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
- Institución
- Universidad Maza
- OAI Identificador
- oai:repositorio.umaza.edu.ar:00261/3593
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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/ |
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openAccess |
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https://creativecommons.org/licenses/by-nc-sa/4.0/ |
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UMaza Digital |
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