HTGTS-TCR-seq for profiling of mouse and human T-cell receptor α and β gene rearrangements and diversity
RNA-seq (gene expression) · mouse · 109 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
- 109 samples: 33 conditions, mostly in triplicateGroups 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
- HTGTS-TCR-Seq for Profiling of Mouse and Human T-Cell Receptor α and β Gene Rearrangements and DiversityAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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 GSE308002_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 PRJNA1328493 and SRA study SRP586586. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 109 samples.
How we read this: 33 replicated groups read from 109 sample titles; they account for 109 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.
- GSM8996395 DN3_HTGTS_TCR_seq_Trbj_mix1_rep1 DN3_HTGTS_TCR_seq_Trbj_…
- GSM8996396 DN3_HTGTS_TCR_seq_Trbj_mix1_rep2 DN3_HTGTS_TCR_seq_Trbj_…
- GSM8996397 DN3_HTGTS_TCR_seq_Trbj_mix1_rep3 DN3_HTGTS_TCR_seq_Trbj_…
- GSM8996398 DN3_HTGTS_TCR_seq_Trbj_mix2_rep1 DN3_HTGTS_TCR_seq_Trbj_…
- GSM8996399 DN3_HTGTS_TCR_seq_Trbj_mix2_rep2 DN3_HTGTS_TCR_seq_Trbj_…
- GSM8996400 DN3_HTGTS_TCR_seq_Trbj_mix2_rep3 DN3_HTGTS_TCR_seq_Trbj_…
- GSM8996401 PreselectionDP_HTGTS_TCR_seq_Traj_mix_rep1 PreselectionDP_HTGTS_TC…
- GSM8996402 PreselectionDP_HTGTS_TCR_seq_Traj_mix_rep2 PreselectionDP_HTGTS_TC…
- GSM8996403 PreselectionDP_HTGTS_TCR_seq_Traj_mix_rep3 PreselectionDP_HTGTS_TC…
- GSM8996404 PreselectionDP_HTGTS_TCR_seq_Traj_mix_rep4 PreselectionDP_HTGTS_TC…
- GSM8996405 PreselectionDP_HTGTS_TCR_seq_Trav_mix_rep1 PreselectionDP_HTGTS_TC…
- GSM8996406 PreselectionDP_HTGTS_TCR_seq_Trav_mix_rep2 PreselectionDP_HTGTS_TC…
- GSM8996407 PreselectionDP_HTGTS_TCR_seq_Trav_mix_rep3 PreselectionDP_HTGTS_TC…
- GSM8996408 PreselectionDP_HTGTS_TCR_seq_Trav_mix_rep4 PreselectionDP_HTGTS_TC…
- GSM8996409 Young_HTGTS_TCR_seq_Trbj_mix1_rep1 Young_HTGTS_TCR_seq_Trb…
- GSM8996410 Young_HTGTS_TCR_seq_Trbj_mix1_rep2 Young_HTGTS_TCR_seq_Trb…
- GSM8996411 Young_HTGTS_TCR_seq_Trbj_mix1_rep3 Young_HTGTS_TCR_seq_Trb…
- GSM8996412 Aged_HTGTS_TCR_seq_Trbj_mix1_rep1 Aged_HTGTS_TCR_seq_Trbj…
- GSM8996413 Aged_HTGTS_TCR_seq_Trbj_mix1_rep2 Aged_HTGTS_TCR_seq_Trbj…
- GSM8996414 Aged_HTGTS_TCR_seq_Trbj_mix1_rep3 Aged_HTGTS_TCR_seq_Trbj…
- GSM8996415 Young_HTGTS_TCR_seq_Trbv_mix_rep1 Young_HTGTS_TCR_seq_Trb…
- GSM8996416 Young_HTGTS_TCR_seq_Trbv_mix_rep2 Young_HTGTS_TCR_seq_Trb…
- GSM8996417 Young_HTGTS_TCR_seq_Trbv_mix_rep3 Young_HTGTS_TCR_seq_Trb…
- GSM8996418 Aged_HTGTS_TCR_seq_Trbv_mix_rep1 Aged_HTGTS_TCR_seq_Trbv…
- GSM8996419 Aged_HTGTS_TCR_seq_Trbv_mix_rep2 Aged_HTGTS_TCR_seq_Trbv…
- GSM8996420 Aged_HTGTS_TCR_seq_Trbv_mix_rep3 Aged_HTGTS_TCR_seq_Trbv…
- GSM8996421 Aged_HTGTS_TCR_seq_Trbv_mix_rep4 Aged_HTGTS_TCR_seq_Trbv…
- GSM8996422 Young_HTGTS_TCR_seq_Trav_mix_rep1 Young_HTGTS_TCR_seq_Tra…
- GSM8996423 Young_HTGTS_TCR_seq_Trav_mix_rep2 Young_HTGTS_TCR_seq_Tra…
- GSM8996424 Young_HTGTS_TCR_seq_Trav_mix_rep3 Young_HTGTS_TCR_seq_Tra…
- GSM8996425 Young_HTGTS_TCR_seq_Trav_mix_rep4 Young_HTGTS_TCR_seq_Tra…
- GSM8996426 Aged_HTGTS_TCR_seq_Trav_mix_rep1 Aged_HTGTS_TCR_seq_Trav…
- GSM8996427 Aged_HTGTS_TCR_seq_Trav_mix_rep2 Aged_HTGTS_TCR_seq_Trav…
- GSM8996428 Aged_HTGTS_TCR_seq_Trav_mix_rep3 Aged_HTGTS_TCR_seq_Trav…
- GSM8996429 Aged_HTGTS_TCR_seq_Trav_mix_rep4 Aged_HTGTS_TCR_seq_Trav…
- GSM8996430 Young_HTGTS_TCR_seq_Traj_mix_rep1 Young_HTGTS_TCR_seq_Tra…
- GSM8996431 Young_HTGTS_TCR_seq_Traj_mix_rep2 Young_HTGTS_TCR_seq_Tra…
- GSM8996432 Young_HTGTS_TCR_seq_Traj_mix_rep3 Young_HTGTS_TCR_seq_Tra…
- GSM8996433 Young_HTGTS_TCR_seq_Traj_mix_rep4 Young_HTGTS_TCR_seq_Tra…
- GSM8996434 Aged_HTGTS_TCR_seq_Traj_mix_rep1 Aged_HTGTS_TCR_seq_Traj…
+ 69 more — browse all 109 samples with per-sample file links →
- GSE296402 Interleukin-23 promotes a pro-inflammatory Th17 cell state by stabilizing RORγt and suppressing glucocorticoid receptor activity 66 samples shares receptor
- GSE241209 Tissue factor binds to and inhibits interferon-α receptor-1 signaling 21 samples shares receptor
- GSE341319 Vitamin B2 Sensing by the Nuclear Receptor AhR Reprograms Hepatic Metabolism [ATAC-Seq] 20 samples shares receptor
- GSE43770 Vitamin d receptor-mediated stromal reprogramming suppresses pancreatitis and enhances pancreatic cancer therapy 17 samples shares receptor
- GSE241980 IFN -induced Immunosuppression in Lung Carcinoma is Mediated by an Environmental Chemical Receptor (AhR) through PD-L1 and IDO Control 17 samples shares receptor
- GSE309679 Addressing the multiple facets of ligand-receptor network inference 13 samples shares receptor
- GSE306326 Chimeric Antigen Receptor-Macrophage Extracellular Vesicles Reprogram Immune Microenvironment for Cancer Therapy. 12 samples shares receptor
- GSE261622 Competition shapes the landscape of X-linked genetic diversity 4 samples shares diversity
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.