# Spectroscopy and Imaging

> **NIH NIH P50** · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · 2020 · $255,602

## Abstract

ABSTRACT
This Core provides a range of biophysical, spectroscopy, and imaging technologies for characterizing HIV
components, host cell factors, and their interactions in solution, cells, and animals. These capabilities allow us
to study HIV and host components at all scales of resolution, from atomic-resolution structural analyses to
whole-organism pathogenesis in vivo. As we have previously done, we will use a suite of biophysical
approaches to characterize the biophysical properties and interaction energetics of HIV and host
macromolecules.1-10 Structures and conformations of host proteins and HIV proteins and RNA are also
investigated using NMR spectroscopy.7,8,10-22 Fluorescence imaging is used in single-molecule studies of the
composition, conformation, and activities of viral and cellular machines23-26, and is also used to track and
visualize the dynamics of single-cell infection events.27-29 Finally, HIV pathogenesis will be studied at the
resolution of whole-animal infections using a variety of in vivo imaging techniques (non-invasive
bioluminescence, fluorescence, and PET imaging) at the tissue and cellular level (intravital imaging and light
microscopy of clarified samples) and at molecular resolution (tissue electron tomography).30-36

## Key facts

- **NIH application ID:** 9993251
- **Project number:** 5P50AI150464-14
- **Recipient organization:** UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH
- **Principal Investigator:** Debra Muir Eckert
- **Activity code:** P50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $255,602
- **Award type:** 5
- **Project period:** 2007-08-27 → 2022-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9993251

## Citation

> US National Institutes of Health, RePORTER application 9993251, Spectroscopy and Imaging (5P50AI150464-14). Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/grant/nih/9993251. Licensed CC0.

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