# Type I interferon-stimulated genes and the antiviral immune response

> **NIH NIH R01** · ROCKEFELLER UNIVERSITY · 2020 · $437,515

## Abstract

Project Summary/Abstract
Cells are hard-wired to detect viral pathogens and rapidly respond with a web of antiviral defense. Virus
detection leads to type I interferon (IFN) production and signaling, ultimately resulting in transcription of
hundreds of IFN-stimulated genes (ISGs). Collectively, ISGs establish a strikingly potent antiviral state;
however, viruses have evolved ways to antagonize IFN production and signaling shortly after infection. The
host's need for speed in responding to infection is therefore paramount. We hypothesize that an important and
understudied mechanism that cells use to rapidly respond to infection prior to the production of ISGs is by
altering their cellular “translatome”—in other words, by rapidly altering the translation of pre-existing mRNAs to
facilitate a robust antiviral response. We propose to fill this knowledge gap by using two powerful techniques to
measure translation efficiency and nascent protein synthesis: ribosome profiling and mass spectrometry.
Further, we will continue characterizing two ISGs, MOV10 and ADAR1, that were identified in our previous ISG
screens. Our results indicate that both ISGs are likely to impact mRNA translation during the innate immune
response. These studies will broaden and deepen our knowledge of the antiviral response in novel ways.

## Key facts

- **NIH application ID:** 10104962
- **Project number:** 3R01AI091707-10S1
- **Recipient organization:** ROCKEFELLER UNIVERSITY
- **Principal Investigator:** Charles M Rice
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $437,515
- **Award type:** 3
- **Project period:** 2020-04-23 → 2021-02-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10104962

## Citation

> US National Institutes of Health, RePORTER application 10104962, Type I interferon-stimulated genes and the antiviral immune response (3R01AI091707-10S1). Retrieved via AI Analytics 2026-06-11 from https://api.ai-analytics.org/grant/nih/10104962. Licensed CC0.

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