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Robust effector memory features of human T-bet-hi B cells induced by repeated mRNA vaccination

GSE315668 Homo sapiens (human) RNA-seq (gene expression) 42 samples Submitted 2026/01/13 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 42 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
Homo sapiens (human)
Samples
42 samples: 21 conditions, mostly in duplicateGroups 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
Robust effector memory features of human T-bet(hi) B cells induced by repeated mRNA vaccinationiScience · 2026
Summary (written by the submitters)
The heterogeneity of memory B cells in response to repetitive cognate antigen challenges remains to be fully elucidated. Here we identified a transcriptionally distinct cluster of T-bethi B cells, among SARS-CoV-2 RBD-specific B cells in PBMCs from healthy individuals vaccinated with the BNT162b2 SARS-CoV-2 mRNA vaccine. Our findings indicate that T-bethi B cells can be defined by a combination of CD11c and FcRL5 receptors, and are distinguished by distinct gene regulatory networks associated with effector functions.
Read the full summary ↓
Notably, these T-bethi B cells were affinity-matured and exhibited rapid differentiation into antibody-secreting cells (ASCs) producing neutralizing antibodies comparable to classical memory B cells, underscoring their role in early recall responses. Taken together, these findings illuminate the potent effector memory roles of T-bethi B cells in adaptive immunity following vaccinations.
Published in
Robust effector memory features of human T-bet(hi) B cells induced by repeated mRNA vaccination
Lee J, Son S, Chung Y et al. · iScience 2026 · PMID 41716987 · doi:10.1016/j.isci.2026.114804
This dataset
Open GSE315668 in finder → Find more human datasets →
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.

Series matrix ↓
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 GSE315668_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1398655 and SRA study SRP659955. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41716987) ↗
Study design
21 conditions, mostly in duplicate
GEX,Bcells,timepoint1,tube ×2 GEX,Bcells,timepoint2,tube ×2 GEX,Bcells,timepoint3,tube ×2 GEX,Bcells,timepoint4,tube ×2 GEX,Bcells,timepoint5,tube ×2 GEX,Bcells,timepoint6,tube ×2 GEX,Bcells,timepoint7,tube ×2 FB,Bcells,timepoint1,tube ×2 +13 more

Supports a between-group comparison across 42 samples.

How we read this: 21 replicated groups read from 42 sample titles; they account for 42 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

+ 2 more — browse all 42 samples with per-sample file links →

Datasets on a similar topic

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