A Simple and Efficient Method for the Substrate Identification of Amino Acid Decarboxylases

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Abstract
Amino acid decarboxylases convert amino acids into different biogenic amines which regulate diverse biological processes. Therefore, identifying the substrates of amino acid decarboxylases is critical for investigating the function of the decarboxylases, especially for the new genes predicted to be amino acid decarboxylases. In the present work, we have established a simple and efficient method to identify the substrates and enzymatic activity of amino acid decarboxylases based on LC-MS methods. We chose GAD65 and AADC as models to validate our method. GAD65 and AADC were expressed in HEK 293T cells and purified through immunoprecipitation. The purified amino acid decarboxylases were subjected to enzymatic reaction with different substrate mixtures in vitro. LC-MS analysis of the reaction mixture identified depleted or accumulated metabolites, which corresponded to candidate enzyme substrates and products, respectively. Our method successfully identified the substrates and products of known amino acid decarboxylases. In summary, our method can efficiently identify the substrates and products of amino acid decarboxylases, which will facilitate future amino acid decarboxylase studies.
Funding Information
  • National Key Research and Development Program of China (2019YFA0801900, 31970707, 21YF1403300, 19YF1403300)
  • National Natural Science Foundation of China (2019YFA0801900, 31970707, 21YF1403300, 19YF1403300)
  • Shanghai Sailing Program (2019YFA0801900, 31970707, 21YF1403300, 19YF1403300)

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