The Proteomics Shared Resource offers state-of-the-art, user-friendly mass spectrometry-based resources to support Cancer Center members. In addition to making available facilities and services, the Core enables education, methods development and new applications, all designed to meet the rapidly evolving needs of researchers in cancer research. The Core operates under the direction of Dr. Allis Chien, with oversight by an interdisciplinary faculty advisory committee. It occupies 2200 sq ft of space in a conveniently accessible central campus location, and employs four staff scientists in addition to Dr. Chien. Currently, the core houses six mass spectrometers and associated instrumentation;these include single quad, ion trap, triple quad, and Q-Tof mass spectrometers, as well as 2-D nano-LC systems and nanospray robots. In-house proteomics data processing capabilities include Sequest, Mascot, Scaffold, and MaxQuant. Annual operating costs are approximately $400,000;as an A21-compliant cost center, the facility operates on a cost-recovery basis, with ongoing expenses recovered primarily through user fees. In 2008, the labs of 32 Cancer Center members comprised 52% of the facility's user base, up from 40% in 2007. Future goals include the implementation of new MS instrumentation, expansion of quantitative proteomics services, and enhancement of data processing capabilities.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Center Core Grants (P30)
Project #
Application #
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Stanford University
United States
Zip Code
Lee, Bee L; Fan, Shenghua K; Lu, Ying (2017) A curve-free Bayesian decision-theoretic design for two-agent Phase I trials. J Biopharm Stat 27:34-43
Mohanty, Suchismita; Chen, Zixin; Li, Kai et al. (2017) A Novel Theranostic Strategy for MMP-14-Expressing Glioblastomas Impacts Survival. Mol Cancer Ther 16:1909-1921
Alcántara-Hernández, Marcela; Leylek, Rebecca; Wagar, Lisa E et al. (2017) High-Dimensional Phenotypic Mapping of Human Dendritic Cells Reveals Interindividual Variation and Tissue Specialization. Immunity 47:1037-1050.e6
Chao, Mark P; Gentles, Andrew J; Chatterjee, Susmita et al. (2017) Human AML-iPSCs Reacquire Leukemic Properties after Differentiation and Model Clonal Variation of Disease. Cell Stem Cell 20:329-344.e7
Rogers, Zoë N; McFarland, Christopher D; Winters, Ian P et al. (2017) A quantitative and multiplexed approach to uncover the fitness landscape of tumor suppression in vivo. Nat Methods 14:737-742
Sun, Ruping; Hu, Zheng; Sottoriva, Andrea et al. (2017) Between-region genetic divergence reflects the mode and tempo of tumor evolution. Nat Genet 49:1015-1024
Jin, Yuxue; Lai, Tze Leung (2017) A new approach to regression analysis of censored competing-risks data. Lifetime Data Anal 23:605-625
Clarke, Christina A; Glaser, Sally L; Leung, Rita et al. (2017) Prevalence and characteristics of cancer patients receiving care from single vs. multiple institutions. Cancer Epidemiol 46:27-33
Han, Summer S; Ten Haaf, Kevin; Hazelton, William D et al. (2017) The impact of overdiagnosis on the selection of efficient lung cancer screening strategies. Int J Cancer 140:2436-2443
Wender, Paul A; Hardman, Clayton T; Ho, Stephen et al. (2017) Scalable synthesis of bryostatin 1 and analogs, adjuvant leads against latent HIV. Science 358:218-223

Showing the most recent 10 out of 227 publications