Literature DB >> 30098073

Using 1 HN amide temperature coefficients to define intrinsically disordered regions: An alternative NMR method.

Hiroki Okazaki1, Naoki Matsuo2, Takeshi Tenno2,3, Natsuko Goda2, Yoshiki Shigemitsu2, Motonori Ota1, Hidekazu Hiroaki2,3,4.   

Abstract

This report describes a cost-effective experimental method for determining an intrinsically disordered protein (IDP) region in a given protein sample. In this area, the most popular (and conventional) means is using the amide (1 HN ) NMR signal chemical shift distributed in the range of 7.5-8.5 ppm. For this study, we applied an additional step: analysis of 1 HN chemical shift temperature coefficients (1 HN -CSTCs) of the signals. We measured 1 H-15 N two-dimensional NMR spectra of model IDP samples and ordered samples at four temperatures (288, 293, 298, and 303 K). We derived the 1 HN -CSTC threshold deviation, which gives the best correlation of ordered and disordered regions among the proteins examined (below -3.6 ppb/K). By combining these criteria with the newly optimized chemical shift range (7.8-8.5 ppm), the ratios of both true positive and true negative were improved by approximately 19% (62-81%) compared with the conventional "chemical shift-only" method.
© 2018 The Protein Society.

Entities:  

Keywords:  chemical shift temperature coefficient; hydrogen bond; intrinsically disordered protein; nuclear magnetic resonance

Mesh:

Substances:

Year:  2018        PMID: 30098073      PMCID: PMC6199157          DOI: 10.1002/pro.3485

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


  40 in total

Review 1.  Intrinsically unstructured proteins: re-assessing the protein structure-function paradigm.

Authors:  P E Wright; H J Dyson
Journal:  J Mol Biol       Date:  1999-10-22       Impact factor: 5.469

2.  Amide temperature coefficients in the protein G B1 domain.

Authors:  Jennifer H Tomlinson; Mike P Williamson
Journal:  J Biomol NMR       Date:  2011-11-11       Impact factor: 2.835

3.  An optimized Npro-based method for the expression and purification of intrinsically disordered proteins for an NMR study.

Authors:  Natsuko Goda; Naoki Matsuo; Takeshi Tenno; Sonoko Ishino; Yoshizumi Ishino; Satoshi Fukuchi; Motonori Ota; Hidekazu Hiroaki
Journal:  Intrinsically Disord Proteins       Date:  2015-02-23

4.  An assignment of intrinsically disordered regions of proteins based on NMR structures.

Authors:  Motonori Ota; Ryotaro Koike; Takayuki Amemiya; Takeshi Tenno; Pedro R Romero; Hidekazu Hiroaki; A Keith Dunker; Satoshi Fukuchi
Journal:  J Struct Biol       Date:  2012-11-07       Impact factor: 2.867

5.  Structural characterization of the MIT domain from human Vps4b.

Authors:  Hirotoshi Takasu; Jun Goo Jee; Ayako Ohno; Natsuko Goda; Kenichiro Fujiwara; Hidehito Tochio; Masahiro Shirakawa; Hidekazu Hiroaki
Journal:  Biochem Biophys Res Commun       Date:  2005-08-26       Impact factor: 3.575

6.  Protein backbone angle restraints from searching a database for chemical shift and sequence homology.

Authors:  G Cornilescu; F Delaglio; A Bax
Journal:  J Biomol NMR       Date:  1999-03       Impact factor: 2.835

7.  NMRPipe: a multidimensional spectral processing system based on UNIX pipes.

Authors:  F Delaglio; S Grzesiek; G W Vuister; G Zhu; J Pfeifer; A Bax
Journal:  J Biomol NMR       Date:  1995-11       Impact factor: 2.835

8.  Temperature-dependence of protein hydrogen bond properties as studied by high-resolution NMR.

Authors:  Florence Cordier; Stephan Grzesiek
Journal:  J Mol Biol       Date:  2002-04-12       Impact factor: 5.469

9.  Explaining the structural plasticity of α-synuclein.

Authors:  Orly Ullman; Charles K Fisher; Collin M Stultz
Journal:  J Am Chem Soc       Date:  2011-11-14       Impact factor: 15.419

10.  A Method for Systematic Assessment of Intrinsically Disordered Protein Regions by NMR.

Authors:  Natsuko Goda; Kana Shimizu; Yohta Kuwahara; Takeshi Tenno; Tamotsu Noguchi; Takahisa Ikegami; Motonori Ota; Hidekazu Hiroaki
Journal:  Int J Mol Sci       Date:  2015-07-10       Impact factor: 5.923

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  2 in total

1.  Temperature dependence of NMR chemical shifts: Tracking and statistical analysis.

Authors:  Kyle Trainor; Jeffrey A Palumbo; Duncan W S MacKenzie; Elizabeth M Meiering
Journal:  Protein Sci       Date:  2019-11-26       Impact factor: 6.725

2.  Variable-temperature NMR spectroscopy for metabolite identification in biological materials.

Authors:  Ewa K Nawrocka; Mateusz Urbańczyk; Kamil Koziński; Krzysztof Kazimierczuk
Journal:  RSC Adv       Date:  2021-11-03       Impact factor: 4.036

  2 in total

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