Reverse Phase Protein Arrays in cancer stem cells.

(Phospho-)proteomics Biomarker discovery Cancer stem cells Immunoassay Reverse-phase protein microarrays

Journal

Methods in cell biology
ISSN: 0091-679X
Titre abrégé: Methods Cell Biol
Pays: United States
ID NLM: 0373334

Informations de publication

Date de publication:
2022
Historique:
entrez: 11 8 2022
pubmed: 12 8 2022
medline: 16 8 2022
Statut: ppublish

Résumé

The scenario of proteogenomics is rapidly evolving and novel technologies are enabling comprehensive molecular exploration down to single cells. Likewise, digital (immuno-)assays are revolutionizing the field of biomarker detection and have reached the grade for population-level screenings with single-molecule sensitivity. Nonetheless, cost- and time-effective, high-throughput targeted phospho-proteomics at a preclinical stage still relies on ad hoc microarray platforms, such as the Reverse-Phase Protein microArrays (RPPA). Although this technique requires specific knowledge and equipment and different laboratories worldwide have implemented alternative methodological strategies, the application of RPPA to biomarker discovery has proven successful on diverse types of samples, including tissues and biological fluids as well as nanovesicles and in vitro cultured lines. Among these, cancer stem(-like) cells (CSC) represent an ideal experimental model system for preclinical discovery and definition of novel drug targets. The present methodological article provides the basic knowledge and steps on how to deploy an RPPA analysis with specific reference to an ideal experimental setup of drug testing on CSC.

Identifiants

pubmed: 35953205
pii: S0091-679X(22)00051-6
doi: 10.1016/bs.mcb.2022.04.004
pii:
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

33-61

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Disclosures Authors have no conflicts of interest to disclose.

Auteurs

Michele Signore (M)

RPPA Unit, Proteomics Area, Core Facilities, Istituto Superiore di Sanità, Rome, Italy. Electronic address: michele.signore@iss.it.

Valeria Manganelli (V)

Department of Experimental Medicine, "Sapienza" University of Rome, Rome, Italy.

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Classifications MeSH