NSC-Reconstruct: Novel Strategies for Cell-based Neural Reconstruction
Published August 4, 2021 | Version V1.0
Dataset Open

NSCR_Dataset_2020

Authors/Creators

  • 1. Neuroscience Department, University of Turin
  • 2. Department of Biosciences, University of Milan
  • 3. Institute of Molecular Bioimaging and Physiology of CNR
  • 4. PET and Nuclear Medicine Unit, San Raffaele Scientific Institute, Milan
  • 5. Wallenberg Neuroscience Center and Lund Stem Cell Center, Lund University
  • 6. Department of Biology and Biotechnologies, University of Pavia

Description

The University of Turin (UniTO) released the open-access dataset NSCR_Dataset collected for the  NEUROSTEMCELLREPAIR (602278) and NSC-Reconstruct (874758) European stem cell consortia for neural cell replacement, reprogramming and functional brain repair (602278)  (https://www.nsc-reconstruct.com/en/index.do).

NSCR-Dataset is a dataset of analysis of histological ex-vivo brain samples and behavioral parameters from Huntington's Disease (HD) rat models, after cell replacement approach of striatal progenitor cells at the site of grafting - the striatum, at different time point (see for details at short time-points: https://www.sciencedirect.com/science/article/pii/S2213671120301089?via%3Dihub). The UniTO team released this dataset publicly.

The dataset contains images of brain tissue stained for different cellular and molecular markers, acquired with transmission and confocal microscopes, from which analysis were performed, and the behavioral data obtained every month by testing the HD animals in different motor tasks.

High-resolution images have been acquired; the images will be made available.

Files

NSCR_texts_ABBR.LIST_V.1.0_WP3_UNITO_2020.xlsx.pdf

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Additional details

Related works

Cites
Journal article: 10.1016/j.stemcr.2020.03.018 (DOI)

Funding

European Commission
NEUROSTEMCELLREPAIR - European stem cell consortium for neural cell replacement, reprogramming and functional brain repair 602278
European Commission
NSC-Reconstruct - Novel Strategies for Cell-based Neural Reconstruction 874758