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Proteomics data of SNF1-related protein kinase 2.4 interacting proteins revealed by immunoprecipitation-mass spectrometry

Identification of kinase substrates is a prerequisite for elucidating the mechanism by which a kinase transduces internal or external stimuli to cellular responses. Conventional methods to profile this type of protein-protein interaction typically deal with one kinase-substrate pair at a time. Mass...

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Detalles Bibliográficos
Autores principales: Zhang, Tong, Schneider, Jacqueline D., Lin, Chuwei, Koh, Jin, Chen, Sixue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519261/
https://www.ncbi.nlm.nih.gov/pubmed/33005707
http://dx.doi.org/10.1016/j.dib.2020.106326
Descripción
Sumario:Identification of kinase substrates is a prerequisite for elucidating the mechanism by which a kinase transduces internal or external stimuli to cellular responses. Conventional methods to profile this type of protein-protein interaction typically deal with one kinase-substrate pair at a time. Mass spectrometry-based proteomics, on the other hand, can determine putative kinase-substrate pairs at a large-scale in an unbiased manner. In this study, we identified the interacting partners of SNF1-related protein kinase 2.4 (SnRK2.4) via immunoprecipitation coupled with mass spectrometry. Proteins from stable transgenic Arabidopsis plants overexpressing a FLAG-tagged SnRK2.4 (cloned from Brassica napus) were pulled down using an anti-FLAG antibody. The protein components were then identified by mass spectrometry. In parallel, proteins from wild type plants were also analyzed, providing a list of nonspecific binding proteins that were further removed from the candidate SnRK2.4-interacting protein list. Our data identified over 30 putative SnRK2.4 interacting partners, which included many key players in stress responses, transport, and cellular metabolic processes.