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Tanshinone IIA inhibits heat-induced growth of p53-mutant Huh-7 hepatocellular carcinoma by modulating osmotic homeostasis and glycolysis through targeting ALDH7A1

GSE309428 Homo sapiens (human) RNA-seq (gene expression) 36 samples Submitted 2025/10/03 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 36 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
36 samples: 12 conditions, mostly in triplicateGroups 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
Tanshinone IIA inhibits heat-induced growth of p53-mutant Huh-7 hepatocellular carcinoma by modulating osmotic homeostasis and glycolysis through targeting ALDH7A1Cell death discovery · 2025
Summary (written by the submitters)
Thermal ablation offers minimally invasive treatment options for hepatocellular carcinoma (HCC) therapy. However, local recurrence due to sublethal temperatures enhances tumor cell survival. This study aims to investigate the tumor-promoting effects of hyperthermia on HCC cells, the role of tanshinone IIA (Tan IIA) in mitigating these effects, and the underlying mechanisms involved.
Read the full summary ↓
We observed that temperature at 44 °C increased the aggressiveness of HCC cells, and Tan IIA inhibited cell viability and cell invasion, and induced cell cycle arrest and apoptosis of heat-pretreated HCC cells. ALDH7A1 was identified as a target of Tan IIA, and its altered expression resulted in dysregulation of cell viability, invasion, apoptosis, ATP production, glycolysis, osmolyte levels, and reactive oxygen species (ROS). Under hyperosmotic conditions, ALDH7A1 knockdown sensitized heated Huh-7 cells, while its overexpression promoted cell survival and invasion, with corresponding changes in energy metabolism and enzymatic products. Tan IIA and the specific ALDH7A1 inhibitor, 4-diethylaminobenzaldehyde, demonstrated similar effects on gene expression patterns, glycolysis, osmotic regulation, and ROS levels in heated Huh-7 cells. Moreover, Tan IIA is able to direct interact with ALDH7A1 protein. In vitro, Tan IIA combined with hyperosmotic stress significantly inhibited cell invasion and induced apoptosis in heat-induced Huh-7 cells and ALDH7A1 overexpression partially reversed the effects of Tan IIA. In vivo, Tan IIA combined with hyperosmotic stress or glycolysis inhibitor yielded better therapeutic efficacy for HCC. In conclusion, Tan IIA sensitizes HCC cells to sublethal heat by targeting ALDH7A1, leading to disrupted glycolytic and osmolytic balance, subsequently hindering tumor cell survival and increasing apoptosis. These findings highlight a potentially novel strategy for preventing or treating recurrent HCC post-thermal ablation using Tan IIA with hyperosmotic reagents.
Published in
Tanshinone IIA inhibits heat-induced growth of p53-mutant Huh-7 hepatocellular carcinoma by modulating osmotic homeostasis and glycolysis through targeting ALDH7A1
Li H, Ju S, Wang J et al. · Cell death discovery 2025 · PMID 41173836 · doi:10.1038/s41420-025-02795-0
This dataset
Open GSE309428 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 GSE309428_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 PRJNA1336064 and SRA study SRP629458. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41173836) ↗
Study design
12 conditions, mostly in triplicate
Hep-G2_NC ×3 Hep-G2_Heated ×3 Hep-G2_Tan_IIA ×3 Hep-G2-Heated+Tan_IIA ×3 Huh-7_NC ×3 Huh-7_Heated ×3 Huh-7_Drug ×3 Huh-7-Heated+Tan_IIA ×3 +4 more

Supports a between-group comparison across 36 samples.

How we read this: 12 replicated groups read from 36 sample titles; they account for 36 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 Hepatocellular carcinoma datasets

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