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Tracking cancer drugs in living cells by thermal profiling of the proteome

Authors: Mikhail M, Savitski; Friedrich B M, Reinhard; Holger, Franken; Thilo, Werner; Maria Fälth, Savitski; Dirk, Eberhard; Daniel, Martinez Molina; +7 Authors

Tracking cancer drugs in living cells by thermal profiling of the proteome

Abstract

Mapping human drug targets in the cell To understand both the beneficial and the side effects of a drug, one would need to know its full binding profile to all cellular proteins. Savitski et al. take significant steps toward meeting this daunting challenge. They monitored the unfolding or “melting” of over 7000 human proteins and measured how small-molecule binding changes individual melting profiles. As a proof of principle, over 50 targets were identified for an inhibitor known to bind a broad spectrum of kinases. Two cancer drugs, vemurafib and Alectinib, are known to have a side effect of photosensitivity. The thermal profiling approach identified drug-protein interactions responsible for these side effects. Science , this issue 10.1126/science.1255784

Keywords

Adenosine Triphosphatases, Proteomics, Protein Denaturation, Hot Temperature, Proteome, Protein Stability, Antineoplastic Agents, Ligands, Humans, K562 Cells, Protein Binding

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1K
Top 0.01%
Top 0.1%
Top 0.1%
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