CD8+ T-cell memory induced by successive SARS-CoV-2 mRNA vaccinations is characterized by clonal replenishment [scTCR-seq, CITE-seq]]
Single-cell RNA-seq · human · 14 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Samples
- 14 samples: 14 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
- CD8(+) T cell memory induced by successive SARS-CoV-2 mRNA vaccinations is characterized by shifts in clonal dominanceCell reports · 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 GSE210229_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 PRJNA864804 and SRA study SRP389140. 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 14 sample titles: 14 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.
- GSM6424219 ID2_Abseq_P3
- GSM6424220 ID2_Target_P3
- GSM6424221 ID2_TCR_P3
- GSM6424222 ID27_Abseq_P3
- GSM6424223 ID27_Target_P3
- GSM6424224 ID27_TCR_P3
- GSM7329944 Batch2-1_Abseq
- GSM7329945 Batch2-1_Target
- GSM7329946 Batch2-1_TCR
- GSM7329947 Batch2-1_Tag
- GSM7329948 Batch2-2_Abseq
- GSM7329949 Batch2-2_Target
- GSM7329950 Batch2-2_TCR
- GSM7329951 Batch2-2_Tag
- GSE210231 CD8+ T cell memory induced by successive SARS-CoV-2 mRNA vaccinations is characterized by shifts in clonal dominance 931 samples shares sars-cov-2, cd8, characterized, vaccinations, successive
- GSE272993 Combination anti-PD-1 and anti-CTLA-4 therapy generates waves of clonal responses that include progenitor-exhausted CD8 T cells [dataset 1] 360 samples shares cd8
- GSE225063 Blockade of LAG-3 and PD-1 leads to co-expression of cytotoxic and exhaustion gene modules in CD8+ T cells to promote antitumor immunity 256 samples shares cd8
- GSE288199 Distinct CD8+ T cell dynamics associate with response to neoadjuvant cancer immunotherapies 180 samples shares cd8
- GSE288856 Clonal CD8+ T Cells Populate the Leptomeninges and Coordinate with Immune Cells in Human Degenerative Brain Diseases 113 samples shares cd8
- GSE308745 The Cd4+ T cell population Partners with Tpex CD8 T cells to mediate Antitumor Immunity in the Tumor Microenvironment.[PB cohort2] 87 samples shares cd8
- GSE260763 Expansion of memory Vδ2 T cells following SARS-CoV-2 vaccination revealed by temporal single-cell transcriptomics 60 samples shares sars-cov-2
- GSE298811 Immune dysregulation and stem-like CD8+ T cell enrichment in type 1 diabetes pancreatic lymph nodes 57 samples shares cd8
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.