Datasets Comparison
Version 1
Spatial transcriptomics reveals genes associated with dysregulated mitochondrial functions and stress signaling in Alzheimer's disease
Description
This is the public data repository for the the work presented in Navarro and Croteau et al. iScience, 2020. https://doi.org/10.1016/j.isci.2020.101556
The repository contains 48 Spatial Tancriptomics (ST) sections (24 of the hippocampus and 24 of the olfactory bulb).
The sections were obtained from an Alzheimer´s disease mouse model:
3xAD, 3xPB, 3xPB and WT
For each section, we have deposited the following:
- H&E file
- Matrix of counts
We also included the merged matrices of counts and meta files.
The results of the analyses are also present (factor analysis clusters, DE analysis genes, pathways, etc...).
Steps to reproduce
See Methods sections in the paper. Some tools used are the following:
https://github.com/jfnavarro/st_pipeline
https://github.com/jfnavarro/st_analysis
https://github.com/jfnavarro/AD_POLB_ST
https://github.com/jfnavarro/spatial-transcriptome-deconvolution
Institutions
KTH Royal Institute of Technology Gene technology
Categories
Bioinformatics, Neurodegenerative Disorder, Machine Learning, Alzheimer's Disease, Transcriptomics, Spatial Analysis
Licence
Creative Commons Attribution 4.0 International
Version 2
Spatial transcriptomics reveals genes associated with dysregulated mitochondrial functions and stress signaling in Alzheimer's disease
Description
This is the public data repository for the the work presented in Navarro and Croteau et al. iScience, 2020. https://doi.org/10.1016/j.isci.2020.101556
The repository contains 48 Spatial Tancriptomics (ST) sections (24 of the hippocampus and 24 of the olfactory bulb).
The sections were obtained from an Alzheimer´s disease mouse model:
3xAD, 3xPB, 3xPB and WT
For each section, we have deposited the following:
- H&E file
- Matrix of counts (spots inside tissue)
- Raw matrix of counts with coordinates file
We also included the merged matrices of counts and meta files.
The results of the analyses are also present (factor analysis clusters, DE analysis genes, pathways, etc...).
Steps to reproduce
See Methods sections in the paper. Some tools used are the following:
https://github.com/jfnavarro/st_pipeline
https://github.com/jfnavarro/st_analysis
https://github.com/jfnavarro/AD_POLB_ST
https://github.com/jfnavarro/spatial-transcriptome-deconvolution
Institutions
KTH Royal Institute of Technology Gene technology
Categories
Bioinformatics, Neurodegenerative Disorder, Machine Learning, Alzheimer's Disease, Transcriptomics, Spatial Analysis
Licence
Creative Commons Attribution 4.0 International