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Proteomic tools for the analysis of transient interactions between metalloproteins

Authors: Martínez-Fábregas, Jonathan; Rubio, Silvio; Díaz-Quintana, Antonio; Díaz-Moreno, Irene; De La Rosa, Miguel A.;

Proteomic tools for the analysis of transient interactions between metalloproteins

Abstract

Metalloproteins play major roles in cell metabolism and signalling pathways. In many cases, they show moonlighting behaviour, acting in different processes, depending on the physiological state of the cell. To understand these multitasking proteins, we need to discover the partners with which they carry out such novel functions. Although many technological and methodological tools have recently been reported for the detection of protein interactions, specific approaches to studying the interactions involving metalloproteins are not yet well developed. The task is even more challenging for metalloproteins, because they often form short‐lived complexes that are difficult to detect. In this review, we gather the different proteomic techniques and biointeractomic tools reported in the literature. All of them have shown their applicability to the study of transient and weak protein–protein interactions, and are therefore suitable for metalloprotein interactions.

Country
United Kingdom
Keywords

Proteomics, Interactome, Cells, Proteomic, 540, Chromatography, Affinity, Mass Spectrometry, 620, Metalloproteins, Transient interaction, Redox protein, Oligonucleotide Array Sequence Analysis, Protein Binding, Signal Transduction

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
13
Average
Average
Top 10%
32
Green
bronze