Publications

Found 10 results
Title Type [ Year(Asc)]
Filters: Keyword is Saccharomyces cerevisiae  [Clear All Filters]
2015
Bryson BD, Del Rosario AM, Gootenberg JS, Yaffe MB, White FM. Engineered bromodomains to explore the acetylproteome. Proteomics. 2015;15(9):1470-5.
Angelini A, Chen TF, de Picciotto S, Yang NJ, Tzeng A, Santos MS, Van Deventer JA, Traxlmayr MW, K Wittrup D. Protein Engineering and Selection Using Yeast Surface Display. Methods Mol Biol. 2015;1319:3-36.
2013
Rock JM, Lim D, Stach L, Ogrodowicz RW, Keck JM, Jones MH, Wong CCL, Yates JR, Winey M, Smerdon SJ, Yaffe MB, Amon A. Activation of the yeast Hippo pathway by phosphorylation-dependent assembly of signaling complexes. Science. 2013;340(6134):871-5.
Berchowitz LE, Gajadhar AS, van Werven FJ, De Rosa AA, Samoylova ML, Brar GA, Xu Y, Xiao C, Futcher B, Weissman JS, White FM, Amon A. A developmentally regulated translational control pathway establishes the meiotic chromosome segregation pattern. Genes Dev. 2013;27(19):2147-63.
Mazumder A, Pesudo LQ, McRee S, Bathe M, Samson LD. Genome-wide single-cell-level screen for protein abundance and localization changes in response to DNA damage in S. cerevisiae. Nucleic Acids Res. 2013;41(20):9310-24.
Tuncbag N, Braunstein A, Pagnani A, Huang S-SC, Chayes J, Borgs C, Zecchina R, Fraenkel E. Simultaneous reconstruction of multiple signaling pathways via the prize-collecting steiner forest problem. J Comput Biol. 2013;20(2):124-36.
2012
Svensson JP, Fry RC, Wang E, Somoza LA, Samson LD. Identification of novel human damage response proteins targeted through yeast orthology. PLoS One. 2012;7(5):e37368.
Gosline SJC, Spencer SJ, Ursu O, Fraenkel E. SAMNet: a network-based approach to integrate multi-dimensional high throughput datasets. Integr Biol (Camb). 2012;4(11):1415-27.
Huang S-SC, Fraenkel E. Swimming upstream: identifying proteomic signals that drive transcriptional changes using the interactome and multiple "-omics" datasets. Methods Cell Biol. 2012;110:57-80.
2009
Huang S-SC, Fraenkel E. Integrating proteomic, transcriptional, and interactome data reveals hidden components of signaling and regulatory networks. Sci Signal. 2009;2(81):ra40.