# A Spatially resolved molecular Atlas of Human Endothelium

> **NIH NIH U54** · CALIFORNIA INSTITUTE OF TECHNOLOGY · 2020 · $243,300

## Abstract

ABSTRACT - DATA ANALYSIS CORE
 The human circulatory system is comprised of diverse cell types which engage in molecular interactions
with every tissue and cell type in the human body. Endothelial cells are specialized into arterial, venous,
lymphatic, and capillary types, and these in turn may be highly specialized by organ or organ zone. Identifying
the myriad cell types and subtypes of the vascular system in single-cell transcriptomic, epigenomic, or ​in situ
expression data is therefore a daunting challenging. Defining the spatial patterns in gene regulation across
vascular cells, and dissecting the molecular basis of interactions between them and other cell types requires
rigorous statistical methods that operate on large-scale datasets. The Data Analysis Core will address these
challenges. The Data Analysis Core (DAC) of the ​Caltech-UW Tissue Mapping Center (TMC) will be led by Dr.
Cole Trapnell. It will be responsible for analyzing all data from the TMC and for developing standardized
bioinformatic pipelines that conform to standards adopted by the HIVE and wider HubMAP Consortium. The
DAC pipeline will accept as input single-cell RNA-seq, single-cell ATAC-seq, and seqFISH images and
produce as output multiparameter images that are organized into an integrated, 3D molecular atlas of the
human vasculature. The DAC will also define patterns of organ-specific and age-dependent molecular variation
across cells. Finally, the DAC will work closely with the Coordination Core to ensure that our map of the human
vasculature is smoothly integrated into the wider Human BioMolecular Atlas.

## Key facts

- **NIH application ID:** 9966767
- **Project number:** 5U54HL145611-03
- **Recipient organization:** CALIFORNIA INSTITUTE OF TECHNOLOGY
- **Principal Investigator:** Long Cai
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $243,300
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9966767

## Citation

> US National Institutes of Health, RePORTER application 9966767, A Spatially resolved molecular Atlas of Human Endothelium (5U54HL145611-03). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9966767. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*