# Core 2: Immune Bioinformatics and Computational Biology Core

> **NIH NIH P01** · YALE UNIVERSITY · 2023 · $134,367

## Abstract

PROJECT SUMMARY (IMMUNE BIOINFORMATICS AND COMPUTATIONAL BIOLOGY CORE) 
The overall goal of this P01 proposal is to apply a systematic approach to understanding mechanisms of 
immune resistance that can guide the rational design of novel combinatorial immunotherapies to effectively 
treat head and neck squamous cell carcinoma (HNSCC) patients. To accomplish this goal, we will use several 
cutting-edge bioinformatics strategies on data from bulk and single cell RNA sequencing (scRNA-seq), 
epigenomics assays, and exome sequencing, as well as biostatistics analysis of clinical trial data. Our team 
has complementary expertise encompassing HNSCC genetics and biology, innate and adaptive immune 
response, immune bioinformatics, single cell dynamics and the analysis of scRNA-seq, cancer epigenomics 
and genome-wide regulatory data, and HNSCC clinical trial data analyses. The objective of the Immune 
BioInformatics and Computational Biology (IBCB) Core is to provide, disease-specific comprehensive 
and innovative support to the P01 investigators for the study design, analysis, integration and 
interpretation of a broad range of omics-based and clinical trial studies. 
The IBCB Core will support the three projects of the P01 through four specific aims. First, we will recommend 
strategies for study design and provide analyses specific to immune bioinformatics. This includes, but is not 
limited to, mutational burden analysis and neoantigen prediction, analysis of HLA class I alleles, and immune 
cell type deconvolution. The second aim is to provide expertise for study design and perform various analyses 
and methods development for single cell bioinformatics. We will utilize several recently developed scRNA-seq 
methods for QC, batch correction and normalization, imputation, innovative visualizations, automatic cell type 
identification, and differential expression testing. The third aim is to provide consultation on experimental 
design and provide analyses for epigenomics data. We will analyze genome-wide DNA methylation and 
transcriptomics data before and after different immune checkpoint blockade (ICB) therapeutic regimens. Aim 
four is to provide advanced biostatistics and bioinformatics support for clinical trial analyses, power analyses, 
and other bioinformatics support not mentioned above, including data management, transparency, and data 
sharing.

## Key facts

- **NIH application ID:** 10690607
- **Project number:** 7P01CA240239-05
- **Recipient organization:** YALE UNIVERSITY
- **Principal Investigator:** Maureen Agnes Sartor
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $134,367
- **Award type:** 7
- **Project period:** 2019-09-19 → 2026-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10690607

## Citation

> US National Institutes of Health, RePORTER application 10690607, Core 2: Immune Bioinformatics and Computational Biology Core (7P01CA240239-05). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10690607. Licensed CC0.

---

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