Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8418303 | Journal of Immunological Methods | 2013 | 13 Pages |
Abstract
Highly multiplexed, single-cell technologies reveal important heterogeneity within cell populations. Recently, technologies to simultaneously measure expression of 96 (or more) genes from a single cell have been developed for immunologic monitoring. Here, we report a rigorous, optimized, quantitative methodology for using this technology. Specifically: we describe a unique primer/probe qualification method necessary for quantitative results; we show that primers do not compete in highly multiplexed amplifications; we define the limit of detection for this assay as a single mRNA transcript; and, we show that the technical reproducibility of the system is very high. We illustrate two disparate applications of the platform: a “bulk” approach that measures expression patterns from 100 cells at a time in high throughput to define gene signatures, and a single-cell approach to define the coordinate expression patterns of multiple genes and reveal unique subsets of cells.
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Authors
Maria H. Dominguez, Pratip K. Chattopadhyay, Steven Ma, Laurie Lamoreaux, Andrew McDavid, Greg Finak, Raphael Gottardo, Richard A. Koup, Mario Roederer,