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Exploring the potential mechanism of artesunate in intervening with glioma cells with distinct therapeutic effects on the basis of transcriptome sequencing and network pharmacology

GSE217531 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/11/08 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)
Samples
12 samples: 3 × U251 vs 3 × U251-ART vs 3 × U87 vs 3 × U87-ARTGroups 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)
Artesunate possesses the potential of intervening with glioma, however, its pharmacological mechanisms remain unclarified. In this research, we aim to explore the regulatory mechanism of artesunate acting on glioma through constructing the interaction network of therapeutic effects-related genes of artesunate based on transcriptome sequencing data of glioma cells, and then verified by apoptosis staining and molecular docking at cellular level.
Read the full summary ↓
In vitro cell activity and proliferation assay of two human glioma cell lines indicated that artesunate exerted more obvious inhibitory effects on the cell activity and proliferation of U87 cells than that of U251 cells. It could significantly promote apoptosis in U87 cells (P<0.01), while not in U251 cells (P>0.05), detected by using Hoechst and TUNEL cell apoptosis staining. Further, the differential expression gene sets between artesunate-sensitive and non-sensitive cell line, as well the therapeutic effects-related genes of artesunate were obtained, respectively, by transcriptome sequencing and differential data analysis using the lysis buffer of U87 and U251 cells before and after artesunate treatment. Then, key putative targets that related to therapeutic effects were screened by constructing the interaction network of differential genes of three above comparison groups, and calculating their topological characteristics. Pathway enrichment analysis showed that those key putative targets were significantly enriched in several signaling pathways that were closely associated with the main pathological changes of glioma, among which ATF4-DDIT3-PARP1 signaling axis, that was related with cell apoptosis, was the most enriched in. Molecular docking indicated that artesunate had fine binding affinities with ATF4 and DDIT3. Above all, this study preliminarily revealed that artesunate may induce the apoptosis and inhibited cell proliferation of glioma cells through regulating the abnormal alterations of corresponding proteins in ATF4-DDIT3-PARP1 signaling axis, which provided the novel scientific basis for its potential application in treating glioma.
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 GSE217531_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 PRJNA899484 and SRA study SRP406839. Searching any of these in the dataset finder brings you back here.

Study design
3 × U251 vs 3 × U251-ART vs 3 × U87 vs 3 × U87-ART

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
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