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Abstract:

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. © 2017 The Author(s).

Registro:

Documento: Artículo
Título:Automated quantification of protein periodic nanostructures in fluorescence nanoscopy images: Abundance and regularity of neuronal spectrin membrane-associated skeleton
Autor:Barabas, F.M.; Masullo, L.A.; Bordenave, M.D.; Giusti, S.A.; Unsain, N.; Refojo, D.; Cáceres, A.; Stefani, F.D.
Filiación:Centro de Investigaciones en Bionanociencias (CIBION), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2390, Buenos Aires, C1425FQD, Argentina
Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Pabellón 1 Ciudad Universitaria, Buenos Aires, C1428EHA, Argentina
Laboratorio de Neurobiología Molecular, Instituto de Investigación en Biomedicina de Buenos Aires (IBioBA), CONICET - Partner Institute of the Max Planck Society, Godoy Cruz, 2390, Buenos Aires, C1425FQD, Argentina
Laboratorio de Neurobiología, Instituto de Investigación Médica Mercedes y Martín Ferreyra (INIMEC, CONICET), Friuli 2434, Córdoba, 5016, Argentina
Universidad Nacional de Córdoba (UNC), Av. Haya de la Torre S/n, Córdoba, 5000, Argentina
Año:2017
Volumen:7
Número:1
DOI: http://dx.doi.org/10.1038/s41598-017-16280-x
Título revista:Scientific Reports
Título revista abreviado:Sci. Rep.
ISSN:20452322
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_20452322_v7_n1_p_Barabas

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Citas:

---------- APA ----------
Barabas, F.M., Masullo, L.A., Bordenave, M.D., Giusti, S.A., Unsain, N., Refojo, D., Cáceres, A.,..., Stefani, F.D. (2017) . Automated quantification of protein periodic nanostructures in fluorescence nanoscopy images: Abundance and regularity of neuronal spectrin membrane-associated skeleton. Scientific Reports, 7(1).
http://dx.doi.org/10.1038/s41598-017-16280-x
---------- CHICAGO ----------
Barabas, F.M., Masullo, L.A., Bordenave, M.D., Giusti, S.A., Unsain, N., Refojo, D., et al. "Automated quantification of protein periodic nanostructures in fluorescence nanoscopy images: Abundance and regularity of neuronal spectrin membrane-associated skeleton" . Scientific Reports 7, no. 1 (2017).
http://dx.doi.org/10.1038/s41598-017-16280-x
---------- MLA ----------
Barabas, F.M., Masullo, L.A., Bordenave, M.D., Giusti, S.A., Unsain, N., Refojo, D., et al. "Automated quantification of protein periodic nanostructures in fluorescence nanoscopy images: Abundance and regularity of neuronal spectrin membrane-associated skeleton" . Scientific Reports, vol. 7, no. 1, 2017.
http://dx.doi.org/10.1038/s41598-017-16280-x
---------- VANCOUVER ----------
Barabas, F.M., Masullo, L.A., Bordenave, M.D., Giusti, S.A., Unsain, N., Refojo, D., et al. Automated quantification of protein periodic nanostructures in fluorescence nanoscopy images: Abundance and regularity of neuronal spectrin membrane-associated skeleton. Sci. Rep. 2017;7(1).
http://dx.doi.org/10.1038/s41598-017-16280-x