CD40-induced humoral immunity
RNA-seq (gene expression) · mouse · 18 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
- 18 samples: 14 distinct titles, 2 of them repeatedGroups 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.
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 GSE325803_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 PRJNA1441975 and SRA study SRP686177. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 18 sample titles: 14 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.
- GSM9613655 DK.29
- GSM9613656 DK.29.CD40.IL.4
- GSM9613657 DK.29.LPS.IL.4
- GSM9613658 DK.28
- GSM9613659 DK.28.CD40.IL.4
- GSM9613660 DK.28.LPS.IL.4
- GSM9613661 DK.27
- GSM9613662 DK.27.CD40.IL.4
- GSM9613663 DK.27.LPS.IL.4
- GSM9613664 WT.38
- GSM9613665 WT.38.CD40.IL.4
- GSM9613666 WT.36
- GSM9613667 WT.36.CD40.IL.4
- GSM9613668 WT.36.LPS.IL.4
- GSM9613669 WT.35
- GSM9613670 WT.35.CD40.IL.4
- GSM9613671 WT.35.LPS.IL.4
- GSM9613672 WT38.LPS.IL.4
- GSE325579 NEMO lysine mutant mice reveal ROS-RelA signaling required for optimal CD40-induced humoral immunity [NEMODK_ATACSeq] 12 samples shares cd40-induced, immunity, humoral
- GSE293874 Anchored screening identifies transcription factor blueprints underlying dendritic cell diversity and subset-specific anti-tumor immunity [mouse bulk RNA-seq] 167 samples shares immunity
- GSE312237 Spatial transcriptomic profiling identifies lacrimal gland epithelial cell-driven mechanisms underlying autoimmunity in Sjögren’s disease 90 samples shares immunity
- GSE278990 Single-cell screens identify ADAM12 as a fibroblast checkpoint impeding anti-tumor immunity 73 samples shares immunity
- GSE313112 Inhibition of METTL3 by STC-15 induces RNA misprocessing that results in dsRNA formation and activates innate immunity [RNA-Seq MC38] 69 samples shares immunity
- GSE322775 Coordinated immune activation following KRAS inhibition reveals molecular pathways that potentiate and limit anti-tumor immunity 47 samples shares immunity
- GSE295728 Vaccination against Onchocerca volvulus induces IgG-mediated protective immunity dependent on neutrophils and complement 47 samples shares immunity
- GSE230599 Cross-talk between ILC2 and Gata3high Treg locally constrains adaptive type 2 immunity 41 samples shares immunity
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.