# Core C

> **NIH NIH P01** · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 2024 · $248,324

## Abstract

ABSTRACT
Droplet-based single cell transcriptome sequencing (scRNA-seq) technology is able to measure the gene
expression from tens of thousands of single cells simultaneously. More recently, coupled with cutting-edge
Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) and Cell Hashing technology,
the droplet-based system has allowed for immunophenotyping of single cells based on cell surface expression
of specific proteins together with simultaneous transcriptome profiling in the same cell. These cutting-edge
technologies have transformed biomedical research. The proposed two projects in this P01 renewal will apply
these single-cell genomics tools to further characterize the molecular signature of severe asthma patients and
advance our knowledge of underlying pathobiological characteristics. Bioinformatics and sequencing Core C
will provide full support to both projects with the knowledge from the best single cell experiment and
bioinformatics practice in the field. With the similar responsibility of Core C in the previous cycle, our core will
continue providing high-quality services of cutting-edge single cell experiments and advanced bioinformatics
analysis. In addition to classic analysis, Core C will develop new computational tools to analyze single-cell
multi-omics data and integrate multi-modal data with clinical phenotypes from both projects. Specifically, the
aims of our team are to: (1) perform bulk RNA-seq, TCR-seq, scRNA-seq and CITE-seq experiments, (2)
perform data processing and advanced bioinformatic analysis of multi-omics data, and (3) develop novel and
tailored computational methods for integrative analysis of multi-omics single cell data. To achieve our goals,
we have assembled a multidisciplinary team with outstanding expertise in asthma research, single-cell
technology, bioinformatics, and computational immunology. Our pioneering work should generate precious
genomics data, enhance our understanding of asthma pathogenesis, and provide new biological insights to
prevent, diagnose, and treat severe asthma.

## Key facts

- **NIH application ID:** 10829840
- **Project number:** 5P01AI106684-08
- **Recipient organization:** UNIVERSITY OF PITTSBURGH AT PITTSBURGH
- **Principal Investigator:** Wei Chen
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $248,324
- **Award type:** 5
- **Project period:** 2015-06-01 → 2027-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10829840

## Citation

> US National Institutes of Health, RePORTER application 10829840, Core C (5P01AI106684-08). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10829840. Licensed CC0.

---

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