L-DOPA induces spatially discrete gene expression changes in the forebrain of mice with progressive loss of dopaminergic neurons
Creators
Description
This zenodo project contains data from the project aimed at deciphering L-DOPA-induced changes in gene expression in the forebrain of dopamine-depleted mice (a model of Parkinson's disease), using spatial transcriptomics.
The dataset consists of the following files:
Phenotypic datasets
genotypes.csv - list of mouse used in the experiment and their most important characteristics
nor_boris_input.csv - data obtained from the Novel Object Recognition (NOR) test, used for analyses in R
nor-objects.xlsx - schedule for placement of objects in the NOR test
.mpg files - raw files recorded for each mouse during the NOR test
nor_preludium_2_cohorts.boris - file with the analysis of the NOR test in the BORIS software
rotarod_preludium.xlsx - results of the accelerating rotarod test
open-field.csv - results of open field test
oss-joint.csv - results of the operant sensation seeking test
.xlsx files with "RunStatistics" phrase in the filename - results from CatWalk XT sessions
files starting with "weight_" - weight measurements for each mouse in the 2 cohorts, for each of two experiment periods recorded separately
.tif files with the phrase "gamma" in the filename - fluorescent microscope images of brain sections with green signal derived from the presence of TH
Transcriptomic data
.RData files - large R files with SeuratObjects, used for analysis
.tif files named after samples (e.g., "S5023Nr1.tif") - bright field microscope images of forebrain H&E-stained sections used in spatial transcriptomic analyses and visualization
.json files - derived from .tif H&E tissue images and created with Loupe Browser; used in spaceranger analyses
results.tsv - list of 121 differentially expressed genes across different clusters (181 records in total)
table_for_heatmap_reads.csv - table with data used for creating heatmaps
cluster_markers.csv - list of marker genes for each cluster, a result of FindAllMarker function in the Seurat software
.pdf files - depict spot assignment to clusters on a UMAP and corresponding to their spatial coordinates on the H&E sections images
files_and_samples.csv - a table connecting mice IDs, sample IDs and slide IDs
Files
1-1_1_C Merged_gamma_0.5_Resize001.tif
Files
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Additional details
Funding
- National Science Centre
- Spatial analysis of the effects of L-DOPA on gene expression in the prefrontal cortex in a mouse model of Parkinson’s disease 2020/37/N/NZ4/03672
Software
- Repository URL
- https://github.com/annaradli/tif-ldopa-spatial