Multidimensional profiling in the investigation of small-molecule-induced cell death
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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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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Ferroptosis: Death by Lipid Peroxidation
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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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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