This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Cotranslational translocation of nascent polypeptides through the Sec61 translocon is an essential step in the processing of secreted membrane proteins. For translating proteins to gain access to the ER lumen, the translocon must first recognize a protein's signal sequence. Previously, our lab has identified certain cyclic heptadepsipeptides, called cotransins, as the first small molecule inhibitors of cotranslational translocation. remarkably, cotransins inhibit translocation in a signal sequence-dependent manner. To date, only ~40 signal sequences have been tested for cotransin sensitivity resulting in few insights into the basis of sensitivity of resistance. Therefore, it is necessary to identify more target signal sequences that are sensitive or resistant to allow for more global comparisons. We intend to identify signal sequence characteristics that determine cotransin sensitivity by using an unbiased proteomics approach. By coupling membrane protein purification techniques and stable isotope labeling in cell culture (SILAC), we will quantify cotransin dependent changes in protein expression to determine the subset of membrane protein signal sequences that are sensitive to cotransin. By comparing sensitive signal sequences to insensitive ones, we will begin to understand the sequence requirements for cotransin sensitivity and uncover the mechanism by which these molecules distinguish between individual signal sequences.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR001614-29
Application #
8363827
Study Section
Special Emphasis Panel (ZRG1-BCMB-M (40))
Project Start
2011-06-01
Project End
2012-05-31
Budget Start
2011-06-01
Budget End
2012-05-31
Support Year
29
Fiscal Year
2011
Total Cost
$17,378
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