Single Cell RNASeq of motor cortex in a mouse model of alpha-synuclein pathology
Author ORCID
Viktor Feketa 0000-0003-4978-0581
Elena Gracheva 0000-0002-0846-3427
Michael Henderson 0000-0001-9710-0726
Elizabeth Breton 0000-0001-9968-1878
Lindsay Meyerdirk 0000-0003-4640-9517
Laura Volpicelli-Daley 0000-0001-8934-4018
Marissa Menard 0000-0002-0976-3448
Thomas Biederer 0000-0003-0912-1514
Publication Date
6-12-2025
Abstract
This Zenodo deposit contains a publicly available description of the Dataset:
Title: "Single Cell RNASeq of motor cortex in a mouse model of alpha-synuclein pathology".
Description: This dataset was created with the goal of identifying transcriptomic changes associated with alpha-synuclein pathology in the alpha-synuclein fibril seeding mouse model. The dataset includes single cell RNA Sequencing data from motor cortex of mice injected with alpha-synuclein pre-formed fibrils ("PFF" group) or alpha-synuclein monomer as controls ("Control" group). The dataset includes subject cohorts with different levels of the following additional experimental factors: sex (male or female); brain hemisphere relative to the PFF injection site (ipsilateral or contralateral); time post-injection (1, 3, 6, or 9 months post-injection).
This dataset is made available to researchers via the ASAP CRN Cloud: cloud.parkinsonsroadmap.org. Instructions for how to request access can be found in the User Manual.
This research was funded by the Aligning Science Across Parkinson's Collaborative Research Network (ASAP CRN), through the Michael J. Fox Foundation for Parkinson's Research (MJFF).
This Zenodo deposit was created by the ASAP CRN Cloud staff on behalf of the dataset authors. It provides a citable reference for a CRN Cloud Dataset
Repository
Zenodo
Distribution License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Access Instructions
This data is available under the CC-BY 4.0 License
Funder
Funder: Aligning Science Across Parkinson's
Funder DOI: 10.13039/100018231
Understanding and manipulating cellular and circuit-level vulnerability to neurodegeneration in Parkinson’s disease
ASAP-020616