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Multi-omics analyses integration reveals a novel TRF2-miR-181a-5p-S100A10 regulatory axis in colon cancer [ChIP-seq]

GSE282028 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 2 samples Submitted 2025/12/02 Platform GPL18573
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 2 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
2 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.
Paper
Multi-omics analyses integration reveals a novel TRF2-miR-181a-5p-S100A10 regulatory axis in colon cancerCellular & molecular biology letters · 2025
Summary (written by the submitters)
The Telomeric repeat-binding factor 2 (TRF2) binds to TTAGGG repeats located at chromosomes ends and ensures telomere protection together with the other members of shelterin. In addition to its well-known role in telomere maintenance, TRF2 can also bind to interstitial telomeric sequences (ITS) and regulate the expression of specific genes with a consequent impact on tumor formation and progression.
Read the full summary ↓
However, a comprehensive analysis of the impact of TRF2 on global gene expression of human cancer cells is still missing and underlying mechanisms of TRF2-mediated gene expression regulation remain to be further elucidated. Here, by performing RNA sequencing analysis, we found that TRF2 alters the expression of 717 genes involved in various cancer-related pathways. Unexpectedly, Chromatin immunoprecipitation sequencing analysis revealed, that just a small portion of Differentially Regulated genes (DEGs) are directly bound by TRF2, suggesting the existence of alternative mechanisms of TRF2-mediated gene regulation. In particular, we found that TRF2 binds to various non-coding RNA (ncRNAs) regions, including miRNA host genes. Moreover, interactomic analysis unveiled that RNA binding proteins are well represented among TRF2 interactors, supporting the involvement of TRF2 in ncRNAs-mediated mechanisms. Through the intersection of omics-analyses, we provided here experimental evidence of a multilayered mechanism of regulation where TRF2, interacting with TATA-box binding protein associated factor 15 (TAF15), regulates miR181A1 host gene and mature miR-181a-5p expression, which in turn targets S100A10, a known plasma membrane with oncogenic role. Our work shows, for the first time, a broad overview on the extratelomeric role of TRF2 in human cancer revealing, at the same time, a new axis through which TRF2 contributes to cancer progression.
Published in
Multi-omics analyses integration reveals a novel TRF2-miR-181a-5p-S100A10 regulatory axis in colon cancer
Dinami R, Petti E, Ostano P et al. · Cellular & molecular biology letters 2025 · PMID 41116155 · doi:10.1186/s11658-025-00813-8
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 GSE282028_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 PRJNA1186684 and SRA study SRP545482. Searching any of these in the dataset finder brings you back here.

Samples in this study

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Datasets on a similar topic

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