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

Takuma Kasai, Shunsuke Ono, Seizo Koshiba, Masayuki Yamamoto, Toshiyuki Tanaka, Shiro Ikeda, Takanori Kigawa

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


Signal overlapping is a major bottleneck for protein NMR analysis. We propose a new method, stable-isotope-assisted parameter extraction (SiPex), to resolve overlapping signals by a combination of amino-acid selective isotope labeling (AASIL) and tensor decomposition. The basic idea of Sipex is that overlapping signals can be decomposed with the help of intensity patterns derived from quantitative fractional AASIL, which also provides amino-acid information. In SiPex, spectra for protein characterization, such as 15N relaxation measurements, are assembled with those for amino-acid information to form a four-order tensor, where the intensity patterns from AASIL contribute to high decomposition performance even if the signals share similar chemical shift values or characterization profiles, such as relaxation curves. The loading vectors of each decomposed component, corresponding to an amide group, represent both the amino-acid and relaxation information. This information link provides an alternative protein analysis method that does not require “assignments” in a general sense; i.e., chemical shift determinations, since the amino-acid information for some of the residues allows unambiguous assignment according to the dual selective labeling. SiPex can also decompose signals in time-domain raw data without Fourier transform, even in non-uniformly sampled data without spectral reconstruction. These features of SiPex should expand biological NMR applications by overcoming their overlapping and assignment problems.

Original languageEnglish
Pages (from-to)125-137
Number of pages13
JournalJournal of biomolecular NMR
Issue number2-3
Publication statusPublished - 2020 Mar 1


  • Combinatorial selective labeling
  • Non-uniform sampling (NUS)
  • Relaxation analysis
  • Spectral deconvolution
  • Stable isotope encoding (SiCode)
  • Tensor factorization

ASJC Scopus subject areas

  • Biochemistry
  • Spectroscopy


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