Tabula Muris Senis

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/tabula-muris-senis-dataset")

fs.listdir("s3://czb-tabula-muris-senis")

Description:

Tabula Muris Senis is a comprehensive compendium of single cell transcriptomic data from the model organism Mus musculus comprising more than 500,000 cells from 18 organs and tissues across the mouse lifespan. We discovered cell-specific changes occurring across multiple cell types and organs, as well as age related changes in the cellular composition of different organs. Using single-cell transcriptomic data we were able to assess cell type specific manifestations of different hallmarks of aging, such as senescence, changes in the activity of metabolic pathways, depletion of stem-cell populations, genomic instability and the role of inflammation as well as other changes in the organism’s immune system. Tabula Muris Senis provides a wealth of new molecular information about how the most significant hallmarks of aging are reflected in a broad range of tissues and cell types.See: https://www.biorxiv.org/content/10.1101/661728v1

Contact:

Tabula Muris Senis is a comprehensive compendium of single cell transcriptomic data from the model organism Mus musculus comprising more than 500,000 cells from 18 organs and tissues across the mouse lifespan. We discovered cell-specific changes occurring across multiple cell types and organs, as well as age related changes in the cellular composition of different organs. Using single-cell transcriptomic data we were able to assess cell type specific manifestations of different hallmarks of aging, such as senescence, changes in the activity of metabolic pathways, depletion of stem-cell populations, genomic instability and the role of inflammation as well as other changes in the organism’s immune system. Tabula Muris Senis provides a wealth of new molecular information about how the most significant hallmarks of aging are reflected in a broad range of tissues and cell types.See: https://www.biorxiv.org/content/10.1101/661728v1

Update Frequency:

This is the first version of the dataset and it will be updated after the manuscript has been peer reviewed.

Managed By:

https://www.czbiohub.org/

Resources:

1. resource:
   • Description: https://github.com/czbiohub/tabula-muris-senis
   • ARN: arn:aws:s3:::czb-tabula-muris-senis
   • Region: us-west-2
   • Type: S3 Bucket

Tags:

aws-pds, biology, encyclopedic, genomic, health, life sciences, medicine, single-cell transcriptomics

Tutorials:

1. tutorial:
   • Title: Fast queries of scRNAseq datasets with Amazon Athena
   • URL: https://aws.amazon.com/blogs/industries/fast-queries-of-scrnaseq-datasets-with-amazon-athena/
   • AuthorName: Andrew Ang, James Golden, Lisa McFerrin, and Lee Pang
   • Services: Athena, Glue