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Mapping the signaling network of BIN2 kinase using TurboID-mediated biotin labeling and phosphoproteomics.
Kim, Tae-Wuk; Park, Chan Ho; Hsu, Chuan-Chih; Kim, Yeong-Woo; Ko, Yeong-Woo; Zhang, Zhenzhen; Zhu, Jia-Ying; Hsiao, Yu-Chun; Branon, Tess; Kaasik, Krista; Saldivar, Evan; Li, Kevin; Pasha, Asher; Provart, Nicholas J; Burlingame, Alma L; Xu, Shou-Ling; Ting, Alice Y; Wang, Zhi-Yong.
Afiliação
  • Kim TW; Department of Plant Biology, Carnegie Institution for Science, Stanford, California 94305, USA.
  • Park CH; Department of Life Science, Hanyang University, Seoul 04763, South Korea.
  • Hsu CC; Research Institute for Convergence of Basic Science, Hanyang University, Seoul 04763, South Korea.
  • Kim YW; Department of Plant Biology, Carnegie Institution for Science, Stanford, California 94305, USA.
  • Ko YW; Department of Plant Biology, Carnegie Institution for Science, Stanford, California 94305, USA.
  • Zhang Z; Institute of Plant and Microbial Biology, Academia Sinica, Taipei 11529, Taiwan.
  • Zhu JY; Department of Life Science, Hanyang University, Seoul 04763, South Korea.
  • Hsiao YC; Department of Life Science, Hanyang University, Seoul 04763, South Korea.
  • Branon T; Department of Plant Biology, Carnegie Institution for Science, Stanford, California 94305, USA.
  • Kaasik K; Department of Plant Biology, Carnegie Institution for Science, Stanford, California 94305, USA.
  • Saldivar E; Department of Plant Biology, Carnegie Institution for Science, Stanford, California 94305, USA.
  • Li K; Departments of Genetics, Biology, and Chemistry, Stanford University, Stanford, California 94305, USA.
  • Pasha A; Department of Biology, Stanford University, Stanford, California 94305, USA.
  • Provart NJ; Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
  • Burlingame AL; Department of Pharmaceutical Chemistry, University of California, San Francisco, California 94158, USA.
  • Xu SL; Department of Plant Biology, Carnegie Institution for Science, Stanford, California 94305, USA.
  • Ting AY; Department of Biology, Stanford University, Stanford, California 94305, USA.
  • Wang ZY; Department of Plant Biology, Carnegie Institution for Science, Stanford, California 94305, USA.
Plant Cell ; 35(3): 975-993, 2023 03 15.
Article em En | MEDLINE | ID: mdl-36660928
ABSTRACT
Elucidating enzyme-substrate relationships in posttranslational modification (PTM) networks is crucial for understanding signal transduction pathways but is technically difficult because enzyme-substrate interactions tend to be transient. Here, we demonstrate that TurboID-based proximity labeling (TbPL) effectively and specifically captures the substrates of kinases and phosphatases. TbPL-mass spectrometry (TbPL-MS) identified over 400 proximal proteins of Arabidopsis thaliana BRASSINOSTEROID-INSENSITIVE2 (BIN2), a member of the GLYCOGEN SYNTHASE KINASE 3 (GSK3) family that integrates signaling pathways controlling diverse developmental and acclimation processes. A large portion of the BIN2-proximal proteins showed BIN2-dependent phosphorylation in vivo or in vitro, suggesting that these are BIN2 substrates. Protein-protein interaction network analysis showed that the BIN2-proximal proteins include interactors of BIN2 substrates, revealing a high level of interactions among the BIN2-proximal proteins. Our proteomic analysis establishes the BIN2 signaling network and uncovers BIN2 functions in regulating key cellular processes such as transcription, RNA processing, translation initiation, vesicle trafficking, and cytoskeleton organization. We further discovered significant overlap between the GSK3 phosphorylome and the O-GlcNAcylome, suggesting an evolutionarily ancient relationship between GSK3 and the nutrient-sensing O-glycosylation pathway. Our work presents a powerful method for mapping PTM networks, a large dataset of GSK3 kinase substrates, and important insights into the signaling network that controls key cellular functions underlying plant growth and acclimation.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas Quinases / Transdução de Sinais / Proteômica Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas Quinases / Transdução de Sinais / Proteômica Idioma: En Ano de publicação: 2023 Tipo de documento: Article