biomolecular Human Reference Atlas Construction, Visualization and Usage [4 of 5]OT2OD033756 · OD · TRUSTEES OF INDIANA UNIVERSITY · PI BORNER, KATY · 2022 to 2025
$7.4M
BLRD VA I01 BX007249BLRD VA IK6 BX005244NCI NIH HHS U24 CA268108NCI NIH HHS UH3 CA246594NHGRI NIH HHS RM1 HG011014NHLBI NIH HHS U01 HL148861NHLBI NIH HHS U54 HL165440NHLBI NIH HHS U54 HL165443NIAMS NIH HHS U54 AR081775NIA NIH HHS U54 AG075932NIA NIH HHS U54 AG075936NIDDK NIH HHS U01 DK133090NIDDK NIH HHS U24 DK135157NIDDK NIH HHS U2C DK114886NIDDK NIH HHS U54 DK134301NIH HHS OT2 OD026671NIH HHS OT2 OD026673NIH HHS OT2 OD026675NIH HHS OT2 OD026682NIH HHS OT2 OD033756NIH HHS OT2 OD033759NIH HHS OT2 OD033760NIH HHS OT2 OD033761NIH HHS R03 OD036499U.S. Department of Health & Human Services | National Institutes of Health (NIH) 1OT2OD033761U.S. Department of Health & Human Services | National Institutes of Health (NIH) 1R03OD036499U.S. Department of Health & Human Services | National Institutes of Health (NIH) 3OT2OD026682U.S. Department of Health & Human Services | National Institutes of Health (NIH) 3OT2OD033760U.S. Department of Health & Human Services | National Institutes of Health (NIH) 3U54AG075936U.S. Department of Health & Human Services | National Institutes of Health (NIH) HLU01148861U.S. Department of Health & Human Services | National Institutes of Health (NIH) OT2OD026671U.S. Department of Health & Human Services | National Institutes of Health (NIH) OT2OD026673U.S. Department of Health & Human Services | National Institutes of Health (NIH) OT2OD026675U.S. Department of Health & Human Services | National Institutes of Health (NIH) OT2OD033756U.S. Department of Health & Human Services | National Institutes of Health (NIH) OT2OD033759U.S. Department of Health & Human Services | National Institutes of Health (NIH) OT2OD033760U.S. Department of Health & Human Services | National Institutes of Health (NIH) U24CA268108U.S. Department of Health & Human Services | National Institutes of Health (NIH) U24DK135157U.S. Department of Health & Human Services | National Institutes of Health (NIH) U2CDK114886U.S. Department of Health & Human Services | National Institutes of Health (NIH) U54HL165443U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) RM1HG011014
6 · The paper itself

Abstract

The Human BioMolecular Atlas Program (HuBMAP) aims to construct a 3D Human Reference Atlas (HRA) of the healthy adult body. Experts from 20+ consortia collaborate to develop a Common Coordinate Framework (CCF), knowledge graphs and tools that describe the multiscale structure of the human body (from organs and tissues down to cells, genes and biomarkers) and to use the HRA to characterize changes that occur with aging, disease and other perturbations. HRA v.2.0 covers 4,499 unique anatomical structures, 1,195 cell types and 2,089 biomarkers (such as genes, proteins and lipids) from 33 ASCT+B tables and 65 3D Reference Objects linked to ontologies. New experimental data can be mapped into the HRA using (1) cell type annotation tools (for example, Azimuth), (2) validated antibody panels or (3) by registering tissue data spatially. This paper describes HRA user stories, terminology, data formats, ontology validation, unified analysis workflows, user interfaces, instructional materials, application programming interfaces, flexible hybrid cloud infrastructure and previews atlas usage applications.

Indexed as

Atlases as TopicImaging, Three-DimensionalSoftwareBiomarkersHumansUser-Computer InterfaceBiomarkers

Identifiers

PMID40082611
PMCPMC11978508

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.