# A biomolecular purification system for biophysical studies of protein synthesis

> **NIH NIH R01** · HUNTER COLLEGE · 2021 · $55,253

## Abstract

Abstract
Our research group seeks to understand the assembly and mechanism of eukaryotic protein
synthesis machinery in order to identify critical steps that contribute to the molecular mechanisms
that drive and regulate the translation of mRNA into proteins. To achieve this we have developed
experimental methods that combine (i) reconstitution of in vitro translation systems from highly
purified components; (ii) fluorescent site-specific labelling of these components and validation
that the labeled components are active; (iii) biophysical assays to determine the binding affinity
and kinetics of assembly of these complexes and (iv) expression of reporter mRNA to determine
the functional effects of these protein-nucleic acid interactions. Specifically we are examining the
roles of eIF4G1 and DAP5 in eIF4E-independent translation of mRNAs expressed under stress
conditions. We have developed a unique set of assays and combined our expertise with single
molecule fluorescent measurements done in Prof. Ruben Gonzalez' lab to provide new insights
into the mechanism and regulation of mRNA expressed under stress conditions. We are
requesting an AKTA purification system to obtain high quality samples necessary for our
experiments.

## Key facts

- **NIH application ID:** 10387206
- **Project number:** 3R01GM128239-03S1
- **Recipient organization:** HUNTER COLLEGE
- **Principal Investigator:** DIXIE J GOSS
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $55,253
- **Award type:** 3
- **Project period:** 2019-02-20 → 2023-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10387206

## Citation

> US National Institutes of Health, RePORTER application 10387206, A biomolecular purification system for biophysical studies of protein synthesis (3R01GM128239-03S1). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/10387206. Licensed CC0.

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