Antigen-selected gut IgA is generated from IgG1 germinal center B cells
RNA-seq (gene expression) · mouse · 54 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
- 54 samples: 54 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
- Sequential class switching generates antigen-specific gut IgA from IgG1 B cellsImmunity · 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 GSE284622_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 PRJNA1199938. 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 54 sample titles: 54 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.
- GSM8689295 Subject_1_MLN (scRNA-seq)
- GSM8689296 Subject_2_MLN (scRNA-seq)
- GSM8689297 Subject_3_MLN (scRNA-seq)
- GSM8689298 Subject_1_PP (scRNA-seq)
- GSM8689299 Subject_2_PP (scRNA-seq)
- GSM8689300 Subject_3_PP (scRNA-seq)
- GSM8689301 Subject_1_LP (scRNA-seq)
- GSM8689302 Subject_2_LP (scRNA-seq)
- GSM8689303 Subject_3_LP (scRNA-seq)
- GSM8689304 Subject_4_MLN2nonGC (scRNA-seq)
- GSM8689305 Subject_4_MLN2GC (scRNA-seq)
- GSM8689306 Subject_5_MLN3nonGC (scRNA-seq)
- GSM8689307 Subject_5_MLN3GC (scRNA-seq)
- GSM8689308 Subject_6_MLN4nonGC (scRNA-seq)
- GSM8689309 Subject_6_MLN4GC (scRNA-seq)
- GSM8689310 Subject_4_PP2nonGC (scRNA-seq)
- GSM8689311 Subject_4_PP2GC (scRNA-seq)
- GSM8689312 Subject_5_PP3nonGC (scRNA-seq)
- GSM8689313 Subject_5_PP3GC (scRNA-seq)
- GSM8689314 Subject_6_PP4nonGC (scRNA-seq)
- GSM8689315 Subject_6_PP4GC (scRNA-seq)
- GSM8689316 Subject_4_LP2nonGC (scRNA-seq)
- GSM8689317 Subject_4_LP2GC (scRNA-seq)
- GSM8689318 Subject_5_LP3nonGC (scRNA-seq)
- GSM8689319 Subject_5_LP3GC (scRNA-seq)
- GSM8689320 Subject_6_LP4nonGC (scRNA-seq)
- GSM8689321 Subject_6_LP4GC (scRNA-seq)
- GSM8689322 Subject_1_MLN (BCR-Seq)
- GSM8689323 Subject_2_MLN (BCR-Seq)
- GSM8689324 Subject_3_MLN (BCR-Seq)
- GSM8689325 Subject_1_PP (BCR-Seq)
- GSM8689326 Subject_2_PP (BCR-Seq)
- GSM8689327 Subject_3_PP (BCR-Seq)
- GSM8689328 Subject_1_LP (BCR-Seq)
- GSM8689329 Subject_2_LP (BCR-Seq)
- GSM8689330 Subject_3_LP (BCR-Seq)
- GSM8689331 Subject_4_MLN2nonGC (BCR-Seq)
- GSM8689332 Subject_4_MLN2GC (BCR-Seq)
- GSM8689333 Subject_5_MLN3nonGC (BCR-Seq)
- GSM8689334 Subject_5_MLN3GC (BCR-Seq)
+ 14 more — browse all 54 samples with per-sample file links →
- GSE284620 Antigen-selected gut IgA is generated from IgG1 germinal center B cells (GEX) 27 samples shares igg1, antigen-selected, generated, germinal, center
- GSE312596 RNA-seq analysis of germinal center-derived splenic IgG1 or IgM plasma cells 10 samples shares igg1, germinal, center
- GSE280001 RNA-binding proteins control the G2-M checkpoint of the germinal center B cell 16 samples shares germinal, center
- GSE261015 B cell differentiation into germinal center and antibody-secreting cells depends on SMARCA5-mediated chromatin remodeling 31 samples shares germinal, center
- GSE282304 REL deregulation stands as a primary hit for AID-imprinted B-cells along the germinal center competition 30 samples shares germinal, center
- GSE264164 RNA-seq and ATAC-seq of follicular B cells and germinal center B cells with a conditional deletion of Brwd1 23 samples shares germinal, center
- GSE237799 The influence of TFEB on gene expression in primary murine germinal center and non-germinal center B cells 21 samples shares germinal, center
- GSE278742 Comprehensive transcriptome characterization deciphers mechanisms underpinning the positive selection of B cells in germinal centers. [mouse; short-read] 20 samples shares germinal, center
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.