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The Human BioMolecular Atlas Program (HuBMAP) is a transformative NIH Common Fund initiative dedicated to creating an open, global atlas of the human body at the cellular level. HuBMAP develops the tools, technology, and infrastructure needed to map healthy human tissues in unprecedented molecular detail.

Domains

biomedical, anatomy and development, biological systems, health, proteomics, genomics, systems biology

License

CC BY 4.0

Homepage

hubmap

Repository

GitHub

Infores ID

Unknown

FAIRsharing ID

Unknown

Product Summary

Products

From this Resource
ID Name URL Category Format Description
hubmap.data_portal HuBMAP Data Portal portal.hubmapconsortium.org Product mixed HuBMAP Data Portal providing access t...
hubmap.human_reference_atlas Human Reference Atlas humanatlas.io Product mixed Human Reference Atlas providing atlas...
hubmap.vitessce Vitessce vitessce.io GraphicalInterface Interactive data visualization tool f...
hubmap.workspaces HuBMAP Workspaces workspaces GraphicalInterface Interactive JupyterLab environments f...
hubmap.azimuth Azimuth azimuth.hubmapconsortium.org GraphicalInterface Single-cell RNA-seq and ATAC-seq anal...
hubmap.fusion FUSION fusion.hubmapconsortium.org GraphicalInterface Functional Unit State Identification ...
hubmap.antibody_validation_reports Antibody Validation Reports avr.hubmapconsortium.org Product Antibody validation reports for multi...
hubmap.data_ingest_portal Data Ingest Portal ingest.hubmapconsortium.org Product Data submission portal for registerin...
From other Resources
ID Name URL Category Format Description
ubkg.neo4j UBKG Neo4j Docker Distribution ubkg-downloads.xconsortia.org GraphProduct Turnkey neo4j distributions that depl...
ubkg.csv UBKG Ontology CSV Files ubkg-downloads.xconsortia.org GraphProduct csv Ontology CSV files that can be import...

Details

HuBMAP - Human BioMolecular Atlas Program

The Human BioMolecular Atlas Program (HuBMAP) is a transformative initiative by the NIH Common Fund that aims to develop an open, global atlas of the human body at the cellular level. This ambitious program brings together a diverse consortium of researchers, institutions, and organizations to create comprehensive maps of healthy human tissues with unprecedented molecular detail.

Overview

HuBMAP represents a paradigm shift in our understanding of human biology by providing spatially resolved maps of cellular organization and molecular signatures across diverse human tissues. The program integrates cutting-edge technologies in single-cell analysis, spatial biology, imaging, and data science to create a comprehensive reference atlas of the human body.

As of 2025, the HuBMAP Data Portal provides access to:

  • 310 Donors from diverse demographic backgrounds
  • 3,118 Samples across multiple tissue types
  • 4,742 Datasets representing various assay types
  • 31 Organs with detailed cellular characterization
  • 21 Collections of curated datasets

Mission and Goals

HuBMAP’s core mission is to:

  1. Develop and optimize technologies for mapping human tissues at cellular resolution
  2. Create comprehensive reference atlases of healthy human tissues
  3. Establish standardized protocols for tissue processing, data generation, and analysis
  4. Build open data resources accessible to the global research community
  5. Train the next generation of scientists in spatial biology and atlas construction

Key Features and Capabilities

Data Portal

The HuBMAP Data Portal serves as the central hub for discovering, visualizing, and downloading standardized single-cell and spatial tissue data. The portal offers:

  • Faceted search functionality for finding datasets by biological entities, organs, molecules, or cell types
  • Advanced data visualization through integrated tools like Vitessce
  • Bulk download capabilities via Globus and dbGaP
  • Interactive workspaces with JupyterLab environments
  • Global data products that aggregate datasets across multiple studies

Technology and Assays

HuBMAP employs a diverse array of state-of-the-art technologies:

  • Single-cell RNA sequencing (scRNA-seq)
  • Single-cell ATAC sequencing (scATAC-seq)
  • Spatial transcriptomics (Visium, MERFISH, seqFISH)
  • Multiplex imaging (CODEX, Cell DIVE, CyCIF)
  • Mass spectrometry imaging
  • Light sheet microscopy
  • Electron microscopy

Human Reference Atlas (HRA)

The Human Reference Atlas provides:

  • 3D reference organs with detailed anatomical structures
  • Cell type annotations and spatial relationships
  • Biomarker mappings for tissue characterization
  • Cross-species comparative data

Research Impact and Applications

HuBMAP data and tools are advancing scientific discovery across multiple domains:

Disease Research

  • Understanding cellular changes in disease states
  • Identifying therapeutic targets
  • Developing precision medicine approaches

Developmental Biology

  • Mapping tissue development and aging
  • Understanding cellular differentiation pathways
  • Studying regenerative processes

Drug Discovery

  • Identifying drug targets at cellular resolution
  • Understanding drug mechanisms and effects
  • Predicting drug responses

Computational Biology

  • Developing new analytical methods
  • Creating predictive models
  • Advancing machine learning applications

Data Standards and Interoperability

HuBMAP follows FAIR principles (Findable, Accessible, Interoperable, Reusable) and implements:

  • Standardized metadata schemas for consistent data annotation
  • Quality control pipelines ensuring data reliability
  • Controlled vocabularies and ontology integration
  • Cross-platform compatibility with other atlas initiatives

Collaborative Network

The HuBMAP Consortium includes:

  • Tissue Mapping Centers (TMCs) specializing in specific organ systems
  • Rapid Technology Implementation (RTI) teams developing new methods
  • Integration, Visualization & Engagement (IVE) teams building tools and resources
  • Technology Development Centers advancing instrumentation and protocols

Data Access and Usage

All HuBMAP data is made freely available under Creative Commons Attribution 4.0 (CC BY 4.0) licensing, supporting:

  • Open science principles with unrestricted data access
  • Collaborative research across institutions and disciplines
  • Educational applications for training and outreach
  • Commercial applications fostering innovation and translation

Future Directions

HuBMAP continues to evolve with ongoing developments in:

  • Multi-modal data integration combining diverse assay types
  • Temporal mapping capturing dynamic cellular processes
  • Disease atlas construction extending beyond healthy tissues
  • Cross-consortium collaboration with international atlas initiatives
  • AI and machine learning applications for automated analysis

The program represents a foundational resource for understanding human biology and disease, providing the research community with unprecedented insights into cellular organization and function across the human body.


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Created: August 05, 2025 | Last modified: August 05, 2025