Literature DB >> 28035667

Acceleration of protein backbone NMR assignment by combinatorial labeling: Application to a small molecule binding study.

Christopher Hein1, Frank Löhr1, Daniel Schwarz2, Volker Dötsch1.   

Abstract

Selective labeling with stable isotopes has long been recognized as a valuable tool in protein NMR to alleviate signal overlap and sensitivity limitations. In this study, combinatorial 15 N-, 13 Cα -, and 13 C'-selective labeling has been used during the backbone assignment of human cyclophilin D to explore binding of an inhibitor molecule. Using a cell-free expression system, a scheme that involves 15 N, 1-13 C, 2-13 C, fully 15 N/13 C, and unlabeled amino acids was optimized to gain a maximum of assignment information from three samples. This scheme was combined with time-shared triple-resonance NMR experiments, which allows a fast and efficient backbone assignment by giving the unambiguous assignment of unique amino acid pairs in the protein, the identity of ambiguous pairs and information about all 19 non-proline amino acid types. It is therefore well suited for binding studies where de novo assignments of amide 1 H and 15 N resonances need to be obtained, even in cases where sensitivity is the limiting factor.
© 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  BEST-TROSY; cell-free expression; cyclophilin D; ligand screening; selective isotope labeling

Mesh:

Substances:

Year:  2017        PMID: 28035667     DOI: 10.1002/bip.23013

Source DB:  PubMed          Journal:  Biopolymers        ISSN: 0006-3525            Impact factor:   2.505


  2 in total

1.  CombLabel: rational design of optimized sequence-specific combinatorial labeling schemes. Application to backbone assignment of membrane proteins with low stability.

Authors:  M Yu Myshkin; M A Dubinnyi; D S Kulbatskii; E N Lyukmanova; M P Kirpichnikov; Z O Shenkarev
Journal:  J Biomol NMR       Date:  2019-07-08       Impact factor: 2.835

2.  Amino-acid selective isotope labeling enables simultaneous overlapping signal decomposition and information extraction from NMR spectra.

Authors:  Takuma Kasai; Shunsuke Ono; Seizo Koshiba; Masayuki Yamamoto; Toshiyuki Tanaka; Shiro Ikeda; Takanori Kigawa
Journal:  J Biomol NMR       Date:  2020-01-30       Impact factor: 2.835

  2 in total

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