Breakout Session 2 – Immunology

8/31 11:00 - 1:00, Annenberg Auditorium

Breakout Session 2.1

A systems approach to dissecting immunity

Alan A. Aderem

Institute for Systems Biology.

Macrophages represent one of the cornerstones of the innate immune system. They detect infectious organisms via a plethora of receptors; they phagocytose them, and then orchestrate an appropriate host response to them. In order to precisely define the nature of the threat the immune cell uses pattern recognition receptors to read a molecular bar-code that is displayed on the specific pathogen. This precise recognition triggers a specific, highly regulated, response to the pathogen by the host. I will present data that uses the tools of Systems Biology to identify the molecular programs that lead to appropriate responses in macrophages.

Breakout Session 2.2

Arup K. Chakraborty

Massachusetts Institute of Technology.

Breakout Session 2.3

Developing a single cell map of immune cell biology and dysfunction

Garry Nolan

Stanford University.

Intracellular assays of signaling systems have been limited by an inability to correlate functional subsets of cells in complex populations based on active kinase states or other nodal signaling junctions. Such correlations could be important to distinguish changes in signaling status that arise in rare cell subsets during functional activation or in disease manifestation. We have demonstrated the ability to simultaneously detect activated kinases and phospho-proteins in simultaneous pathways in subpopulations of complex cell populations by multi-parameter flow cytometric analysis. We have applied this technology to the study of normal human cell populations, immune and auto-immune models, as well as human disease states including Acute Myelogenous Leukemia, and Follicular Lymphoma, Rheumatoid Arthritis and Lupus, among others. I will discuss our efforts in the development of a single cell map of immune cell biology and dysfunction, and finally our steps towards development of ultra-high parameter analysis of kinases states at the single cell level using mass spectrometry flow cytometry hybrid devices.

Breakout Session 2.4

Stephen R. Quake

Stanford University.