Human B cells induced by primary SARS-CoV-2 infection
Single-cell RNA-seq · human · 27 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Samples
- 27 samples: 27 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
- Common cold embecovirus imprinting primes broadly neutralizing antibody responses to SARS-CoV-2 S2The Journal of experimental medicine · 2025
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 GSE304243_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 PRJNA1299470 and SRA study SRP605600. 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 27 sample titles: 27 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.
- GSM9145700 B cells, S68 ADT, Convalescent
- GSM9145701 B cells, S68 GEX, Convalescent
- GSM9145702 B cells, S68 VDJ, Convalescent
- GSM9145703 B cells, S80 ADT, Convalescent
- GSM9145704 B cells, S80 GEX, Convalescent
- GSM9145705 B cells, S80 VDJ, Convalescent
- GSM9145706 B cells, S136 ADT, Convalescent
- GSM9145707 B cells, S136 GEX, Convalescent
- GSM9145708 B cells, S136 VDJ, Convalescent
- GSM9145709 B cells, S195 ADT, Convalescent
- GSM9145710 B cells, S195 GEX, Convalescent
- GSM9145711 B cells, S195 VDJ, Convalescent
- GSM9145712 B cells, S270 ADT, Convalescent
- GSM9145713 B cells, S270 GEX, Convalescent
- GSM9145714 B cells, S270 VDJ, Convalescent
- GSM9145715 B cells, S380 ADT, Convalescent
- GSM9145716 B cells, S380 GEX, Convalescent
- GSM9145717 B cells, S380 VDJ, Convalescent
- GSM9145718 B cells, S451 ADT, Convalescent
- GSM9145719 B cells, S451 GEX, Convalescent
- GSM9145720 B cells, S451 VDJ, Convalescent
- GSM9145721 B cells, S626 ADT, Convalescent
- GSM9145722 B cells, S626 GEX, Convalescent
- GSM9145723 B cells, S626 VDJ, Convalescent
- GSM9145724 B cells, S728 ADT, Convalescent
- GSM9145725 B cells, S728 GEX, Convalescent
- GSM9145726 B cells, S728 VDJ, Convalescent
- 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, induced
- GSE281237 Widespread gene-environment interactions shape the immune response to SARS-CoV-2 infection in hospitalized COVID-19 patients 29 samples shares sars-cov-2
- GSE303324 SARS-CoV-2 Variant Boosters and Breakthrough Infections Drive Functional Differences in the Memory B Cell Repertoire 55 samples shares sars-cov-2
- GSE314342 Genome-scale perturb-seq in primary human CD4+ T cells reveals genes regulating T cell programs and human immune traits. 577 samples shares primary
- GSE306915 Integrated epigenetic and genetic programming of primary human T cells [RNA-seq] 77 samples shares primary
- GSE318176 Integrative Epigenomic and Transcriptomic Analysis of Peripheral Blood Across Different SARS-CoV-2 Vaccine Recipients Reveals TGF-β-Mediated Exhaustion Mechanisms 38 samples shares sars-cov-2
- GSE327133 Virus-like particles enable targeted gene engineering and pooled CRISPR screening in primary human myeloid cells [CRISPRoff] 28 samples shares primary
- GSE237429 Single-cell transcriptomics reveals distinct molecular alterations of human renal cell carcinoma-derived endothelial cells that are stable in ex vivo primary culture 19 samples shares primary
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.