Integrated single-cell chromatin and transcriptomic analyses of human peripheral immune cells in patients with alopecia areata.
Single-cell RNA-seq · human · 32 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
- 32 samples: 32 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
- Integrated single-cell chromatin and transcriptomic analyses of peripheral immune cells in patients with alopecia areataFrontiers in 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 GSE277469_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 PRJNA1162488 and SRA study SRP533421. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 22 samples read as cases, 10 as controls.
How we read this: Read from 32 sample titles: 32 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.
- GSM8522901 AA032 Patient GEX
- GSM8522902 AA037 Patient GEX
- GSM8522903 AA040 Patient GEX
- GSM8522904 AA042 Patient GEX
- GSM8522905 AA049 Patient GEX
- GSM8522906 AA033 Patient GEX
- GSM8522907 AA034 Patient GEX
- GSM8522908 AA035 Patient GEX
- GSM8522909 AA038 Patient GEX
- GSM8522910 AA041 Patient GEX
- GSM8522911 AA043 Patient GEX
- GSM8522912 CN205 Control GEX
- GSM8522913 CN206 Control GEX
- GSM8522914 CN209 Control GEX
- GSM8522915 CN210 Control GEX
- GSM8522916 CN212 Control GEX
- GSM8522917 AA032 Patient ATAC
- GSM8522918 AA037 Patient ATAC
- GSM8522919 AA040 Patient ATAC
- GSM8522920 AA042 Patient ATAC
- GSM8522921 AA049 Patient ATAC
- GSM8522922 AA033 Patient ATAC
- GSM8522923 AA034 Patient ATAC
- GSM8522924 AA035 Patient ATAC
- GSM8522925 AA038 Patient ATAC
- GSM8522926 AA041 Patient ATAC
- GSM8522927 AA043 Patient ATAC
- GSM8522928 CN205 Control ATAC
- GSM8522929 CN206 Control ATAC
- GSM8522930 CN209 Control ATAC
- GSM8522931 CN210 Control ATAC
- GSM8522932 CN212 Control ATAC
- GSE316832 Comprehensive single-cell transcriptomic profiling of the scalp from patients with moderate-to-severe alopecia areata 30 samples shares single-cell, alopecia, areata
- GSE337246 Integrated single-cell profiling of RNA and DNA interactomes reveals targetable chromatin architectures in cancer [scRNA-Seq organoids] 35 samples shares single-cell, integrated, chromatin
- GSE337829 Integrated single-cell profiling of RNA and DNA interactomes reveals targetable chromatin architectures in cancer [ChIP-Seq] 32 samples shares single-cell, integrated, chromatin
- GSE278694 Integrated Single-Cell and Spatial Transcriptomics Uncover Distinct Cellular Subtypes Involved in Neural Invasion in PDAC 88 samples shares single-cell, integrated
- GSE278688 Integrated Single-Cell and Spatial Transcriptomics Uncover Distinct Cellular Subtypes Involved in Neural Invasion in PDAC [scRNA-Seq] 29 samples shares single-cell, integrated
- GSE327819 Single-molecule, single-cell profiling of linked chromatin states [Bulk_CoCUT&Tag] 35 samples shares single-cell, chromatin
- GSE233321 Single-cell map of the healthy human immune system across the lifespan reveals unique infant immune signatures 118 samples shares single-cell
- GSE243013 A single-cell atlas of immune heterogeneity in anti-PD1-treated non-small cell lung cancer 243 samples shares single-cell
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.