laboratory focuses on signaling
in the immune system and study of oncogenic process. Study of cancer, autoimmunity, and the manners in which single cells can be distinguished from normal human tissues, and their biology understood thereby, are prominent in
use advanced Flow Cytometric analysis (FACS) of phosphoproteins
in single cells and dominant effector genetics to achieve
many of our goals. For this we have developed a range of FACS
and peptide expression systems using advanced signaling analysis at the single cells level, coupled to high throughput proteomics technologies and Bayesian mathematics, to study pathways of interest to us and derive signaling structures in normal and diseased cells.
Proteomics: Multiparameter phosphoprotein analysis
in single cells by Flow Cytometry and FACS
systems can now be analyzed directly by
flow cytometry and Fluorescence Activated
Cell Sorting. We have developed
a series of methods for following multiple
phosphoproteins in complex populations
of primary cells.
- Up to
11 simultaneous parameters can be followed
in single cells including multiple kinases,
phosphoproteins, cell cycle, and other
parameters allow for exacting resolution
of cellular activation states.
- We are
using these techniques to study B and
T cell signaling, dendritic cell function,
and other immune parameters by analysis
of biochemical functions at the single
- We currently have efforts in Acute Myelogenous Leukemia (adult and pediatric), Juvenile Monomyelocytic Leukemia, Follicular Lymphoma, Colon cancer, high throughput drug screening against kinases in complex cell populations, normal stem cell development, single cell kinetics and the cell cycle, so-called 'cancer stem cells', use of Raman spectroscopy for multiparametric cell imaging, among many other projects.
- A critical component of our work is the merging of complex biology assays with advanced computational methods for automated delineation of signaling networks (see our papers in Science and Cell for details on the reference pages).
University Proteomics Center Web page