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Autophagy profiling in single cells with open source CellProfiler-based image analysis
Single cell-based analysis of macroautophagy/autophagy is largely achieved through the use of fluorescence microscopy to detect autophagy-related proteins that associate with autophagic membranes and therefore can be quantified as fluorescent puncta. In this context, an automated analysis of the num...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9809960/ https://www.ncbi.nlm.nih.gov/pubmed/35435815 http://dx.doi.org/10.1080/15548627.2022.2065617 |
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author | Schüssele, David S. Haller, Patricia K. Haas, Maximilian L. Hunter, Catherine Sporbeck, Katharina Proikas-Cezanne, Tassula |
author_facet | Schüssele, David S. Haller, Patricia K. Haas, Maximilian L. Hunter, Catherine Sporbeck, Katharina Proikas-Cezanne, Tassula |
author_sort | Schüssele, David S. |
collection | PubMed |
description | Single cell-based analysis of macroautophagy/autophagy is largely achieved through the use of fluorescence microscopy to detect autophagy-related proteins that associate with autophagic membranes and therefore can be quantified as fluorescent puncta. In this context, an automated analysis of the number and size of recognized puncta is preferable to a manual count, because more reliable results can be generated in a short time. Here we present a method for open source CellProfiler software-based analysis for quantitative autophagy assessments using GFP-tagged WIPI1 (WD repeat domain, phosphoinositide interacting 1) images acquired with Airyscan or confocal laser-scanning microscopy. The CellProfiler protocol is provided as a ready-to-use software pipeline, and the creation of this pipeline is detailed in both text and video formats. In addition, we provide CellProfiler pipelines for endogenous SQSTM1/p62 (sequestosome 1) or intracellular lipid droplet (LD) analysis, suitable to assess forms of selective autophagy. All protocols and software pipelines can be quickly and easily adapted for the use of alternative autophagy markers or cell types, and can also be used for high-throughput purposes.Abbreviations: AF Alexa Fluor ATG autophagy related BafA1 bafilomycin A1 BSA bovine serum albumin DAPI 4,6-diamidino-2-phenylindole DMEM Dulbecco’s modified Eagle’s medium DMSO dimethyl sulfoxide EDTA ethylenediaminetetraacetic acid EBSS Earle’s balanced salt solution FBS fetal bovine serum GFP green fluorescent protein LD lipid droplet LSM laser scanning microscope MAP1LC3B microtubule associated protein 1 light chain 3 beta MTOR mechanistic target of rapamycin kinase PBS phosphate-buffered saline PIK3C3/VPS34 phosphatidylinositol 3-kinase catalytic subunit type 3 SQSTM1 sequestosome 1 TIFF tagged image file format U2OS U-2 OS cell line WIPI WD repeat domain, phosphoinositide interacting |
format | Online Article Text |
id | pubmed-9809960 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-98099602023-01-04 Autophagy profiling in single cells with open source CellProfiler-based image analysis Schüssele, David S. Haller, Patricia K. Haas, Maximilian L. Hunter, Catherine Sporbeck, Katharina Proikas-Cezanne, Tassula Autophagy Protocol Single cell-based analysis of macroautophagy/autophagy is largely achieved through the use of fluorescence microscopy to detect autophagy-related proteins that associate with autophagic membranes and therefore can be quantified as fluorescent puncta. In this context, an automated analysis of the number and size of recognized puncta is preferable to a manual count, because more reliable results can be generated in a short time. Here we present a method for open source CellProfiler software-based analysis for quantitative autophagy assessments using GFP-tagged WIPI1 (WD repeat domain, phosphoinositide interacting 1) images acquired with Airyscan or confocal laser-scanning microscopy. The CellProfiler protocol is provided as a ready-to-use software pipeline, and the creation of this pipeline is detailed in both text and video formats. In addition, we provide CellProfiler pipelines for endogenous SQSTM1/p62 (sequestosome 1) or intracellular lipid droplet (LD) analysis, suitable to assess forms of selective autophagy. All protocols and software pipelines can be quickly and easily adapted for the use of alternative autophagy markers or cell types, and can also be used for high-throughput purposes.Abbreviations: AF Alexa Fluor ATG autophagy related BafA1 bafilomycin A1 BSA bovine serum albumin DAPI 4,6-diamidino-2-phenylindole DMEM Dulbecco’s modified Eagle’s medium DMSO dimethyl sulfoxide EDTA ethylenediaminetetraacetic acid EBSS Earle’s balanced salt solution FBS fetal bovine serum GFP green fluorescent protein LD lipid droplet LSM laser scanning microscope MAP1LC3B microtubule associated protein 1 light chain 3 beta MTOR mechanistic target of rapamycin kinase PBS phosphate-buffered saline PIK3C3/VPS34 phosphatidylinositol 3-kinase catalytic subunit type 3 SQSTM1 sequestosome 1 TIFF tagged image file format U2OS U-2 OS cell line WIPI WD repeat domain, phosphoinositide interacting Taylor & Francis 2022-06-26 /pmc/articles/PMC9809960/ /pubmed/35435815 http://dx.doi.org/10.1080/15548627.2022.2065617 Text en © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. |
spellingShingle | Protocol Schüssele, David S. Haller, Patricia K. Haas, Maximilian L. Hunter, Catherine Sporbeck, Katharina Proikas-Cezanne, Tassula Autophagy profiling in single cells with open source CellProfiler-based image analysis |
title | Autophagy profiling in single cells with open source CellProfiler-based image analysis |
title_full | Autophagy profiling in single cells with open source CellProfiler-based image analysis |
title_fullStr | Autophagy profiling in single cells with open source CellProfiler-based image analysis |
title_full_unstemmed | Autophagy profiling in single cells with open source CellProfiler-based image analysis |
title_short | Autophagy profiling in single cells with open source CellProfiler-based image analysis |
title_sort | autophagy profiling in single cells with open source cellprofiler-based image analysis |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9809960/ https://www.ncbi.nlm.nih.gov/pubmed/35435815 http://dx.doi.org/10.1080/15548627.2022.2065617 |
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