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CRTC2 Forms Co-condensates with YTHDF2 that Enhance Translational Efficiency of m6A-Modified mRNAs to Drive Hepatocarcinogenesis and Lenvatinib Resistance (RNA-seq)

GSE289166 Homo sapiens (human) RNA-seq (gene expression) 3 samples Submitted 2025/02/10 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 3 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
Hepatocellular carcinomaThis series is part of our curated briefing on it.
Samples
3 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.
Summary (written by the submitters)
As the third most common cause of cancer-related mortality, hepatocellular carcinoma (HCC) is a global health concern. Despite its prevalence, treatment options are limited, underscoring the need to identify potential therapeutic targets and strategies. Here, we identified amplification of CRTC2, situated in the 1q21.3 region, due to copy number alterations in HCC.
Read the full summary ↓
In a cohort of patients with HCC, CRTC2 protein levels were frequently elevated and correlated with poor prognosis. Genetic depletion of CRTC2 significantly impeded the onset and progression of HCC in mouse models. CRTC2 formed cytoplasmic condensates that recruited the m6A reader YTHDF2. Furthermore, CRTC2 promoted the translocation of m6A-modified mRNAs from decay sites to polyribosomes by interacting with PABP1. The activities of CRTC2 counteracted YTHDF2-mediated mRNA degradation to enhance the translational efficiency of specific mRNAs, including those encoding LRP5 and c-Jun. Targeting CRTC2 in hepatocytes using AAV8.sgCRTC2 elicited substantial therapeutic benefits in HCC mouse model and significantly enhanced the sensitivity to lenvatinib. Together, this research elucidates the pivotal role and underlying molecular mechanisms of CRTC2 in hepatocarcinogenesis and lenvatinib-resistance, highlighting its potential clinical and therapeutic applications.
This dataset
Open GSE289166 in finder → Find more human RNA-seq datasets → Hepatocellular carcinoma 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 GSE289166_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 PRJNA1221846 and SRA study SRP563011. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Samples in this study

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