[Advances of the technologies in large-scale membrane proteome identification].

Autor:	Lv DD; State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China., Zhang YY; State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China., Ge HT; State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China., Huang XH; State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China., Wang YC; State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.
Jazyk:	čínština
Zdroj:	Yi chuan = Hereditas [Yi Chuan] 2019 Sep 20; Vol. 41 (9), pp. 863-874.
DOI:	10.16288/j.yczz.19-275
Abstrakt:	Membrane proteins play important functions not only as receptors and transporters, but also in many other important intracellular functions such as photosynthetic and respiratory electron transport. Identification of membrane proteins is a necessary step to understand their functions. Membrane proteins are generally highly hydrophobic and difficult to be resolved by aqueous solutions, and large-scale proteomic identification of membrane proteins has been a great technical challenge. Significant efforts have been invested in the field to improve the solubility of membrane proteins in aqueous solutions that are compatible for mass spectrometry analysis. This review summarizes the main technological achievements in the field of membrane proteomics particularly for the improvement of membrane protein identification, and uses the photosynthetic model cyanobacterium Synechocystis sp. PCC6803 as an example to illustrate how technology advances push forward the field in terms of the increased coverage of membrane proteome identification.
Databáze:	MEDLINE
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