An assessment of software for flow cytometry analysis in banana plants

Detalhes bibliográficos
Autor(a) principal: Silva, Renata Alves Lara
Data de Publicação: 2014
Outros Autores: Pio, Leila Aparecida Salles, Pasqual, Moacir, Oliveira, Ana Catarina Lima de, Rodrigues, Filipe Almendagna, Silva, Sebastião de Oliveira e
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/37754
Resumo: Flow cytometry is a technique that yields rapid results in analyses of cell properties such as volume, morphological complexity and quantitative DNA content, and it is considered more convenient than other techniques. However, the analysis usually generates histograms marked by variations that can be produced by many factors, including differences between the software packages that capture the data generated by the flow cytometer. The objective of the present work was to evaluate the performance of four software products commonly used in flow cytometry based on quantifications of DNA content and analyses of the coefficients of variation associated with the software outputs. Readings were obtained from 25 ‘NBA’ (AA) banana leaf samples using the FACSCalibur (BD) flow cytometer, and 25 histograms from each software product (CellQuest™, WinMDI™, FlowJo™ and FCS Express™) were analyzed to obtain the estimated DNA content and the coefficient of variation (CV) of the estimates. The values of DNA content obtained from the software did not differ significantly. However, the CV analysis showed that the precision of the WinMDI™ software was low and that the CV values were underestimated, whereas the remaining software showed CV values that were in relatively close agreement with those found in the literature. The CellQuest™ software is recommended because it was developed by the same company that produces the flow cytometer used in the present study.
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spelling An assessment of software for flow cytometry analysis in banana plantsAvaliação de softwares para análises de citometria de fluxo em bananeiraCoefficient of variationDNA contentCellQuest softwareWinMDI softwareFlowJo softwareFCS Express softwareCoeficiente de variaçãoConteúdo de DNAFlow cytometry is a technique that yields rapid results in analyses of cell properties such as volume, morphological complexity and quantitative DNA content, and it is considered more convenient than other techniques. However, the analysis usually generates histograms marked by variations that can be produced by many factors, including differences between the software packages that capture the data generated by the flow cytometer. The objective of the present work was to evaluate the performance of four software products commonly used in flow cytometry based on quantifications of DNA content and analyses of the coefficients of variation associated with the software outputs. Readings were obtained from 25 ‘NBA’ (AA) banana leaf samples using the FACSCalibur (BD) flow cytometer, and 25 histograms from each software product (CellQuest™, WinMDI™, FlowJo™ and FCS Express™) were analyzed to obtain the estimated DNA content and the coefficient of variation (CV) of the estimates. The values of DNA content obtained from the software did not differ significantly. However, the CV analysis showed that the precision of the WinMDI™ software was low and that the CV values were underestimated, whereas the remaining software showed CV values that were in relatively close agreement with those found in the literature. The CellQuest™ software is recommended because it was developed by the same company that produces the flow cytometer used in the present study.A citometria de fluxo é uma técnica que apresenta resultados com extrema rapidez para análises de propriedades celulares como volume, complexidade morfológica e conteúdo de DNA, e é considerada mais conveniente que outras técnicas. Entretanto, as análises muitas vezes geram histogramas com variações que podem ser devidas a vários fatores, dentre os quais, as diferenças entre os softwares que realizam a aquisição dos dados gerados pelo citômetro de fluxo. Este trabalho foi realizado com o objetivo de avaliar o desempenho de quatro softwares comumente utilizados em análises de citometria de fluxo, por meio de quantificações do conteúdo de DNA e análises do coeficiente de variação gerados por eles. Foram realizadas leituras de 25 amostras foliares de bananeira ‘NBA’ (AA) utilizando o citômetro de fluxo modelo FACSCalibur (BD) e 25 histogramas de cada software (CellQuest™, WinMDI™, FlowJo™ e FCS Express™) foram analisados para obtenção do conteúdo de DNA estimado e do coeficiente de variação das estimativas. Não há diferença entre os softwares quanto aos valores de conteúdo de DNA. Entretanto, as análises do CV indicaram que a precisão do software WinMDI™ foi baixa e que os valores de CV foram subestimados, enquanto que os demais softwares apresentaram valores de CV mais condizentes com a literatura. O software CellQuest™ é recomendado por ser desenvolvido pela própria empresa fabricante do citômetro de fluxo utilizado nas análises do presente trabalho.Universidade Estadual de Londrina (UEL)2019-11-22T17:45:50Z2019-11-22T17:45:50Z2014-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfSILVA, R. A. L. et al. An assessment of software for flow cytometry analysis in banana plants. Semina: Ciências Agrárias, Londrina, v. 35, n. 2, p. 775-780, mar./abr. 2014. DOI: 10.5433/1679-0359.2014v35n2p775.http://repositorio.ufla.br/jspui/handle/1/37754Semina: Ciências Agráriasreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution-NonCommercial 4.0 Internationalhttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccessSilva, Renata Alves LaraPio, Leila Aparecida SallesPasqual, MoacirOliveira, Ana Catarina Lima deRodrigues, Filipe AlmendagnaSilva, Sebastião de Oliveira eeng2023-05-26T18:50:27Zoai:localhost:1/37754Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-26T18:50:27Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv An assessment of software for flow cytometry analysis in banana plants
Avaliação de softwares para análises de citometria de fluxo em bananeira
title An assessment of software for flow cytometry analysis in banana plants
spellingShingle An assessment of software for flow cytometry analysis in banana plants
Silva, Renata Alves Lara
Coefficient of variation
DNA content
CellQuest software
WinMDI software
FlowJo software
FCS Express software
Coeficiente de variação
Conteúdo de DNA
title_short An assessment of software for flow cytometry analysis in banana plants
title_full An assessment of software for flow cytometry analysis in banana plants
title_fullStr An assessment of software for flow cytometry analysis in banana plants
title_full_unstemmed An assessment of software for flow cytometry analysis in banana plants
title_sort An assessment of software for flow cytometry analysis in banana plants
author Silva, Renata Alves Lara
author_facet Silva, Renata Alves Lara
Pio, Leila Aparecida Salles
Pasqual, Moacir
Oliveira, Ana Catarina Lima de
Rodrigues, Filipe Almendagna
Silva, Sebastião de Oliveira e
author_role author
author2 Pio, Leila Aparecida Salles
Pasqual, Moacir
Oliveira, Ana Catarina Lima de
Rodrigues, Filipe Almendagna
Silva, Sebastião de Oliveira e
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Silva, Renata Alves Lara
Pio, Leila Aparecida Salles
Pasqual, Moacir
Oliveira, Ana Catarina Lima de
Rodrigues, Filipe Almendagna
Silva, Sebastião de Oliveira e
dc.subject.por.fl_str_mv Coefficient of variation
DNA content
CellQuest software
WinMDI software
FlowJo software
FCS Express software
Coeficiente de variação
Conteúdo de DNA
topic Coefficient of variation
DNA content
CellQuest software
WinMDI software
FlowJo software
FCS Express software
Coeficiente de variação
Conteúdo de DNA
description Flow cytometry is a technique that yields rapid results in analyses of cell properties such as volume, morphological complexity and quantitative DNA content, and it is considered more convenient than other techniques. However, the analysis usually generates histograms marked by variations that can be produced by many factors, including differences between the software packages that capture the data generated by the flow cytometer. The objective of the present work was to evaluate the performance of four software products commonly used in flow cytometry based on quantifications of DNA content and analyses of the coefficients of variation associated with the software outputs. Readings were obtained from 25 ‘NBA’ (AA) banana leaf samples using the FACSCalibur (BD) flow cytometer, and 25 histograms from each software product (CellQuest™, WinMDI™, FlowJo™ and FCS Express™) were analyzed to obtain the estimated DNA content and the coefficient of variation (CV) of the estimates. The values of DNA content obtained from the software did not differ significantly. However, the CV analysis showed that the precision of the WinMDI™ software was low and that the CV values were underestimated, whereas the remaining software showed CV values that were in relatively close agreement with those found in the literature. The CellQuest™ software is recommended because it was developed by the same company that produces the flow cytometer used in the present study.
publishDate 2014
dc.date.none.fl_str_mv 2014-04
2019-11-22T17:45:50Z
2019-11-22T17:45:50Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv SILVA, R. A. L. et al. An assessment of software for flow cytometry analysis in banana plants. Semina: Ciências Agrárias, Londrina, v. 35, n. 2, p. 775-780, mar./abr. 2014. DOI: 10.5433/1679-0359.2014v35n2p775.
http://repositorio.ufla.br/jspui/handle/1/37754
identifier_str_mv SILVA, R. A. L. et al. An assessment of software for flow cytometry analysis in banana plants. Semina: Ciências Agrárias, Londrina, v. 35, n. 2, p. 775-780, mar./abr. 2014. DOI: 10.5433/1679-0359.2014v35n2p775.
url http://repositorio.ufla.br/jspui/handle/1/37754
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution-NonCommercial 4.0 International
http://creativecommons.org/licenses/by-nc/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial 4.0 International
http://creativecommons.org/licenses/by-nc/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual de Londrina (UEL)
publisher.none.fl_str_mv Universidade Estadual de Londrina (UEL)
dc.source.none.fl_str_mv Semina: Ciências Agrárias
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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