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RNF26 promote the proliferation and metastasis of colorectal cancer cells via Wnt pathway

GSE280645 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/04/30 Platform GPL34284
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: 3 × HCT116_con vs 3 × HCT116_ov_RNF26 vs 3 × HCT15_con vs 3 × HCT15_ov_RNF26Groups 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)
Colorectal cancer (CRC) is the third most common malignant tumor in the world. Identification of key genes for prediction and treatment of disease course and prognosis is urgent to reduce morbidity and mortality of CRC patients. Although dysregulated Ring finger protein 26 (RNF26) expression has been detected in several tumors, the potential regulatory effect of RNF26 on CRC remains uncertain.
Read the full summary ↓
Here we evaluated the expression of CRC using multiple online platforms, and demonstrated that RNF26 upregulation was consistently observed in CRC relative to normal tissues and correlated with unfavorable prognosis. Then, we provide direct evidence that RNF26 acts as a driver of CRC progression by showing that constructed overexpression cell lines. We analyzed the impact of altering RNF26 level on CRC cell viability and metastasis phenotypes in HCT116 and HCT15 modified cell lines. The results showed that RNF26 overexpression promote cell proliferation, migration, and invasion in vitro, and multiple organ distant metastasis in vivo. Moreover, Wnt signaling pathway was common enriched in these modified cell lines. Therefore, we assumed that RNF26 significantly increased CRC proliferation and metastasis through the RNF26/Wnt axis. These data strongly suggest that RNF26 overexpression may be an effective biomarker to monitor and a prospective therapeutic target to treat CRC.
This dataset
Open GSE280645 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 GSE280645_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 PRJNA1179877 and SRA study SRP541991. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × HCT116_con vs 3 × HCT116_ov_RNF26 vs 3 × HCT15_con vs 3 × HCT15_ov_RNF26

Supports a between-group comparison across 12 samples.

How we read this: 4 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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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.