Highly multiplexed quantitation of gene expression on single cells.

Details

Serval ID
serval:BIB_78C1C9F65885
Type
Article: article from journal or magazin.
Collection
Publications
Title
Highly multiplexed quantitation of gene expression on single cells.
Journal
Journal of immunological methods
Author(s)
Dominguez M.H., Chattopadhyay P.K., Ma S., Lamoreaux L., McDavid A., Finak G., Gottardo R., Koup R.A., Roederer M.
ISSN
1872-7905 (Electronic)
ISSN-L
0022-1759
Publication state
Published
Issued date
31/05/2013
Peer-reviewed
Oui
Volume
391
Number
1-2
Pages
133-145
Language
english
Notes
Publication types: Journal Article ; Research Support, N.I.H., Intramural ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
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.
Keywords
Animals, DNA Primers, Gene Expression Profiling/methods, Gene Expression Regulation, Genetic Markers, High-Throughput Screening Assays/methods, Humans, Limit of Detection, Linear Models, Lymphocyte Activation/genetics, Lymphocyte Subsets/immunology, Macaca mulatta, Multiplex Polymerase Chain Reaction, RNA, Messenger/metabolism, Reproducibility of Results, Reverse Transcriptase Polymerase Chain Reaction, T-Lymphocytes/immunology
Pubmed
Web of science
Create date
28/02/2022 11:45
Last modification date
23/03/2024 7:24
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