Multi-modal skin atlas associates a multicellular immune-stromal community with altered cornification and T cell expansion in atopic dermatitis [scRNA-seq]
Single-cell RNA-seq · human · 43 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
- 43 samples: 43 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.
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 GSE204762_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 PRJNA842220. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 35 samples read as cases, 7 as controls.
How we read this: Read from 43 sample titles: 43 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.
- GSM6190732 Patient 1, atopic dermatitis, non-lesional, sample 1, 3' scRNA-seq [P1_AD_NL1]
- GSM6190733 Patient 1, atopic dermatitis, non-lesional, sample 2, 3' scRNA-seq [P1_AD_NL2]
- GSM6190734 Patient 1, atopic dermatitis, lesional, sample 1, 3' scRNA-seq [P1_AD_L1]
- GSM6190735 Patient 1, atopic dermatitis, lesional, sample 2, 3' scRNA-seq [P1_AD_L2]
- GSM6190736 Patient 2, atopic dermatitis, non-lesional, sample 1, 3' scRNA-seq [P2_AD_NL1]
- GSM6190737 Patient 2, atopic dermatitis, non-lesional, sample 2, 3' scRNA-seq [P2_AD_NL2]
- GSM6190738 Patient 2, atopic dermatitis, lesional, sample 1, 3' scRNA-seq [P2_AD_L1]
- GSM6190739 Patient 2, atopic dermatitis, lesional, sample 2, 3' scRNA-seq [P2_AD_L2]
- GSM6190740 Patient 3, atopic dermatitis, non-lesional, sample 1, 3' scRNA-seq [P3_AD_NL1]
- GSM6190741 Patient 3, atopic dermatitis, lesional, sample 1, 3' scRNA-seq [P3_AD_L1]
- GSM6190742 Patient 4, atopic dermatitis, non-lesional, sample 1, 3' scRNA-seq [P4_AD_NL1]
- GSM6190743 Patient 4, atopic dermatitis, lesional, sample 1, 3' scRNA-seq [P4_AD_L1]
- GSM6190744 Patient 5, atopic dermatitis, non-lesional, sample 1, 3' scRNA-seq [P5_AD_NL1]
- GSM6190745 Patient 5, atopic dermatitis, lesional, sample 1, 3' scRNA-seq [P5_AD_L1]
- GSM6190746 Patient 6, atopic dermatitis, non-lesional, sample 1, 3' scRNA-seq [P6_AD_NL1]
- GSM6190747 Patient 6, atopic dermatitis, non-lesional, sample 2, 3' scRNA-seq [P6_AD_NL2]
- GSM6190748 Patient 6, atopic dermatitis, lesional, sample 1, 3' scRNA-seq [P6_AD_L1]
- GSM6190749 Patient 6, atopic dermatitis, lesional, sample 2, 3' scRNA-seq [P6_AD_L2]
- GSM6190750 Patient 7, atopic dermatitis, non-lesional, sample 1, 3' scRNA-seq [P7_AD_NL1]
- GSM6190751 Patient 7, atopic dermatitis, lesional, sample 1, 3' scRNA-seq [P7_AD_L1]
- GSM6190752 Patient 7, atopic dermatitis, lesional, sample 2, 3' scRNA-seq [P7_AD_L2]
- GSM6190753 Patient 8, atopic dermatitis, lesional, sample 1, 3' scRNA-seq [P8_AD_L1]
- GSM6190754 Patient 9, atopic dermatitis, non-lesional, sample 1, 3' scRNA-seq [P9_AD_NL1]
- GSM6190755 Patient 9, atopic dermatitis, non-lesional, sample 2, 3' scRNA-seq [P9_AD_NL2]
- GSM6190756 Patient 9, atopic dermatitis, lesional, sample 1, 3' scRNA-seq [P9_AD_L1]
- GSM6190757 Patient 9, atopic dermatitis, lesional, sample 2, 3' scRNA-seq [P9_AD_L2]
- GSM6190758 Patient 10, atopic dermatitis, non-lesional, sample 1, 3' scRNA-seq [P10_AD_NL1]
- GSM6190759 Patient 10, atopic dermatitis, non-lesional, sample 2, 3' scRNA-seq [P10_AD_NL2]
- GSM6190760 Patient 10, atopic dermatitis, lesional, sample 1, 3' scRNA-seq [P10_AD_L1]
- GSM6190761 Patient 10, atopic dermatitis, lesional, sample 2, 3' scRNA-seq [P10_AD_L2]
- GSM6190762 Patient 11, atopic dermatitis, non-lesional, sample 1, 3' scRNA-seq [P11_AD_NL1]
- GSM6190763 Patient 11, atopic dermatitis, lesional, sample 1, 3' scRNA-seq [P11_AD_L1]
- GSM6190764 Normal skin 1, sample 1, 3' scRNA-seq [Normal1_1]
- GSM6190765 Normal skin 2, sample 1, 3' scRNA-seq [Normal2_1]
- GSM6190766 Normal skin 3, sample 1, 3' scRNA-seq [Normal3_1]
- GSM6190767 Normal skin 3, sample 2, 3' scRNA-seq [Normal3_2]
- GSM6190768 Normal skin 4, sample 1, 3' scRNA-seq [Normal4_1]
- GSM6190769 Normal skin 5, sample 1, 3' scRNA-seq [Normal5_1]
- GSM6190770 Normal skin 6, sample 1, 3' scRNA-seq [Normal6_1]
- GSM6190771 Patient 12, scleroderma, non-lesional and lesional, sample 1, 3' scRNA-seq [P12_SC]
+ 3 more — browse all 43 samples with per-sample file links →
- GSE204765 Multi-modal skin atlas associates a multicellular immune-stromal community with altered cornification and T cell expansion in atopic dermatitis. 46 samples shares immune-stromal, multicellular, cornification, multi-modal, associates, dermatitis, community, expansion
- GSE275370 Multicellular derived S100A8/A9 maintains megakaryocytes in an immature state in immune thrombocytopenia. 7 samples shares multicellular
- GSE300551 Massively multiplex multi-modal chemical screens at single-cell resolution with icCITE-plex 25 samples shares multi-modal
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.