# Functions of BRCA1 and RAD51 Paralogs in Genome Stability and Tumor Suppression via Homologous Recombination

> **NIH NIH R01** · UNIVERSITY OF CALIFORNIA AT DAVIS · 2023 · $365,619

## Abstract

Project Summary/Abstract
 The broad objective of this proposal is to understand the molecular mechanism of homologous
recombination in humans, and to understand how the consequences of defects in recombinational DNA repair
result in chromosomal instability and predisposition to cancers. Understanding the functions of key proteins in
homologous recombination, many of which are tumor suppressors, will provide insight into how mutations in
these proteins can predispose individuals to cancer. We plan to elucidate the biochemical roles and examine
the mechanism of BRCA1, BLM, EXO1, PALB2, WRN, and the RAD51 paralogs (RAD51B, RAD51C,
RAD51D, XRCC2, and XRCC3) functions, as well as the consequences of the interactions between these
proteins, to provide insight into their role in recombinational DNA repair. We plan to reconstitute the initial steps
of human recombinational DNA repair, focusing on the DNA resection step, and thereby understand the
biochemical functions of these proteins. In addition, we will use single-molecule technologies to reveal the
molecular mechanisms by which these proteins act.

## Key facts

- **NIH application ID:** 10565421
- **Project number:** 1R01CA276290-01
- **Recipient organization:** UNIVERSITY OF CALIFORNIA AT DAVIS
- **Principal Investigator:** Stephen Charles Kowalczykowski
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $365,619
- **Award type:** 1
- **Project period:** 2023-03-01 → 2028-02-29

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10565421

## Citation

> US National Institutes of Health, RePORTER application 10565421, Functions of BRCA1 and RAD51 Paralogs in Genome Stability and Tumor Suppression via Homologous Recombination (1R01CA276290-01). Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/grant/nih/10565421. Licensed CC0.

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