High-Throughput Image-Based Aggresome Quantification.
aggresome
approved drug library
high-content screening
image analysis
phenotypic screening
Journal
SLAS discovery : advancing life sciences R & D
ISSN: 2472-5560
Titre abrégé: SLAS Discov
Pays: United States
ID NLM: 101697563
Informations de publication
Date de publication:
08 2020
08 2020
Historique:
pubmed:
26
5
2020
medline:
16
7
2021
entrez:
26
5
2020
Statut:
ppublish
Résumé
Aggresomes are subcellular perinuclear structures where misfolded proteins accumulate by retrograde transport on microtubules. Different methods are available to monitor aggresome formation, but they are often laborious, time-consuming, and not quantitative. Proteostat is a red fluorescent molecular rotor dye, which becomes brightly fluorescent when it binds to protein aggregates. As this reagent was previously validated to detect aggresomes, we have miniaturized its use in 384-well plates and developed a method for high-throughput imaging and quantification of aggresomes. Two different image analysis methods, including one with machine learning, were evaluated. They lead to similar robust data to quantify cells having aggresome, with satisfactory Z' factor values and reproducible EC
Identifiants
pubmed: 32449635
doi: 10.1177/2472555220919708
pii: S2472-5552(22)06609-6
doi:
Substances chimiques
Proteasome Inhibitors
0
Protein Aggregates
0
Proteasome Endopeptidase Complex
EC 3.4.25.1
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM