Nano-mole scale side-chain signal assignment by 1H-detected protein solid-state NMR by ultra-fast magic-angle spinning and stereo-array isotope labeling.
Nano-mole scale side-chain signal assignment by 1H-detected protein solid-state NMR by ultra-fast magic-angle spinning and stereo-array isotope labeling.
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DOI:
10.1371/journal.pone.0122714
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发表时间:
2015
期刊:
影响因子:
3.7
通讯作者:
Ishii Y
中科院分区:
文献类型:
--
作者:
Wang S;Parthasarathy S;Nishiyama Y;Endo Y;Nemoto T;Yamauchi K;Asakura T;Takeda M;Terauchi T;Kainosho M;Ishii Y
We present a general approach in 1H-detected 13C solid-state NMR (SSNMR) for side-chain signal assignments of 10-50 nmol quantities of proteins using a combination of a high magnetic field, ultra-fast magic-angle spinning (MAS) at ~80 kHz, and stereo-array-isotope-labeled (SAIL) proteins [Kainosho M. et al., Nature 440, 52–57, 2006]. First, we demonstrate that 1H indirect detection improves the sensitivity and resolution of 13C SSNMR of SAIL proteins for side-chain assignments in the ultra-fast MAS condition. 1H-detected SSNMR was performed for micro-crystalline ubiquitin (~55 nmol or ~0.5mg) that was SAIL-labeled at seven isoleucine (Ile) residues. Sensitivity was dramatically improved by 1H-detected 2D 1H/13C SSNMR by factors of 5.4-9.7 and 2.1-5.0, respectively, over 13C-detected 2D 1H/13C SSNMR and 1D 13C CPMAS, demonstrating that 2D 1H-detected SSNMR offers not only additional resolution but also sensitivity advantage over 1D 13C detection for the first time. High 1H resolution for the SAIL-labeled side-chain residues offered reasonable resolution even in the 2D data. A 1H-detected 3D 13C/13C/1H experiment on SAIL-ubiquitin provided nearly complete 1H and 13C assignments for seven Ile residues only within ~2.5 h. The results demonstrate the feasibility of side-chain signal assignment in this approach for as little as 10 nmol of a protein sample within ~3 days. The approach is likely applicable to a variety of proteins of biological interest without any requirements of highly efficient protein expression systems.
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影响因子:
3.3
作者:
Huber, Matthias;Boeckmann, Anja;Meier, Beat H.
通讯作者:
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影响因子:
16.6
作者:
Kobayashi, Takeshi;Mao, Kanmi;Pruski, Marek
通讯作者:
Pruski, Marek
影响因子:
4.4
作者:
Ishii, Y
通讯作者:
Ishii, Y
影响因子:
2.2
作者:
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通讯作者:
Tycko, R
影响因子:
2.7
作者:
DELAGLIO, F;GRZESIEK, S;BAX, A
通讯作者:
BAX, A