ArticleNature communications2025
Functional tissue units in the Human Reference Atlas.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Beyond benchmarking: an expert-guided consensus approach to spatially aware clustering.Nature methods · 2026Article
- Next-generation kidney tissue analysis - spatial omics and digital pathology.Nature reviews. Nephrology · 2026Review
- A multidisciplinary experimental and methodological investigation of electron and proton minibeams in the framework of the INFN MIRO project.Medical physics · 2026Article
- SPEAK: Spatial Prompting with Expert Aligned Knowledge for Tissue Domain Identification in Spatial Transcriptomics.bioRxiv : the preprint server for biology · 2026Article
- SMURF: soft-segmentation for single-cell reconstruction and topological analysis of spatial transcriptomic data.Nature communications · 2026Article
- Compositional and interpretable representation of histology using AI foundation models and sparse autoencoders.bioRxiv : the preprint server for biology · 2026Article
- Volumetric Cyclic Immunofluorescence for 3D Spatial Profiling of Immune Structures in Human FFPE Tissue.bioRxiv : the preprint server for biology · 2026Article
- DigitAb: Domain-Adaptive Cell Type Prediction Method from Light Microscopy Images.bioRxiv : the preprint server for biology · 2026Article
- Cell Type Populations for 3D Anatomical Structures of the Human Reference Atlas.Scientific data · 2026Article
- The Human Organ Atlas.Science advances · 2026Article
- SenNet Portal: Build, Optimization and Usage.bioRxiv : the preprint server for biology · 2026Article
- Multiscale segmentation using hierarchical phase-contrast tomography and deep learning.PLoS computational biology · 2026Article
- CCCdb: a comprehensive manually curated database for cell-cell communication in human and mouse.Nucleic acids research · 2026Article
- Beyond benchmarking: an expert-guided consensus approach to spatially aware clustering.bioRxiv : the preprint server for biology · 2025Article
- Exploring endothelial cell environments across organs in spatially resolved omics data.bioRxiv : the preprint server for biology · 2025Article
- Constructing and Using Cell Type Populations of the Human Reference Atlas.bioRxiv : the preprint server for biology · 2025Article
- The Human Organ Atlas.bioRxiv : the preprint server for biology · 2025Article
- Construction, Deployment, and Usage of the Human Reference Atlas Knowledge Graph.Scientific data · 2025Article
- Human BioMolecular Atlas Program (HuBMAP): 3D Human Reference Atlas construction and usage.Nature methods · 2025Article
- Construction, Deployment, and Usage of the Human Reference Atlas Knowledge Graph for Linked Open Data.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Functional tissue units form the basic building blocks of organs and are important for understanding and modeling the healthy physiological function of the organ and changes that occur during disease states. In this comprehensive catalog of 22 anatomically based, nested functional tissue units from 10 healthy human organs, we document the definition, physical dimensions, blood vasculature connections, and cellular composition. All anatomy terms are mapped to the multi-species Uber-anatomy Ontology (Uberon) and cells are mapped to Cell Ontology to support computational access via standardized metadata. The catalog includes datasets, illustrations, and a large printable poster illustrating how the blood vasculature connects the 22 functional tissue units in 10 organs. All data and code are freely available. The work is part of an ongoing international effort to construct a Human Reference Atlas of the 37 trillion cells that make up the healthy human body.
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Registered trials
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.