Erythropoietin receptor on cDC1s dictates immune tolerance
RNA-seq (gene expression) · mouse · 20 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
- 20 samples: 8 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.
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 GSE253056_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 PRJNA1063723 and SRA study SRP483308. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 20 samples.
How we read this: 8 replicated groups read from 20 sample titles; they account for 20 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.
- GSM8013033 cDC1s, TLI/ATS_1 cDC1s, TLI/ATS
- GSM8013034 cDC1s, TLI/ATS_2 cDC1s, TLI/ATS
- GSM8013035 cDC1s, UNT_1 cDC1s, UNT
- GSM8013036 cDC1s, UNT_2 cDC1s, UNT
- GSM8013037 EpoR+ cDC1s, TLI/ATS_1 EpoR+ cDC1s, TLI/ATS
- GSM8013038 EpoR+ cDC1s, TLI/ATS_2 EpoR+ cDC1s, TLI/ATS
- GSM8013039 EpoR- cDC1s, TLI/ATS_1 EpoR- cDC1s, TLI/ATS
- GSM8013040 EpoR- cDC1s, TLI/ATS_2 EpoR- cDC1s, TLI/ATS
- GSM9159637 Spleen Ctrl_1 Spleen Ctrl
- GSM9159638 Spleen Ctrl_2 Spleen Ctrl
- GSM9159639 Spleen Ctrl_3 Spleen Ctrl
- GSM9159640 Spleen cKO_1 Spleen cKO
- GSM9159641 Spleen cKO_2 Spleen cKO
- GSM9159642 Spleen cKO_3 Spleen cKO
- GSM9159643 pLN Ctrl_1 pLN Ctrl
- GSM9159644 pLN Ctrl_2 pLN Ctrl
- GSM9159645 pLN Ctrl_3 pLN Ctrl
- GSM9159646 pLN cKO_1 pLN cKO
- GSM9159647 pLN cKO_2 pLN cKO
- GSM9159648 pLN cKO_3 pLN cKO
- GSE305274 Toll-like Receptor 4 Induces Trained Innate Immune Tolerance in the Heart in a Model of Stress-induced Cardiomyopathy [ATAC-seq] 12 samples shares tolerance, receptor
- GSE326200 Absence of Clec1a in murine cDC1s decrease IFN responses to necrotic cells 237 samples shares cdc1s
- GSE268774 Lymph node macrophages drive immune tolerance and resistance to cancer therapy by expression of the immune-regulatory cytokine IL-33 [RNA-seq] 48 samples shares tolerance
- GSE307127 Immune Receptor Lag3 Deletion Alleviates Neurodegeneration Phenotypes in a Mouse Model of Alzheimer’s Disease 36 samples shares receptor
- GSE301140 Dual Programmed Death Receptor-1 and Vascular Endothelial Growth Factor Receptor-2 Blockade Promotes Vascular Normalization and Enhances Antitumor Immune Responses in Hepatocellular Carcinoma 18 samples shares receptor
- GSE310031 Gut microbiota promote immune tolerance at the maternal-fetal interface 12 samples shares tolerance
- GSE277668 Bone marrow niches orchestrate stem cell hierarchy and immune tolerance 12 samples shares tolerance
- GSE263901 The Rapid Evolution of Chronic Inflammation to Tolerance / Immune Suppression: Mapping Bidirectional Checkpoints 11 samples shares tolerance
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.