PLX070621

GSE47817: Epigenetic and genetic changes during mouse hematopoietic stem cell aging [RNA-Seq]

  • Organsim mouse
  • Type RNASEQ
  • Target gene
  • Project ARCHS4

To investigate the global transcriptome changes in mouse hematopoietic stem cell aging, we performed high-throughput sequencing of Poly A+ RNA (RNA-Seq) from purified 4 month, and 24 month-old HSCs (SP-KSL-CD150+). With biological duplicates, more than 200 million reads in total for each age of HSC were obtained. Comparison of the young and old HSC transcriptomes revealed that 1,337 genes that were up-regulated, and 1,297 genes were down-regulated with HSC aging. The most highly represented upstream regulator was growth factor TGFB1, accounting for ~ 19% of differential gene expression in young versus old HSC (p-value = 1.96E-33). Gene ontology (GO) analyses indicated that up-regulated genes in 24mo HSCs are highly enriched in Regulation of Cell Adhesion, Regulation of Cell Proliferation and Ribosome, while down-regulated genes are enriched in DNA Base Excision Repair, DNA replication and Cell Cycle. RNA-seq also allowed us to examine alternative isoforms with aging including alternative splicing, promoter usage and pre-mRNA abundance. SOURCE: deqiang sun (deqiangs@bcm.edu) - Baylor College of Medicine

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team