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Epigenetic memory of radiotherapy in dermal fibroblasts impairs wound repair capacity in cancer survivors (ATAC-Seq)

GSE254753 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 45 samples Submitted 2024/08/02 Platform GPL34284Platform GPL24676Platform GPL34290
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 45 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Samples
45 samples: 10 conditions, mostly in triplicateGroups 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
Epigenetic memory of radiotherapy in dermal fibroblasts impairs wound repair capacity in cancer survivorsNature communications · 2024
Summary (written by the submitters)
Long-term toxicities caused by cancer treatments have recently gained increasing recognition due to a steadily growing population of cancer survivors. Radiotherapy (RT) is a common treatment known to unintentionally harm surrounding normal tissues including the skin, hindering wound healing even years after treatment. Our study aimed to elucidate the underlying mechanisms of these late-onset adverse effects caused by RT.
Read the full summary ↓
By comparing paired skin biopsies from previously irradiated (RT+) and non-irradiated (RT-) sites in breast cancer survivors who underwent RT years ago, we discovered compromised wound healing capacity and impaired fibroblast functions in the RT+ skin. By employing ATAC-seq, we identified altered chromatin landscapes in RT+ fibroblasts, pinpointing THBS1 as a crucial epigenetically primed wound repair-related gene. Further confirmation of THBS1's significance during wound repair came from single-cell RNA-sequencing and spatial transcriptomic analysis of human wounds. Remarkably, heightened and sustained THBS1 expression was observed in RT+ fibroblasts in both mouse and human radiation wound models, leading to impaired fibroblast motility and contractility. Encouragingly, our study found that treatment with anti-THBS1 antibodies promoted ex vivo wound closure in RT+ skin from breast cancer survivors. These findings indicate that dermal fibroblasts retain a long-term radiation memory recorded in the form of epigenetic changes. Targeting this maladaptive epigenetic memory shows promise for mitigating the late-onset adverse effects caused by RT, offering potential solutions to improve the quality of life for cancer survivors.
Published in
Epigenetic memory of radiotherapy in dermal fibroblasts impairs wound repair capacity in cancer survivors
Bian X, Piipponen M, Liu Z et al. · Nature communications 2024 · PMID 39468077 · doi:10.1038/s41467-024-53295-1
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 GSE254753_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1071623 and SRA study SRP487188. Searching any of these in the dataset finder brings you back here.

Study design
10 conditions, mostly in triplicate
Bulk ATAC-seq Ctr_D14 ×3 Bulk ATAC-seq IR_D14 ×3 Bulk ATAC-seq IR dermal fibroblasts D1 ×3 Bulk ATAC-seq Ctr dermal cell ×3 Bulk ATAC-seq IR dermal cell D7 ×3 Bulk ATAC-seq Ctr_D1 ×2 Bulk ATAC-seq IR_D1 ×2 Bulk ATAC-seq Ctr_D7 ×2 +22 more

Supports a between-group comparison across 25 samples.

How we read this: 10 replicated groups read from 45 sample titles; they account for 25 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

+ 5 more — browse all 45 samples with per-sample file links →

Datasets on a similar topic

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