# Mechanisms and optimization of endosomal escape for delivery applications

> **NIH NIH R01** · TEXAS A&M AGRILIFE RESEARCH · 2020 · $289,171

## Abstract

PROJECT SUMMARY/ABSTRACT
Title: Mechanisms and optimization of endosomal escape for cell delivery applications
 Controlled manipulation of cells through the precise intracellular delivery of biologically
active materials has been a long-term goal for probing of cellular mechanisms and therapeutic
interventions. Cellular delivery is however a problem that has not yet been solved. Most
techniques remain inefficient, are disruptive to cells and can be toxic. Furthermore, no single
approach works for all macromolecular cargo, across cell types, or in every context (e.g. cell
cultures vs in vivo). This problem is exacerbated by emerging biological applications
continually pushing the boundaries of required delivery efficiencies and versatility (e.g.
CRISPR-Cas9 technologies). This project aims to reveal fundamental mechanisms of how to
permeate cellular membranes, enabling precise control of the molecules that achieve this cell
permeation, and to develop new platforms for cellular delivery. Thus, the proposed studies will
significantly advance both understanding and solutions to the cell delivery problem.

## Key facts

- **NIH application ID:** 9928443
- **Project number:** 5R01GM110137-06
- **Recipient organization:** TEXAS A&M AGRILIFE RESEARCH
- **Principal Investigator:** Jean-Philippe Pellois
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $289,171
- **Award type:** 5
- **Project period:** 2015-06-01 → 2023-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9928443

## Citation

> US National Institutes of Health, RePORTER application 9928443, Mechanisms and optimization of endosomal escape for delivery applications (5R01GM110137-06). Retrieved via AI Analytics 2026-05-21 from https://api.ai-analytics.org/grant/nih/9928443. Licensed CC0.

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