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lncSLERT promotes liver metastasis in colorectal cancer by down-regulating HUNK expression via RBM15-mediated m6A modification

GSE284657 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/01/01 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: 3 × HCT116NC vs 3 × HCT116OE vs 3 × LoVoNC vs 3 × LoVoSHGroups 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
lncSLERT Promotes Liver Metastasis in Colorectal Cancer by Down-Regulating HUNK Expression via RBM15-Mediated m6A ModificationOncoTargets and therapy · 2025
Summary (written by the submitters)
Metastasis constitutes a hallmark of cancer and serves as the principal cause of cancer-related mortality. Nevertheless, the mechanism of liver metastasis in CRC remains incompletely clarified. This study investigates the long non-coding RNA (lncRNA) SLERT and its critical role in promoting liver metastasis of colorectal cancer (CRC) by downregulating HUNK expression.
Read the full summary ↓
We found that SLERT was significantly upregulated in CRC tissues, correlating with poorer survival outcomes. Functional assays revealed that silencing SLERT inhibited CRC cell migration and invasion, while its overexpression promoted these metastatic behaviors. Mechanistic analysis showed that SLERT interacts with the RNA-binding protein RBM15, impairing its ability to stabilize HUNK mRNA, leading to decreased HUNK levels and increased metastatic potential. The cytoplasmic localization of SLERT indicates its active role in regulating gene expression within the tumor microenvironment. Collectively, these results suggest that SLERT serves as a potential diagnostic biomarker and therapeutic target, indicating that targeting SLERT or restoring HUNK expression could provide novel strategies to combat liver metastasis in CRC and improve patient prognosis.
Published in
lncSLERT Promotes Liver Metastasis in Colorectal Cancer by Down-Regulating HUNK Expression via RBM15-Mediated m6A Modification
Wang L, Zhao L, Liu J et al. · OncoTargets and therapy 2025 · PMID 40371234 · doi:10.2147/OTT.S514001
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 GSE284657_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 PRJNA1200007 and SRA study SRP552493. Searching any of these in the dataset finder brings you back here.

Study design
3 × HCT116NC vs 3 × HCT116OE vs 3 × LoVoNC vs 3 × LoVoSH

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.