Multi-Cell Line Analysis of Lysosomal Proteomes Reveals Unique Features and Novel Lysosomal Proteins.

lysosomes mass spectrometry posterior probability analysis proteomics superparamagnetic iron oxide nanoparticles (SPIONs)

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:
03 2023
Historique:
received: 22 06 2022
revised: 01 02 2023
accepted: 06 02 2023
medline: 28 3 2023
pubmed: 16 2 2023
entrez: 15 2 2023
Statut: ppublish

Résumé

Lysosomes, the main degradative organelles of mammalian cells, play a key role in the regulation of metabolism. It is becoming more and more apparent that they are highly active, diverse, and involved in a large variety of processes. The essential role of lysosomes is exemplified by the detrimental consequences of their malfunction, which can result in lysosomal storage disorders, neurodegenerative diseases, and cancer. Using lysosome enrichment and mass spectrometry, we investigated the lysosomal proteomes of HEK293, HeLa, HuH-7, SH-SY5Y, MEF, and NIH3T3 cells. We provide evidence on a large scale for cell type-specific differences of lysosomes, showing that levels of distinct lysosomal proteins are highly variable within one cell type, while expression of others is highly conserved across several cell lines. Using differentially stable isotope-labeled cells and bimodal distribution analysis, we furthermore identify a high confidence population of lysosomal proteins for each cell line. Multi-cell line correlation of these data reveals potential novel lysosomal proteins, and we confirm lysosomal localization for six candidates. All data are available via ProteomeXchange with identifier PXD020600.

Identifiants

pubmed: 36791992
pii: S1535-9476(23)00018-X
doi: 10.1016/j.mcpro.2023.100509
pmc: PMC10025164
pii:
doi:

Substances chimiques

lysosomal proteins 0
Proteome 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

100509

Informations de copyright

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

Déclaration de conflit d'intérêts

Conflict of interest The authors declare no competing interests.

Auteurs

Fatema Akter (F)

Institute for Biochemistry and Molecular Biology, Medical Faculty, University of Bonn, Bonn, Germany; Department of Pharmacology, Faculty of Veterinary Science, Bangladesh Agricultural University, Mymensingh, Bangladesh.

Sara Bonini (S)

Institute for Biochemistry and Molecular Biology, Medical Faculty, University of Bonn, Bonn, Germany.

Srigayatri Ponnaiyan (S)

Institute for Biochemistry and Molecular Biology, Medical Faculty, University of Bonn, Bonn, Germany.

Bianca Kögler-Mohrbacher (B)

Bioinformatics Unit (MF1), Robert Koch Institute, Berlin, Germany.

Florian Bleibaum (F)

Institute for Biochemistry, University of Kiel, Kiel, Germany.

Markus Damme (M)

Institute for Biochemistry, University of Kiel, Kiel, Germany.

Bernhard Y Renard (BY)

Bioinformatics Unit (MF1), Robert Koch Institute, Berlin, Germany.

Dominic Winter (D)

Institute for Biochemistry and Molecular Biology, Medical Faculty, University of Bonn, Bonn, Germany. Electronic address: dominic.winter@uni-bonn.de.

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Classifications MeSH