Characterization of aggregate load and pattern in living yeast cells by flow cytometry

Protein aggregation is both a hallmark of and a driving force for a number of diseases. It is therefore important to identify the nature of these aggregates and the mechanism(s) by which the cell counteracts their detrimental properties. Currently, the study of aggregation in vivo is performed prima...

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Main Authors: Hernández Hidalgo, Itahisa (Author) , Fleming, Thomas (Author) , Eckstein, Volker (Author) , Herzig, Stephan (Author) , Nawroth, Peter Paul (Author) , Tyedmers, Jens (Author)
Format: Article (Journal)
Language:English
Published: 1 September 2016
In: BioTechniques
Year: 2016, Volume: 61, Issue: 3, Pages: 137-148
ISSN:1940-9818
Online Access:Verlag, Volltext: https://www.biotechniques.com/BiotechniquesJournal/2016/September/Characterization-of-aggregate-load-and-pattern-in-living-yeast-cells-by-flow----cytometry/biotechniques-365063.html
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Author Notes:Itahisa Hernández Hidalgo, Thomas Fleming, Volker Eckstein, Stephan Herzig, Peter P. Nawroth, Jens Tyedmers
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Summary:Protein aggregation is both a hallmark of and a driving force for a number of diseases. It is therefore important to identify the nature of these aggregates and the mechanism(s) by which the cell counteracts their detrimental properties. Currently, the study of aggregation in vivo is performed primarily using fluorescently tagged versions of proteins and analyzing the aggregates by fluorescence microscopy. While this strategy is considered the gold standard, it has several limitations, particularly with respect to its suitability for high-throughput screening (HTS). Here, using a GFP fusion of the well-characterized yeast prion amyloid protein [PSI+], we demonstrate that flow cytometry, which utilizes the same physical principles as fluorescence microscopy, can be used to determine the aggregate load and pattern in live and fixed yeast cells. Furthermore, our approach can easily be applied to high-throughput analyses such as screenings with a yeast deletion library.
Item Description:Gesehen am 06.02.2018
Physical Description:Online Resource
ISSN:1940-9818