Multi-omics dissection of human RAG deficiency reveals distinctive patterns of immune dysregulation but a common inflammatory signature
RNA-seq (gene expression) · human · 63 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
- Homo sapiens (human)
- Samples
- 63 samples: 5 conditions, mostly with about 12 replicates eachGroups 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
- Multiomics dissection of human RAG deficiency reveals distinctive patterns of immune dysregulation but a common inflammatory signatureScience immunology · 2025
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 GSE274284_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 PRJNA1145867 and SRA study SRP524985. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 63 samples.
How we read this: 5 replicated groups read from 63 sample titles; they account for 63 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.
- GSM8446871 bcr01 bc
- GSM8446872 bcr02 bc
- GSM8446873 bcr03 bc
- GSM8446874 bcr04 bc
- GSM8446875 bcr05 bc
- GSM8446876 bcr06 bc
- GSM8446877 bcr07 bc
- GSM8446878 bcr08 bc
- GSM8446879 bcr09 bc
- GSM8446880 bcr10 bc
- GSM8446881 bcr11 bc
- GSM8446882 bcr12 bc
- GSM8446883 csp01 csp
- GSM8446884 csp02 csp
- GSM8446885 csp03 csp
- GSM8446886 csp04 csp
- GSM8446887 csp05 csp
- GSM8446888 csp06 csp
- GSM8446889 csp07 csp
- GSM8446890 csp08 csp
- GSM8446891 csp09 csp
- GSM8446892 csp10 csp
- GSM8446893 csp11 csp
- GSM8446894 csp12 csp
- GSM8446895 rna5p01 rna5p
- GSM8446896 rna5p02 rna5p
- GSM8446897 rna5p03 rna5p
- GSM8446898 rna5p04 rna5p
- GSM8446899 rna5p05 rna5p
- GSM8446900 rna5p06 rna5p
- GSM8446901 rna5p07 rna5p
- GSM8446902 rna5p08 rna5p
- GSM8446903 rna5p09 rna5p
- GSM8446904 rna5p10 rna5p
- GSM8446905 rna5p11 rna5p
- GSM8446906 rna5p12 rna5p
- GSM8446907 tcr01 tc
- GSM8446908 tcr02 tc
- GSM8446909 tcr03 tc
- GSM8446910 tcr04 tc
+ 23 more — browse all 63 samples with per-sample file links →
- GSE325674 Leveraging experimental evolution to extract predictive collateral drug response signatures in Ewings Sarcoma 73 samples shares rag, signature
- GSE330130 A multi-omics characterization of the human lumbar spinal cord and motor cortex reveals non-overlapping molecular signatures in ALS [snRNA-Seq; snATAC-Seq] 87 samples shares multi-omics, signature
- GSE269826 Conserved patterns of transcriptional dysregulation, heterogeneity and cell states in clear cell kidney cancer [scRNA-seq] 79 samples shares dysregulation, patterns
- GSE282696 DISTINCTIVE MOLECULAR SIGNATURE AND STRUCTURAL ALTERATIONS OF THE COLONIC BRUSH BORDER IN MICROSCOPIC COLITIS 48 samples shares distinctive, signature
- GSE273848 Definition of a multi-omics signature for Esophageal Adenocarcinoma prognosis prediction [totalRNA-seq] 40 samples shares multi-omics, signature
- GSE289574 Multi-omics Analysis of Skeletal Muscle Identifies Dysregulation of Hypoxia-Induced Genes in Peripheral Artery Disease [RNA-seq] 40 samples shares dysregulation, multi-omics
- GSE291865 Multi-omics analyses construct an inflammatory response based prognostic gene signature for cervical cancer and suggest tumor infiltrating monocytes subgroups as key players 23 samples shares multi-omics, signature
- GSE286415 Spatial multi-omics defines a shared glioblastoma infiltrative signature at the resection margin [snATAC-seq] 12 samples shares multi-omics, signature
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.