Dynamic footprints of α-synucleinopathic mice recorded by CatWalk gait analysis

Characterizing gait is important in the study of movement disorders, also in clinical mouse models. Gait data are therefore necessary for the development of gait analysis methods and the study of diseases. This article presents gait data of two α-synucleinopathic transgenic mouse models and their no...

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Autores principales: Timotius, Ivanna K., Canneva, Fabio, Minakaki, Georgia, Pasluosta, Cristian, Moceri, Sandra, Casadei, Nicolas, Riess, Olaf, Winkler, Jürgen, Klucken, Jochen, von Hörsten, Stephan, Eskofier, Bjoern
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Cell biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988224/
https://www.ncbi.nlm.nih.gov/pubmed/29876385
http://dx.doi.org/10.1016/j.dib.2017.12.067
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author Timotius, Ivanna K.
Canneva, Fabio
Minakaki, Georgia
Pasluosta, Cristian
Moceri, Sandra
Casadei, Nicolas
Riess, Olaf
Winkler, Jürgen
Klucken, Jochen
von Hörsten, Stephan
Eskofier, Bjoern
author_facet Timotius, Ivanna K.
Canneva, Fabio
Minakaki, Georgia
Pasluosta, Cristian
Moceri, Sandra
Casadei, Nicolas
Riess, Olaf
Winkler, Jürgen
Klucken, Jochen
von Hörsten, Stephan
Eskofier, Bjoern
author_sort Timotius, Ivanna K.
collection PubMed
description Characterizing gait is important in the study of movement disorders, also in clinical mouse models. Gait data are therefore necessary for the development of gait analysis methods and the study of diseases. This article presents gait data of two α-synucleinopathic transgenic mouse models and their non-transgenic littermate, backcrossed into the C57BL/6N genetic background. The animal gait was recorded using CatWalk system, which provides the information for each run about the paw positions, paw print sizes, and paw intensities as a function of time or video frame. A total of 90 run data files are provided in this article.
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spelling pubmed-59882242018-06-06 Dynamic footprints of α-synucleinopathic mice recorded by CatWalk gait analysis Timotius, Ivanna K. Canneva, Fabio Minakaki, Georgia Pasluosta, Cristian Moceri, Sandra Casadei, Nicolas Riess, Olaf Winkler, Jürgen Klucken, Jochen von Hörsten, Stephan Eskofier, Bjoern Data Brief Cell biology Characterizing gait is important in the study of movement disorders, also in clinical mouse models. Gait data are therefore necessary for the development of gait analysis methods and the study of diseases. This article presents gait data of two α-synucleinopathic transgenic mouse models and their non-transgenic littermate, backcrossed into the C57BL/6N genetic background. The animal gait was recorded using CatWalk system, which provides the information for each run about the paw positions, paw print sizes, and paw intensities as a function of time or video frame. A total of 90 run data files are provided in this article. Elsevier 2018-01-03 /pmc/articles/PMC5988224/ /pubmed/29876385 http://dx.doi.org/10.1016/j.dib.2017.12.067 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Cell biology
Timotius, Ivanna K.
Canneva, Fabio
Minakaki, Georgia
Pasluosta, Cristian
Moceri, Sandra
Casadei, Nicolas
Riess, Olaf
Winkler, Jürgen
Klucken, Jochen
von Hörsten, Stephan
Eskofier, Bjoern
Dynamic footprints of α-synucleinopathic mice recorded by CatWalk gait analysis
title Dynamic footprints of α-synucleinopathic mice recorded by CatWalk gait analysis
title_full Dynamic footprints of α-synucleinopathic mice recorded by CatWalk gait analysis
title_fullStr Dynamic footprints of α-synucleinopathic mice recorded by CatWalk gait analysis
title_full_unstemmed Dynamic footprints of α-synucleinopathic mice recorded by CatWalk gait analysis
title_short Dynamic footprints of α-synucleinopathic mice recorded by CatWalk gait analysis
title_sort dynamic footprints of α-synucleinopathic mice recorded by catwalk gait analysis
topic Cell biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988224/
https://www.ncbi.nlm.nih.gov/pubmed/29876385
http://dx.doi.org/10.1016/j.dib.2017.12.067
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