Understanding how cells decide their fate using advanced modeling and biology tools

Reprogramming cell-fate decisions through predictive modeling and synthetic biology

NIH-funded research University of California, San Diego · NIH-11170403

This project aims to understand how cells decide between different paths of damage and deterioration, which could offer new insights into conditions like cancer.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionUniversity of California, San Diego NIH-funded
Lab location1 site (La Jolla, United States)
Project IDNIH-11170403 on NIH RePORTER

What this research studies

Our bodies are made of cells, and sometimes these cells get damaged or deteriorate, which is a key part of many diseases, including cancer. This project uses advanced tools from synthetic biology and computational modeling to explore how cells make critical decisions about their fate. By studying yeast cells, which share many basic biological processes with human cells, we can learn how genes interact and change over time to influence cell damage and deterioration. The goal is to uncover the fundamental rules that govern these cell-fate decisions, helping us understand why cells sometimes go down harmful paths.

Who could benefit from this research

Good fit: This foundational research does not involve direct patient participation but aims to benefit individuals affected by diseases involving cell damage and deterioration, such as cancers.

Not a fit: Patients seeking immediate treatment options or direct clinical interventions would not find direct benefit from this basic science project.

Why it matters

Potential benefit: If successful, this work could provide foundational knowledge about cell damage and deterioration, potentially leading to new strategies for preventing or treating diseases like cancer in the future.

How similar studies have performed: This project builds on recent discoveries about cell deterioration pathways in yeast and leverages established synthetic biology and computational modeling techniques.

Where this research is happening

La Jolla, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions Cancers
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.