Spatial Transcriptomics of the Striatum of Two Murine Parkinson's Disease Models.

This Zenodo deposit contains a publicly available description of the Dataset: Title: "Spatial Transcriptomics of the Striatum of Two Murine Parkinson's Disease Models.". Description: This dataset includes Spatial Transcriptomics (ST) data derived from mouse models of Parkinson's disease (PD), designed to capture both cell-type-specific and spatial gene expression changes across different stages and mechanisms of PD-like pathology. The Mild Neurotoxin Model (6-OHDA): Adult wild-type mice received unilateral injections of 6-hydroxydopamine (6-OHDA) at a low dose (0.6 µg/µL) into the medial forebrain bundle (MFB), selectively damaging nigrostriatal dopaminergic neurons and inducing mild Parkinsonian pathology. Untreated wild-type mice served as controls. Spatial gene expression profiling was conducted on the striata of mice from the mild 6-OHDA model to preserve anatomical context. Tissue sections were collected from six adult mice — three 6-OHDA-treated and three untreated controls. For each animal, four rostro-caudal levels of the striatum were analyzed, capturing regional heterogeneity in response to dopaminergic denervation. The 10X Genomics Visium platform was used to generate spatially resolved transcriptomic maps. This ST dataset allows for the visualization and quantification of spatial patterns in gene expression following mild dopaminergic injury, complementing the cell-type-specific insights gained from the snRNA-seq data. 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本Zenodo存档提供了该数据集的公开说明： 数据集标题：《两种小鼠帕金森病模型纹状体的空间转录组学》 数据集说明：本数据集包含源自帕金森病（Parkinson's Disease, PD）小鼠模型的空间转录组学（Spatial Transcriptomics, ST）数据，旨在捕捉类帕金森病理不同进程与机制下的细胞类型特异性及空间基因表达变化。 轻度神经毒素模型（6-羟基多巴胺模型, 6-OHDA）：对成年野生型小鼠单侧内侧前脑束（medial forebrain bundle, MFB）注射低剂量（0.6 µg/µL）的6-羟基多巴胺（6-hydroxydopamine, 6-OHDA），可选择性损伤黑质纹状体多巴胺能神经元，诱发轻度帕金森样病理改变。未接受处理的野生型小鼠作为对照。为保留解剖学背景，对轻度6-OHDA模型小鼠的纹状体开展空间基因表达谱分析。本研究收集了6只成年小鼠的组织切片：其中3只为6-OHDA处理组，3只为未处理对照组。对每只小鼠的纹状体4个吻尾层面进行分析，以捕捉多巴胺能去神经支配后的区域异质性。本研究采用10X Genomics Visium平台生成空间分辨转录组图谱。该ST数据集可实现轻度多巴胺能损伤后基因表达空间模式的可视化与定量分析，可补充单细胞核RNA测序（single-nucleus RNA sequencing, snRNA-seq）数据所获得的细胞类型特异性认知。 本数据集通过ASAP CRN云平台（cloud.parkinsonsroadmap.org）向研究人员开放，访问申请指南可参阅用户手册。 本研究由协调帕金森病研究科学协作网络（Aligning Science Across Parkinson's Collaborative Research Network, ASAP CRN）通过迈克尔·J·福克斯帕金森病研究基金会（Michael J. Fox Foundation for Parkinson's Research, MJFF）资助。 本Zenodo存档由ASAP CRN云平台工作人员代表数据集作者创建，可为CRN云平台数据集提供可引用的参考文献。