# UCSF COVID-19: Extended Immunophenotyping Studies

> **NIH NIH U19** · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2020 · $1,117,573

## Abstract

PROJECT SUMMARY/ABSTRACT
We propose to rapidly apply key assays of patient samples derived from IMPACC studies to
understand the critical features that characterize hospitalized patients with COVID-19, a pandemic
disease characterized by immune exacerbations of lung injury. These proposed studies are a natural
and focused extension of the work we are performing in the parent U19 award adapted to the urgent
medical need to better understand the pathogenesis of severe, life-threatening COVID-19 disease.
We propose 5 site-specific studies that are highly complementary to assays being performed by the
IMPACC national immunophenotyping cores here at UCSF and elsewhere. These include studies
that focus on both airway cells and blood immune cells (including neutrophils) and utilize a set of
innovative methods that allow for a detailed understanding of the nature and activation states of
specific cell types within the airway and the blood. These studies promise to yield new insights
relevant for understanding COVID-19 immunopathogenesis and predicting disease outcome and
response to therapy, and could lead to novel therapeutic targets for this devastating disease.

## Key facts

- **NIH application ID:** 10143010
- **Project number:** 3U19AI077439-13S1
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
- **Principal Investigator:** David J Erle
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $1,117,573
- **Award type:** 3
- **Project period:** 2020-05-08 → 2022-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10143010

## Citation

> US National Institutes of Health, RePORTER application 10143010, UCSF COVID-19: Extended Immunophenotyping Studies (3U19AI077439-13S1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10143010. Licensed CC0.

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