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Mapping the binding interface of ERK and transcriptional repressor Capicua using photocrosslinking

Authors: Alan S. Futran; Saw Kyin; Stanislav Y. Shvartsman; A. James Link;

Mapping the binding interface of ERK and transcriptional repressor Capicua using photocrosslinking

Abstract

Significance Extracellular signal-regulated kinase (ERK) is a critical enzyme that interacts with a wide range of regulators and substrates to control cellular functions. ERK interactions have been studied using a number of biophysical and biochemical techniques, which identified two docking domains on ERK used by almost all of its substrates and regulators. However, mapping the binding interface of a new ERK interactor with little prior knowledge of the binding mechanism remains a challenge. Here we show that the introduction of a photocrosslinking amino acid into the heterodimerization interface of ERK and its substrate, Capicua, allows for precise, amino-acid–level determination of the substrate binding site using tandem mass spectrometry. This study demonstrates the utility of photocrosslinking approaches for the determination of binding sites on kinases.

Keywords

Binding Sites, Molecular Sequence Data, Photochemical Processes, Mass Spectrometry, Repressor Proteins, HMGB Proteins, Animals, Drosophila Proteins, Humans, Drosophila, Amino Acid Sequence, Extracellular Signal-Regulated MAP Kinases

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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    impulse
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    Top 10%
Powered by OpenAIRE graph
citations
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!
48
Top 10%
Top 10%
Top 10%
hybrid