Computational Biostatistics and Network Modelling for Liver Transplant Immunoregulation
Official title: Computational Core: Biostatistical Analysis and Network Modelling
Funded at University of California Los Angeles · NIH-11594125 · Data updated 2026-11-12
A research team at UCLA will combine big data analysis, biostatistics, and network modelling to better understand how the immune system behaves after liver transplant injuries, with a focus on both animal models and human tissue.
Quick facts
| Grant type | P01 program project |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California Los Angeles NIH-funded |
| Lab location | 1 site (Los Angeles, United States) |
| Project start | August 1, 2017 |
| Project end | July 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $211,764 |
| NIH project number | 5P01AI120944-10 |
| Project ID | NIH-11594125 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients undergoing liver transplantation or who provide access to relevant human biopsy samples may be involved via data or sample analyses.
✕Less likely to help
Healthy volunteers or non-transplant patients are unlikely to directly benefit from this research.
What this research studies
This project brings together three research efforts and three core resources to analyze immune responses after liver transplant injury. It uses murine models to study innate and adaptive immune interactions and includes a project investigating human liver transplant samples. The Computational Core will manage data, preprocess high-throughput data, apply advanced statistics, and develop modeling approaches to integrate results across transplant types. The goal is to translate complex immune signals into a clearer picture of how ischemia/reperfusion injury influences graft acceptance or rejection.
Why it matters
Potential benefit: If successful, this work could improve understanding of transplant immune responses and inform strategies to protect liver grafts.
How similar studies have gone: Previous work in transplant immunology and computational modelling has yielded meaningful insights, but this project aims to integrate multiple data types for deeper understanding.
Where this research is happening
-
University of California Los Angeles
Los Angeles, United States Active
Researchers
- Principal investigator: Gjertson, David — University of California Los Angeles
- Study coordinator: Gjertson, David
Related research
Other NIH-funded projects on the same topics.
-
Understanding how genetic changes in blood cells relate to heart disease in people with HIV
A study will look at how age-related blood cell mutations and large chromosomal changes might contribute to heart disease risk in people living with HIV.
-
Systems genetics of vascular smooth muscle phenotypes in heart disease
Aims to understand how genetic differences influence vascular smooth muscle cells to improve prevention and treatment of coronary artery disease.
-
Motivation for Alcohol Use in Humans and How It Can Be Measured
This grant explores how people are motivated to drink alcohol and tests a safe, controlled way to study that motivation to inform better treatments for alcohol use disorder.
-
Overcoming CAR T cell resistance with tumor-targeted IL-12 to boost anti-tumor immunity
Aims to make CAR T cell therapy work better for solid tumors by using tumor-focused IL-12 to boost the body’s attack on cancer.
-
PediCODE: A Biorepository and Consortium for CoDE - Congenital Diarrhea and Enteropathy
A nationwide effort to collect clinical data and patient-derived samples to uncover the genetic causes of congenital diarrhea and enteropathy and to build a resource that helps researchers study these diseases.
-
Mentor Moms+: a community-led plan to cut alcohol use and HIV risk during pregnancy in South Africa
A community-based program adapts a trusted peer-led model to help pregnant and lactating people reduce alcohol use and HIV risk in South Africa.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.