Gross chromosomal rearrangements (GCRs) are mutations known to underlie many genetic diseases. The accumulation of GCRs is a type of increased genome instability seen in many cancers and likely represents a type of mutator phenotype. Some inherited cancer susceptibility syndromes result from genetic defects that cause increased accumulation of GCRs in model systems, although whether defects in these genes drive the development of sporadic cancers is less clear. While many DNA repair and damage response pathways thought to play a role in preventing genome instability have been studied, a comprehensive understanding of the genes, pathways and mechanisms that prevent genome instability is not available. Understanding these mechanisms will impact on human health for several reasons: 1) Identifying genes that suppress GCRs will provide tools to identify causes of genome instability in cancer; and 2) Genome instability is a potential therapeutic target for cancer and understanding pathways that suppress genome instability will provide a rational basis for developing novel cancer diagnostics and therapeutic approaches. The goal of this proposal is to use Saccharomyces cerevisiae to identify genes, pathways and mechanisms that suppress GCRs. Key related objectives are to identify chromosomal features and aberrant DNA repair mechanisms that contribute to the formation of GCRs and to identify human genes in which defects cause genome instability in cancer. The proposed studies will build on the results of work supported by this project that have resulted in innovative assays for studying GCRs and have identified numerous genome instability suppressing (GIS) genes and cooperating GIS genes that suppress the accumulation of GCRs in S. cerevisiae. The following lines of research will be carried out: 1) Robotic-based genetic analysis will be performed to extend the already identified GCR suppressing genetic network by incorporating data generated with hypomorphic mutations in essential genes and data on activation of DNA damage response genes in single and double mutants with and without increased genome instability; 2) Genetic studies and whole genome sequencing will be used to identify the genes and mechanisms that specifically suppress or promote GCRs mediated by the formation of DNA hairpins and by genomic features including segmental duplications and short repeated sequences; 3) The mechanistic features of selected pathways that suppress GCRs will be investigated, initially focusing on Casein Kinase II, Exonuclease 1 and RNase H2, and subsequently on DNA replication and chromosome cohesion/condensing pathways; and 4) Human homologues of the S. cerevisiae GIS genes will be used to mine available cancer genomics data sets to identify essential and non-essential genes in which defects cause genome instability in cancer. These studies will provide a comprehensive picture of the pathways and mechanisms that prevent GCRs and provide insights into the origin of genome instability in cancer.

Public Health Relevance

Inherited defects in genes that suppress genome instability result in the accumulation of gross chromosomal rearrangements (called GCRs) and cause different inherited cancer susceptibility syndromes; additionally, ongoing accumulation of GCRs appears to occur in many types of sporadic human cancer. This project will identify the genes and pathways that suppress genome instability and elucidate the mechanisms by which accumulation of GCRs is prevented. These insights will facilitate evaluating the basis for genome instability in cancer and lead to development of improved cancer diagnostics and therapeutic approaches that target genome instability.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM026017-43
Application #
9679493
Study Section
Molecular Genetics B Study Section (MGB)
Program Officer
Reddy, Michael K
Project Start
1978-12-01
Project End
2022-03-31
Budget Start
2019-04-01
Budget End
2020-03-31
Support Year
43
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Ludwig Institute for Cancer Research Ltd
Department
Type
DUNS #
627922248
City
La Jolla
State
CA
Country
United States
Zip Code
92093
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