Academic Journal

Automated quantification of protein periodic nanostructures in fluorescence nanoscopy images: Abundance and regularity of neuronal spectrin membrane-associated skeleton

التفاصيل البيبلوغرافية
العنوان: Automated quantification of protein periodic nanostructures in fluorescence nanoscopy images: Abundance and regularity of neuronal spectrin membrane-associated skeleton
المؤلفون: Barabas, Federico Martín, Masullo, Luciano Andrés, Bordenave, Martín Diego, Giusti, Sebastian Alejandro, Unsain, Nicolas, Refojo, Damian, Caceres, Alfredo Oscar, Stefani, Fernando Daniel
بيانات النشر: Nature Publishing Group
المجموعة: CONICET Digital (Consejo Nacional de Investigaciones Científicas y Técnicas)
مصطلحات موضوعية: PROTEIN SELF-ASSEMBLY, SUPER-RESOLUTION, NEURON, CYTOSKELETON, https://purl.org/becyt/ford/1.6, https://purl.org/becyt/ford/1
الوصف: Fluorescence nanoscopy imaging permits the observation of periodic supramolecular protein structures in their natural environment, as well as the unveiling of previously unknown protein periodic structures. Deciphering the biological functions of such protein nanostructures requires systematic and quantitative analysis of large number of images under different experimental conditions and specific stimuli. Here we present a method and an open source software for the automated quantification of protein periodic structures in super-resolved images. Its performance is demonstrated by analyzing the abundance and regularity of the spectrin membrane-associated periodic skeleton (MPS) in hippocampal neurons of 2 to 40 days in vitro, imaged by STED and STORM nanoscopy. The automated analysis reveals that both the abundance and the regularity of the MPS increase over time and reach maximum plateau values after 14 DIV. A detailed analysis of the distributions of correlation coefficients provides indication of dynamical assembly and disassembly of the MPS. ; Fil: Barabas, Federico Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Bionanociencias ; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina ; Fil: Masullo, Luciano Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Bionanociencias ; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina ; Fil: Bordenave, Martín Diego. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Bionanociencias ; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina ; Fil: Giusti, Sebastian Alejandro. Consejo ...
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
تدمد: 0068-1261
2045-2322
Relation: info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41598-017-16280-x; http://hdl.handle.net/11336/54317; Barabas, Federico Martín; Masullo, Luciano Andrés; Bordenave, Martín Diego; Giusti, Sebastian Alejandro; Unsain, Nicolas; et al.; Automated quantification of protein periodic nanostructures in fluorescence nanoscopy images: Abundance and regularity of neuronal spectrin membrane-associated skeleton; Nature Publishing Group; Scientific Reports; 7; 1; 12-2017; 1-10; CONICET Digital; CONICET
الاتاحة: http://hdl.handle.net/11336/54317
Rights: info:eu-repo/semantics/openAccess ; https://creativecommons.org/licenses/by/2.5/ar/
رقم الانضمام: edsbas.957F0B0
قاعدة البيانات: BASE