Project 2 Multiscale spatial and temporal dynamics of yeast colony development Introduction. In living systems, the characteristics of an individual, including traits such as susceptibility to disease or response to therapy, are determined by the coupling of processes that function at different scales of organization. For example, an individual's DNA sequence constrains the molecular networks that govern its cellular states and behaviors, which in turn determine the form and functions of multi-cellular structures. Microorganisms, including the yeast Saccharomyces cerevisiae, are traditionally used as models for investigating basic cellular processes at the unicellular level. However, unicellular organisms can form multi-cellular communities and differentiate into specialized structures to benefit the population. In some wild isolates of S. cerevisiae colonies (which start from a single cell and divide mitotically to become a structure of -10[8] cells) undergo a morphological transition characterized by complex patterns of

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Specialized Center (P50)
Project #
5P50GM076547-07
Application #
8539497
Study Section
Special Emphasis Panel (ZGM1-CBCB-3)
Project Start
Project End
Budget Start
2013-09-01
Budget End
2014-08-31
Support Year
7
Fiscal Year
2013
Total Cost
$452,635
Indirect Cost
$170,176
Name
Institute for Systems Biology
Department
Type
DUNS #
135646524
City
Seattle
State
WA
Country
United States
Zip Code
98109
Wurtmann, Elisabeth J; Ratushny, Alexander V; Pan, Min et al. (2014) An evolutionarily conserved RNase-based mechanism for repression of transcriptional positive autoregulation. Mol Microbiol 92:369-82
Sangar, Vineet; Funk, Cory C; Kusebauch, Ulrike et al. (2014) Quantitative proteomic analysis reveals effects of epidermal growth factor receptor (EGFR) on invasion-promoting proteins secreted by glioblastoma cells. Mol Cell Proteomics 13:2618-31
Tyler, Anna L; Crawford, Dana C; Pendergrass, Sarah A (2014) Detecting and Characterizing Pleiotropy: New Methods for Uncovering the Connection Between the Complexity of Genomic Architecture and Multiple phenotypes. Pac Symp Biocomput :183-187
Mohamadlou, Hamid; Shope, Joseph C; Flann, Nicholas S (2014) Maximizing Kolmogorov Complexity for accurate and robust bright field cell segmentation. BMC Bioinformatics 15:32
Ashworth, Justin; Plaisier, Christopher L; Lo, Fang Yin et al. (2014) Inference of expanded Lrp-like feast/famine transcription factor targets in a non-model organism using protein structure-based prediction. PLoS One 9:e107863
Carpp, Lindsay N; Rogers, Richard S; Moritz, Robert L et al. (2014) Quantitative proteomic analysis of host-virus interactions reveals a role for Golgi brefeldin A resistance factor 1 (GBF1) in dengue infection. Mol Cell Proteomics 13:2836-54
Kusebauch, Ulrike; Deutsch, Eric W; Campbell, David S et al. (2014) Using PeptideAtlas, SRMAtlas, and PASSEL: Comprehensive Resources for Discovery and Targeted Proteomics. Curr Protoc Bioinformatics 46:13.25.1-13.25.28
Schoggins, John W; MacDuff, Donna A; Imanaka, Naoko et al. (2014) Pan-viral specificity of IFN-induced genes reveals new roles for cGAS in innate immunity. Nature 505:691-5
Vialas, Vital; Sun, Zhi; Loureiro y Penha, Carla Veronica et al. (2014) A Candida albicans PeptideAtlas. J Proteomics 97:62-8
Kusebauch, Ulrike; Ortega, Corrie; Ollodart, Anja et al. (2014) Mycobacterium tuberculosis supports protein tyrosine phosphorylation. Proc Natl Acad Sci U S A 111:9265-70

Showing the most recent 10 out of 186 publications