Artículo
Dataset of the construction and characterization of stable biological nanoparticles
Gisonno, Romina Antonela
; Tricerri, Maria Alejandra
; Gonzalez, Marina Cecilia
; Garda, Horacio Alberto
; Ramella, Nahuel
; Díaz Ludovico, Ivo
Fecha de publicación:
12/2020
Editorial:
Elsevier Science
Revista:
Data in Brief
ISSN:
2352-3409
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
This article shows the dataset of clearance assays and the reconstitution of stable biological nano-complexes using both detergent-assisted and spontaneous solubilization of phospholipids by the recombinant purified apolipoprotein A-I (apoA-I). Protein was intra-chain crosslinked in order to introduce steric constrains. Then, native and crosslinked protein function was evaluated by a data collection of dimiristoyl phosphatidyl choline (DMPC) micellization curves. Additionally, resulting particles from spontaneous or detergent-assisted lipid solubilization were characterized by transmission electron microscopy (TEM), size exclusion chromatography (SEC), and native polyacrylamide gel electrophoresis (PAGE). Here we set up an experimental design that may help study protein structure based on its function, since interaction with biological membranes and lipids is an intrinsic activity attributed to many proteins in circulation. In addition, by t-test analysis of collected-data, we examined the formation of lipoprotein particles by native and intra-chain crosslinked proteins under different conditions like temperature and time incubation. Thus, data shown here strengthen the usefulness of an easy, rapid, accessible and inexpensive approach to test protein flexibility related to its function.
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Articulos(INIBIOLP)
Articulos de INST.DE INVEST.BIOQUIMICAS DE LA PLATA
Articulos de INST.DE INVEST.BIOQUIMICAS DE LA PLATA
Citación
Gisonno, Romina Antonela; Tricerri, Maria Alejandra; Gonzalez, Marina Cecilia; Garda, Horacio Alberto; Ramella, Nahuel; et al.; Dataset of the construction and characterization of stable biological nanoparticles; Elsevier Science; Data in Brief; 33; 12-2020; 1-11
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