Stable isotope labeling strategy based on coding theory

作     者：Kasai, Takuma Koshiba, Seizo Yokoyama, Jun Kigawa, Takanori 

作者机构：RIKEN Quantitat Biol Ctr QBiC Lab Biomol Struct & Dynam Tsurumi Ku Yokohama Kanagawa 2300045 Japan JST CREST Tsurumi Ku Yokohama Kanagawa 2300045 Japan Tohoku Univ Tohoku Med Megabank Org Aoba Ku Sendai Miyagi 9808573 Japan RIKEN Innovat Ctr RInC Cell Free Technol Applicat Lab Tsurumi Ku Yokohama Kanagawa 2300045 Japan Taiyo Nippon Sanso Corp SI Innovat Ctr Tama Tokyo 2060001 Japan Tokyo Inst Technol Interdisciplinary Grad Sch Sci & Engn Dept Computat Intelligence & Syst Sci Midori Ku Yokohama Kanagawa 2268503 Japan 

出 版 物：《JOURNAL OF BIOMOLECULAR NMR》 (生物分子核磁共振杂志)

年 卷 期：2015年第63卷第2期

页      面：213-221页

核心收录：

学科分类：0710[理学-生物学] 071010[理学-生物化学与分子生物学] 07[理学] 0703[理学-化学] 

基　　金：Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan [25120003, 26650027, 24770108] Japan Society for the Promotion of Science (JSPS) Grants-in-Aid for Scientific Research [26650027, 24770108, 26440018] Funding Source: KAKEN 

主　　题：Amino-acid selective stable isotope labeling Cell-free protein synthesis Coding theory Combinatorial selective labeling Signal assignment 

摘      要：We describe a strategy for stable isotope-aided protein nuclear magnetic resonance (NMR) analysis, called stable isotope encoding. The basic idea of this strategy is that amino-acid selective labeling can be considered as encoding and decoding processes, in which the information of amino acid type is encoded by the stable isotope labeling ratio of the corresponding residue and it is decoded by analyzing NMR spectra. According to the idea, the strategy can diminish the required number of labelled samples by increasing information content per sample, enabling discrimination of 19 kinds of non-proline amino acids with only three labeled samples. The idea also enables this strategy to combine with information technologies, such as error detection by check digit, to improve the robustness of analyses with low quality data. Stable isotope encoding will facilitate NMR analyses of proteins under non-ideal conditions, such as those in large complex systems, with low-solubility, and in living cells.