This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Living cells interact with and respond to their environment through networks of proteins that transduce extracellular signals into specific biochemical responses inside the cell. Specificity within each pathway is essential for proper regulation of diverse cellular behaviors. Scaffold proteins have been suggested to contribute to specificity by tethering individual signaling proteins together into multi-protein complexes. Emerging evidence suggests that scaffold proteins can also play a more direct role in signal transmission by allosterically promoting specific kinase-kinase reactions and by undergoing conformational changes in response to upstream activators. To construct a physical model for how scaffold proteins promote specific kinase-kinase reactions, we will use a combination of kinetic and biophysical approaches. First, we will measure rate constants for individual kinase-kinase reactions in the presence and absence of scaffolds. Second, we will identify key surfaces and interactions required for scaffold action using crystallographic and biochemical methods. A necessary component of this project is the ability to determine if different protein samples have been phosphorylated, and to identify specific sites of phosphorylation in target proteins. The UCSF mass spectrometry facility will be instrumental in obtaining this information. These experiments will provide kinetic and thermodynamic framework for scaffold-mediated signal transduction, which will provide the basis for understanding how specificity is maintained in cell signaling.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR001614-27
Application #
7957436
Study Section
Special Emphasis Panel (ZRG1-BCMB-M (40))
Project Start
2009-06-01
Project End
2010-05-31
Budget Start
2009-06-01
Budget End
2010-05-31
Support Year
27
Fiscal Year
2009
Total Cost
$12,378
Indirect Cost
Name
University of California San Francisco
Department
Pharmacology
Type
Schools of Pharmacy
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94143
MacRae, Andrew J; Mayerle, Megan; Hrabeta-Robinson, Eva et al. (2018) Prp8 positioning of U5 snRNA is linked to 5' splice site recognition. RNA 24:769-777
Katsuno, Yoko; Qin, Jian; Oses-Prieto, Juan et al. (2018) Arginine methylation of SMAD7 by PRMT1 in TGF-?-induced epithelial-mesenchymal transition and epithelial stem-cell generation. J Biol Chem 293:13059-13072
Sahoo, Pabitra K; Smith, Deanna S; Perrone-Bizzozero, Nora et al. (2018) Axonal mRNA transport and translation at a glance. J Cell Sci 131:
Tran, Vy M; Wade, Anna; McKinney, Andrew et al. (2017) Heparan Sulfate Glycosaminoglycans in Glioblastoma Promote Tumor Invasion. Mol Cancer Res 15:1623-1633
Liu, Tzu-Yu; Huang, Hector H; Wheeler, Diamond et al. (2017) Time-Resolved Proteomics Extends Ribosome Profiling-Based Measurements of Protein Synthesis Dynamics. Cell Syst 4:636-644.e9
Bikle, Daniel D (2016) Extraskeletal actions of vitamin D. Ann N Y Acad Sci 1376:29-52
Twiss, Jeffery L; Fainzilber, Mike (2016) Neuroproteomics: How Many Angels can be Identified in an Extract from the Head of a Pin? Mol Cell Proteomics 15:341-3
Cil, Onur; Phuan, Puay-Wah; Lee, Sujin et al. (2016) CFTR activator increases intestinal fluid secretion and normalizes stool output in a mouse model of constipation. Cell Mol Gastroenterol Hepatol 2:317-327
Posch, Christian; Sanlorenzo, Martina; Vujic, Igor et al. (2016) Phosphoproteomic Analyses of NRAS(G12) and NRAS(Q61) Mutant Melanocytes Reveal Increased CK2? Kinase Levels in NRAS(Q61) Mutant Cells. J Invest Dermatol 136:2041-2048
Julien, Olivier; Zhuang, Min; Wiita, Arun P et al. (2016) Quantitative MS-based enzymology of caspases reveals distinct protein substrate specificities, hierarchies, and cellular roles. Proc Natl Acad Sci U S A 113:E2001-10

Showing the most recent 10 out of 630 publications