# Immune determinants of pediatric HIV/SIV reservoir establishment and maintenance

> **NIH NIH P01** · EMORY UNIVERSITY · 2023 · $69,433

## Abstract

ABSTRACT – Bioinformatics Core
This proposed Program’s overarching scientific goal is to understand the immune determinants of pediatric HIV
reservoir establishment and maintenance. The objective of the Bioinformatics Core is to provide the backbone
structure for this Program for comprehensive large scale multiomic data integration, enabling granular yet
systems-wide analyses to understand pediatric HIV reservoirs. The advent of cutting-edge high-dimensional
single cell technologies - that rely on low blood or tissue input - is quickly aiding the development of tools that
can provide mechanistic insight into HIV in children and identify therapeutic targets for future curative
interventions. The Bioinformatics Core proposes three Specific Aims in support of this research Program. In
Aim 1, the Core will provide biostatistical support and sample/data management and tracking to the Project
members. The Core will leverage the Lab Inventory Management System (LIMS) – OpenSpecimen) offered via
the Emory University information technology infrastructure. In Aim 2, the Core will process and analyze
multiomic data generated by Program investigators using bioinformatics pipelines implementing best-practice
workflow for each omic. In Aim 3, the Bioinformatics Core will integrate multiomic datasets generated in
Projects 1-3. We will then be in a position to build host response network models that depict the metabolic and
immune response cascades that support the establishment and/or maintenance of HIV/SIV reservoirs. These
cascades will be used to build models that predict ways to perturb HIV persistence that can be confirmed in
independent test datasets. Each of the three Projects, while unique in focus, will employ similar and synergistic
methodology to generate big data on the pediatric immune environment. The Bioinformatics Core provides
expertise to combine these immunological, virological, and molecular datasets in meta-analyses and use
machine learning to develop models that give expansive insight into host immune determinants of viral
reservoirs. Altogether the Bioinformatics Core will provide a platform that will guide the identification and
experimental validation of therapeutic interventions that can help limit HIV reservoirs during childhood.

## Key facts

- **NIH application ID:** 10701469
- **Project number:** 1P01HD112217-01
- **Recipient organization:** EMORY UNIVERSITY
- **Principal Investigator:** Ashish Arunkumar Sharma
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $69,433
- **Award type:** 1
- **Project period:** 2023-04-01 → 2028-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10701469

## Citation

> US National Institutes of Health, RePORTER application 10701469, Immune determinants of pediatric HIV/SIV reservoir establishment and maintenance (1P01HD112217-01). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10701469. Licensed CC0.

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