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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Neuroscience
2019
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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. |
format | Online Article Text |
id | pubmed-6565374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Society for Neuroscience |
record_format | MEDLINE/PubMed |
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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