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YTHDC1 affects the ubiquitination level of RAD51 by negatively regulating UBE3A expression and inhibits colorectal cancer cells apoptosis

GSE245860 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2024/12/06 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 12 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)
Topic
Colorectal cancerThis series is part of our curated briefing on it.
Samples
12 samples: 6 conditions, mostly in duplicateGroups 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
YTHDC1 negatively regulates UBE3A to influence RAD51 ubiquitination and inhibit apoptosis in colorectal cancer cellsScientific reports · 2025
Summary (written by the submitters)
Understanding the role of YTHDC1 in colorectal cancer development and DNA damage repair is crucial for advancing treatment strategies. In our study, we found that YTHDC1 is expressed at significantly higher levels in high-malignancy tissues compared to low-malignancy tissues. Silencing YTHDC1 effectively inhibits the proliferation of colorectal cancer cell lines and significantly increases cell apoptosis.
Read the full summary ↓
We identified RAD51 as a key downstream target of YTHDC1. Knockdown of YTHDC1 reduced RAD51 protein levels, while silencing RAD51 also inhibited cancer cell proliferation. Interestingly, RNA sequencing indicated that YTHDC1 deletion did not affect RAD51 transcription but increased its ubiquitination through WB experiment. Our analysis revealed that reducing YTHDC1 raised E3 ligase UBE3A levels, which is involved in RAD51 ubiquitination and ubiquitination experiments confirmed that RAD51 is one of the ubiquitination substrates of UBE3A. Co-immunoprecipitation experiments confirmed interactions among YTHDC1, UBE3A, and RAD51, suggesting they form a complex that regulates homologous repair processes. Our study provides new insights into how YTHDC1 modulates RAD51 ubiquitin levels through post-translational modifications, offering valuable information for developing effective colorectal cancer therapies.
Published in
YTHDC1 negatively regulates UBE3A to influence RAD51 ubiquitination and inhibit apoptosis in colorectal cancer cells
Gao M, Wu Y, Zhang L et al. · Scientific reports 2025 · PMID 40087295 · doi:10.1038/s41598-025-92925-6
This dataset
Open GSE245860 in finder → Find more human RNA-seq datasets → Colorectal cancer landscape →
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 GSE245860_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 PRJNA1030288 and SRA study SRP467507. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40087295) ↗
Study design
6 conditions, mostly in duplicate
HCT116 cells, siNC, ×2 HCT116 cells, siYTHDC1_2, ×2 HCT116 cells, siYTHDC1_3, ×2 SW480 cells, siNC, ×2 SW480 cells, siYTHDC1_2, ×2 SW480 cells, siYTHDC1_3, ×2

Supports a between-group comparison across 12 samples.

How we read this: 6 replicated groups read from 12 sample titles; they account for 12 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
More Colorectal cancer datasets

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