Age-related epithelial defects limit thymic function and regeneration [single cell; Foxn1Lin]
Single-cell RNA-seq · mouse · 3 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 3 samples: 3 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-related epithelial defects limit thymic function and regenerationNature immunology · 2024
Read the full summary ↓
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 GSE249753_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1050287 and SRA study SRP510626. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 3 sample titles: 3 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.
- GSM7963646 20-mo CD45- thymic stoma cells - Foxn1Lin - female [singe cell]
- GSM7963647 20-mo CD45- thymic stoma cells - Foxn1Lin - male [singe cell]
- GSM7963648 20-mo CD45- thymic stoma cells - wild type - male [singe cell]
- GSE240020 Age-related epithelial defects limit thymic function and regeneration 51 samples shares regeneration, age-related, epithelial, defects, thymic, limit
- GSE205410 Multiple subpopulations in medullary thymic epithelial cells are regulated by Aire with distinctive modes of gene regulations [bulkRNA-seq] 47 samples shares epithelial, thymic
- GSE220665 The Transcriptional Cofactor SKI Regulates Medullary Thymic Epithelial Cell Differentiation and Peripheral T Cell Responses 42 samples shares epithelial, thymic
- GSE240698 Thymic epithelial organoids mediate T cell development 11 samples shares epithelial, thymic
- GSE326641 Ubiquitin-like proteins NEDD8 and SUMO2 control epithelial homeostasis, regeneration, and inflammation [scRNA-seq] 8 samples shares regeneration, epithelial
- GSE267938 Functional optic tract rewiring via subtype- and target-specific axonal regeneration and presynaptic activity enhancement 256 samples shares regeneration
- GSE267936 Functional Optic Tract Rewiring via Subtype- and Target-specific Axonal Regeneration and Presynaptic Activity Enhancement (bulk RNA-Seq) 40 samples shares regeneration
- GSE283495 Intestinal epithelial cell diversity and function in respect to age, anatomical localization, and microbial exposure - the global transcriptome 29 samples shares epithelial
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.