The assembly/disassembly and enzymatic activities of protein nanomachines underlie all cellular functions, and dysregulated nanomachines are the ultimate culprits in cancer. Our proposed research seeks to establish a new conceptual framework to specifically understand the cellular organization of molecular activities. We hypothesize that cellular biochemical activities are spatially organized into an activity architecture via the specific organization of active molecules and their regulatory partners. This activity architecture, together with the structural and mechanical architecture of the cell, encodes all the information needed to drive cellular function. We further hypothesize that perturbations to this activity architecture, even by a few dysregulated driver molecules, could lead to detrimental effects on cellular functions such as loss of control over cell growth, divisio and death. The key technological innovation of our research program is to develop and utilize a new generation of enabling technologies for visualizing and perturbing biochemical and biophysical processes in the native environment of a living cell. Enabled by these new technologies, we will start testing our general hypothesis by elucidating the spatial organization of the enzymatic activities of protein kinases, a family of enzymes that play critical roles in normal cell physiology and tumorigenesis. We will further probe how this kinase activity architecture is dynamically modulated by hormones and growth factors and perturbed by oncogenic mutations. We will also use our single- molecule optogenetic method to probe the connectivity, robustness and sensitivity of the activity architecture. We expect the successful completion of this study will yield a suite of new, transformative technologies with the potential to change the way that biochemical processes are studied in the context of cellular organization. Most importantly, establishing this new conceptual framework of a spatially organized activity architecture should produce a paradigm shift with respect to our understanding of the behaviors of active molecules in their native environment. Characterization of dys-organized activity architectures in cancers should lead to the development of more effective therapeutic treatments that target such dysregulation.

Public Health Relevance

The goal of this project is to develop enabling technologies to probe the active molecules in their native environment and characterize how these active molecules change in cancer. We expect that this research will lead to new ways of studying dysregulated molecular machinery in cancer, thereby better guiding therapeutic interventions that target the dysregulation.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Unknown (R35)
Project #
5R35CA197622-05
Application #
9743738
Study Section
Special Emphasis Panel (ZCA1)
Program Officer
Knowlton, John R
Project Start
2015-08-01
Project End
2022-07-31
Budget Start
2019-08-01
Budget End
2020-07-31
Support Year
5
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of California, San Diego
Department
Pharmacology
Type
Schools of Medicine
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093
Chen, Weizhong; Yan, Zhangming; Li, Simin et al. (2018) RNAs as Proximity-Labeling Media for Identifying Nuclear Speckle Positions Relative to the Genome. iScience 4:204-215
Hard, Ryan; Li, Nan; He, Wei et al. (2018) Deciphering and engineering chromodomain-methyllysine peptide recognition. Sci Adv 4:eaau1447
Ni, Qiang; Mehta, Sohum; Zhang, Jin (2018) Live-cell imaging of cell signaling using genetically encoded fluorescent reporters. FEBS J 285:203-219
Mehta, Sohum; Zhang, Yong; Roth, Richard H et al. (2018) Single-fluorophore biosensors for sensitive and multiplexed detection of signalling activities. Nat Cell Biol 20:1215-1225
Hertel, Fabian; Mo, Gary C H; Dedecker, Peter et al. (2018) Observing the Assembly of Protein Complexes in Living Eukaryotic Cells in Super-Resolution Using refSOFI. Methods Mol Biol 1764:267-277
Liu, Shu-Lin; Wang, Zhi-Gang; Hu, Yusi et al. (2018) Quantitative Lipid Imaging Reveals a New Signaling Function of Phosphatidylinositol-3,4-Bisphophate: Isoform- and Site-Specific Activation of Akt. Mol Cell 71:1092-1104.e5
Ross, Brian L; Tenner, Brian; Markwardt, Michele L et al. (2018) Single-color, ratiometric biosensors for detecting signaling activities in live cells. Elife 7:
Newman, Robert H; Zhang, Jin (2017) Integrated Strategies to Gain a Systems-Level View of Dynamic Signaling Networks. Methods Enzymol 589:133-170
Rodriguez, Erik A; Campbell, Robert E; Lin, John Y et al. (2017) The Growing and Glowing Toolbox of Fluorescent and Photoactive Proteins. Trends Biochem Sci 42:111-129
Mehta, Sohum; Zhang, Jin (2017) Illuminating the Cell's Biochemical Activity Architecture. Biochemistry 56:5210-5213

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