Cargando…

Quantitative interactome proteomics identifies a proteostasis network for GABA(A) receptors

Gamma-aminobutyric acid type A (GABA(A)) receptors are the primary inhibitory neurotransmitter-gated ion channels in the mammalian central nervous system. Maintenance of GABA(A) receptor protein homeostasis (proteostasis) in cells utilizing its interacting proteins is essential for the function of G...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Ya-Juan, Di, Xiao-Jing, Mu, Ting-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Biochemistry and Molecular Biology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9493394/
https://www.ncbi.nlm.nih.gov/pubmed/36030824
http://dx.doi.org/10.1016/j.jbc.2022.102423
_version_ 1784793709379846144
author Wang, Ya-Juan
Di, Xiao-Jing
Mu, Ting-Wei
author_facet Wang, Ya-Juan
Di, Xiao-Jing
Mu, Ting-Wei
author_sort Wang, Ya-Juan
collection PubMed
description Gamma-aminobutyric acid type A (GABA(A)) receptors are the primary inhibitory neurotransmitter-gated ion channels in the mammalian central nervous system. Maintenance of GABA(A) receptor protein homeostasis (proteostasis) in cells utilizing its interacting proteins is essential for the function of GABA(A) receptors. However, how the proteostasis network orchestrates GABA(A) receptor biogenesis in the endoplasmic reticulum is not well understood. Here, we employed a proteomics-based approach to systematically identify the interactomes of GABA(A) receptors. We carried out a quantitative immunoprecipitation-tandem mass spectrometry analysis utilizing stable isotope labeling by amino acids in cell culture. Furthermore, we performed comparative proteomics by using both WT α1 subunit and a misfolding-prone α1 subunit carrying the A322D variant as the bait proteins. We identified 125 interactors for WT α1-containing receptors, 105 proteins for α1(A322D)-containing receptors, and 54 overlapping proteins within these two interactomes. Our bioinformatics analysis identified potential GABA(A) receptor proteostasis network components, including chaperones, folding enzymes, trafficking factors, and degradation factors, and we assembled a model of their potential involvement in the cellular folding, degradation, and trafficking pathways for GABA(A) receptors. In addition, we verified endogenous interactions between α1 subunits and selected interactors by using coimmunoprecipitation in mouse brain homogenates. Moreover, we showed that TRIM21 (tripartite motif containing-21), an E3 ubiquitin ligase, positively regulated the degradation of misfolding-prone α1(A322D) subunits selectively. This study paves the way for understanding the molecular mechanisms as well as fine-tuning of GABA(A) receptor proteostasis to ameliorate related neurological diseases such as epilepsy.
format Online
Article
Text
id pubmed-9493394
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher American Society for Biochemistry and Molecular Biology
record_format MEDLINE/PubMed
spelling pubmed-94933942022-09-30 Quantitative interactome proteomics identifies a proteostasis network for GABA(A) receptors Wang, Ya-Juan Di, Xiao-Jing Mu, Ting-Wei J Biol Chem Research Article Gamma-aminobutyric acid type A (GABA(A)) receptors are the primary inhibitory neurotransmitter-gated ion channels in the mammalian central nervous system. Maintenance of GABA(A) receptor protein homeostasis (proteostasis) in cells utilizing its interacting proteins is essential for the function of GABA(A) receptors. However, how the proteostasis network orchestrates GABA(A) receptor biogenesis in the endoplasmic reticulum is not well understood. Here, we employed a proteomics-based approach to systematically identify the interactomes of GABA(A) receptors. We carried out a quantitative immunoprecipitation-tandem mass spectrometry analysis utilizing stable isotope labeling by amino acids in cell culture. Furthermore, we performed comparative proteomics by using both WT α1 subunit and a misfolding-prone α1 subunit carrying the A322D variant as the bait proteins. We identified 125 interactors for WT α1-containing receptors, 105 proteins for α1(A322D)-containing receptors, and 54 overlapping proteins within these two interactomes. Our bioinformatics analysis identified potential GABA(A) receptor proteostasis network components, including chaperones, folding enzymes, trafficking factors, and degradation factors, and we assembled a model of their potential involvement in the cellular folding, degradation, and trafficking pathways for GABA(A) receptors. In addition, we verified endogenous interactions between α1 subunits and selected interactors by using coimmunoprecipitation in mouse brain homogenates. Moreover, we showed that TRIM21 (tripartite motif containing-21), an E3 ubiquitin ligase, positively regulated the degradation of misfolding-prone α1(A322D) subunits selectively. This study paves the way for understanding the molecular mechanisms as well as fine-tuning of GABA(A) receptor proteostasis to ameliorate related neurological diseases such as epilepsy. American Society for Biochemistry and Molecular Biology 2022-08-27 /pmc/articles/PMC9493394/ /pubmed/36030824 http://dx.doi.org/10.1016/j.jbc.2022.102423 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Wang, Ya-Juan
Di, Xiao-Jing
Mu, Ting-Wei
Quantitative interactome proteomics identifies a proteostasis network for GABA(A) receptors
title Quantitative interactome proteomics identifies a proteostasis network for GABA(A) receptors
title_full Quantitative interactome proteomics identifies a proteostasis network for GABA(A) receptors
title_fullStr Quantitative interactome proteomics identifies a proteostasis network for GABA(A) receptors
title_full_unstemmed Quantitative interactome proteomics identifies a proteostasis network for GABA(A) receptors
title_short Quantitative interactome proteomics identifies a proteostasis network for GABA(A) receptors
title_sort quantitative interactome proteomics identifies a proteostasis network for gaba(a) receptors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9493394/
https://www.ncbi.nlm.nih.gov/pubmed/36030824
http://dx.doi.org/10.1016/j.jbc.2022.102423
work_keys_str_mv AT wangyajuan quantitativeinteractomeproteomicsidentifiesaproteostasisnetworkforgabaareceptors
AT dixiaojing quantitativeinteractomeproteomicsidentifiesaproteostasisnetworkforgabaareceptors
AT mutingwei quantitativeinteractomeproteomicsidentifiesaproteostasisnetworkforgabaareceptors