Spatiotemporal Single-Cell Profiling Reveals T Cell Clonal Dynamics and Phenotypic Plasticity in Human Graft-versus-Host Disease
Single-cell RNA-seq · human · 104 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
- 104 samples: 97 distinct titles, 1 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.
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 GSE307215_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 PRJNA1314770 and SRA study SRP617481. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 104 sample titles: 97 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.
- GSM9219126 RH01 gut scRNA-seq
- GSM9219127 RH01 TCR-seq
- GSM9219128 RH02 gut scRNA-seq
- GSM9219129 RH02 TCR-seq
- GSM9219130 RH03 gut scRNA-seq
- GSM9219131 RH03 TCR-seq
- GSM9219132 RH04 gut scRNA-seq
- GSM9219133 RH04 TCR-seq
- GSM9219134 RH05 gut scRNA-seq
- GSM9219135 RH05 TCR-seq
- GSM9219136 RH06 gut scRNA-seq
- GSM9219137 RH06 TCR-seq
- GSM9219138 RH07 gut scRNA-seq
- GSM9219139 RH07 TCR-seq
- GSM9219140 RH08 gut scRNA-seq
- GSM9219141 RH08 TCR-seq
- GSM9219142 RH09 TCR-seq
- GSM9219143 RH10 gut scRNA-seq
- GSM9219144 RH10 TCR-seq
- GSM9219145 RH11 gut scRNA-seq
- GSM9219146 RH11 TCR-seq
- GSM9219147 RH12 gut scRNA-seq
- GSM9219148 RH12 TCR-seq
- GSM9219149 RH13 gut scRNA-seq
- GSM9219150 RH13 TCR-seq
- GSM9219151 RH14 gut scRNA-seq
- GSM9219152 RH14 TCR-seq
- GSM9219153 RH_09 gut scRNA-seq
- GSM9219154 UA01 gut scRNA-seq
- GSM9219155 UA01 TCR-seq
- GSM9219156 UA02 gut scRNA-seq
- GSM9219157 UA02 TCR-seq
- GSM9219158 UA03 gut scRNA-seq
- GSM9219159 UA03 TCR-seq
- GSM9219160 UA04 gut scRNA-seq
- GSM9219161 UA04 TCR-seq
- GSM9219162 UA05 gut scRNA-seq
- GSM9219163 UA05 TCR-seq
- GSM9219164 UA06 RNA-seq
- GSM9219165 UA06 TCR-seq
+ 64 more — browse all 104 samples with per-sample file links →
- GSE229733 Corticosteroid resistance is predetermined by early immune response dynamics at acute Graft-versus-Host disease onset 122 samples shares graft-versus-host, dynamics
- GSE263733 Single-cell transcriptome analysis reveals subtype-specific clonal evolution and microenvironmental changes in liver metastasis of pancreatic adenocarcinoma and their clinical implications 218 samples shares single-cell, clonal
- GSE324208 Epigenetic reprogramming drives cellular and phenotypic plasticity in liposarcoma 42 samples shares phenotypic, plasticity
- GSE324131 A single-cell and spatial atlas of prostate cancer reveals the combinatorial nature of gene modules underlying lineage plasticity and metastasis 38 samples shares single-cell, plasticity
- GSE335480 Single-cell tracking reveals tumor-reactive T cell plasticity during melanoma TIL therapy 38 samples shares single-cell, plasticity
- GSE241132 Spatiotemporal Single-Cell Roadmap of Human Skin Wound Healing (Single-cell-Wound) 12 samples shares spatiotemporal, single-cell
- GSE282122 A longitudinal single-cell atlas of anti-tumour necrosis factor treatment in inflammatory bowel disease 216 samples shares single-cell
- GSE279392 Single-cell RNA and TCR sequencing from skin, blood and cerebral spinal fluid (CSF) samples from Degos disease patients 116 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.