Single-cell RNA and TCR sequencing from skin, blood and cerebral spinal fluid (CSF) samples from Degos disease patients
Single-cell RNA-seq · human · 116 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Samples
- 116 samples: 103 distinct titles, 12 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 GSE279392_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1172604 and SRA study SRP536700. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 116 sample titles: 103 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.
- GSM8555680 HV_1_Skin
- GSM8555681 HV_2_Skin
- GSM8555682 HV_3_Skin
- GSM8555683 HV_4_Skin
- GSM8555684 HV_5_Skin
- GSM8555685 HV_6_Skin
- GSM8555686 HV_7_Skin
- GSM8555687 HV_8_Skin
- GSM8555688 Degos_1_Skin_Inflam_Rep1
- GSM8555689 Degos_1_Skin_Inflam_Rep2
- GSM8555690 Degos_2_Skin_Inflam_Lesion_1
- GSM8555691 Degos_2_Skin_Inflam_Lesion_2
- GSM8555692 Degos_3_Skin_Inflam_PostRuxo_Wk_0_Rep1
- GSM8555693 Degos_3_Skin_Inflam_PostRuxo_Wk_0_Rep2
- GSM8555694 Degos_4_Skin_Inflam
- GSM8555695 Degos_1_Skin_Scar_Rep1
- GSM8555696 Degos_1_Skin_Scar_Rep2
- GSM8555697 Degos_3_Skin_Scar_Rep1
- GSM8555698 Degos_3_Skin_Scar_Rep2
- GSM8555699 Degos_4_Skin_Scar
- GSM8555700 Degos_5_Skin_Scar
- GSM8555701 Degos_14_Skin_Scar_Lesion_1_Rep1
- GSM8555702 Degos_14_Skin_Scar_Lesion_1_Rep2
- GSM8555703 Degos_14_Skin_Scar_Lesion_2
- GSM8555704 Degos_3_Skin_Inflam_PostRuxo_Wk_12
- GSM8555705 HV_1_PBMC
- GSM8555706 HV_2_PBMC
- GSM8555707 HV_3_PBMC
- GSM8555708 HV_4_PBMC
- GSM8555709 HV_5_PBMC
- GSM8555710 HV_6_PBMC
- GSM8555711 HV_7_PBMC
- GSM8555712 HV_8_PBMC
- GSM8555713 Degos_1_PBMC
- GSM8555714 Degos_2_PBMC
- GSM8555715 Degos_3_PBMC
- GSM8555716 Degos_4_PBMC
- GSM8555717 Degos_5_PBMC
- GSM8555718 Degos_6_PBMC
- GSM8555719 Degos_7_PBMC
+ 76 more — browse all 116 samples with per-sample file links →
- GSE299348 Single-cell epigenetic, transcriptional, protein, and TCR states of HIV-1-infected cells in gut 117 samples shares tcr, single-cell
- GSE254176 Dynamic changes of immune cells in systemic lupus erythematosus with nephritis using longitudinal peripheral blood single-cell RNA-seq 57 samples shares single-cell, blood
- GSE334923 Single-cell RNA-seq atlas of peripheral blood and kidney graft immune cells in chronic antibody-mediated rejection 48 samples shares single-cell, blood
- GSE296117 A single-cell RNA-seq dataset of synovial fluid from rheumatoid arthritis treated with TNF-α/JAK inhibitor 18 samples shares single-cell, fluid
- GSE269269 Single-Cell RNA Sequencing of Peripheral Blood Mononuclear Cells From Acute Myocardial Infarction 10 samples shares single-cell, blood
- GSE286518 Integrative CSF profiling identifies disease-specific immune responses in leptomeningeal disease 42 samples shares csf
- GSE286068 CITEseq analysis of human CSF cells in Multiple sclerosis 26 samples shares csf
- GSE315928 Differential T cell clonal dynamics underlie outcomes to frontline chemoimmunotherapy in advanced gastric cancer [paired scRNA/TCR-seq] 94 samples shares tcr
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.