Synthesis of core-shell hybrid nanoparticles with pH responsive core and silica shell and their surface characterization
MATERIALS LETTERS
Authors: Garcia-Uriostegui, L.; Delgado, Ezequiel; Melendez-Ortiz, H., I; Toriz, Guillermo
Abstract
Herein, the preparation of pH-sensitive core-shell hybrid nanoparticles is reported. The core, prepared by emulsion polymerization, consisted of a copolymer of polyvinylimidazole (PVIm) and 3-(trimethoxysilyl) propylmethacrylate (TMSPMA). The silica shell, obtained by sol-gel synthesis, was anchored to the core at the TMSPMA moiety via silane linking. The pH response and the size of the nanoparticles were tuned by adjusting the quantity of VIm. The shell in the particles helps to decrease the drug release around tumoral pH (6.5-7.2). (C) 2020 Elsevier B.V. All rights reserved.
The Allen Mouse Brain Common Coordinate Framework: A 3D Reference Atlas
CELL
Authors: Wang, Quanxin; Ding, Song-Lin; Li, Yang; Royall, Josh; Feng, David; Lesnar, Phil; Graddis, Nile; Naeemi, Maitham; Facer, Benjamin; Ho, Anh; Dolbeare, Tim; Blanchard, Brandon; Dee, Nick; Wakeman, Wayne; Hirokawa, Karla E.; Szafer, Aaron; Sunkin, Susan M.; Oh, Seung Wook; Bernard, Amy; Phillips, John W.; Hawrylycz, Michael; Koch, Christof; Zeng, Hongkui; Harris, Julie A.; Ng, Lydia
Abstract
Recent large-scale collaborations are generating major surveys of cell types and connections in the mouse brain, collecting large amounts of data across modalities, spatial scales, and brain areas. Successful integration of these data requires a standard 3D reference atlas. Here, we present the Allen Mouse Brain Common Coordinate Framework (CCFv3) as such a resource. We constructed an average template brain at 10 vim voxel resolution by interpolating high resolution in-plane serial two-photon tomography images with 100 mu m z-sampling from 1,675 young adult C57BL/6J mice. Then, using multimodal reference data, we parcellated the entire brain directly in 3D, labeling every voxel with a brain structure spanning 43 isocortical areas and their layers, 329 subcortical gray matter structures, 81 fiber tracts, and 8 ventricular structures. CCFv3 can be used to analyze, visualize, and integrate multimodal and multiscale datasets in 3D and is openly accessible (https://atlas.brain-map.org/).