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Unveiling the DNA repair landscape by unlocking the potential of cryopreserved PBMCs with optimal processing

GSE312801 Homo sapiens (human) RNA-seq (gene expression) 88 samples Submitted 2026/06/01 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 88 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
88 samples: 8 conditions, mostly with about 11 replicates eachGroups 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.
Summary (written by the submitters)
In the field of DNA repair, cryopreserved peripheral blood mononuclear cells (PBMCs) are a feasible model for large-scale human biomonitoring studies. However, the optimal processing of cryopreserved PBMCs to accurately represent real-time and reproducible DNA repair capacity (DRC) for an individual remains uncertain. The literature is inconclusive regarding the preservation of DRC among PBMC subpopulations or whether a particular cell type is a better representative of DRC.
Read the full summary ↓
Additionally, it is unknown whether an individual’s DRC remains stable over time. This paper utilizes a functional-based Fluorescent Multiplex Host Cell Reactivation assay to evaluate DRC by measuring repair capability of intact PBMCs for various DNA lesions. The results demonstrate significant differences in DRC among PBMC subtypes during resting and stimulated stages, with T cells dominating most of the data obtained from PBMCs in all functional assays examined. The stability of DRC within individuals is maintained for major DNA repair pathways across repeated measurements. Furthermore, the rank order of individual DRC is preserved by transfecting cryopreserved resting human PBMCs. These findings have the potential to revolutionize approaches for handling cryopreserved PBMCs in the field of DNA repair for human bio-monitoring purposes.
This dataset
Open GSE312801 in finder → Find more human RNA-seq datasets →
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.

Series matrix ↓
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 GSE312801_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1377435. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
8 conditions, mostly with about 11 replicates each
B cells, resting state, person ×11 B cells, proliferative state, person ×11 Monocytes, resting state, person ×11 NK cells, resting state, person ×11 Bulk PBMCs, resting state, person ×11 Bulk PBMCs, proliferative state, person ×11 T cells, resting state, person ×11 T cells, proliferative state, person ×11

Supports a between-group comparison across 88 samples.

How we read this: 8 replicated groups read from 88 sample titles; they account for 88 of them. 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

+ 48 more — browse all 88 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.