The effects of B cell lymphoma on young and aged T and NK cells (scRNA-Seq)
Single-cell RNA-seq · mouse · 12 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
- 12 samples: 3 × Aged,Ctrl,scRNA, vs 3 × Aged,Lymphoma,scRNA, vs 3 × Young,Ctrl,scRNA, vs 3 × Young,Lymphoma,scRNA,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
- Lymphoma accelerates T cell and tissue agingCancer cell · 2025
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 GSE256414_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 PRJNA1079372 and SRA study SRP491132. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8098198 Aged,Ctrl,scRNA,rep1 Aged,Ctrl,scRNA,
- GSM8098199 Aged,Ctrl,scRNA,rep2 Aged,Ctrl,scRNA,
- GSM8098200 Aged,Ctrl,scRNA,rep3 Aged,Ctrl,scRNA,
- GSM8098201 Aged,Lymphoma,scRNA,rep1 Aged,Lymphoma,scRNA,
- GSM8098202 Aged,Lymphoma,scRNA,rep2 Aged,Lymphoma,scRNA,
- GSM8098203 Aged,Lymphoma,scRNA,rep3 Aged,Lymphoma,scRNA,
- GSM8098204 Young,Ctrl,scRNA,rep1 Young,Ctrl,scRNA,
- GSM8098205 Young,Ctrl,scRNA,rep2 Young,Ctrl,scRNA,
- GSM8098206 Young,Ctrl,scRNA,rep3 Young,Ctrl,scRNA,
- GSM8098207 Young,Lymphoma,scRNA,rep1 Young,Lymphoma,scRNA,
- GSM8098208 Young,Lymphoma,scRNA,rep2 Young,Lymphoma,scRNA,
- GSM8098209 Young,Lymphoma,scRNA,rep3 Young,Lymphoma,scRNA,
- GSE264105 Plate-based scRNA-seq of plasma-positive microglia and plasma-negative microglia in young mice 1111 samples shares scrna-seq, young
- GSE306058 scCRISPR screens of CD8⁺ T cells in young vs. aged tumors and tdLNs 11 samples shares young, aged
- GSE282210 Transcriptome analysis of quiescent livers and regenerating livers after partial hepatectomy (PH) in young and aged mice 133 samples shares young, aged
- GSE270016 Rejuvenation of aged oocyte through exposure to young follicular microenvironment 45 samples shares young, aged
- GSE283201 Comparative gene expression profiling analysis of hippocampus and liver RNA-seq data for young (3-month-old) and aged (22-month-old) WT mice in both control and ethanol feeding conditions. 32 samples shares young, aged
- GSE303183 The skeletal muscle of aged male mice exhibits a sustained growth regulatory transcriptional profile following prolonged glucocorticoid exposure compared to young males 24 samples shares young, aged
- GSE271100 Stem cells tightly regulate dead cell clearance to maintain tissue fitness [scRNA-seq] 1037 samples shares scrna-seq
- GSE326100 scRNA-seq of mouse cochlea organoid cells 768 samples shares scrna-seq
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.