During the past decade, we have witnessed the emergence of a new era in biology. Driven largely by advances in high-throughput technologies and computational power, biologists today can collect data and measurements on a scale and complexity level unimaginable until recently. With the new era, biology is now becoming an information and engineering science that will rely not only on the fundamental organizational principles, but also on predictive modeling. Previous efforts to attract students with diverse training backgrounds were successful, creating a multidisciplinary environment. However, the complexity of the challenges ahead will require that students integrate perspectives from different disciplines to synthesize completely new approaches, rather than working within their own silos. This process of achieving true interdisciplinary training, where the boundaries of traditional disciplines are blurred, or removed altogether, requires a new approach to graduate education. To meet this challenge, we have developed a comprehensive interdisciplinary program for training students in the understanding and engineering of complex biological systems. The Integrative Program in Complex Biological Systems (ipCBS) departs significantly from a traditional curriculum. Built on an entirely new foundation focused on the observation, modeling, and manipulation of complex biological systems, the ipCBS represents a novel approach to solve the critical sociological and linguistic problems associated with training scientists to be simultaneously conversant in the languages of biology, mathematics, physics, and engineering.

Public Health Relevance

The University of California at San Francisco is strictly a biomedical campus. Like all of our graduate training programs, the Integrated Program in Complex Biological Systems is dedicated to advancing health worldwide. The specific research programs of our trainees and their faculty are focused on a broad range of basic and applied biomedical science, ranging from drug discovery, cancer therapeutics, viral evolution, and infectious disease, to name just a few.

National Institute of Health (NIH)
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Institutional National Research Service Award (T32)
Project #
Application #
Study Section
Special Emphasis Panel (ZEB1-OSR-E (J1))
Program Officer
Baird, Richard A
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of California San Francisco
Schools of Medicine
San Francisco
United States
Zip Code
Wesolowska-Andersen, Agata; Everman, Jamie L; Davidson, Rebecca et al. (2017) Dual RNA-seq reveals viral infections in asthmatic children without respiratory illness which are associated with changes in the airway transcriptome. Genome Biol 18:12
Aranda-Díaz, Andrés; Mace, Kieran; Zuleta, Ignacio et al. (2017) Robust Synthetic Circuits for Two-Dimensional Control of Gene Expression in Yeast. ACS Synth Biol 6:545-554
Urisman, Anatoly; Levin, Rebecca S; Gordan, John D et al. (2017) An Optimized Chromatographic Strategy for Multiplexing In Parallel Reaction Monitoring Mass Spectrometry: Insights from Quantitation of Activated Kinases. Mol Cell Proteomics 16:265-277
Burkhardt, David H; Rouskin, Silvi; Zhang, Yan et al. (2017) Operon mRNAs are organized into ORF-centric structures that predict translation efficiency. Elife 6:
Haliburton, John R; Shao, Wenjun; Deutschbauer, Adam et al. (2017) Genetic interaction mapping with microfluidic-based single cell sequencing. PLoS One 12:e0171302
Wang, Xiaorong; Cimermancic, Peter; Yu, Clinton et al. (2017) Molecular Details Underlying Dynamic Structures and Regulation of the Human 26S Proteasome. Mol Cell Proteomics 16:840-854
Shahi, Payam; Kim, Samuel C; Haliburton, John R et al. (2017) Abseq: Ultrahigh-throughput single cell protein profiling with droplet microfluidic barcoding. Sci Rep 7:44447
Braun, Christian J; Bruno, Peter M; Horlbeck, Max A et al. (2016) Versatile in vivo regulation of tumor phenotypes by dCas9-mediated transcriptional perturbation. Proc Natl Acad Sci U S A 113:E3892-900
Adamson, Britt; Norman, Thomas M; Jost, Marco et al. (2016) A Multiplexed Single-Cell CRISPR Screening Platform Enables Systematic Dissection of the Unfolded Protein Response. Cell 167:1867-1882.e21
Doan, Thuy; Wilson, Michael R; Crawford, Emily D et al. (2016) Erratum to: Illuminating uveitis: metagenomic deep sequencing identifies common and rare pathogens. Genome Med 8:123

Showing the most recent 10 out of 82 publications