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Critical Analysis of Particle Detection Artifacts in Synaptosome Flow Cytometry

Flow cytometry and fluorescence-activated sorting are powerful techniques that hold great promise for studying heterogeneous populations of submicron particles such as synaptosomes, but many technical challenges arise in these experiments. To date, most flow cytometry studies of synaptosomes have re...

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Autores principales: Hobson, Benjamin D., Sims, Peter A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society for Neuroscience 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6565374/
https://www.ncbi.nlm.nih.gov/pubmed/31118205
http://dx.doi.org/10.1523/ENEURO.0009-19.2019
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author Hobson, Benjamin D.
Sims, Peter A.
author_facet Hobson, Benjamin D.
Sims, Peter A.
author_sort Hobson, Benjamin D.
collection PubMed
description Flow cytometry and fluorescence-activated sorting are powerful techniques that hold great promise for studying heterogeneous populations of submicron particles such as synaptosomes, but many technical challenges arise in these experiments. To date, most flow cytometry studies of synaptosomes have relied on particle detection using forward scatter (FSC) measurements and size estimation with polystyrene (PS) bead standards. However, these practices have serious limitations, and special care must be taken to overcome the poor sensitivity of conventional flow cytometers in the analysis of submicron particles. Technical artifacts can confound these experiments, especially the detection of multiple particles as a single event. Here, we compared analysis of P2 crude synaptosomal preparations from murine forebrain on multiple flow cytometers using both FSC-triggered and fluorescence-triggered detection. We implemented multicolor fluorescent dye-based assays to quantify coincident particle detection and aggregation, and we assessed the false colocalization of antigens in immunostaining analyses. Our results demonstrate that fluorescence triggering and proper dilution can control for coincident particle detection, but not particle aggregation. We confirmed previous studies showing that FSC-based size estimation with PS beads underestimates biological particle size, and we identified pervasive aggregation in the FSC range analyzed in most synaptosome flow cytometry studies. We found that analyzing P2 samples in sucrose/EDTA/tris (SET) buffer reduces aggregation compared to PBS, but does not completely eliminate the presence of aggregates, especially in immunostaining experiments. Our study highlights challenges and pitfalls in synaptosome flow cytometry and provides a methodological framework for future studies.
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spelling pubmed-65653742019-06-18 Critical Analysis of Particle Detection Artifacts in Synaptosome Flow Cytometry Hobson, Benjamin D. Sims, Peter A. eNeuro Methods/New Tools Flow cytometry and fluorescence-activated sorting are powerful techniques that hold great promise for studying heterogeneous populations of submicron particles such as synaptosomes, but many technical challenges arise in these experiments. To date, most flow cytometry studies of synaptosomes have relied on particle detection using forward scatter (FSC) measurements and size estimation with polystyrene (PS) bead standards. However, these practices have serious limitations, and special care must be taken to overcome the poor sensitivity of conventional flow cytometers in the analysis of submicron particles. Technical artifacts can confound these experiments, especially the detection of multiple particles as a single event. Here, we compared analysis of P2 crude synaptosomal preparations from murine forebrain on multiple flow cytometers using both FSC-triggered and fluorescence-triggered detection. We implemented multicolor fluorescent dye-based assays to quantify coincident particle detection and aggregation, and we assessed the false colocalization of antigens in immunostaining analyses. Our results demonstrate that fluorescence triggering and proper dilution can control for coincident particle detection, but not particle aggregation. We confirmed previous studies showing that FSC-based size estimation with PS beads underestimates biological particle size, and we identified pervasive aggregation in the FSC range analyzed in most synaptosome flow cytometry studies. We found that analyzing P2 samples in sucrose/EDTA/tris (SET) buffer reduces aggregation compared to PBS, but does not completely eliminate the presence of aggregates, especially in immunostaining experiments. Our study highlights challenges and pitfalls in synaptosome flow cytometry and provides a methodological framework for future studies. Society for Neuroscience 2019-06-04 /pmc/articles/PMC6565374/ /pubmed/31118205 http://dx.doi.org/10.1523/ENEURO.0009-19.2019 Text en Copyright © 2019 Hobson and Sims http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
spellingShingle Methods/New Tools
Hobson, Benjamin D.
Sims, Peter A.
Critical Analysis of Particle Detection Artifacts in Synaptosome Flow Cytometry
title Critical Analysis of Particle Detection Artifacts in Synaptosome Flow Cytometry
title_full Critical Analysis of Particle Detection Artifacts in Synaptosome Flow Cytometry
title_fullStr Critical Analysis of Particle Detection Artifacts in Synaptosome Flow Cytometry
title_full_unstemmed Critical Analysis of Particle Detection Artifacts in Synaptosome Flow Cytometry
title_short Critical Analysis of Particle Detection Artifacts in Synaptosome Flow Cytometry
title_sort critical analysis of particle detection artifacts in synaptosome flow cytometry
topic Methods/New Tools
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6565374/
https://www.ncbi.nlm.nih.gov/pubmed/31118205
http://dx.doi.org/10.1523/ENEURO.0009-19.2019
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