# Biology

> **NIH NIH P50** · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · 2020 · $175,876

## Abstract

ABSTRACT
The Biology Core provides technical support and generates advanced biological reagents that support
mechanistic and structural studies of HIV-1 replication and transmission. Capabilities in virology include access
to standard reporter viruses and vectors, infectivity assays, custom fluorescently- and luciferase-labeled
viruses for imaging in tissues and animals1-7, protocols for selecting resistance to anti-retroviral drugs and
restriction factors8, and the ability to purify HIV-1 virions and cores for biochemical and structural studies.9-12
Cell biology resources include infectable cell lines and primary cells, models for viral latency13-15, the ability to
deplete and characterize host factors using RNA interference and CRISPR/Cas9 approaches16-18, and the
generation of cell lines that express exogenous and/or fluorescently-labeled proteins, as well as capabilities in
proteomics and advanced imaging. Humanized mouse models19-24 are also used, together with labeled
replicating viruses, to study replication and dissemination in vivo.4 Finally, viral replication and cell biology can
be studied in several primate models, including SHIV-infected early foci in infected macaque tissues, and
human mucosal cells and tissues for studies of HIV-1 transmission and restriction.25-31

## Key facts

- **NIH application ID:** 9993253
- **Project number:** 5P50AI150464-14
- **Recipient organization:** UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH
- **Principal Investigator:** WESLEY I. SUNDQUIST
- **Activity code:** P50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $175,876
- **Award type:** 5
- **Project period:** 2007-08-27 → 2022-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9993253

## Citation

> US National Institutes of Health, RePORTER application 9993253, Biology (5P50AI150464-14). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9993253. Licensed CC0.

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