Regulated somatic hypermutation enhances antibody affinity maturation
RNA-seq (gene expression) · mouse · 27 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
- 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
- Regulated somatic hypermutation enhances antibody affinity maturationNature · 2025
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 GSE287123_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 PRJNA1211152 and SRA study SRP557643. 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.
- GSM8739131 mCherry_high, GC B cell , 10x RNA
- GSM8739132 mCherry_high, GC B cell, HTO
- GSM8739133 mCherry_high, GC B cell, 10x VDJ (BCR)
- GSM8739134 mCherry_low, GC B cell, 10x RNA
- GSM8739135 mCherry_low, GC B cell, HTO
- GSM8739136 mCherry_low, GC B cell, 10x VDJ (BCR)
- GSM8739137 RBD_negative_gross, GC B cell, 10x RNA
- GSM8739138 RBD_negative_gross, GC B cell, HTO
- GSM8739139 RBD_negative_gross, GC B cell, 10x VDJ (BCR)
- GSM8739140 RBD_positive_gross, GC B cell/contaminant CD8 T cell, 10x RNA
- GSM8739141 RBD_positive_gross, GC B cell/contaminant CD8 T cell, HTO
- GSM8739142 RBD_positive_gross, GC B cell/contaminant CD8 T cell, 10x VDJ (BCR)
- GSM8739143 RBD_bait_negative_mCherry_low_mRNA_LZ_mCherryhigh, GC B cell, 10x RNA
- GSM8739144 RBD_bait_negative_mCherry_low_mRNA_LZ_mCherryhigh, GC B cell, HTO
- GSM8739145 RBD_bait_negative_mCherry_low_mRNA_LZ_mCherryhigh, GC B cell, 10x VDJ (BCR)
- GSM8739146 RBD_bait_negative_mCherry_high_mRNA_LZ_mCherrylow, GC B cell, 10x RNA
- GSM8739147 RBD_bait_negative_mCherry_high_mRNA_LZ_mCherrylow, GC B celll, HTO
- GSM8739148 RBD_bait_negative_mCherry_high_mRNA_LZ_mCherrylow, GC B cell, 10x VDJ (BCR)
- GSM8739149 RBD_bait_positive_mCherry_low_mRNA_DZ_mCherryhigh, GC B cell, 10x RNA
- GSM8739150 RBD_bait_positive_mCherry_low_mRNA_DZ_mCherryhigh, GC B cell, HTO
- GSM8739151 RBD_bait_positive_mCherry_low_mRNA_DZ_mCherryhigh, GC B cell, 10x VDJ (BCR)
- GSM8739152 RBD_bait_positive_mCherry_high_mRNA_DZ_mCherrylow, GC B cell, 10x RNA
- GSM8739153 RBD_bait_positive_mCherry_high_mRNA_DZ_mCherrylow, GC B cell, HTO
- GSM8739154 RBD_bait_positive_mCherry_high_mRNA_DZ_mCherrylow,GC B cell, 10x VDJ (BCR)
- GSM8739155 NP-OVA_DEC_OVAboost_24h, GC B cell, 10x RNA
- GSM8739156 NP-OVA_DEC_OVAboost_24h, GC B cell, HTO
- GSM8739157 NP-OVA_DEC_OVAboost_24h, GC B cell, 10x VDJ (BCR)
- GSE285185 Dynamic regulation of somatic hypermutation in germinal centers enables rapid B cell clonal expansion without loss of affinity 17 samples shares hypermutation, affinity, somatic
- GSE330629 A humanized monoclonal antibody targeting human ENPP1, an ectonucleotidase expressed in the diseased human kidney, enhances tubular proliferation and kidney repair and is safe in non-human primates 24 samples shares enhances, antibody
- GSE288059 CFP1 promotes germinal center affinity maturation and restrains and memory B cell differentiation through H3K4me3 modulation 12 samples shares maturation, affinity
- GSE205438 RNA splicing controls organ-wide maturation of postnatal heart in mice 88 samples shares maturation
- GSE326797 Antibody Mediated Diversification of Primary and Secondary Humoral Immune Responses 54 samples shares antibody
- GSE279232 Lipid nanoparticles as a tool to dissect dendritic cell maturation pathways 27 samples shares maturation
- GSE305350 CD27 Agonism Enhances Long-Lived CD4⁺ T Cell Vaccine Responses Critical for 2 Anti-Tumor Immunity 26 samples shares enhances
- GSE242934 Single-cell activation screen identifies hepatic maturation regulators with zonal resolution 24 samples shares maturation
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.