) The overall goal of this program remains the systematic and quantitative analysis of genome-wide patterns of gene expression in cancer. By using cDNA microarrays to study normal and cancer-derived human cell lines as well as tumors, a cumulative gene expression database will be expanded to increase the biological informativeness of gene expression patterns in cell lines, normal tissues and tumors. At the same time, such experiments will begin to characterize the biological roles of the many heretofore uncharacterized human genes on the arrays. A variety of experiments with cell lines are proposed whose results will facilitate biological interpretation of gene expression patterns found in tumors. Proposed experiments include studies of periodic gene expression in synchronized animal cells growing in culture; patterns of gene expression displayed by genes when stressed with starvation, heat, cold, radiation, etc; studies of changes in gene expression during long-term culture, and studies of gene expression patterns when cells are organizing themselves into rudimentary tissues. The program includes substantial improvements in the computational and analytical infrastructure, including further development of analytical algorithms as well as improved database, data archiving and data display systems. Finally, further technology development of the cDNA microarray technology is proposed.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA077097-06
Application #
6624730
Study Section
Special Emphasis Panel (ZCA1-SRRB-C (O2))
Program Officer
Jacobson, James W
Project Start
1997-09-30
Project End
2005-11-30
Budget Start
2002-12-01
Budget End
2003-11-30
Support Year
6
Fiscal Year
2003
Total Cost
$1,193,649
Indirect Cost
Name
Stanford University
Department
Genetics
Type
Schools of Medicine
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305
Hogan, Gregory J; Brown, Patrick O; Herschlag, Daniel (2015) Evolutionary Conservation and Diversification of Puf RNA Binding Proteins and Their mRNA Targets. PLoS Biol 13:e1002307
Lovejoy, Alexander F; Riordan, Daniel P; Brown, Patrick O (2014) Transcriptome-wide mapping of pseudouridines: pseudouridine synthases modify specific mRNAs in S. cerevisiae. PLoS One 9:e110799
Holmes, Kristen J; Klass, Daniel M; Guiney, Evan L et al. (2013) Whi3, an S. cerevisiae RNA-binding protein, is a component of stress granules that regulates levels of its target mRNAs. PLoS One 8:e84060
Klass, Daniel M; Scheibe, Marion; Butter, Falk et al. (2013) Quantitative proteomic analysis reveals concurrent RNA-protein interactions and identifies new RNA-binding proteins in Saccharomyces cerevisiae. Genome Res 23:1028-38
Salzman, Julia; Klass, Daniel M; Brown, Patrick O (2013) Improved discovery of molecular interactions in genome-scale data with adaptive model-based normalization. PLoS One 8:e53930
Tsvetanova, Nikoleta G; Riordan, Daniel P; Brown, Patrick O (2012) The yeast Rab GTPase Ypt1 modulates unfolded protein response dynamics by regulating the stability of HAC1 RNA. PLoS Genet 8:e1002862
Casolari, Jason M; Thompson, Michael A; Salzman, Julia et al. (2012) Widespread mRNA association with cytoskeletal motor proteins and identification and dynamics of myosin-associated mRNAs in S. cerevisiae. PLoS One 7:e31912
del Alamo, Marta; Hogan, Daniel J; Pechmann, Sebastian et al. (2011) Defining the specificity of cotranslationally acting chaperones by systematic analysis of mRNAs associated with ribosome-nascent chain complexes. PLoS Biol 9:e1001100
Riordan, Daniel P; Herschlag, Daniel; Brown, Patrick O (2011) Identification of RNA recognition elements in the Saccharomyces cerevisiae transcriptome. Nucleic Acids Res 39:1501-9
Salzman, Julia; Marinelli, Robert J; Wang, Peter L et al. (2011) ESRRA-C11orf20 is a recurrent gene fusion in serous ovarian carcinoma. PLoS Biol 9:e1001156

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