# Single-Cell Transcriptomic and Epigenetics Core

> **NIH NIH P01** · UNIVERSITY OF CALIFORNIA, SAN DIEGO · 2020 · $305,727

## Abstract

SUMMARY-SINGLE CELL TRANSCRIPTOMICS AND EPIGENETICS CORE:
The Single-Cell Transcriptomics and Epigenetics (SCTE) Core will support all three Projects and the
Bioinformatics and Computational Biology (BCB) Core in generating robust single-cell transcriptomic and
small-cell-number epigenetic datasets as well as performing DNA-sequencing for interpretation of in vivo
shRNA-based functional screens. The SCTE Core will provide a centralized resource for generating single-cell
RNA-sequencing, histone modification ChIP-seq, transcription factor ChIP-seq, and ATAC-seq datasets.
Additionally, the SCTE Core will generate and analyze deep DNA-sequencing data to determine the
distribution of shRNAs among transduced CD8+ T cells in the context of the functional screens. We envision
that use of a single Core will increase rigor and reproducibility in experimental methodology, increase synergy
among investigators and laboratories, and enable direct comparison of the resulting datasets. Generation of
these datasets will enable the BCB Core and individual Projects to achieve the overall goal of elucidating the
molecular heterogeneity, transcriptional and epigenetic regulation, and function of tissue-resident CD8+ T cells
in the context of acute and chronic infection.
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## Key facts

- **NIH application ID:** 9960422
- **Project number:** 5P01AI132122-03
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN DIEGO
- **Principal Investigator:** Eugene Wei-Ming Yeo
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $305,727
- **Award type:** 5
- **Project period:** 2018-07-17 → 2023-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9960422

## Citation

> US National Institutes of Health, RePORTER application 9960422, Single-Cell Transcriptomic and Epigenetics Core (5P01AI132122-03). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9960422. Licensed CC0.

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