# Comprehensive reference atlas construction, geolocation and data integration for HuBMAP HIVE [5 of 5]

> **NIH NIH OT2** · NEW YORK GENOME CENTER · 2022 · $1,450,265

## Abstract

Abstract 
The Human BioMolecular Atlas Program (HuBMAP) is redefining our understanding of the human body by 
recovering multi-scale tissue organization--anatomical, histological, and molecular--at unprecedented resolution, 
through computational integration of diverse experimental measurements. The current HuBMAP HIVE has led 
the development of a human common coordinate framework (CCF); constructed molecularly and spatially 
resolved reference maps of human tissues; developed mapping frameworks for the interpretation of new 
datasets; and coordinated extensive collaborative activities both within HuBMAP and with the broader 
community. In Y5-8, we will construct a Human Reference Atlas (HRA), establishing the HuBMAP Portal as the 
“go-to” resource for human tissue reference maps and multimodal single-cell data. We propose a Mapping 
Center to build upon our progress in Y1-4, and achieve these goals. Our center represents a synergistic 
collaboration between three labs, Dr. Rahul Satija (NYGC/NYU), Dr. John Marioni (EMBL/EBI), and Dr. Jean 
Fan (JHU). Our Mapping Center proposes to lead a series of key tasks for HuBMAP. These include the 
construction of single-cell reference maps for 30 human tissues, where maps will be constructed by harmonizing 
a wide diversity of multimodal single-cell technologies. We also propose to lead the development of mapping 
tools that will enable users in the community to upload their own datasets and map them to HuBMAP references. 
Importantly, these tools will not be limited to single-cell RNA sequencing datasets, but will be extended to process
datasets that measure chromatin accessibility, chromatin modifications, DNA methylation, intracellular and 
surface protein levels, and metabolic profiles as well. We also propose to lead the development of statistical 
methods to perform comparative analysis of multiple datasets. This will enable key use-cases for users both 
within and outside of HuBMAP, including the ability to perform comparative analysis of healthy vs. diseased 
tissue. We expect our MC to work together with and lead the HubMAP community to a deeper understanding of 
the functional organization of human tissues and, and to explore how molecular state, environment, and 
anatomical location, affect cellular identity and behavior.

## Key facts

- **NIH application ID:** 10534563
- **Project number:** 1OT2OD033760-01
- **Recipient organization:** NEW YORK GENOME CENTER
- **Principal Investigator:** John Carlo Marioni
- **Activity code:** OT2 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $1,450,265
- **Award type:** 1
- **Project period:** 2022-08-01 → 2026-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10534563

## Citation

> US National Institutes of Health, RePORTER application 10534563, Comprehensive reference atlas construction, geolocation and data integration for HuBMAP HIVE [5 of 5] (1OT2OD033760-01). Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/grant/nih/10534563. Licensed CC0.

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