Testing of a human blood gene signature for quantitative dose reconstruction of radiation dose: dose rate effects
RNA-seq (gene expression) · human · 32 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
- 32 samples
- 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 GSE224878_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 PRJNA932841 and SRA study SRP421552. Searching any of these in the dataset finder brings you back here.
The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Sample titles run SS001 … SS032 and carry no group information.
- GSM7034814 SS001
- GSM7034815 SS002
- GSM7034816 SS003
- GSM7034817 SS004
- GSM7034818 SS005
- GSM7034819 SS006
- GSM7034820 SS007
- GSM7034821 SS008
- GSM7034822 SS009
- GSM7034823 SS010
- GSM7034824 SS011
- GSM7034825 SS012
- GSM7034826 SS013
- GSM7034827 SS014
- GSM7034828 SS015
- GSM7034829 SS016
- GSM7034830 SS017
- GSM7034831 SS018
- GSM7034832 SS019
- GSM7034833 SS020
- GSM7034834 SS021
- GSM7034835 SS022
- GSM7034836 SS023
- GSM7034837 SS024
- GSM7034838 SS025
- GSM7034839 SS026
- GSM7034840 SS027
- GSM7034841 SS028
- GSM7034842 SS029
- GSM7034843 SS030
- GSM7034844 SS031
- GSM7034845 SS032
- GSE215274 Identification of Whole Blood Gene Expression Signature to Predict the Therapeutic Effect of Nintedanib in Idiopathic Pulmonary Fibrosis 177 samples shares signature, blood
- GSE277709 Whole blood transcriptome profile identifies motor neurone disease (MND) RNA biomarker signatures 84 samples shares signature, blood
- GSE291471 Integrative blood profiling uncovers inflammatory network signatures in high-altitude pulmonary edema 83 samples shares signature, blood
- GSE288704 Whole transcriptome analysis of unmutated sporadic ALS patients’ peripheral blood reveals phenotype-specific gene expression signature 66 samples shares signature, blood
- GSE319562 Prognostic accuracy of a peripheral blood transcriptome signature in chronic hypersensitivity pneumonitis 37 samples shares signature, blood
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples shares signature, rate
- GSE312011 A transcriptomic signature that predicts pre-hypertension in adolescence and higher systolic blood pressure in childhood 31 samples shares signature, blood
- GSE282384 Substrate Stiffness Dictates Unique Doxorubicin-induced Senescence-associated Secretory Phenotypes and Transcriptomic Signatures in Human Pulmonary Fibroblasts 12 samples shares signature, rate
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.