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Regulating Space: Bacterial Mastery of the Host Actin Cytoskeleton


EMSL Project ID
39976

Abstract

Abstract: The host plasma membrane, the landscape for environmental and physical perturbations by many microbial pathogens, enhances or diminishes signal transduction by altering diffusivity and oligomerization of many membrane bound receptors. As a consequence of its importance in cell signaling, microbes have evolved advantageous mechanisms which alter cell membrane morphology. Salmonella, modulates the plasma membrane by rapidly polymerizing and depolymerizing the underlying actin cytoskeleton. Although it has been well established, that polymerization upon Salmonella entry results in membrane ruffling and the entry of Salmonella into non-phagocytic epithelial cells, we hypothesize that Salmonella may in addition downregulate immune response by inhibiting membrane-bound TLR. In this work we propose to build a predictive spatial-temporal, stochastic model of TLR signaling and actin cytoskeleton dynamics. We will perform electron microscopy on epithelial cells at pre-Salmonella infection, and pre- and post-Salmonella entry in order to obtain parameters describing the dynamics of the actin cytoskeleton. We will use this data to construct our mathematical model. We will perform simulations to predict downstream TLR signaling under the conditions of pre-infection and Salmonella entry. We will validate and further refine this model by comparing the model results with live-microscopy imaging using techniques such as single particle tracking. The goals of this research are to determine the impacts that disruption of the membrane cytoskeleton has on immune response. The results of this work and the advancement in experimental and computational methodologies will have broad applications in the scientific community.

Project Details

Project type
Large-Scale EMSL Research
Start Date
2010-10-06
End Date
2013-09-30
Status
Closed

Team

Principal Investigator

Jason McDermott
Institution
Pacific Northwest National Laboratory

Team Members

Michael Sydor
Institution
Pacific Northwest National Laboratory

Daniel Hyduke
Institution
University of California, San Diego

Michelle Archuleta
Institution
Pacific Northwest National Laboratory

Roslyn Brown
Institution
Washington State University Tri-Cities

Fred Heffron
Institution
Oregon Health & Science University

Joshua Adkins
Institution
Pacific Northwest National Laboratory

Liang Shi
Institution
Pacific Northwest National Laboratory

Related Publications

Ansong C, AC Rutledge, HD Mitchell, S Chauhan, MB Jones, YM Kim, K Mcateer, BL Deatherage, JL DuBois, HM Brewer, BC Frank, JE McDermott, TO Metz, SN Peterson, RD Smith, VL Motin, and JN Adkins. 2013. "A multi-omic systems approach to elucidating Yersinia virulence mechanisms." Molecular Biosystems 9(1):44-54. doi:10.1039/C2MB25287B
Bordbar A, ML Mo, ES Nakayasu, AC Rutledge, YM Kim, TO Metz, MB Jones, BC Frank, RD Smith, SN Peterson, DR Hyduke, JN Adkins, and BO Palsson. 2012. "Model-driven multi-omic data analysis elucidates metabolic immunomodulators of macrophage activation." Molecular Systems Biology 8(558):, doi:10.1038/msb.2012.21
McDermott JE, MN Archuleta, BD Thrall, JN Adkins, and KM Waters. 2011. "Controlling the Response: Predictive Modeling of a Highly Central, Pathogen-Targeted Core Response Module in Macrophage Activation." PLoS One 6(2):e14673. doi:10.1371/journal.pone.0014673
Nakayasu ES, RN Brown, C Ansong, MA Sydor, S Imtiaz, C Mihai, RL Sontag, KK Hixson, ME Monroe, T Sobreira, G Orr, VA Petyuk, F Yang, RD Smith, and JN Adkins. 2013. "Multi-omic data integration links Deleted in Breast Cancer 1 (DBC1) Degradation to Chromatin Remodeling in Inflammatory Response." Molecular & Cellular Proteomics. MCP 12(8):2136-2147. doi:10.1074/mcp.M112.026138