Toshio Yamazaki

Dr. Toshio Yamazaki


Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 September 2021 in Proteins: Structure, Function, and Bioinformatics
Verified
Journal Article
Open access
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YHYuanpeng Janet Huang
Yuanpeng Janet Huang
NZNing Zhang
Ning Zhang
BBBeate Bersch
Beate Bersch
KFKrzysztof Fidelis
Krzysztof Fidelis
MIMasayori Inouye
Masayori Inouye
GMGaetano T. Montelione
Gaetano T. Montelione
NMR studies can provide unique information about protein conformations in solution. In CASP14, three reference structures provided by solution NMR methods were available (T1027, T1029, and T1055), as well as a fourth data set of NMR‐derived contacts for an integral membrane protein (T1088). For the three targets with NMR‐based structures, the best prediction results ranged from very good (GDT_TS = 0.90, for T1055) to poor (GDT_TS = 0.47, for T1029). We explored the basis of these results by comparing all CASP14 prediction models against experimental NMR data. For T1027, NMR data reveal extensive internal dynamics, presenting a unique challenge for protein structure prediction methods. The analysis of T1029 motivated exploration of a novel method of “inverse structure determination,” in which an AlphaFold2 model was used to guide NMR data analysis. NMR data provided to CASP predictor groups for target T1088, a 238‐residue integral membrane porin, was also used to assess several NMR‐assisted prediction methods. Most groups involved in this exercise generated similar beta‐barrel models, with good agreement with the experimental data. However, as was also observed in CASP13, some pure prediction groups that did not use any NMR data generated models for T1088 that better fit the NMR data than the models generated using these experimental data. These results demonstrate the remarkable power of modern methods to predict structures of proteins with accuracies rivaling solution NMR structures, and that it is now possible to reliably use prediction models to guide and complement experimental NMR data analysis.

18 November 2020 in Scientific Reports
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Journal Article
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NWNan Wu
Nan Wu
NKNaohiro Kobayashi
Naohiro Kobayashi
KTKengo Tsuda
Kengo Tsuda
SUSatoru Unzai
Satoru Unzai
TSTomonori Saotome
Tomonori Saotome
TYToshio Yamazaki
Toshio Yamazaki
Gaussia luciferase (GLuc) is a small luciferase (18.2 kDa; 168 residues) and is thus attracting much attention as a reporter protein, but the lack of structural information is hampering further application. Here, we report the first solution structure of a fully active, recombinant GLuc determined by heteronuclear multidimensional NMR. We obtained a natively folded GLuc by bacterial expression and efficient refolding using a Solubility Enhancement Petide (SEP) tag. Almost perfect assignments of GLuc’s 1H, 13C and 15N backbone signals were obtained. GLuc structure was determined using CYANA, which automatically identified over 2500 NOEs of which > 570 were long-range. GLuc is an all-alpha-helix protein made of nine helices. The region spanning residues 10–18, 36–81, 96–145 and containing eight out of the nine helices was determined with a Cα-atom RMSD of 1.39 Å ± 0.39 Å. The structure of GLuc is novel and unique. Two homologous sequential repeats form two anti-parallel bundles made by 4 helices and tied together by three disulfide bonds. The N-terminal helix 1 is grabbed by these 4 helices. Further, we found a hydrophobic cavity where several residues responsible for bioluminescence were identified in previous mutational studies, and we thus hypothesize that this is a catalytic cavity, where the hydrophobic coelenterazine binds and the bioluminescence reaction takes place.

6 July 2018 in Angewandte Chemie International Edition
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Journal Article
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XSXiangyan Shi
Xiangyan Shi
CPChinmayi Prasanna
Chinmayi Prasanna
TNToshio Nagashima
Toshio Nagashima
TYToshio Yamazaki
Toshio Yamazaki
KPKonstantin Pervushin
Konstantin Pervushin
LNLars Nordenskiöld
Lars Nordenskiöld

22 July 2020 in Nucleic Acids Research
Verified
Journal Article
Open access
TOTakako Ohyama
Takako Ohyama
HTHazuki Takahashi
Hazuki Takahashi
HSHarshita Sharma
Harshita Sharma
TYToshio Yamazaki
Toshio Yamazaki
SGStefano Gustincich
Stefano Gustincich
Piero CarninciPiero Carninci
Piero Carninci
Long non-coding RNAs (lncRNAs) are attracting widespread attention for their emerging regulatory, transcriptional, epigenetic, structural and various other functions. Comprehensive transcriptome analysis has revealed that retrotransposon elements (REs) are transcribed and enriched in lncRNA sequences. However, the functions of lncRNAs and the molecular roles of the embedded REs are largely unknown. The secondary and tertiary structures of lncRNAs and their embedded REs are likely to have essential functional roles, but experimental determination and reliable computational prediction of large RNA structures have been extremely challenging. We report here the nuclear magnetic resonance (NMR)-based secondary structure determination of the 167-nt inverted short interspersed nuclear element (SINE) B2, which is embedded in antisense Uchl1 lncRNA and upregulates the translation of sense Uchl1 mRNAs. By using NMR ‘fingerprints’ as a sensitive probe in the domain survey, we successfully divided the full-length inverted SINE B2 into minimal units made of two discrete structured domains and one dynamic domain without altering their original structures after careful boundary adjustments. This approach allowed us to identify a structured domain in nucleotides 31–119 of the inverted SINE B2. This approach will be applicable to determining the structures of other regulatory lncRNAs.

1 December 2007 in Clinical and Experimental Nephrology
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Journal Article
Closed access
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OOOsamu Oikawa
Osamu Oikawa
HTHiguchi Terumi
Higuchi Terumi
TYToshio Yamazaki
Toshio Yamazaki
CYChii Yamamoto
Chii Yamamoto
Noboru FukudaNoboru Fukuda
Noboru Fukuda
KMKoichi Matsumoto
Koichi Matsumoto

31 July 2021 in Molecules
Verified
Journal Article
Open access
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NDNghia Tuan DUONG
Nghia Tuan DUONG
YAYoshitaka Aoyama
Yoshitaka Aoyama
KKKatsumi Kawamoto
Katsumi Kawamoto
TYToshio Yamazaki
Toshio Yamazaki
YNYusuke Nishiyama
Yusuke Nishiyama
Three-dimensional electron diffraction crystallography (microED) can solve structures of sub-micrometer crystals, which are too small for single crystal X-ray crystallography. However, R factors for the microED-based structures are generally high because of dynamic scattering. That means R factor may not be reliable provided that kinetic analysis is used. Consequently, there remains ambiguity to locate hydrogens and to assign nuclei with close atomic numbers, like carbon, nitrogen, and oxygen. Herein, we employed microED and ssNMR dipolar-based experiments together with spin dynamics numerical simulations. The NMR dipolar-based experiments were 1H-14N phase-modulated rotational-echo saturation-pulse double-resonance (PM-S-RESPDOR) and 1H-1H selective recoupling of proton (SERP) experiments. The former examined the dephasing effect of a specific 1H resonance under multiple 1H-14N dipolar couplings. The latter examined the selective polarization transfer between a 1H-1H pair. The structure was solved by microED and then validated by evaluating the agreement between experimental and calculated dipolar-based NMR results. As the measurements were performed on 1H and 14N, the method can be employed for natural abundance samples. Furthermore, the whole validation procedure was conducted at 293 K unlike widely used chemical shift calculation at 0 K using the GIPAW method. This combined method was demonstrated on monoclinic l-histidine.