Native Mass Spectrometry of Membrane Proteins.
Native Mass Spectrometry of Membrane Proteins.
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膜蛋白的天然质谱法。
DOI:
10.1021/acs.analchem.0c04342
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发表时间:
2021-01-12
影响因子:
7.4
通讯作者:
Marty MT
中科院分区:
文献类型:
--
作者:
Keener JE;Zhang G;Marty MT
Biological membranes formed of amphipathic lipid bilayers provide chemical barriers to separate cells from their external environments and define subcellular compartments. Membrane proteins embedded within these lipid membranes constitute about 30% of the proteome, 1, 2 and they play key roles in cellular processes such as chemical transport, signal transduction, and enzymatic catalysis. Due to these important roles, membrane proteins represent roughly half of all drug targets. 3Characterizing membrane protein structures is fundamental in elucidating their biochemical mechanisms and developing new therapeutics. However, membrane proteins represent only 2− 3% of high-resolution structures in the Protein Data Bank (PDB). These statistics reflect a significant gap in analytical tools to characterize membrane protein structure, function, and interactions, especially in the context of lipid bilayers. There are several analytical challenges in studying membrane proteins. First, the natural abundance of membrane proteins is typically low, and it can be challenging to overexpress and purify membrane proteins in high yields. 4− 7 Thus, we need sensitive analytical methods that only require small amounts of sample. Second, the membrane environment is highly heterogeneous and insoluble, and many techniques are not capable of studying membrane proteins in their natural context. Finally, most analytical methods require membrane proteins to be solubilized, but detergents used for solubilization can destabilize membrane proteins and disrupt key protein− lipid interactions. 8− 11 In other words, membrane proteins have more complex interactions and environmental constraints than soluble proteins due to their amphipathic nature.
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DOI:
10.1002/anie.201704849
发表时间:
2017-11-13
期刊:
Angewandte Chemie (International ed. in English)
影响因子:
--
作者:
Ambrose S;Housden NG;Gupta K;Fan J;White P;Yen HY;Marcoux J;Kleanthous C;Hopper JTS;Robinson CV
通讯作者:
Robinson CV
影响因子:
16.6
作者:
Cong X;Liu Y;Liu W;Liang X;Laganowsky A
通讯作者:
Laganowsky A
影响因子:
7.4
作者:
Benesch, JLP;Sobott, F;Robinson, CV
通讯作者:
Robinson, CV
影响因子:
15
作者:
Cong, Xiao;Liu, Yang;Laganowsky, Arthur
通讯作者:
Laganowsky, Arthur
影响因子:
5.4
作者:
Almen, Markus Sallman;Nordstrom, Karl J. V.;Schioth, Helgi B.
通讯作者:
Schioth, Helgi B.