# Translational Control of Megakaryocyte and Platelet Gene Expression in Disease

> **NIH NIH R35** · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · 2021 · $913,733

## Abstract

Overall Summary/Abstract
This Outstanding Investigator Award R35 program addresses previously-unexplored mechanisms by which
regulation of gene expression at the translational level controls the functions of megakaryocytes and platelets,
in the setting of health and disease. Studies will employ basic and clinical investigations in humans and mice to
comprehensively determine how translational pathways that converge on Eukaryotic Initiation Factor 4E
(eIF4E) regulate megakaryocyte and platelet biology. Roles for translational control pathways in
megakaryocytes have not previously been studied, their functional significance in circulating platelets is
uncertain, and it is unknown how disease situations alter translational responses of megakaryocytes and
platelets. Thus, successful completion of the research objectives will fill key gaps in knowledge that need to be
addressed in heart, lung, and blood research. Results generated will also determine if translational control
pathway inhibitors, which are currently being tested in the clinic, have off-target effects on megakaryocytes and
platelets.

## Key facts

- **NIH application ID:** 10077489
- **Project number:** 5R35HL145237-03
- **Recipient organization:** UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH
- **Principal Investigator:** Andrew S Weyrich
- **Activity code:** R35 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $913,733
- **Award type:** 5
- **Project period:** 2019-01-01 → 2021-12-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10077489

## Citation

> US National Institutes of Health, RePORTER application 10077489, Translational Control of Megakaryocyte and Platelet Gene Expression in Disease (5R35HL145237-03). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10077489. Licensed CC0.

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