Signs of premature kidney aging in Rps9 knockin mice - raw data

Groups in the datasets: 18 months old male Rps9D95N heterozygous mice and their wildtype littermatesRNAseq Raw Dataset for Kidney Homogenates: This dataset consists of raw RNA sequencing data derived from kidney homogenates. RNA was isolated using the RNeasy Mini Kit, and the quality of the RNA was assessed using a Qubit® Fluorometer and the Agilent 4200 TapeStation system. Only high-quality samples with appropriate 260 nm/280 nm and 28S/18S ratios were processed further. The TruSeq Stranded mRNA library preparation kit (Illumina, Inc) was used for library construction. Libraries were polyA enriched, reverse-transcribed into cDNA, fragmented, and prepared for sequencing with unique dual indices for multiplexing. Sequencing was performed on a NovaSeq6000 System using a single-end 100bp configuration. The data were generated at the Functional Genomic Center in Zurich (FGCZ, University of Zurich).Metabolomics Raw Dataset for Kidney Samples: This dataset contains raw metabolomics data from kidney samples extracted using isopropanol. The metabolite analysis was performed on a targeted metabolomics platform (MxP® Quant 500 assay, Biocrates Life Sciences) at University College Dublin by Prof. Lorraine Brennan. After sample preparation, metabolites were identified and quantified using a Sciex ExionLC UHPLC system coupled to a Sciex QTRAP 6500+ mass spectrometer. A variety of metabolites, including amino acids, bile acids, fatty acids, biogenic amines, and lipid classes such as phosphatidylcholines, sphingomyelins, and triglycerides, were quantified or semi-quantified. Data processing and metabolite quantification were carried out using MetIDQ software, and metabolite concentrations were exported in micromoles for subsequent statistical analysis.