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Activity Number: 578
Type: Invited
Date/Time: Thursday, August 7, 2014 : 8:30 AM to 10:20 AM
Sponsor: WNAR
Abstract #310653
Title: Characterizing Cell Heterogeneity Using Single-Cell Genomics
Author(s): Raphael Gottardo*+
Companies: Fred Hutchinson Cancer Research Center
Keywords: single-cell ; genomics ; immunology
Abstract:

Cell populations in blood and tissue are not homogeneous; even clonotypes of individual cells can exist in different biochemical states that define measurable functional differences between them. This single-cell heterogeneity is informative, but lost in assays that measure cell mixtures. Recent technical advances such as mass cytometry and multiplexed microfluidic have enabled the high-throughput quantification of genes or proteins at the single-cell level. Although many analytic tools exist for analyzing high-dimensional data, such as from gene expression arrays, none have been developed specifically for the analysis of single-cell data, which has its own bioinformatics and statistical challenges. During this talk I will give an overview of single-cell technologies for profiling gene expression and present some of the statistical tools we have developed to analyze such data.


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