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High-Dimensional Single Cell Analysis

Overview of attention for book
Attention for Chapter 365: Mass Cytometry to Decipher the Mechanism of Nongenetic Drug Resistance in Cancer.
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Chapter title
Mass Cytometry to Decipher the Mechanism of Nongenetic Drug Resistance in Cancer.
Chapter number 365
Book title
High-Dimensional Single Cell Analysis
Published in
Current topics in microbiology and immunology, February 2014
DOI 10.1007/82_2014_365
Pubmed ID
Book ISBNs
978-3-64-254826-0, 978-3-64-254827-7
Authors

Fienberg HG, Nolan GP, Harris G. Fienberg, Garry P. Nolan, Fienberg, Harris G., Nolan, Garry P.

Abstract

Nongenetic resistance has recently been described as a major impediment to effective cancer therapy. Nongenetic resistance is challenging to study since it occurs nonuniformly, even in cell lines, and can involve the interplay of multiple survival pathways. Until recently, no technology allowed measurement of large-scale alterations in survival pathways with single-cell resolution. Mass cytometry, a flow-based technique in which the activation of up to 50 proteins can be measured simultaneously in single-cell, now provides the ability to examine nongenetic resistance on the functional level on a cell-by-cell basis. The application of mass cytometry, in combination with new bioinformatic techniques, will allow fundamental questions on nongenetic resistance to be addressed: Is resistance caused by selection of cells with a pre-existing survival phenotype or induction of a survival program? Which survival pathways are necessary for nongenetic resistance and how do they interact? Currently, mass cytometry is being used to investigate the mechanism of nongenetic resistance to TRAIL-induced apoptosis. The approaches being developed to understand resistance to TRAIL will likely be applied to elucidate the mechanisms of nongenetic resistance broadly and in the clinic.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 6%
Czechia 1 6%
Unknown 14 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 44%
Researcher 5 31%
Other 2 13%
Student > Master 1 6%
Professor > Associate Professor 1 6%
Other 0 0%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 38%
Medicine and Dentistry 4 25%
Immunology and Microbiology 2 13%
Arts and Humanities 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Other 2 13%