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Multi-omics data access for studies investigating the effects of aging

Bioconductor version: Release (3.19)

The MouseAgingData package provides analysis-ready data resources from different studies focused on aging and rejuvenation in mice. The package currently provides two 10x Genomics single-cell RNA-seq datasets. The first study profiled the aging mouse brain measured across 37,089 cells (Ximerakis et al., 2019). The second study investigated parabiosis by profiling a total of 105,329 cells (Ximerakis & Holton et al., 2023). The datasets are provided as SingleCellExperiment objects and provide raw UMI counts and cell metadata.

Author: Tram Nguyen [aut, cre] , Kris Holton [aut], Tyrone Lee [aut], Nitesh Turaga [ctb], Ludwig Geistlinger [aut], Robert Gentleman [aut]

Maintainer: Tram Nguyen <Tram_Nguyen at>

Citation (from within R, enter citation("MouseAgingData")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Accessing and Visualizing Parabiosis Droplet Data HTML R Script
Reference Manual PDF


biocViews ExperimentData, ExperimentHub, ExpressionData, Mus_musculus_Data, PackageTypeData, RNASeqData, SequencingData, SingleCellData
Version 1.0.0
License Artistic-2.0
Depends R (>= 4.4.0), SingleCellExperiment
Imports AnnotationHub, ExperimentHub
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Follow Installation instructions to use this package in your R session.

Source Package MouseAgingData_1.0.0.tar.gz
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