Proteomic Analysis of Huntington's Disease Medium Spiny Neurons Identifies Alterations in Lipid Droplets.

Huntington’s disease data-dependent acquisitions data-independent acquisitions induced pluripotent stem cells ion mobility medium spiny neurons neurodegeneration quantitative proteomics

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:
05 2023
Historique:
received: 28 05 2022
revised: 15 03 2023
accepted: 19 03 2023
medline: 26 5 2023
pubmed: 24 3 2023
entrez: 23 3 2023
Statut: ppublish

Résumé

Huntington's disease (HD) is a neurodegenerative disease caused by a CAG repeat expansion in the Huntingtin (HTT) gene. The resulting polyglutamine (polyQ) tract alters the function of the HTT protein. Although HTT is expressed in different tissues, the medium-spiny projection neurons (MSNs) in the striatum are particularly vulnerable in HD. Thus, we sought to define the proteome of human HD patient-derived MSNs. We differentiated HD72-induced pluripotent stem cells and isogenic controls into MSNs and carried out quantitative proteomic analysis. Using data-dependent acquisitions with FAIMS for label-free quantification on the Orbitrap Lumos mass spectrometer, we identified 6323 proteins with at least two unique peptides. Of these, 901 proteins were altered significantly more in the HD72-MSNs than in isogenic controls. Functional enrichment analysis of upregulated proteins demonstrated extracellular matrix and DNA signaling (DNA replication pathway, double-strand break repair, G1/S transition) with the highest significance. Conversely, processes associated with the downregulated proteins included neurogenesis-axogenesis, the brain-derived neurotrophic factor-signaling pathway, Ephrin-A:EphA pathway, regulation of synaptic plasticity, triglyceride homeostasis cholesterol, plasmid lipoprotein particle immune response, interferon-γ signaling, immune system major histocompatibility complex, lipid metabolism, and cellular response to stimulus. Moreover, proteins involved in the formation and maintenance of axons, dendrites, and synapses (e.g., septin protein members) were dysregulated in HD72-MSNs. Importantly, lipid metabolism pathways were altered, and using quantitative image analysis, we found that lipid droplets accumulated in the HD72-MSN, suggesting a deficit in the turnover of lipids possibly through lipophagy. Our proteomics analysis of HD72-MSNs identified relevant pathways that are altered in MSNs and confirm current and new therapeutic targets for HD.

Identifiants

pubmed: 36958627
pii: S1535-9476(23)00044-0
doi: 10.1016/j.mcpro.2023.100534
pmc: PMC10165459
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

100534

Subventions

Organisme : NIA NIH HHS
ID : K99 AG065484
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS100529
Pays : United States
Organisme : NIH HHS
ID : S10 OD016281
Pays : United States
Organisme : NIH HHS
ID : S10 OD028654
Pays : United States

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest A. A. G. has a financial interest in Image Analyst Software. All other authors declare that they have no conflicts of interest with the contents of this article.

Auteurs

Kizito-Tshitoko Tshilenge (KT)

The Buck Institute for Research on Aging, Novato, California, USA.

Carlos Galicia Aguirre (CG)

The Buck Institute for Research on Aging, Novato, California, USA; Leonard Davis School of Gerontology, University of Southern California, Los Angeles, California, USA.

Joanna Bons (J)

The Buck Institute for Research on Aging, Novato, California, USA.

Akos A Gerencser (AA)

The Buck Institute for Research on Aging, Novato, California, USA.

Nathan Basisty (N)

The Buck Institute for Research on Aging, Novato, California, USA; Translational Gerontology Branch, National Institute on Aging (NIA), NIH, Baltimore, Maryland, USA.

Sicheng Song (S)

Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, Washington, USA.

Jacob Rose (J)

The Buck Institute for Research on Aging, Novato, California, USA.

Alejandro Lopez-Ramirez (A)

The Buck Institute for Research on Aging, Novato, California, USA.

Swati Naphade (S)

The Buck Institute for Research on Aging, Novato, California, USA.

Ashley Loureiro (A)

The Buck Institute for Research on Aging, Novato, California, USA.

Elena Battistoni (E)

The Buck Institute for Research on Aging, Novato, California, USA.

Mateus Milani (M)

Faculty of Medicine, Biomedical Neuroscience Institute, University of Chile, Santiago, Chile; Center for Geroscience, Brain Health and Metabolism (GERO), Santiago, Chile; Program of Cellular and Molecular Biology, Institute of Biomedical Sciences, University of Chile, Santiago, Chile.

Cameron Wehrfritz (C)

The Buck Institute for Research on Aging, Novato, California, USA.

Anja Holtz (A)

The Buck Institute for Research on Aging, Novato, California, USA.

Claudio Hetz (C)

The Buck Institute for Research on Aging, Novato, California, USA; Faculty of Medicine, Biomedical Neuroscience Institute, University of Chile, Santiago, Chile; Center for Geroscience, Brain Health and Metabolism (GERO), Santiago, Chile; Program of Cellular and Molecular Biology, Institute of Biomedical Sciences, University of Chile, Santiago, Chile.

Sean D Mooney (SD)

Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, Washington, USA.

Birgit Schilling (B)

The Buck Institute for Research on Aging, Novato, California, USA; Leonard Davis School of Gerontology, University of Southern California, Los Angeles, California, USA. Electronic address: bschilling@buckinstitute.org.

Lisa M Ellerby (LM)

The Buck Institute for Research on Aging, Novato, California, USA; Leonard Davis School of Gerontology, University of Southern California, Los Angeles, California, USA. Electronic address: lellerby@buckinstitute.org.

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Classifications MeSH