Unbiased spatial proteomics with single-cell resolution in tissues.
Journal
Molecular cell
ISSN: 1097-4164
Titre abrégé: Mol Cell
Pays: United States
ID NLM: 9802571
Informations de publication
Date de publication:
16 06 2022
16 06 2022
Historique:
received:
13
02
2022
revised:
05
05
2022
accepted:
18
05
2022
pubmed:
18
6
2022
medline:
22
6
2022
entrez:
17
6
2022
Statut:
ppublish
Résumé
Mass spectrometry (MS)-based proteomics has become a powerful technology to quantify the entire complement of proteins in cells or tissues. Here, we review challenges and recent advances in the LC-MS-based analysis of minute protein amounts, down to the level of single cells. Application of this technology revealed that single-cell transcriptomes are dominated by stochastic noise due to the very low number of transcripts per cell, whereas the single-cell proteome appears to be complete. The spatial organization of cells in tissues can be studied by emerging technologies, including multiplexed imaging and spatial transcriptomics, which can now be combined with ultra-sensitive proteomics. Combined with high-content imaging, artificial intelligence and single-cell laser microdissection, MS-based proteomics provides an unbiased molecular readout close to the functional level. Potential applications range from basic biological questions to precision medicine.
Identifiants
pubmed: 35714588
pii: S1097-2765(22)00489-0
doi: 10.1016/j.molcel.2022.05.022
pii:
doi:
Substances chimiques
Proteome
0
Types de publication
Journal Article
Review
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
2335-2349Informations de copyright
Copyright © 2022 Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interests M.M. is an indirect investor in Evosep.