← BioTransfer GEO Dataset Finder
GEO series

XRCC1 Deficiency Drives Telomeric Chromatin Leakage, Inflammatory signaling and Senescence in Cancer Cells

GSE301192 Homo sapiens (human) RNA-seq (gene expression) 9 samples Submitted 2026/07/08 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 9 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
9 samples: 3 × MCF10A, Control-KO, vs 3 × MCF10A, APE1-KO, vs 3 × MCF10A, XRCC1-KO,Groups 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
XRCC1 deficiency drives telomeric chromatin leakage, inflammatory signalling and senescenceRedox biology · 2026
Summary (written by the submitters)
Genome integrity is constantly challenged by oxidative DNA damage, which, if left unrepaired, can result in replication stress, chromosomal instability, and tumorigenesis. The base excision repair (BER) pathway is essential for resolving oxidative base lesions such as 8-oxo-7,8-dihydro-2′-deoxyguanosine (8-oxodG). Among BER factors, APE1 and XRCC1 play critical roles not only in lesion repair but also in maintaining replication fork stability.
Read the full summary ↓
Here, we investigate the cellular consequences of APE1 and XRCC1 deficiency in isogenic breast epithelial models (MCF10A and MCF7), under basal and oxidative stress conditions. We show that XRCC1 deficiency, more than APE1 depletion, leads to accumulation of unrepaired BER intermediates, increased DNA damage signaling, and formation of cytoplasmic chromatin fragments (CCFs) containing telomeric DNA. XRCC1-deficient cells also exhibit activation of the cGAS-STING pathway, inflammatory signaling, and features of senescence. Our findings identify XRCC1 as a central suppressor of oxidative stress-induced chromatin instability, cytosolic DNA accumulation, and immune signaling. These results suggest that targeting BER in carcer, particularly XRCC1, may offer a therapeutic avenue to trigger tumor-selective senescence and promote anti-tumor immunity.
Published in
XRCC1 deficiency drives telomeric chromatin leakage, inflammatory signalling and senescence
Piscone A, Gorini F, Ambrosio S et al. · Redox biology 2026 · PMID 42322953 · doi:10.1016/j.redox.2026.104267
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 GSE301192_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 PRJNA1284243 and SRA study SRP596225. Searching any of these in the dataset finder brings you back here.

Study design
3 × MCF10A, Control-KO, vs 3 × MCF10A, APE1-KO, vs 3 × MCF10A, XRCC1-KO,

Supports a between-group comparison across 9 samples.

How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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
Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

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.