Age-dependent accumulation of mitochondrial tRNA mutations in mouse kidneys linked to mitochondrial kidney diseases
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 13 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Mus musculus (mouse)
- Samples
- 13 samples: 13 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- Age-dependent accumulation of mitochondrial tRNA mutations in mouse kidneys linked to mitochondrial kidney diseasesNature aging · 2025
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE282116_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1187218 and SRA study SRP518892. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 5 samples read as cases, 5 as controls.
How we read this: Read from 13 sample titles: 13 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8387295 trnE-mutant-1, scRNA-seq
- GSM8387296 trnE-mutant-2, scRNA-seq
- GSM8636212 WT-1, scRNA-seq
- GSM8636213 WT-2, scRNA-seq
- GSM8636214 Control, low mutation load kidney, replicate 1, RNA-seq
- GSM8636215 Control, low mutation load kidney, replicate 2, RNA-seq
- GSM8636216 Control, low mutation load kidney, replicate 3, RNA-seq
- GSM8636217 Treatment, high mutation load kidney, replicate 1, RNA-seq
- GSM8636218 Treatment, high mutation load kidney, replicate 2, RNA-seq
- GSM8636219 Treatment, high mutation load kidney, replicate 3, RNA-seq
- GSM8636220 trnE-mutant, 75-week-old, replicate 1, 75% mutation load, mtscATAC-seq
- GSM8636221 trnE-mutant, 75-week-old, replicate 2, 80% mutation load, mtscATAC-seq
- GSM8636222 trnE-mutant, 3-week-old, 80% mutation load, mtscATAC-seq
- GSE310057 A RiboCancer cell line panel reveals that CLL-associated Rps15 mutations translationally rewire transcription through codon-specific tRNA accommodation defects 48 samples shares mutations, trna
- GSE317471 Single-cell analysis of the progeric vascular wall reveals progressive cell-type specific dysfunction and accumulation of somatic mutations 30 samples shares accumulation, mutations
- GSE285574 Foxa1 mutations co-opt nascent transcription factor networks in partnership with androgen receptor to enhance prostate tumorigenicity 38 samples shares mutations
- GSE213756 Serine enrichment in tumors promotes regulatory T cell accumulation through sphinganine mediated regulation of c-Fos 32 samples shares accumulation
- GSE306026 Dosage-dependent role of Gata3 in primitive endoderm and trophectoderm specification in embryonic stem cells 22 samples shares age-dependent
- GSE263892 Single-cell analysis reveals Mycobacterium tuberculosis ESX-1-mediated accumulation of permissive macrophages in infected mouse lungs 6078 samples shares accumulation
- GSE215963 Subclonal evolution revealed by single-cell profiles of expressed mutations identifies adaptation mechanisms to immunotherapy in melanoma. 1497 samples shares mutations
- GSE239814 Mitochondrial signals mediate paternal effects on offspring metabolism (Smart-Seq) 221 samples shares mitochondrial
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.