Slc44a2 deficiency unveils an IFN-I–dependent feedback control of pDC egress
RNA-seq (gene expression) · mouse · 8 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
- 8 samples: 8 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
- Slc44a2 Deficiency Unveils an IFN-I-Dependent Feedback Control of pDC EgressAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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 GSE326459_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 PRJNA1445306 and SRA study SRP687853. 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 8 sample titles: 8 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.
- GSM9632027 BM_SCA-1_pDCs_WT1_1.fq.gz
- GSM9632028 BM_SCA-1_pDCs_WT2_1.fq.gz
- GSM9632029 BM_SCA-1_pDCs_WT3_1.fq.gz
- GSM9632030 BM_SCA-1_pDCs_WT4_1.fq.gz
- GSM9632031 BM_SCA-1_pDCs_KO1_1.fq.gz
- GSM9632032 BM_SCA-1_pDCs_KO2_1.fq.gz
- GSM9632033 BM_SCA-1_pDCs_KO3_1.fq.gz
- GSM9632034 BM_SCA-1_pDCs_KO4_1.fq.gz
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- GSE323368 Matrix Stiffness Induces Midnolin-dependent Lamin B1 Degradation to Control Myoblast Differentiation 18 samples shares dependent, control
- GSE331248 Hepatic translation rewiring in insulin deficiency identifies Reg3α as an insulin-independent glucoregulatory factor [RNA_Ribo_Seq: ID_Healthy] 20 samples shares deficiency, dependent
- GSE331062 Hepatic translation rewiring in insulin deficiency identifies Reg3α as an insulin-independent glucoregulatory factor 16 samples shares deficiency, dependent
- GSE334405 cGAS-mediated IFN-I signaling contributes to disease progression in drug-refractory epilepsy 44 samples shares ifn-i
- GSE255004 Sensory Flicker Stimulation of 5xFAD Mice Activates Immune Pathways in a Frequency and Time Dependent Manner 176 samples shares dependent
- GSE254229 ALS/FTD-linked TBK1 deficiency in microglia induces an aged-like microglial signature and drives social recognition deficits in mice 141 samples shares deficiency
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.