B1b cell homeostasis is maintained by CD40 in atherosclerosis
RNA-seq (gene expression) · mouse · 16 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
- 16 samples: 10 × ao vs 6 × B1bGroups 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.
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 GSE186134_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 PRJNA772716 and SRA study SRP342123. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 2 replicated groups read from 16 sample titles; they account for 16 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.
- GSM5639039 B1b2 B1b
- GSM5639040 B1b3 B1b
- GSM5639041 B1b4 B1b
- GSM5639042 B1b5 B1b
- GSM5639043 B1b6 B1b
- GSM5639044 B1b7 B1b
- GSM5639045 ao1 ao
- GSM5639046 ao2 ao
- GSM5639047 ao3 ao
- GSM5639048 ao4 ao
- GSM5639049 ao5 ao
- GSM5639050 ao7 ao
- GSM5639051 ao8 ao
- GSM5639052 ao9 ao
- GSM5639053 ao10 ao
- GSM5639054 ao13 ao
- GSE248155 Effect of regorafenib, anti-PD1, and anti-CD40 agonist in Head and Neck Squamous Cell Carcinoma 31 samples shares cd40
- GSE248154 Effect of regorafenib, anti-PD1, and anti-CD40 agonist in Head and Neck Squamous Cell Carcinoma [4NQO_model] 19 samples shares cd40
- GSE283198 Combined Flt3L and CD40 agonism restores dendritic cell driven T cell immunity in mouse models and patients with pancreatic cancer [mouse] 13 samples shares cd40
- GSE325803 CD40-induced humoral immunity 18 samples shares cd40
- GSE287681 IFN-γ induced the formation of foamy macrophages by CD40 signaling control during Mycobacterium abscessus pulmonary infection 17 samples shares cd40
- GSE291447 Targeting CD11b+ regulatory B cells via RAS/RAF/PI3K pathway inhibition augments response to immune checkpoint blockade or CD40 agonism in metastatic melanoma 60 samples shares cd40
- GSE298036 Fc-optimized CD40 Agonistic Antibody Induces Tertiary Lymphoid Structures and Systemic Antitumor Immunity in Metastatic Cancer Patients 33 samples shares cd40
- GSE325579 NEMO lysine mutant mice reveal ROS-RelA signaling required for optimal CD40-induced humoral immunity [NEMODK_ATACSeq] 12 samples shares cd40
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.