← BioTransfer GEO Dataset Finder
GEO series

RNA sequencing of A549 lung cancer cells treated with a copper(I) bisphosphine complex (Complex 1)

GSE329396 Homo sapiens Expression profiling by high throughput sequencing 4 samples Submitted 2026/05/14 Platform GPL24676
Summary
Copper-based complexes are emerging as promising anticancer agents, yet their mechanisms of action remain incompletely understood. In this study, we evaluated a series of novel bisphosphine copper(I) thiocarbamide complexes and identified Complex 1, a bis(triphenylphosphine) copper(I) iodide complex bearing a thiocarbamide ligand, as exhibiting selective cytotoxicity toward lung cancer cells with reduced toxicity in normal fibroblasts. To elucidate its mechanism of action, whole transcriptome profiling was conducted on A549 cells following treatment with Complex 1. Cells were treated with 5 µM Complex 1 or vehicle control (DMSO) for 72 hours prior to RNA extraction. Differential gene expression analysis revealed modulation of pathways associated with p53 signalling, NF-κB signalling, and cell cycle regulation. These findings were supported by functional assays showing G2/M cell cycle arrest, indicating disruption of cell cycle progression as a primary mode of action, with apoptosis contributing to a lesser extent. Overall, this study demonstrates that novel bisphosphine copper(I) thiocarbamide complexes can exert selective anticancer activity and provides mechanistic insight into their effects on cancer-associated signalling networks, supporting their further development as therapeutic candidates.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE329396_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1458791 and SRA study SRP695715. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 4 more — browse all 4 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

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.