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MiR-424-5p Acts as an Oncogene in Hep3B Cells by Activating the PI3K/AKT Signaling Pathway

GSE316568 Homo sapiens (human) Non-coding RNA profiling 12 samples Submitted 2026/01/21 Platform GPL24676
At a glance

Non-coding RNA profiling · human · 12 samples

What it is
Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism
Homo sapiens (human)
Topic
Hepatocellular carcinomaThis series is part of our curated briefing on it.
Samples
12 samples: 12 samples, each with a distinct title — no replicated groupsGroups 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)
Hepatocellular carcinoma (HCC) remains a global health challenge with high morbidity and mortality. MicroRNAs (miRNAs) play pivotal roles in cancer progression, yet their context-dependent functions in HBV-HCC are unclear. This study demonstrates that miR-424-5p is significantly upregulated in HBV positive Hep3B cells, correlating with poor patient prognosis.
Read the full summary ↓
Integrated bioinformatic analysis predicted that the target genes of miR-424-5p are significantly enriched in the PI3K/AKT signaling pathway. Functional experiments showed that knockdown of miR-424-5p suppressed cell proliferation, migration, and colony formation. Mechanistically, miR-424-5p knockdown led to the upregulation of PTEN and downregulation of phosphorylated PI3K/AKT, indicating inhibition of this pathway. These findings unveil an oncogenic role of miR-424-5p in HBV-HCC, suggesting its function is driven by viral specific dysregulation of the PI3K/AKT pathway, with PTEN involvement. Our study highlights miR-424-5p as a potential therapeutic target and provides insights into etiology-specific miRNA regulatory networks.
This dataset
Open GSE316568 in finder → Find more human 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 GSE316568_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 ↗

Also filed as BioProject PRJNA1403408 and SRA study SRP662732. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
12 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. 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 Hepatocellular carcinoma 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.