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Human Blood Exposure to Neutron Radiation at Two Irradiation Facilities

GSE308422 Homo sapiens (human) RNA-seq (gene expression) 120 samples Submitted 2026/07/20 Platform GPL15433
At a glance

RNA-seq (gene expression) · human · 120 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
120 samples: 120 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
Gene expression as a biological dosimeter: effects of different neutron energiesRadiation and environmental biophysics · 2026
Summary (written by the submitters)
Human blood from 12 donors was exposed to increasing doses of neutron radiation at two sites: the Rhode Island Nuclear Science Center (RINSC), and the Radiological Research Accelerator Facility (RARAF) at Columbia University. The exposure at the Rhode Island Nuclear Science Center was largely thermal neutrons, and the exposure at the Radiological Research Accelerator Facility was largely fast neutrons. Samples were measured for RNASeq differential expression.
Published in
Gene expression as a biological dosimeter: effects of different neutron energies
Basavaraj R, Vanasse A, Broustas CG et al. · Radiation and environmental biophysics 2026 · PMID 42440102 · doi:10.1007/s00411-026-01237-4
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE308422_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA1330394 and SRA study SRP621440. Searching any of these in the dataset finder brings you back here.

Study design
120 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 120 sample titles: 120 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.

Samples in this study

+ 80 more — browse all 120 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.