4.5 Article

A sensitive mass spectrum assay to characterize engineered methionine adenosyltransferases with S-alkyl methionine analogues as substrates

期刊

ANALYTICAL BIOCHEMISTRY
卷 450, 期 -, 页码 11-19

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ab.2013.12.026

关键词

Epigenetics; Methyltransferase; MAT; S-Adenosyl-L-methionine; LC-MS/MS

资金

  1. National Institute of General Medical Sciences [1R01GM096056]
  2. National Institute of Health (NIH) Director's New Innovator Award Program [1DP2-OD007335]
  3. March of Dimes Foundation (Basil O'Connor Starter Scholar Award)
  4. Starr Cancer Consortium
  5. Alfred W. Bressler Scholars Endowment Fund

向作者/读者索取更多资源

Methionine adenosyltransferases (MATs) catalyze the formation of S-adenosyl-L-methionine (SAM) inside living cells. Recently, S-alkyl analogues of SAM have been documented as cofactor surrogates to label novel targets of methyltransferases. However, these chemically synthesized SAM analogues are not suitable for cell-based studies because of their poor membrane permeability. This issue was recently addressed under a cellular setting through a chemoenzymatic strategy to process membrane-permeable S-alkyl analogues of methionine (SAAMs) into the SAM analogues with engineered MATs. Here we describe a general sensitive activity assay for engineered MATs by converting the reaction products into S-alkylthioadenosines, followed by high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) quantification. With this assay, 40 human MAT mutants were evaluated against 7 SAAMs as potential substrates. The structure-activity relationship revealed that, besides better engaged SAAM binding by the MAT mutants (lower Km value in contrast to native MATs), the gained activity toward the bulky SAAMs stems from their ability to maintain the desired linear S(N)2 transition state (reflected by higher K-cat value). Here the 11 17A mutant of human MATI was identified as the most active variant for biochemical production of SAM analogues from diverse SAAMs. (C) 2013 Elsevier Inc. All rights reserved.

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