3 Works

Data from: The Golgi-localized γ-ear-containing ARF-binding (GGA) proteins alter amyloid-β precursor protein (APP) processing through interaction of their GAE domain with the beta-site APP cleaving enzyme 1 (BACE1)

Bjoern Von Einem, Anke Wahler, Tobias Schips, Alberto Serrano-Pozo, Christian Proepper, Tobias M. Boeckers, Angelika Rueck, Thomas Wirth, Bradley T. Hyman, Karin M. Danzer, Dietmar R. Thal & Christine A. F. Von Arnim
Proteolytic processing of amyloid-β precursor protein (APP) by beta-site APP cleaving enzyme 1 (BACE1) is the initial step in the production of amyloid beta (Aβ), which accumulates in senile plaques in Alzheimer’s disease (AD). Essential for this cleavage is the transport and sorting of both proteins through endosomal/Golgi compartments. Golgi-localized γ-ear-containing ARF-binding (GGA) proteins have striking cargo-sorting functions in these pathways. Recently, GGA1 and GGA3 were shown to interact with BACE1, to be expressed in...

Data from: Diffusion tensor imaging in patients with glioblastoma multiforme using the supertoroidal model

Choukri Mekkaoui, Philippe Metellus, William J. Kostis, Roberto Martuzzi, Fabricio R. Pereira, Jean-Paul Beregi, Timothy G. Reese, Todd R. Constable & Marcel P. Jackowski
Purpose: Diffusion Tensor Imaging (DTI) is a powerful imaging technique that has led to improvements in the diagnosis and prognosis of cerebral lesions and neurosurgical guidance for tumor resection. Traditional tensor modeling, however, has difficulties in differentiating tumor-infiltrated regions and peritumoral edema. Here, we describe the supertoroidal model, which incorporates an increase in surface genus and a continuum of toroidal shapes to improve upon the characterization of Glioblastoma multiforme (GBM). Materials and Methods: DTI brain...

Data from: Multi-contrast submillimetric 3-Tesla hippocampal subfield segmentation protocol and dataset

Jessie Kulaga-Yoskovitz, Boris C. Bernhardt, Seok-Jun Hong, Tommaso Mansi, Kevin E. Liang, Andre J. W. Van Der Kouwe, Jonathan Smallwood, Andrea Bernasconi & Neda Bernasconi
The hippocampus is composed of distinct anatomical subregions that participate in multiple cognitive processes and are differentially affected in prevalent neurological and psychiatric conditions. Advances in high-field MRI allow for the non-invasive identification of hippocampal substructure. These approaches, however, demand time-consuming manual segmentation that relies heavily on anatomical expertise. Here, we share manual labels and associated high-resolution MRI data (MNI-HISUB25; submillimetric T1- and T2-weighted images, detailed sequence information, and stereotaxic probabilistic anatomical maps) based on...

Registration Year

  • 2015

Resource Types

  • Dataset


  • Massachusetts General Hospital
  • McGill University
  • École Polytechnique Fédérale de Lausanne
  • University of Ulm
  • University of Sao Paulo
  • Yale University
  • University of York