The Technology Core will play a major role in the Stanford Systems Biology Center by providing center researchers with the latest technology, training them in proper usage, and helping with experimental design. In addition, this core will be a very valuable asset to the national and international Systems Biology community since it will be a central place for disseminating knowledge, technology, and reagents from the Pis associated with this core who are all leaders in developing new cutting-edge approaches to monitor and perturb the signaling and transcriptional networks that control cell decision processes.

National Institute of Health (NIH)
Specialized Center (P50)
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Special Emphasis Panel (ZGM1)
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Stanford University
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Ferrell Jr, James E; Ha, Sang Hoon (2014) Ultrasensitivity part I: Michaelian responses and zero-order ultrasensitivity. Trends Biochem Sci 39:496-503
Rakhit, Rishi; Navarro, Raul; Wandless, Thomas J (2014) Chemical biology strategies for posttranslational control of protein function. Chem Biol 21:1238-52
Ahrends, Robert; Ota, Asuka; Kovary, Kyle M et al. (2014) Controlling low rates of cell differentiation through noise and ultrahigh feedback. Science 344:1384-9
Yamazoe, Sayumi; McQuade, Lindsey E; Chen, James K (2014) Nitroreductase-activatable morpholino oligonucleotides for in vivo gene silencing. ACS Chem Biol 9:1985-90
Matis, Maja; Russler-Germain, David A; Hu, Qie et al. (2014) Microtubules provide directional information for core PCP function. Elife 3:e02893
Niewiadomski, Pawel; Kong, Jennifer H; Ahrends, Robert et al. (2014) Gli protein activity is controlled by multisite phosphorylation in vertebrate Hedgehog signaling. Cell Rep 6:168-81
Ferrell Jr, James E; Ha, Sang Hoon (2014) Ultrasensitivity part III: cascades, bistable switches, and oscillators. Trends Biochem Sci 39:612-8
Regot, Sergi; Hughey, Jacob J; Bajar, Bryce T et al. (2014) High-sensitivity measurements of multiple kinase activities in live single cells. Cell 157:1724-34
Gelens, Lendert; Anderson, Graham A; Ferrell Jr, James E (2014) Spatial trigger waves: positive feedback gets you a long way. Mol Biol Cell 25:3486-93
Karr, Jonathan R; Phillips, Nolan C; Covert, Markus W (2014) WholeCellSimDB: a hybrid relational/HDF database for whole-cell model predictions. Database (Oxford) 2014: