Collar occupancy: a new quantitative imaging tool for morphometric analysis of oligodendrocytes

Detalhes bibliográficos
Autor(a) principal: Nova, FB
Data de Publicação: 2018
Outros Autores: Maia, AF, Cruz, A, Millar, V, Pinto, IM, Relvas, JB, Domingues, HS
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10216/108675
Resumo: "Background Oligodendrocytes (OL) are the myelinating cells of the central nervous system. OL differentiation from oligodendrocyte progenitor cells (OPC) is accompanied by characteristic stereotypical morphological changes. Quantitative imaging of those morphological alterations during OPC differentiation is commonly used for characterization of new molecules in cell differentiation and myelination and screening of new pro-myelinating drugs. Current available imaging analysis methods imply a non-automated morphology assessment, which is time-consuming and prone to user subjective evaluation. New method Here, we describe an automated high-throughput quantitative image analysis method entitled collar occupancy that allows morphometric ranking of different stages of in vitro OL differentiation in a high-content analysis format. Collar occupancy is based on the determination of the percentage of area occupied by OPC/OL cytoplasmic protrusions within a defined region that contains the protrusion network, the collar. Results We observed that more differentiated cells have higher collar occupancy and, therefore, this parameter correlates with the degree of OL differentiation. Comparison with existing methods In comparison with the method of manual categorization, we found the collar occupancy to be more robust and unbiased. Moreover, when coupled with myelin basic protein (MBP) staining to quantify the percentage of myelinating cells, we were able to evaluate the role of new molecules in OL differentiation and myelination, such as Dusp19 and Kank2. Conclusions Altogether, we have successfully developed an automated and quantitative method to morphologically characterize OL differentiation in vitro that can be used in multiple studies of OL biology."
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spelling Collar occupancy: a new quantitative imaging tool for morphometric analysis of oligodendrocytes"Background Oligodendrocytes (OL) are the myelinating cells of the central nervous system. OL differentiation from oligodendrocyte progenitor cells (OPC) is accompanied by characteristic stereotypical morphological changes. Quantitative imaging of those morphological alterations during OPC differentiation is commonly used for characterization of new molecules in cell differentiation and myelination and screening of new pro-myelinating drugs. Current available imaging analysis methods imply a non-automated morphology assessment, which is time-consuming and prone to user subjective evaluation. New method Here, we describe an automated high-throughput quantitative image analysis method entitled collar occupancy that allows morphometric ranking of different stages of in vitro OL differentiation in a high-content analysis format. Collar occupancy is based on the determination of the percentage of area occupied by OPC/OL cytoplasmic protrusions within a defined region that contains the protrusion network, the collar. Results We observed that more differentiated cells have higher collar occupancy and, therefore, this parameter correlates with the degree of OL differentiation. Comparison with existing methods In comparison with the method of manual categorization, we found the collar occupancy to be more robust and unbiased. Moreover, when coupled with myelin basic protein (MBP) staining to quantify the percentage of myelinating cells, we were able to evaluate the role of new molecules in OL differentiation and myelination, such as Dusp19 and Kank2. Conclusions Altogether, we have successfully developed an automated and quantitative method to morphologically characterize OL differentiation in vitro that can be used in multiple studies of OL biology."Elsevier2018-01-152018-01-15T00:00:00Z2019-07-15T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10216/108675eng0165-027010.1016/j.jneumeth.2017.11.014Nova, FBMaia, AFCruz, AMillar, VPinto, IMRelvas, JBDomingues, HSinfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T15:25:29Zoai:repositorio-aberto.up.pt:10216/108675Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:23:19.817916Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Collar occupancy: a new quantitative imaging tool for morphometric analysis of oligodendrocytes
title Collar occupancy: a new quantitative imaging tool for morphometric analysis of oligodendrocytes
spellingShingle Collar occupancy: a new quantitative imaging tool for morphometric analysis of oligodendrocytes
Nova, FB
title_short Collar occupancy: a new quantitative imaging tool for morphometric analysis of oligodendrocytes
title_full Collar occupancy: a new quantitative imaging tool for morphometric analysis of oligodendrocytes
title_fullStr Collar occupancy: a new quantitative imaging tool for morphometric analysis of oligodendrocytes
title_full_unstemmed Collar occupancy: a new quantitative imaging tool for morphometric analysis of oligodendrocytes
title_sort Collar occupancy: a new quantitative imaging tool for morphometric analysis of oligodendrocytes
author Nova, FB
author_facet Nova, FB
Maia, AF
Cruz, A
Millar, V
Pinto, IM
Relvas, JB
Domingues, HS
author_role author
author2 Maia, AF
Cruz, A
Millar, V
Pinto, IM
Relvas, JB
Domingues, HS
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Nova, FB
Maia, AF
Cruz, A
Millar, V
Pinto, IM
Relvas, JB
Domingues, HS
description "Background Oligodendrocytes (OL) are the myelinating cells of the central nervous system. OL differentiation from oligodendrocyte progenitor cells (OPC) is accompanied by characteristic stereotypical morphological changes. Quantitative imaging of those morphological alterations during OPC differentiation is commonly used for characterization of new molecules in cell differentiation and myelination and screening of new pro-myelinating drugs. Current available imaging analysis methods imply a non-automated morphology assessment, which is time-consuming and prone to user subjective evaluation. New method Here, we describe an automated high-throughput quantitative image analysis method entitled collar occupancy that allows morphometric ranking of different stages of in vitro OL differentiation in a high-content analysis format. Collar occupancy is based on the determination of the percentage of area occupied by OPC/OL cytoplasmic protrusions within a defined region that contains the protrusion network, the collar. Results We observed that more differentiated cells have higher collar occupancy and, therefore, this parameter correlates with the degree of OL differentiation. Comparison with existing methods In comparison with the method of manual categorization, we found the collar occupancy to be more robust and unbiased. Moreover, when coupled with myelin basic protein (MBP) staining to quantify the percentage of myelinating cells, we were able to evaluate the role of new molecules in OL differentiation and myelination, such as Dusp19 and Kank2. Conclusions Altogether, we have successfully developed an automated and quantitative method to morphologically characterize OL differentiation in vitro that can be used in multiple studies of OL biology."
publishDate 2018
dc.date.none.fl_str_mv 2018-01-15
2018-01-15T00:00:00Z
2019-07-15T00:00:00Z
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url http://hdl.handle.net/10216/108675
dc.language.iso.fl_str_mv eng
language eng
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10.1016/j.jneumeth.2017.11.014
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