Corticosteroid resistance is predetermined by early immune response dynamics at acute Graft-versus-Host disease onset
RNA-seq (gene expression) · human · 122 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
- 122 samples: 122 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
- Corticosteroid resistance is predetermined by early immune response dynamics at acute graft-versus-host disease onsetScience translational medicine · 2026
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 GSE229733_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 PRJNA955723 and SRA study SRP432678. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 110 samples read as cases, 12 as controls.
How we read this: Read from 122 sample titles: 122 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.
- GSM7174109 Healthy donor number 1 HD1 geneexp
- GSM7174110 Healthy donor number 2 HD2 geneexp
- GSM7174111 Healthy donor number 3 HD3 geneexp
- GSM7174112 Healthy donor number 4 HD4 geneexp
- GSM7174113 Healthy donor number 5 HD5 geneexp
- GSM7174114 Healthy donor number 6 HD6 geneexp
- GSM7174115 Patient R1896 geneexp
- GSM7174116 Patient R2029 geneexp
- GSM7174117 Patient R2043 geneexp
- GSM7174118 Patient R2122 geneexp
- GSM7174119 Patient R2268 geneexp
- GSM7174120 Patient R2315 geneexp
- GSM7174121 Patient R2412 geneexp
- GSM7174122 Patient R2475 geneexp
- GSM7174123 Patient R2508 geneexp
- GSM7174124 Patient R2521 geneexp
- GSM7174125 Patient R2632 geneexp
- GSM7174126 Patient R2643 geneexp
- GSM7174127 Patient R2684 geneexp
- GSM7174128 Patient R2700 geneexp
- GSM7174129 Patient R2718 geneexp
- GSM7174130 Patient R2759 geneexp
- GSM7174131 Patient R2794 geneexp
- GSM7174132 Patient R2807 geneexp
- GSM7174133 Patient R2813 geneexp
- GSM7174134 Patient R2904 geneexp
- GSM7174135 Patient R3008 geneexp
- GSM7174136 Patient R3017 geneexp
- GSM7174137 Patient R3052 geneexp
- GSM7174138 Patient R3075 geneexp
- GSM7174139 Patient R3086 geneexp
- GSM7174140 Patient R3182 geneexp
- GSM7174141 Patient R3195 geneexp
- GSM7174142 Patient R3222 geneexp
- GSM7174143 Patient R3242 geneexp
- GSM7174144 Patient R3291 geneexp
- GSM7174145 Patient R3325 geneexp
- GSM7174146 Patient R3338 geneexp
- GSM7174147 Patient R3353 geneexp
- GSM7174148 Patient R3358 geneexp
+ 82 more — browse all 122 samples with per-sample file links →
- GSE269338 Single-cell transcriptome analysis reveals atypical monocytes circulating ahead of acute graft-versus-host disease clinical onset 14 samples shares graft-versus-host, acute, onset
- GSE284015 GZMK-expressing tissue-resident memory CD8+ T cells mediate human intestinal acute graft-versus-host disease 26 samples shares graft-versus-host, acute
- GSE307215 Spatiotemporal Single-Cell Profiling Reveals T Cell Clonal Dynamics and Phenotypic Plasticity in Human Graft-versus-Host Disease 104 samples shares graft-versus-host, dynamics
- GSE300628 HER2 heterogeneous breast cancer models reveal novel therapeutic targets and subclonal dynamics during evolution to resistance to HER2-targeted therapies 60 samples shares resistance, dynamics
- GSE325486 ESR1 mutations shape the clonal dynamics, genetic diversity and cellular states of acquired resistance to CDK4/6 inhibitors 57 samples shares resistance, dynamics
- GSE228382 Single cell lineage tracing reveals clonal dynamics of anti-EGFR therapy resistance in triple negative breast cancer. 16 samples shares resistance, dynamics
- GSE235863 T cell populations correlate with response and resistance to anti-PD-1 plus lenvatinib combination therapy in hepatocellular carcinoma 69 samples shares resistance
- GSE324062 RAS pathway activation drives clonal selection and monocytic differentiation in FLT3 and BCL2 inhibitor resistance 61 samples shares resistance
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.