This application seeks continuing support for the 5-year period 07/01/2009 to 06/31/2014 for a NIH training program directed at providing predoctoral graduate students with a cross-disciplinary educational experience in biotechnology. The Stanford program began on 07/01/1991 and was funded through 06/30/2006 and with a supplemental funding through 06/31/2007. It draws on a 36 faculty mentors from 12 departments and 3 schools at the university. This training program enables us to coordinate and focus efforts on preparing predoctoral students for careers in the emerging field in biotechnology. Emphasis is placed on creating on environmental that reveals to students the diverse areas encompassed by the life, chemical, physical, and engineering sciences. We offer students opportunities to cross traditional departmental and disciplinary lines thus increasing their awareness of the tenets and practices of scientific and engineering endeavors that otherwise might not be readily accessible in the absence of such a program.
Our aim i s to educate and train students to cope with the issues and challenges biotechnology presents, and to insure that these students are equipped with the understanding and methodologies needed for them to make contributions towards the development and refinement of basic and applied principles of biotechnology. No other training grant program at Stanford University offers the breadth of experience or the direct environment of as many different departments across as many schools as does this one. This, we believe, is the distinguishing feature that sets this program apart from others on our campus. Stanford University is well suited for conducting this kind of multidisciplinary program. The intellectual elements required for such as endeavor are in place. Relevance: The facilities and infrastructure are excellent. Moreover, the biotechnology industry has deep roots in the San Francisco bay area, and during the past 15 years this program has fostered increasingly diverse links with the commercial sector as a means to providing students with additional industrial partners join in the efforts.

National Institute of Health (NIH)
National Institute of General Medical Sciences (NIGMS)
Institutional National Research Service Award (T32)
Project #
Application #
Study Section
National Institute of General Medical Sciences Initial Review Group (BRT)
Program Officer
Jones, Warren
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Stanford University
Engineering (All Types)
Schools of Engineering
United States
Zip Code
Kariolis, Mihalis S; Miao, Yu Rebecca; Diep, Anh et al. (2017) Inhibition of the GAS6/AXL pathway augments the efficacy of chemotherapies. J Clin Invest 127:183-198
Ly, Nina; Cyert, Martha S (2017) Calcineurin, the Ca2+-dependent phosphatase, regulates Rga2, a Cdc42 GTPase-activating protein, to modulate pheromone signaling. Mol Biol Cell 28:576-586
Blauch, Lucas R; Gai, Ya; Khor, Jian Wei et al. (2017) Microfluidic guillotine for single-cell wound repair studies. Proc Natl Acad Sci U S A 114:7283-7288
Bisaria, Namita; Greenfeld, Max; Limouse, Charles et al. (2017) Quantitative tests of a reconstitution model for RNA folding thermodynamics and kinetics. Proc Natl Acad Sci U S A 114:E7688-E7696
Hahn, Aria S; Altman, Tomer; Konwar, Kishori M et al. (2017) A geographically-diverse collection of 418 human gut microbiome pathway genome databases. Sci Data 4:170035
Bisaria, Namita; Greenfeld, Max; Limouse, Charles et al. (2016) Kinetic and thermodynamic framework for P4-P6 RNA reveals tertiary motif modularity and modulation of the folding preferred pathway. Proc Natl Acad Sci U S A 113:E4956-65
Mitchell, Aaron C; Briquez, Priscilla S; Hubbell, Jeffrey A et al. (2016) Engineering growth factors for regenerative medicine applications. Acta Biomater 30:1-12
Koechlein, Claire S; Harris, Jeffrey R; Lee, Timothy K et al. (2016) High-resolution imaging and computational analysis of haematopoietic cell dynamics in vivo. Nat Commun 7:12169
Mendez, Derek; Watkins, Herschel; Qiao, Shenglan et al. (2016) Angular correlations of photons from solution diffraction at a free-electron laser encode molecular structure. IUCrJ 3:420-429
Greenfeld, Max; van de Meent, Jan-Willem; Pavlichin, Dmitri S et al. (2015) Single-molecule dataset (SMD): a generalized storage format for raw and processed single-molecule data. BMC Bioinformatics 16:3

Showing the most recent 10 out of 40 publications