Unraveling age-related cellular and molecular changes associated with vestibular hair cells
RNA-seq (gene expression) · mouse · 10 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 10 samples: 5 × Cochlea, 22 Months, vs 5 × Vestibule, 22 Months,Groups 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
- Hair Bundle Degeneration is a Key Contributor to Age-Related Vestibular DysfunctionbioRxiv : the preprint server for biology · 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 GSE283708_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1195074 and SRA study SRP549812. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 2 replicated groups read from 10 sample titles; they account for 10 of them. 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.
- GSM8670099 Cochlea, 22 Months, Bio rep 1 Cochlea, 22 Months,
- GSM8670100 Cochlea, 22 Months, Bio rep 2 Cochlea, 22 Months,
- GSM8670101 Cochlea, 22 Months, Bio rep 3 Cochlea, 22 Months,
- GSM8670102 Cochlea, 22 Months, Bio rep 4 Cochlea, 22 Months,
- GSM8670103 Cochlea, 22 Months, Bio rep 5 Cochlea, 22 Months,
- GSM8670104 Vestibule, 22 Months, Bio rep 1 Vestibule, 22 Months,
- GSM8670105 Vestibule, 22 Months, Bio rep 2 Vestibule, 22 Months,
- GSM8670106 Vestibule, 22 Months, Bio rep 3 Vestibule, 22 Months,
- GSM8670107 Vestibule, 22 Months, Bio rep 4 Vestibule, 22 Months,
- GSM8670108 Vestibule, 22 Months, Bio rep 5 Vestibule, 22 Months,
- GSE302153 Study of Molecular and Transcriptomic Age-related Changes in the Dorsal and Ventral Areas of Hippocampus in the 5xFAD Mouse Model of Alzheimer’s Disease 32 samples shares age-related, changes
- GSE288444 Dynamic changes of molecular pattern and cellular subpopulation in puncture-induced tendon injury model 29 samples shares cellular, changes
- GSE294963 In Vitro Modeling of Age-Related Methylation Changes with Intestinal Organoids [RNA-Seq] 11 samples shares age-related, changes
- GSE334490 Mapping the unicellular transcriptome of the ascending thoracic aorta to changes in mechanosensing and mechanoadaptation during aging 16 samples shares cellular, changes
- GSE295428 Spaceflight induces systemic effects on extracellular matrix and immune system in different age-stages 229 samples shares cellular
- GSE225576 An atlas of the aging mouse transcriptome and proteome reveals the features of age-related post-transcriptional dysregulation 128 samples shares age-related
- GSE330865 Multiorgan transcriptomics and circulating extracellular vesicle profiling reveal age-dependent systemic vulnerability to isoflurane anesthesia and surgery 120 samples shares cellular
- GSE296698 Vascular Cell Senescence and Age-Related Endothelial Dysfunction: The Role of the Senescence-Associated Secretory Phenotype and CXCL12 15 samples shares age-related
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.