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1.
Anal Chem ; 93(33): 11406-11414, 2021 08 24.
Article in English | MEDLINE | ID: mdl-34387074

ABSTRACT

The growing use of hydrogen-deuterium exchange mass spectrometry (HDX-MS) for studying membrane proteins, large protein assemblies, and highly disulfide-bonded species is often challenged by the presence in the sample of large amounts of lipids, protein ligands, and/or highly ionizable reducing agents. Here, we describe how a short size-exclusion chromatography (SEC) column can be integrated with a conventional temperature-controlled HDX-MS setup to achieve fast and online removal of unwanted species from the HDX sample prior to chromatographic separation and MS analysis. Dual-mode valves permit labeled proteins eluting after SEC to be directed to the proteolytic and chromatographic columns, while unwanted sample components are led to waste. The SEC-coupled HDX-MS method allows analyses to be completed with lower or similar back-exchange compared to conventional experiments. We demonstrate the suitability of the method for the analysis of challenging protein samples, achieving efficient online removal of lipid components from protein-lipid systems, depletion of an antibody from an antigen during epitope mapping, and elimination of MS interfering compounds such as tris(2-carboxyethyl)phosphine (TCEP) during HDX-MS analysis of a disulfide-bonded protein. The implementation of the short SEC column to the conventional HDX-MS setup is straightforward and could be of significant general utility during the HDX-MS analysis of complex protein states.


Subject(s)
Deuterium Exchange Measurement , Hydrogen Deuterium Exchange-Mass Spectrometry , Chromatography, Gel , Deuterium , Mass Spectrometry
2.
J Biol Chem ; 292(2): 512-527, 2017 Jan 13.
Article in English | MEDLINE | ID: mdl-27881680

ABSTRACT

Intrinsically disordered protein regions (IDRs) lack a well defined three-dimensional structure but often facilitate key protein functions. Some interactions between IDRs and folded protein domains rely on short linear motifs (SLiMs). These motifs are challenging to identify, but once found they can point to larger networks of interactions, such as with proteins that serve as hubs for essential cellular functions. The stress-associated plant protein radical-induced cell death1 (RCD1) is one such hub, interacting with many transcription factors via their flexible IDRs. To identify the SLiM bound by RCD1, we analyzed the IDRs in three protein partners, DREB2A (dehydration-responsive element-binding protein 2A), ANAC013, and ANAC046, considering parameters such as disorder, context, charges, and pI. Using a combined bioinformatics and experimental approach, we have identified the bipartite RCD1-binding SLiM as (DE)X(1,2)(YF)X(1,4)(DE)L, with essential contributions from conserved aromatic, acidic, and leucine residues. Detailed thermodynamic analysis revealed both favorable and unfavorable contributions from the IDRs surrounding the SLiM to the interactions with RCD1, and the SLiM affinities ranged from low nanomolar to 50 times higher Kd values. Specifically, although the SLiM was surrounded by IDRs, individual intrinsic α-helix propensities varied as shown by CD spectroscopy. NMR spectroscopy further demonstrated that DREB2A underwent coupled folding and binding with α-helix formation upon interaction with RCD1, whereas peptides from ANAC013 and ANAC046 formed different structures or were fuzzy in the complexes. These findings allow us to present a model of the stress-associated RCD1-transcription factor interactome and to contribute to the emerging understanding of the interactions between folded hubs and their intrinsically disordered partners.


Subject(s)
Arabidopsis Proteins/chemistry , Arabidopsis/chemistry , Models, Molecular , Nuclear Proteins/chemistry , Protein Folding , Transcription Factors/chemistry , Amino Acid Motifs , Arabidopsis/genetics , Arabidopsis/metabolism , Arabidopsis Proteins/genetics , Arabidopsis Proteins/metabolism , Nuclear Magnetic Resonance, Biomolecular , Nuclear Proteins/genetics , Nuclear Proteins/metabolism , Protein Binding , Transcription Factors/genetics , Transcription Factors/metabolism
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