Cargando…

Use of flow cytometry for high-throughput cell population estimates in brain tissue

The large size of primate brains is an impediment to obtaining high-resolution cell number maps of the cortex in humans and non-human primates. We present a rapid, flow cytometry-based cell counting method that can be used to estimate cell numbers from homogenized brain tissue samples comprising the...

Descripción completa

Detalles Bibliográficos
Autores principales: Young, Nicole A., Flaherty, David K., Airey, David C., Varlan, Peter, Aworunse, Feyi, Kaas, Jon H., Collins, Christine E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394395/
https://www.ncbi.nlm.nih.gov/pubmed/22798947
http://dx.doi.org/10.3389/fnana.2012.00027
_version_ 1782237862960300032
author Young, Nicole A.
Flaherty, David K.
Airey, David C.
Varlan, Peter
Aworunse, Feyi
Kaas, Jon H.
Collins, Christine E.
author_facet Young, Nicole A.
Flaherty, David K.
Airey, David C.
Varlan, Peter
Aworunse, Feyi
Kaas, Jon H.
Collins, Christine E.
author_sort Young, Nicole A.
collection PubMed
description The large size of primate brains is an impediment to obtaining high-resolution cell number maps of the cortex in humans and non-human primates. We present a rapid, flow cytometry-based cell counting method that can be used to estimate cell numbers from homogenized brain tissue samples comprising the entire cortical sheet. The new method, called the flow fractionator, is based on the isotropic fractionator (IF) method (Herculano-Houzel and Lent, 2005), but substitutes flow cytometry analysis for manual, microscope analysis using a Neubauer counting chamber. We show that our flow cytometry-based method for total cell estimation in homogenized brain tissue provides comparable data to that obtained using a counting chamber on a microscope. The advantages of the flow fractionator over existing methods are improved precision of cell number estimates and improved speed of analysis.
format Online
Article
Text
id pubmed-3394395
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-33943952012-07-13 Use of flow cytometry for high-throughput cell population estimates in brain tissue Young, Nicole A. Flaherty, David K. Airey, David C. Varlan, Peter Aworunse, Feyi Kaas, Jon H. Collins, Christine E. Front Neuroanat Neuroscience The large size of primate brains is an impediment to obtaining high-resolution cell number maps of the cortex in humans and non-human primates. We present a rapid, flow cytometry-based cell counting method that can be used to estimate cell numbers from homogenized brain tissue samples comprising the entire cortical sheet. The new method, called the flow fractionator, is based on the isotropic fractionator (IF) method (Herculano-Houzel and Lent, 2005), but substitutes flow cytometry analysis for manual, microscope analysis using a Neubauer counting chamber. We show that our flow cytometry-based method for total cell estimation in homogenized brain tissue provides comparable data to that obtained using a counting chamber on a microscope. The advantages of the flow fractionator over existing methods are improved precision of cell number estimates and improved speed of analysis. Frontiers Media S.A. 2012-07-11 /pmc/articles/PMC3394395/ /pubmed/22798947 http://dx.doi.org/10.3389/fnana.2012.00027 Text en Copyright © 2012 Young, Flaherty, Airey, Varlan, Aworunse, Kaas and Collins. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
spellingShingle Neuroscience
Young, Nicole A.
Flaherty, David K.
Airey, David C.
Varlan, Peter
Aworunse, Feyi
Kaas, Jon H.
Collins, Christine E.
Use of flow cytometry for high-throughput cell population estimates in brain tissue
title Use of flow cytometry for high-throughput cell population estimates in brain tissue
title_full Use of flow cytometry for high-throughput cell population estimates in brain tissue
title_fullStr Use of flow cytometry for high-throughput cell population estimates in brain tissue
title_full_unstemmed Use of flow cytometry for high-throughput cell population estimates in brain tissue
title_short Use of flow cytometry for high-throughput cell population estimates in brain tissue
title_sort use of flow cytometry for high-throughput cell population estimates in brain tissue
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394395/
https://www.ncbi.nlm.nih.gov/pubmed/22798947
http://dx.doi.org/10.3389/fnana.2012.00027
work_keys_str_mv AT youngnicolea useofflowcytometryforhighthroughputcellpopulationestimatesinbraintissue
AT flahertydavidk useofflowcytometryforhighthroughputcellpopulationestimatesinbraintissue
AT aireydavidc useofflowcytometryforhighthroughputcellpopulationestimatesinbraintissue
AT varlanpeter useofflowcytometryforhighthroughputcellpopulationestimatesinbraintissue
AT aworunsefeyi useofflowcytometryforhighthroughputcellpopulationestimatesinbraintissue
AT kaasjonh useofflowcytometryforhighthroughputcellpopulationestimatesinbraintissue
AT collinschristinee useofflowcytometryforhighthroughputcellpopulationestimatesinbraintissue