# Functional Cancer Cell Maps

> **NIH NIH R50** · UNIVERSITY OF CALIFORNIA, SAN DIEGO · 2021 · $127,035

## Abstract

FUNCTIONAL CANCER CELL MAPS
SUMMARY
I am currently an Academic Program Officer in Prof. Trey Ideker’s lab at UC San Diego. My title reflects the
varied roles I play in the Ideker Lab, both scientifically and administratively, as I also serve as the Assistant
Director of the Cancer Cell Map Initiative (CCMI) and the San Diego Center for Systems Biology (SDCSB). I
am involved in a wide range of research projects, both within the Ideker Lab and across the various Centers.
Central though to many of these efforts is the role I play supervising a number of projects using the
CRISPR/Cas9­based approach to map genetic interactions in cancer cells. These functional maps can be used
to identify protein complexes and pathways in cancer cells and to reveal genetic dependencies that might be
therapeutically tractable. These studies will also provide us with the necessary training data to build “visible”
AIs, machine learning models that not only make accurate predictions but also provide mechanistic insights.

## Key facts

- **NIH application ID:** 10220907
- **Project number:** 5R50CA243885-03
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN DIEGO
- **Principal Investigator:** Jason Francis Kreisberg
- **Activity code:** R50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $127,035
- **Award type:** 5
- **Project period:** 2019-09-11 → 2022-04-08

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10220907

## Citation

> US National Institutes of Health, RePORTER application 10220907, Functional Cancer Cell Maps (5R50CA243885-03). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10220907. Licensed CC0.

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