Funded Research

Learn about HuBMAP funded research by exploring the PIs and Institutions.
Interactive Map

HuBMAP Integration, Visualization & Engagement (HIVE) Collaboratory [RFA-RM-18-001]

Funded Project PI Name Institute
Comprehensive, Flexible, and Fair Tools for the HuBMAP HIVE Ziv Bar-Joseph Carnegie-Mellon University
Benedict Paten University of California, Santa Cruz
Sarah Teichmann Wellcome Sanger Institute
Comprehensive Reference Map Construction, Geolocation and Data Integration for HuBMAP HIVE Rahul Satija New York Genome Center
John Marioni European Bioinformatics Institute
Flexible Hybrid Cloud Infrastructure for Seamless Management of HuBMAP Resources Nicholas Nystrom Pittsburgh Super Computing Center
Jonathan Silverstein University of Pittsburgh
HuBMAP HIVE Tools Component Nils Gehlenborg Harvard Medical School
The Human Body Atlas: High-Resolution, Functional Mapping of Voxel, Vector, and Meta Datasets Katy Börner Indiana University Bloomington


Tissue Mapping Centers (TMC) [RFA-RM-17-027]

Funded Project PI Name Institute
A 3D Tissue Map of the Human Lymphatic System Mark Atkinson University of Florida
Bernd Bodenmiller University of Zurich
Harry Nick University of Florida
A Spatially Resolved Molecular Atlas of Human Endothelium Long Cai California Institute of Technology
Jay Shendure University of Washington
Cole Trapnell University of Washington
KULMAP: Human Kidney, Urinary Tract, and Lung Mapping Center Kun Zhang University of California, San Diego
James Hagood University of North Carolina at Chapel Hill
Sanjay Jain Washington University School of Medicine
Peter Kharchenko Harvard Medical School
Xin Sun University of California, San Diego
Stanford Tissue Mapping Center Michael Snyder Stanford University
Garry Nolan Stanford University
Vanderbilt University Biomolecular Multimodal Imaging Center for 3-Dimensional Tissue Mapping Richard Caprioli Vanderbilt University
Jeffrey Spraggins Vanderbilt University


Transformative Technology Development (TTD) [RFA-RM-17-025]

Funded Project PI Name Institute
High-Throughput, Highly Multiplexed In Situ Proteomic Imaging of Human Tissues Peng Yin Harvard University
In Situ Transcriptome Profiling in Single Cells Long Cai California Institute of Technology
Guo-Cheng Yuan Harvard University
Next-Generation Genomic Imaging Technology Pehr Harbury Stanford University
Tushar Desai Stanford University
Novel Platform for Quantitative Subcellular Resolution Imaging of Human Tissues Using Mass Spectrometry Julia Laskin Purdue University


 

Return to Home.
Collaboration Portal