Pupylation-based proximity-tagging of FERONIA-interacting proteins in Arabidopsis.


Journal

Molecular & cellular proteomics : MCP
ISSN: 1535-9484
Titre abrégé: Mol Cell Proteomics
Pays: United States
ID NLM: 101125647

Informations de publication

Date de publication:
13 Aug 2024
Historique:
received: 10 10 2023
revised: 11 06 2024
accepted: 07 08 2024
medline: 16 8 2024
pubmed: 16 8 2024
entrez: 15 8 2024
Statut: aheadofprint

Résumé

The plasma membrane-localized receptor kinase FERONIA (FER) plays critical roles in a remarkable variety of biological processes throughout the life cycle of Arabidopsis thaliana. Revealing the molecular connections of FER that underlie these processes starts with identifying the proteins that interact with FER. We applied pupylation-based interaction tagging (PUP-IT) to survey cellular proteins in proximity to FER, encompassing weak and transient interactions that can be difficult to capture for membrane proteins. We reproducibly identified 581, 115, and 736 specific FER-interacting protein candidates in protoplasts, seedlings, and flowers, respectively. We also confirmed fourteen previously characterized FER-interacting proteins. Protoplast transient gene expression expedited the testing of new gene constructs for PUP-IT analyses and the validation of candidate proteins. We verified the proximity labeling of five selected candidates that were not previously characterized as FER-interacting proteins. The PUP-IT method could be a valuable tool to survey and validate protein-protein interactions for targets of interest in diverse subcellular compartments in plants.

Identifiants

pubmed: 39147029
pii: S1535-9476(24)00118-X
doi: 10.1016/j.mcpro.2024.100828
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

100828

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest The authors declare no competing interests.

Auteurs

Zhuoran Lin (Z)

State Key Laboratory of Crop Stress Biology for Arid Areas and College of Life Sciences, Northwest Agriculture & Forestry University, Yangling, Shaanxi 712100, China.

Di Liu (D)

State Key Laboratory of Crop Stress Biology for Arid Areas and College of Life Sciences, Northwest Agriculture & Forestry University, Yangling, Shaanxi 712100, China.

Yifan Xu (Y)

State Key Laboratory of Crop Stress Biology for Arid Areas and College of Life Sciences, Northwest Agriculture & Forestry University, Yangling, Shaanxi 712100, China.

Mengyang Wang (M)

State Key Laboratory of Crop Stress Biology for Arid Areas and College of Life Sciences, Northwest Agriculture & Forestry University, Yangling, Shaanxi 712100, China.

YongQi Yu (Y)

State Key Laboratory of Crop Stress Biology for Arid Areas and College of Life Sciences, Northwest Agriculture & Forestry University, Yangling, Shaanxi 712100, China.

Andrew C Diener (AC)

Department of Molecular Biology and Centre for Computational and Integrative Biology, Massachusetts General Hospital, and Department of Genetics, Harvard Medical School, Boston, MA 02114, USA.

Kun-Hsiang Liu (KH)

State Key Laboratory of Crop Stress Biology for Arid Areas and College of Life Sciences, Northwest Agriculture & Forestry University, Yangling, Shaanxi 712100, China; Institute of Future Agriculture, Northwest Agriculture & Forestry University, Yangling, Shaanxi 712100, China; Department of Molecular Biology and Centre for Computational and Integrative Biology, Massachusetts General Hospital, and Department of Genetics, Harvard Medical School, Boston, MA 02114, USA. Electronic address: khliu@molbio.mgh.harvard.edu.

Classifications MeSH