High throughput screening for autophagy.


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:
2021
Historique:
entrez: 27 7 2021
pubmed: 28 7 2021
medline: 26 11 2021
Statut: ppublish

Résumé

Robotized high throughput screening allows for the assessment of autophagy in a large number of samples. Here, we describe a drug discovery platform for the phenotypic identification of novel autophagy inducers by means of automated cell biology workflows employing robotized cell culture, sample preparation and data acquisition. In this setting, fluorescent biosensor cells that express microtubule-associated proteins 1A/1B light chain 3B (best known as LC3) conjugated to green fluorescent protein (GFP), are utilized together with automated high content microscopy for the image-based assessment of autophagy. In sum, we detail a drug discovery screening workflow from high throughput sample preparation and processing to data acquisition and analysis.

Identifiants

pubmed: 34311873
pii: S0091-679X(20)30217-X
doi: 10.1016/bs.mcb.2020.12.011
pii:
doi:

Substances chimiques

Microtubule-Associated Proteins 0
Green Fluorescent Proteins 147336-22-9

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

89-101

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Sabrina Forveille (S)

Centre de Recherche des Cordeliers, Équipe 11 Labellisée par la Ligue Contre le Cancer, Université de Paris, Sorbonne Université, Inserm U1138, Institut Universitaire de France, Paris, France; Metabolomics and Cell Biology Platforms, Gustave Roussy Cancer Campus, Villejuif, France.

Marion Leduc (M)

Centre de Recherche des Cordeliers, Équipe 11 Labellisée par la Ligue Contre le Cancer, Université de Paris, Sorbonne Université, Inserm U1138, Institut Universitaire de France, Paris, France; Metabolomics and Cell Biology Platforms, Gustave Roussy Cancer Campus, Villejuif, France.

Allan Sauvat (A)

Centre de Recherche des Cordeliers, Équipe 11 Labellisée par la Ligue Contre le Cancer, Université de Paris, Sorbonne Université, Inserm U1138, Institut Universitaire de France, Paris, France; Metabolomics and Cell Biology Platforms, Gustave Roussy Cancer Campus, Villejuif, France.

Giulia Cerrato (G)

Centre de Recherche des Cordeliers, Équipe 11 Labellisée par la Ligue Contre le Cancer, Université de Paris, Sorbonne Université, Inserm U1138, Institut Universitaire de France, Paris, France; Metabolomics and Cell Biology Platforms, Gustave Roussy Cancer Campus, Villejuif, France; Université Paris Sud, Paris Saclay, Faculty of Medicine, Kremlin-Bicêtre, France.

Guido Kroemer (G)

Centre de Recherche des Cordeliers, Équipe 11 Labellisée par la Ligue Contre le Cancer, Université de Paris, Sorbonne Université, Inserm U1138, Institut Universitaire de France, Paris, France; Metabolomics and Cell Biology Platforms, Gustave Roussy Cancer Campus, Villejuif, France; Suzhou Institute for Systems Medicine, Chinese Academy of Medical Sciences, Suzhou, China; Pôle de Biologie, Hôpital Européen Georges-Pompidou, AP-HP, Paris, France; Department of Women's and Children's Health, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden. Electronic address: kroemer@orange.fr.

Oliver Kepp (O)

Centre de Recherche des Cordeliers, Équipe 11 Labellisée par la Ligue Contre le Cancer, Université de Paris, Sorbonne Université, Inserm U1138, Institut Universitaire de France, Paris, France; Université Paris Sud, Paris Saclay, Faculty of Medicine, Kremlin-Bicêtre, France. Electronic address: captain.olsen@gmail.com.

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Classifications MeSH