Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Specialized Center (P50)
Project #
3P50HG002370-01A1S1
Application #
6661507
Study Section
Special Emphasis Panel (ZHG1)
Project Start
2002-09-18
Project End
2003-06-30
Budget Start
Budget End
Support Year
1
Fiscal Year
2002
Total Cost
Indirect Cost
Name
Molecular Sciences Institute
Department
Type
DUNS #
City
Berkeley
State
CA
Country
United States
Zip Code
94704
Pesce, C Gustavo; Zdraljevic, Stefan; Peria, William J et al. (2018) Single-cell profiling screen identifies microtubule-dependent reduction of variability in signaling. Mol Syst Biol 14:e7390
Andrews, Steven S; Peria, William J; Yu, Richard C et al. (2016) Push-Pull and Feedback Mechanisms Can Align Signaling System Outputs with Inputs. Cell Syst 3:444-455.e2
Golemis, Erica A; Serebriiskii, Ilya; Finley Jr, Russell L et al. (2011) Interaction trap/two-hybrid system to identify interacting proteins. Curr Protoc Cell Biol Chapter 17:Unit 17.3.
Thomson, Ty M; Benjamin, Kirsten R; Bush, Alan et al. (2011) Scaffold number in yeast signaling system sets tradeoff between system output and dynamic range. Proc Natl Acad Sci U S A 108:20265-70
Golemis, Erica A; Serebriiskii, Ilya; Finley Jr, Russell L et al. (2011) Interaction trap/two-hybrid system to identify interacting proteins. Curr Protoc Neurosci Chapter 4:Unit 4.4
Pincus, David; Benjamin, Kirsten; Burbulis, Ian et al. (2010) Reagents for investigating MAPK signalling in model yeast species. Yeast 27:423-30
Andrews, Steven S (2009) Accurate particle-based simulation of adsorption, desorption and partial transmission. Phys Biol 6:046015
Yu, Richard C; Pesce, C Gustavo; Colman-Lerner, Alejandro et al. (2008) Negative feedback that improves information transmission in yeast signalling. Nature 456:755-61
Chernomoretz, Ariel; Bush, Alan; Yu, Richard et al. (2008) Using Cell-ID 1.4 with R for microscope-based cytometry. Curr Protoc Mol Biol Chapter 14:Unit 14.18
Yu, R C; Resnekov, O; Abola, A P et al. (2008) The Alpha Project: a model system for systems biology research. IET Syst Biol 2:222-33

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