Statistical validation of triple colocalization analysis

Autores
Buonfigli, Julio; Quintero, Cristian; Sánchez, Diego; Leiva, Natalia; Damiani, Maria Teresa
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fil: Buonfigli, Julio. Universidad Nacional de Cuyo. Facultad de Medicina. Laboratorio de Fagocitosis y Transporte intracelular. Instituto de Medicina y Biología Experimental de Cuyo - Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Quintero, Cristian. Universidad Juan Agustín Maza. Laboratorio de Biología Molecular y Celular; Argentina
Fil: Quintero, Cristian. Facultad de Ciencias Médicas, Universidad de Mendoza, Mendoza, Argentina
Fil: Sánchez, Diego. Universidad Nacional de Cuyo. Facultad de Medicina. Laboratorio de Fagocitosis y Transporte intracelular. Instituto de Medicina y Biología Experimental de Cuyo - Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Leiva, Natalia. Universidad Nacional de Cuyo. Facultad de Ciencias Médicas. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Leiva, Natalia. Universidad Nacional de Cuyo. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Damiani, Maria Teresa. Universidad Nacional de Cuyo. Facultad de Medicina. Laboratorio de Fagocitosis y Transporte intracelular. Instituto de Medicina y Biología Experimental de Cuyo - Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Background: in the last decades, colocalization analysis of fluorescently tagged biomolecules has proven to be a powerful approach to studying functional relationships between these biomolecules. However, in many cases, to give this analysis a biological meaning, colocalization coefficients must be tested statistically, comparing them with the colocalization expected by chance. Aim: It addressed the statistical significance of triple colocalization to distinguish real triple colocalization and classify different triple signal scenarios. Methods: we use biological and generated images of triple signal scenarios to contrast seven independent statistical facts with independent statistical tests. Three of these tests correspond to pairwise relationships (double scrambling tests), and the others correspond to triple relationships: single scrambling tests (red, green, and blue scrambling) and the triple scrambling test. The analysis and methodology proposed can be reproduced using the application developed in our laboratory. Results: In the study approach, we found true triple relationships ignored by using traditional methods of computing the statistical significance, while we could reinterpret cases of not significant triple colocalization wrongly considered as significant by traditional methods. Discussion: single scrambling tests can reveal significant triple colocalization for low levels of triple co-occurrence, even when all pairwise relationships were exclusion relationships. Moreover, on the other hand, single scrambling tests can reveal the absence of a significant triple colocalization for high levels of triple co-occurrence, even when all pairwise relationships were significant colocalization. Conclusion: all scrambling tests are useful to classify a specific scenario of a triple relationship. Dynamics like mitosis can be distinguished into their phases by triple signal relationships using these 7 independent statistical tests.
Materia
Scrambling
Overlapping
Significance
Correlation
Triple
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
UMaza Digital
Institución
Universidad Maza
OAI Identificador
oai:repositorio.umaza.edu.ar:00261/3593

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network_name_str UMaza Digital
spelling Statistical validation of triple colocalization analysisBuonfigli, JulioQuintero, CristianSánchez, DiegoLeiva, NataliaDamiani, Maria TeresaScramblingOverlappingSignificanceCorrelationTripleFil: Buonfigli, Julio. Universidad Nacional de Cuyo. Facultad de Medicina. Laboratorio de Fagocitosis y Transporte intracelular. Instituto de Medicina y Biología Experimental de Cuyo - Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Quintero, Cristian. Universidad Juan Agustín Maza. Laboratorio de Biología Molecular y Celular; ArgentinaFil: Quintero, Cristian. Facultad de Ciencias Médicas, Universidad de Mendoza, Mendoza, ArgentinaFil: Sánchez, Diego. Universidad Nacional de Cuyo. Facultad de Medicina. Laboratorio de Fagocitosis y Transporte intracelular. Instituto de Medicina y Biología Experimental de Cuyo - Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Leiva, Natalia. Universidad Nacional de Cuyo. Facultad de Ciencias Médicas. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Leiva, Natalia. Universidad Nacional de Cuyo. Facultad de Ciencias Exactas y Naturales; ArgentinaFil: Damiani, Maria Teresa. Universidad Nacional de Cuyo. Facultad de Medicina. Laboratorio de Fagocitosis y Transporte intracelular. Instituto de Medicina y Biología Experimental de Cuyo - Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaBackground: in the last decades, colocalization analysis of fluorescently tagged biomolecules has proven to be a powerful approach to studying functional relationships between these biomolecules. However, in many cases, to give this analysis a biological meaning, colocalization coefficients must be tested statistically, comparing them with the colocalization expected by chance. Aim: It addressed the statistical significance of triple colocalization to distinguish real triple colocalization and classify different triple signal scenarios. Methods: we use biological and generated images of triple signal scenarios to contrast seven independent statistical facts with independent statistical tests. Three of these tests correspond to pairwise relationships (double scrambling tests), and the others correspond to triple relationships: single scrambling tests (red, green, and blue scrambling) and the triple scrambling test. The analysis and methodology proposed can be reproduced using the application developed in our laboratory. Results: In the study approach, we found true triple relationships ignored by using traditional methods of computing the statistical significance, while we could reinterpret cases of not significant triple colocalization wrongly considered as significant by traditional methods. Discussion: single scrambling tests can reveal significant triple colocalization for low levels of triple co-occurrence, even when all pairwise relationships were exclusion relationships. Moreover, on the other hand, single scrambling tests can reveal the absence of a significant triple colocalization for high levels of triple co-occurrence, even when all pairwise relationships were significant colocalization. Conclusion: all scrambling tests are useful to classify a specific scenario of a triple relationship. Dynamics like mitosis can be distinguished into their phases by triple signal relationships using these 7 independent statistical tests.2023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfBuonfigli, J., Quintero, C., Sánchez, D., Leiva, N., & Damiani, M. T. (2023). Statistical validation of triple colocalization analysis. Southern Brazilian Journal of Chemistry, 31(36), 45–62. https://doi.org/10.48141/SBJCHEM.v31.n36.2023_BUONFIGLI_pgs_45_62https://repositorio.umaza.edu.ar/handle/00261/3593enginfo:eu-repo/semantics/altIdentifier/url/10.48141/SBJCHEM.v31.ninfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/reponame:UMaza Digitalinstname:Universidad Maza2025-09-29T14:29:15Zoai:repositorio.umaza.edu.ar:00261/3593instacron:UMAZAInstitucionalhttp://repositorio.umaza.edu.ar/Universidad privadaNo correspondehttp://repositorio.umaza.edu.ar/oaicienciaytecnica@umaza.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:44192025-09-29 14:29:15.526UMaza Digital - Universidad Mazafalse
dc.title.none.fl_str_mv Statistical validation of triple colocalization analysis
title Statistical validation of triple colocalization analysis
spellingShingle Statistical validation of triple colocalization analysis
Buonfigli, Julio
Scrambling
Overlapping
Significance
Correlation
Triple
title_short Statistical validation of triple colocalization analysis
title_full Statistical validation of triple colocalization analysis
title_fullStr Statistical validation of triple colocalization analysis
title_full_unstemmed Statistical validation of triple colocalization analysis
title_sort Statistical validation of triple colocalization analysis
dc.creator.none.fl_str_mv Buonfigli, Julio
Quintero, Cristian
Sánchez, Diego
Leiva, Natalia
Damiani, Maria Teresa
author Buonfigli, Julio
author_facet Buonfigli, Julio
Quintero, Cristian
Sánchez, Diego
Leiva, Natalia
Damiani, Maria Teresa
author_role author
author2 Quintero, Cristian
Sánchez, Diego
Leiva, Natalia
Damiani, Maria Teresa
author2_role author
author
author
author
dc.subject.none.fl_str_mv Scrambling
Overlapping
Significance
Correlation
Triple
topic Scrambling
Overlapping
Significance
Correlation
Triple
dc.description.none.fl_txt_mv Fil: Buonfigli, Julio. Universidad Nacional de Cuyo. Facultad de Medicina. Laboratorio de Fagocitosis y Transporte intracelular. Instituto de Medicina y Biología Experimental de Cuyo - Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Quintero, Cristian. Universidad Juan Agustín Maza. Laboratorio de Biología Molecular y Celular; Argentina
Fil: Quintero, Cristian. Facultad de Ciencias Médicas, Universidad de Mendoza, Mendoza, Argentina
Fil: Sánchez, Diego. Universidad Nacional de Cuyo. Facultad de Medicina. Laboratorio de Fagocitosis y Transporte intracelular. Instituto de Medicina y Biología Experimental de Cuyo - Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Leiva, Natalia. Universidad Nacional de Cuyo. Facultad de Ciencias Médicas. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Leiva, Natalia. Universidad Nacional de Cuyo. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Damiani, Maria Teresa. Universidad Nacional de Cuyo. Facultad de Medicina. Laboratorio de Fagocitosis y Transporte intracelular. Instituto de Medicina y Biología Experimental de Cuyo - Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Background: in the last decades, colocalization analysis of fluorescently tagged biomolecules has proven to be a powerful approach to studying functional relationships between these biomolecules. However, in many cases, to give this analysis a biological meaning, colocalization coefficients must be tested statistically, comparing them with the colocalization expected by chance. Aim: It addressed the statistical significance of triple colocalization to distinguish real triple colocalization and classify different triple signal scenarios. Methods: we use biological and generated images of triple signal scenarios to contrast seven independent statistical facts with independent statistical tests. Three of these tests correspond to pairwise relationships (double scrambling tests), and the others correspond to triple relationships: single scrambling tests (red, green, and blue scrambling) and the triple scrambling test. The analysis and methodology proposed can be reproduced using the application developed in our laboratory. Results: In the study approach, we found true triple relationships ignored by using traditional methods of computing the statistical significance, while we could reinterpret cases of not significant triple colocalization wrongly considered as significant by traditional methods. Discussion: single scrambling tests can reveal significant triple colocalization for low levels of triple co-occurrence, even when all pairwise relationships were exclusion relationships. Moreover, on the other hand, single scrambling tests can reveal the absence of a significant triple colocalization for high levels of triple co-occurrence, even when all pairwise relationships were significant colocalization. Conclusion: all scrambling tests are useful to classify a specific scenario of a triple relationship. Dynamics like mitosis can be distinguished into their phases by triple signal relationships using these 7 independent statistical tests.
description Fil: Buonfigli, Julio. Universidad Nacional de Cuyo. Facultad de Medicina. Laboratorio de Fagocitosis y Transporte intracelular. Instituto de Medicina y Biología Experimental de Cuyo - Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
publishDate 2023
dc.date.none.fl_str_mv 2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv Buonfigli, J., Quintero, C., Sánchez, D., Leiva, N., & Damiani, M. T. (2023). Statistical validation of triple colocalization analysis. Southern Brazilian Journal of Chemistry, 31(36), 45–62. https://doi.org/10.48141/SBJCHEM.v31.n36.2023_BUONFIGLI_pgs_45_62
https://repositorio.umaza.edu.ar/handle/00261/3593
identifier_str_mv Buonfigli, J., Quintero, C., Sánchez, D., Leiva, N., & Damiani, M. T. (2023). Statistical validation of triple colocalization analysis. Southern Brazilian Journal of Chemistry, 31(36), 45–62. https://doi.org/10.48141/SBJCHEM.v31.n36.2023_BUONFIGLI_pgs_45_62
url https://repositorio.umaza.edu.ar/handle/00261/3593
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/10.48141/SBJCHEM.v31.n
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
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application/pdf
dc.source.none.fl_str_mv reponame:UMaza Digital
instname:Universidad Maza
reponame_str UMaza Digital
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instname_str Universidad Maza
repository.name.fl_str_mv UMaza Digital - Universidad Maza
repository.mail.fl_str_mv cienciaytecnica@umaza.edu.ar
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