{"database":"biostudies-arrayexpress","file_versions":[],"scores":null,"additional":{"submitter":["Single Cell Omics Platform CBMR"],"organism":["Mus musculus"],"software":["nf-core/rnaseq: 3.17.0"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/E-MTAB-17320"],"description":["This project investigates how aging impacts mitochondrial health and function in skeletal muscle. We will compare young and old muscle samples to identify age-related changes in mitochondrial pathways, focusing on differences between oxidative and glycolytic muscle. By profiling mRNA expression, we aim to uncover molecular mechanisms underlying mitochondrial decline with age and muscle-type–specific vulnerabilities, providing insight into skeletal muscle aging and its contribution to functional decline."],"repository":["biostudies-arrayexpress"],"sample_protocol":["Sequencing - 52-bp paired-end sequencing on a NovaSeqX Plus sequencer","Nucleic Acid Extraction - Total RNA was extracted from snap-frozen tissues using TRI Reagent (Sigma-Aldrich) and purified by isopropanol precipitation according to the manufacturer's instructions.","Library Construction - Libraries were prepared using the Universal Plus mRNA-seq with NuQuant protocol (Tecan) as recommended by the manufacturer. Libraries were quantified with NuQuant using the CLARIOstar Plate Reader (BMG Labtech) and quality checked using a TapeStation instrument (Agilent Technologies)","Sample Collection - The termination was performed by decapitation for tissue collection. Dissections of EDL and Soleus muscles was performed for RNA isolation and subsequent sequencing."],"figure_sub":["Organization","MINSEQE Score","Assays and Data","Processed Data","MAGE-TAB Files"],"data_protocol":["Sequence Alignment - FASTQ files were analyzed using nf-core/rnaseq v3.17.0 with the parameters --with_umi, --skip_umi_extract, and --umitools_umi_separator \\\"\":\\\"\", using the Mus musculus GRCm38 reference genome and Ensembl release 102 gene model.","Data Transformation - Uploaded data is raw reads, each row is a gene and each column is a sample. No normalization has been performed."],"omics_type":["Metabolomics","Unknown","Transcriptomics","Genomics","Proteomics"],"instrument_platform":["Illumina NovaSeq X"],"study_type":["RNA-seq of coding RNA"],"species":["Mus musculus"],"pubmed_authors":["Zach Gerhart-Hines","Single Cell Omics Platform CBMR","Fabian Finger"],"additional_accession":[]},"is_claimable":false,"name":"Mitochondrial membrane lipid cardiolipin controls fiber-type adaptations in ageing muscle via ERRγ","description":"This project investigates how aging impacts mitochondrial health and function in skeletal muscle. We will compare young and old muscle samples to identify age-related changes in mitochondrial pathways, focusing on differences between oxidative and glycolytic muscle. By profiling mRNA expression, we aim to uncover molecular mechanisms underlying mitochondrial decline with age and muscle-type–specific vulnerabilities, providing insight into skeletal muscle aging and its contribution to functional decline.","dates":{"release":"2026-08-14T00:00:00Z","modification":"2026-08-14T11:50:52.538Z","creation":"2026-07-15T21:27:49.536Z"},"accession":"E-MTAB-17320","cross_references":{"ENA":["ERP201289"],"EFO":["EFO_0002944","EFO_0004170","EFO_0004917","EFO_0005518","EFO_0003816","EFO_0003738","EFO_0004184"]}}