Project description:We investigate if the differences in phenotype and transcriptome over age might be explained by an underlying change on the epigenetic level. We performed single-cell ATAC sequencing using the 10x Chromium platform. We profiled 4838 nuclei prepared from 3 young liver tissues and 3361 nuclei from 3 old liver tissues.
Project description:We investigate if the differences in phenotype and transcriptome over age might be explained by an underlying change on the epigenetic level. We performed single-cell ATAC sequencing using the 10x Chromium platform. We profiled 2259 nuclei prepared from 3 young liver tissues and 2490 nuclei from 3 old liver tissues.
Project description:We want to investigate how cells in the specific zones in murine liver are affected by age-related changes of the microenvironment. To this end, we generated high-quality scRNA-seq dataset of hepatocytes using Smart-seq3express from 2 young (3-5 months) and 2 old (18-20 months) male mice. Livers were perfused and viable hepatocytes were FACS-sorted based on size. In addition, we recorded ploidy levels of hepatocytes. We retained 545 hepatocytes in total after initial filtering.
Project description:Comparison of gene expression level by Illumina sequencing of rat liver from young and old animals. We identified differentially expressed genes and provide functional profiles, which give insights into the aging process of short-lived rodents.
Project description:Comparison of gene expression level by Illumina sequencing of naked mole-rat liver from young and old animals. We identified differentially expressed genes and provide functional profiles, which give insights into the aging process of long-lived rodents.
Project description:Purpose: We used RNA-seq to compare daily rhythms of gene expression in livers of young and old mice. Methods: Livers of young and old mice were processed for RNA-seq at 4-h interval across 2 days. Gene expression level was analyzed by hisat2 and StringTie. Results: We obtained ~10 million high quality sequencing reads per time point per sample after quality control and alignment. Gene expression levels of ~19,000 transcripts were obtained for both age groups. We found genome-wide differenes in gene expression level as well as rhythms in gene expression. Conclusions: Our study revealed genomwide differences in the level and rhythm of liver gene expression between young and old mice.