Literature DB >> 30968464

Side chain electrostatic interactions and pH-dependent expansion of the intrinsically disordered, highly acidic carboxyl-terminus of γ-tubulin.

Brandon J Payliss1, Jackie Vogel2,3, Anthony K Mittermaier1.   

Abstract

Intramolecular electrostatic attraction and repulsion strongly influence the conformational sampling of intrinsically disordered proteins and domains (IDPs). In order to better understand this complex relationship, we have used nuclear magnetic resonance to measure side chain pKa values and pH-dependent translational diffusion coefficients for the unstructured and highly acidic carboxyl-terminus of γ-tubulin (γ-CT), providing insight into how the net charge of an IDP relates to overall expansion or collapse of the conformational ensemble. Many of the pKa values in the γ-CT are shifted upward by 0.3-0.4 units and exhibit negatively cooperative ionization pH profiles, likely due to the large net negative charge that accumulates on the molecule as the pH is raised. pKa shifts of this magnitude correspond to electrostatic interaction energies between the affected residues and the rest of the charged molecule that are each on the order of 1 kcal mol-1 . Diffusion of the γ-CT slowed with increasing net charge, indicative of an expanding hydrodynamic radius (rH ). The degree of expansion agreed quantitatively with what has been seen from comparisons of IDPs with different charge content, yielding the general trend that every 0.1 increase in relative charge (|Q|/res) produces a roughly 5% increase in rH . While γ-CT pH titration data followed this trend nearly perfectly, there were substantially larger deviations for the database of different IDP sequences. This suggests that other aspects of an IDP's primary amino acid sequence beyond net charge influence the sensitivity of rH to electrostatic interactions.
© 2019 The Protein Society.

Entities:  

Keywords:  NMR spectroscopy; diffusion coefficient; hydrodynamic radius; intrinsically disordered proteins; pKa shift; γ-tubulin

Mesh:

Substances:

Year:  2019        PMID: 30968464      PMCID: PMC6511730          DOI: 10.1002/pro.3618

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  64 in total

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Review 5.  Progress in the prediction of pKa values in proteins.

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Authors:  Mathias A S Hass; Frans A A Mulder
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Authors:  H Jane Dyson; Peter E Wright
Journal:  Nat Rev Mol Cell Biol       Date:  2005-03       Impact factor: 94.444

9.  Measurement of side-chain carboxyl pK(a) values of glutamate and aspartate residues in an unfolded protein by multinuclear NMR spectroscopy.

Authors:  Martin Tollinger; Julie D Forman-Kay; Lewis E Kay
Journal:  J Am Chem Soc       Date:  2002-05-22       Impact factor: 15.419

10.  Interrogation of γ-tubulin alleles using high-resolution fitness measurements reveals a distinct cytoplasmic function in spindle alignment.

Authors:  Kristian Shulist; Eric Yen; Susanne Kaitna; Allen Leary; Alexandra Decterov; Debarun Gupta; Jackie Vogel
Journal:  Sci Rep       Date:  2017-09-12       Impact factor: 4.379

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  1 in total

1.  DispHred: A Server to Predict pH-Dependent Order-Disorder Transitions in Intrinsically Disordered Proteins.

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Journal:  Int J Mol Sci       Date:  2020-08-13       Impact factor: 5.923

  1 in total

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