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Epitope-specific T cell responses after SARS-CoV-2 vaccination [scRNA_dextramer_mixed_time]

GSE261967 Homo sapiens (human) Single-cell RNA-seq 12 samples Submitted 2024/10/31 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 12 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
12 samples: 2 × pooledCells_scGEX_S vs 2 × pooledCells_scVDJ_S vs 2 × pooledCells_scADT_SGroups 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.
Summary (written by the submitters)
Clonal expansion is a hallmark of adaptive immunity, and appears to be driven by high antigen-specific receptor avidity as shown by research using murine in vivo models. In humans, however, the functionality of antigen-specific T cell clonotypes that are recruited into primary and recall immune responses remains surprisingly elusive. In this regard, the vaccination program during the SARS-CoV-2 pandemic represented a unique research opportunity by provision of highly standardized cohorts of healthy human individuals receiving immunizations against a previously unseen antigen.
Read the full summary ↓
Here, we analyzed 30 HLA-typed individuals before, short-term and long-term after three mRNA vaccinations against SARS-CoV-2. We performed an in-depth characterization of the magnitude, phenotype, clonal composition and functionality of antigen-specific CD8 T cell responses by ELISPOT, flow cytometry and single-cell RNA sequencing, including CITE seq of 130 surface antigens and 16 T cell epitope specificities. 89 T cell receptors (TCRs) covering three complete epitope-specific repertoires were re-expressed by CRISPR/Cas9-mediated orthotopic TCR replacement and tested for their avidity. TCR repertoires underwent continuous tailoring, with high TCR avidity being linked to both clonal persistence and expansion. However, epitope-specific repertoires also maintained diversity by concomitant contraction and new emergence of functional T cell clones over time. These data on the phenotype and clonal selection within human antigen-specific T cell responses instruct our understanding of human T cell biology and may guide the development of enhanced or novel vaccines.
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE261967_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA1089645 and SRA study SRP496525. Searching any of these in the dataset finder brings you back here.

Study design
2 × pooledCells_scGEX_S vs 2 × pooledCells_scVDJ_S vs 2 × pooledCells_scADT_S

Supports a between-group comparison across 6 samples.

How we read this: 3 replicated groups read from 12 sample titles; they account for 6 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.

Samples in this study
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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.