A cloud platform to share and explore detailed maps of human tissues

Flexible Hybrid Cloud Infrastructure for Seamless Integration and Use of Human Biomolecular Data and Reference Maps [1 of 5]

NIH-funded research Carnegie-Mellon University · NIH-11376865

Building a shared online system that brings together high-resolution maps of human tissues so researchers and clinicians can better understand health and disease.

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionCarnegie-Mellon University NIH-funded
Lab location1 site (Pittsburgh, United States)
Project IDNIH-11376865 on NIH RePORTER

What this research studies

This project creates tools and cloud infrastructure to combine many types of tissue measurements into a single, searchable Human Reference Atlas. Teams will collect and standardize molecular and spatial data from human tissue samples, build a common coordinate framework to locate cells and structures, and make interactive visualizations on the HuBMAP portal. The work is a collaboration among universities and supercomputing centers to ensure the system scales and stays open to the community. Patients can expect that data from donated tissues will be integrated into maps that researchers worldwide can use.

Who could benefit from this research

Good fit: Ideal participants are people willing to donate tissue or clinical data through partner centers (for example during surgery or biopsy) or who enroll in linked tissue-collection efforts.

Not a fit: This project does not provide direct medical care or experimental treatments, so people seeking immediate clinical benefits are unlikely to benefit directly.

Why it matters

Potential benefit: If successful, these shared tissue maps could help scientists find where key molecules and cells are located in healthy and diseased tissues, speeding discovery of new diagnostics and therapies.

How similar studies have performed: Related atlas efforts like the Human Cell Atlas and organ-specific atlases have produced useful reference data, but this project focuses on broader multimodal integration and scalable cloud access, making the approach partly proven but also novel in scope.

Where this research is happening

Pittsburgh, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.