The UW Carbone Cancer Center (UWCCC) Cancer Genetics Program has
developed three strongly interacting facets that together generate
a modern discipline of genetics to analyze the biology of cancer
in experimental mammals and in humans. The essence of the discipline
of genetics is to understand the relationships between genotype
and phenotype.
Program
Leader (pictured left)
Michael
N. Gould
Co-Leader
Michael A. Newton, PhD
View all program participants
Contemporary genetics broadens the notion of genotype to include
both the constitutional and the somatic genotypes of the individual.
The power of contemporary molecular analysis similarly broadens
the notion of phenotype to include not only organismal features
(e.g., cancer or no cancer), but also molecular features (e.g.,
the transcriptome, proteome, and metabolome of the organism or of
a cell within the organism). One important variable that must be
related to both genotype and phenotype is the biological age of
the individual.
This contemporary view of the fundamental discipline of genetics
in molecular language has led to a recognition that understanding
the relationships between genotype and phenotype involves major
issues in biostatistics and bioinformatics. At the level of the
genotype, biostatistics and bioinformatics are becoming crucial
in the structural analysis of mammalian genomes and in the formal
genetics of complex traits such as cancer, in experimental animals
and particularly in humans. At the level of the phenotype, biostatistics
and bioinformatics are necessary to interpret the genome-wide phenotypic
datasets of the transcriptome, proteome, and metabolome and to tease
out the meaning of enormous imaging files.
Program Profile
Membership:
23 members
20 departments
6
schools
Project Funding as of 9/2006 (direct costs):
Peer-reviewed |
$13.5 M
|
39
|
NCI |
$2.2 M |
8 |
NIH |
$10.5 M |
24 |
ACS |
$0.2 M |
1 |
NSF |
$ 0.6 M |
5 |
Other
P-R |
$0.03M |
1 |
| Non peer-reviewed |
$0.7M |
6 |
| Total |
$7.6M |
45 |
Scientific Goals
Three strongly interacting facets support the central theme of
the Cancer Genetics Program at the UWCCC: to understand the relationships
between cancer phenotype and genotype. The specific goals to be
addressed within these three synergistic facets of Cancer Genetics
are:
Mammalian and human genetics
- Murine models for human cancer and pathway/network analysis
- Modifier loci for resistance/susceptibility to particular
neoplasms
- Genetic/genomic stability factors
- Cytogenetics of cancer
- The role of oxidative stress in age-associated carcinogenesis
- Connections between murine models and human populations
Genomics and genetically indexed transcriptomics/proteomics/metabolomics
- Molecular mapping of the murine and human genomes in cancer
- Genetically-defined or age-stratified differential proteomic
and metabolomic analysis of tumors and body fluids, from murine
genetic models for human cancer
- Structural analysis of proteins guided by mutational validation
of function
Statistical genetics and informatics
- Positional cloning of loci with only quantitative phenotypic
effects
- Pattern analysis of tissue interactions in genetic chimeras
and mosaics
- Deconvolution of array data and complex tandem mass spectra
- The statistics of population association data
Significant Recent Discoveries
- Combination of genomic and proteomic analysis of molecular
interactions to deduce at least five distinct signaling steps
involved in the action of the aryl hydrocarbon receptor. (PLoS
Biol 2:E65, 2004)
- Creation of a rat kindred mutated in the gatekeeper gene for
colon cancer, Apc, showing a predisposition for colonic neoplasia.
(Cold Spring Harbor December 2005 Rat Genome Meeting)
- Use of new methods of spatial statistics with biological analysis
of chimeric Min mice to establish that early familial adenomas
are commonly polyclonal in structure. (Proc Natl Acad Sci USA
102:6960-5, 2005, A PNAS Cover citation)
- Analysis of the portion of the transcriptome differentially
expressed in white adipose tissue under conditions of longterm
caloric restriction, and discovery that the cancer-related gene
Hif-1α is among the 104 genes down-regulated by caloric
restriction. (J Nutr 136:343-52, 2006)
- Development of a revolutionary capacity called Optical Mapping
to detect aberrations in cancer genomes from very small numbers
of cells. (Science, submitted 2006)
- Development of the capacity to detect single cleaved DNA
molecules on surfaces and demonstrated surface invasive cleavage
for the multiplex analysis of genetic markers, pointing the
way toward sensitive and comprehensive analysis of variation
in whole genomes. (Anal Chem 77:6594-600, 2005 and Anal Chem
77:2400-5, 2005)
- Analysis of RecQ helicases involved in genomic stability has
shown that, among the human helicases, the Bloom’s Syndrome
molecule specifically carries the capacity to unwind double
Holliday junctions. (EMBO J 24:2679-87, 2005)
- Development of several modes of differential proteomic analysis
by mass spectrometry, including the analysis of the extent of
phosphorylation at individual sites in multiphosphorylated proteins.
(J Am Soc Mass Spectrom 15:647-53, 2004)
- Statistical analysis of microarray data, defining the conditions
that maximize the advantages of pooling mRNA samples. (J Comput
Biol 8:37-52, 2001. [recognized as a ‘highly cited article’ by ‘Web
of Science’; Google Scholar search shows 280 citations]
and Biostatistics 4:465-477, 2003)
- Invention of maskless array technology and development of
the capacity for creating thousands of gene sequences per day
be assembly of fragments eluted from chips. (Nucleic Acids Res
32:5011-8, 2004).
Recent Cancer Genetics Publications
Program Participants
Judd
M. Aiken, PhD
Alan Attie,
PhD
Christopher Bradfield, PhD
Franco Cerrina, PhD
Lara S. Collier, PhD
Mark
W. Craven, PhD
William
F. Dove, PhD
Norman Drinkwater, PhD
Michael N. Gould, PhD
Anne
E. Griep, PhD
James
L. Keck, PhD
Paul C. Marker, PhD |
Lorraine F. Meisner, PhD
Amy R. Moser, PhD
Michael A. Newton, PhD
C. David Page, PhD
Richard E. Peterson, PhD
Eric Sandgren, V.MD, PhD
David
Schwartz, PhD
Lloyd M. Smith, PhD
Michael
Sussman, PhD
Brian
S. Yandell, PhD
Ken
H. Young, MD, PhD |
|
|