mRNA-seq of wild-type or p53-deficient B cells expressing MHV68 M2
RNA-seq (gene expression) · mouse · 17 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
- 17 samples: 6 conditions, mostly in triplicateGroups 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
- Intrinsic p53 activation restricts gammaherpesvirus driven germinal center B cell expansion during latency establishmentNature communications · 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 GSE225579_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 PRJNA936439 and SRA study SRP423296. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 17 samples.
How we read this: 6 replicated groups read from 17 sample titles; they account for 17 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.
- GSM7050654 C57BL/6 B cells, p53-WT, pRetroX_M2_IRES_ZsGreen, Day 4 #1 C57BL/6 B cells, p53-WT…
- GSM7050655 C57BL/6 B cells, p53-WT, pRetroX_M2_IRES_ZsGreen, Day 4 #2 C57BL/6 B cells, p53-WT…
- GSM7050656 C57BL/6 B cells, p53-WT, pRetroX_M2.Stop_IRES_ZsGreen, Day 4 #1 C57BL/6 B cells, p53-WT…
- GSM7050657 C57BL/6 B cells, p53-WT, pRetroX_M2.Stop_IRES_ZsGreen, Day 4 #2 C57BL/6 B cells, p53-WT…
- GSM7050658 C57BL/6 B cells, p53-WT, pRetroX_M2.Stop_IRES_ZsGreen, Day 4 #3 C57BL/6 B cells, p53-WT…
- GSM7050659 C57BL/6 B cells, p53-KO, pRetroX_M2_IRES_ZsGreen, Day 4 #1 C57BL/6 B cells, p53-KO…
- GSM7050660 C57BL/6 B cells, p53-KO, pRetroX_M2_IRES_ZsGreen, Day 4 #2 C57BL/6 B cells, p53-KO…
- GSM7050661 C57BL/6 B cells, p53-KO, pRetroX_M2_IRES_ZsGreen, Day 4 #3 C57BL/6 B cells, p53-KO…
- GSM7050662 C57BL/6 B cells, p53-KO, pRetroX_M2.Stop_IRES_ZsGreen, Day 4 #1 C57BL/6 B cells, p53-KO…
- GSM7050663 C57BL/6 B cells, p53-KO, pRetroX_M2.Stop_IRES_ZsGreen, Day 4 #2 C57BL/6 B cells, p53-KO…
- GSM7050664 C57BL/6 B cells, p53-KO, pRetroX_M2.Stop_IRES_ZsGreen, Day 4 #3 C57BL/6 B cells, p53-KO…
- GSM7733012 C57BL/6 B cells, p53-WT, pRetroX_LMP1_IRES_ZsGreen, Day 4 #1 C57BL/6 B cells, p53-WT…
- GSM7733013 C57BL/6 B cells, p53-WT, pRetroX_LMP1_IRES_ZsGreen, Day 4 #2 C57BL/6 B cells, p53-WT…
- GSM7733014 C57BL/6 B cells, p53-WT, pRetroX_LMP1_IRES_ZsGreen, Day 4 #3 C57BL/6 B cells, p53-WT…
- GSM7733015 C57BL/6 B cells, p53-KO, pRetroX_LMP1_IRES_ZsGreen, Day 4 #1 C57BL/6 B cells, p53-KO…
- GSM7733016 C57BL/6 B cells, p53-KO, pRetroX_LMP1_IRES_ZsGreen, Day 4 #2 C57BL/6 B cells, p53-KO…
- GSM7733017 C57BL/6 B cells, p53-KO, pRetroX_LMP1_IRES_ZsGreen, Day 4 #3 C57BL/6 B cells, p53-KO…
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- GSE278527 Clearance of p21-highly-expressing senescent cells accelerates cutaneous wound healing 36 samples shares expressing
- GSE263081 RNA-sea of Smad4 wild-type or Smad4 knockout KvPC PDAC organoids from monocultures or co-cultures with pancreatic stellate cells and RNA-seq of flow-sorted PSCs from the same co-cultures. 35 samples shares wild-type
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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.