Biosynthesis and genetic encoding of phosphothreonine through parallel selection and deep sequencing.

Biosynthesis and genetic encoding of phosphothreonine through parallel selection and deep sequencing.
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DOI:
10.1038/nmeth.4302
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发表时间:
2017-07
期刊:
影响因子:
48
通讯作者:
Chin JW
Chin JW
中科院分区:
生物学1区
文献类型:
--
作者:
Zhang MS;Brunner SF;Huguenin-Dezot N;Liang AD;Schmied WH;Rogerson DT;Chin JW

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The phosphorylation of threonine residues in proteins regulates diverse processes in eukaryotic cells, and thousands of threonine phosphorylations have been identified. An understanding of how threonine phosphorylation regulates biological function will be accelerated by general methods to bio-synthesize defined phospho-proteins. Here we address limitations in current methods for discovering aminoacyl-tRNA synthetase/tRNA pairs for incorporating non-natural amino acids into proteins, by combining parallel positive selections with deep sequencing and statistical analysis, to create a rapid approach for directly discovering aminoacyl-tRNA synthetase/tRNA pairs that selectively incorporate non-natural substrates. Our approach is scalable and enables the direct discovery of aminoacyl-tRNA synthetase/tRNA pairs with mutually orthogonal substrate specificity. We biosynthesize phosphothreonine in cells, and use our new selection approach to discover a phosphothreonyl-tRNA synthetase/tRNACUA pair. By combining these advances we create an entirely biosynthetic route to incorporating phosphothreonine in proteins and biosynthesize several phosphoproteins; enabling phosphoprotein structure determination and synthetic protein kinase activation.