Project description:This project aims to assess the transcriptomic signature in the dorsal hippocampus associated with physiological ageing. For this we extracted total RNA from dorsal hippocampal tissues from 3- and 18-month-old mice (n=4) and analzed the differential expressed genes.
Project description:Ovarian ageing shortens the laying cycle in hens, consequently reducing egg production. To enhance our understanding of the mechanisms of ovarian ageing in laying hens, we employed an integrated approach encompassing RNA-seq, Ribo-seq and data-independent acquisition (DIA) proteomics, and validated key targets by qRT-PCR and Western blotting, to identify age-associated changes in genes, ribosome footprints (RFs) and proteins in ovarian tissues of 30-week-old (W30) and 90-week-old (W90) hens. T
Project description:To understand the effects of learning on expression in mouse striatum, we combined an automated operant conditioning chamber (OCC) setup with an efficient RNA-sequencing protocol. We compared 450 striatal expression profiles from 75 mice, e.g., the data contains 6 samples per mouse. Biopsies were taken from both hemispheres, three striatal regions (dorsoventral, dorsomedial, ventromedial striatum) at three learning stages (Early, Intermediate, Late). For each learning stage, there is the same number of samples from paired yoked control mice. There are also samples from control mice that were not kept in OCCs (Naive). The processed data can also be assessed and downloaded from here https://shiny.bio.lmu.de/Dopaloops/
Project description:To investigate ageing-related changes in cardiac transcriptome of FVB mice we performed differential gene expression profiling analysis using data obtained from RNA-seq of five life time points (4-, 8-, 10-, 12-, 14 months) by comparing older FVB mice (8-, 10-, 12-, 14 months) to young 4-month-old FVB mice (FVB vs. FVB analysis). Genes that were differentially expressed in FVB vs. FVB analysis were also annotated to the respective biological processes based on Gene Ontology database, assessed for their overrepresentation to indicate processes involved in cardic ageing process in FVB mice. To investigate heart failure-related as well as ageing-related changes in cardiac transcriptome of Tgαq*44 mice we performed differential gene expression profiling analysis using data obtained from RNA-seq of five life time points (4-, 8-, 10-, 12-, 14 months) by comparing Tgαq*44 to age-matched FVB mice (Tgαq*44 vs. FVB analysis). Genes that were differentially expressed in Tgαq*44 vs. FVB analysis were also annotated to the respective biological processes based on Gene Ontology database, assessed for their overrepresentation to indicate processes iniciated along heart failure development as well as cardiac ageing process in Tgαq*44 mice. To investigate early activated ageing-related changes in cardiac transcriptome of Tgαq*44 mice during entire heart failure development we searched for the presence of ageing-related genes (those identified in cardiac transcriptome of older FVB mice) among genes which were differentially expressed commonly at each measured time points in Tgαq*44 vs. FVB analysis. To investigate early activated aging-related biological processes in cardiac transcriptome of Tgαq*44 mice during entire heart failure development, we searched for the presence of ageing-related processes (those identified in cardiac transcriptome of older FVB mice) among processes which were overrepresented commonly at each measured time points in Tgαq*44 vs. FVB analysis.
Project description:Equine cartilage from young and old donors was used for RNA-Seq analysis. The aim of the study was to identify differentially expressed cartilage transcripts in ageing in order to to characterize molecular mechanisms associated with age-related changes in