Cited by 10Cell death mechanisms and regulationComputational Drug Discovery MethodsAdvanced Proteomics Techniques and Applications

Multidimensional profiling in the investigation of small-molecule-induced cell death

Wolpaw, Adam J., Stockwell, Brent R.·2014·Methods in Enzymology

Abstract

Numerous morphological variations of cell death have been described. These processes depend on a complex and overlapping cellular signaling network, making molecular definition of the pathways challenging. This review describes one solution to this problem for small-molecule-induced death, the creation of high-dimensionality profiles for compounds that can be used to define and compare pathways. Such profiles have been assembled from gene expression measurements, protein quantification, chemical-genetic interactions, chemical combination interactions, cancer cell line sensitivity profiling, quantitative imaging, and modulatory profiling. We discuss the advantages and limitations of these techniques in the study of cell death.

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Crossref · 10.1016/b978-0-12-801430-1.00011-1

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  • In modulatory profiling, erastin and RSL3 cluster together, suggesting they share a cell death mechanism.

    “Using modulatory profiling, an unbiased pharmacological and genetic profiling system in which lethal compounds are classified based on their functional profiles [14, 18], erastin and RSL3 were found to cluster together, suggesting that they share a similar cell death mechanism.”

    From Ferroptosis: Death by Lipid Peroxidation (2016) · cites this paper as [18]

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Authors
Wolpaw, A. J., & Stockwell, B. R.
Affiliations
  • Children's Hospital of Philadelphia (US)
  • Howard Hughes Medical Institute (US)
Venue
Methods in Enzymology
Publisher
Elsevier
Published
2014
Volume
545
Pages
265-302
ISSN
0076-6879 (ISSN-L)
OpenAlex
W2406815909
Cited by
10
References
101
Citations by year
2025: 1 · 2020: 1 · 2019: 1 · 2018: 2 · 2016: 3 · 2015: 2
FWCI
2.11
Type
book chapter
Language
en
Open access
closed
Locations
  • Methods in enzymology on CD-ROM/Methods in enzymology (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Cancer Institute (R01CA097061)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Cell death mechanisms and regulation
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
Keywords
cell death, gene expression profiling, protein quantification, chemical-genetic interactions, quantitative imaging, cell death pathways
MeSH terms
Humans, Signal Transduction, Cell Death, Apoptosis, Gene Expression Profiling, Small Molecule Libraries

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