Time-course Transcriptomic Dataset of Gallic Acid-induced Human Cervical Carcinoma HeLa Cell Death

Abstract

Gallic acid is a natural phenolic acid that displays potent anti-cancer activity in clinically relevant cell culture and rodent models. Although research has focused on determining the efficacy of gallic acid against various types of human cancer cells, the molecular mechanisms governing the anti-cancer properties of gallic acid remains largely unclear, and a transcriptomic study of gallic acid-induced cancer cell death has rarely been reported. Therefore, we performed time-course bulk RNA-sequencing study to elucidate the molecular signature of gallic acid-induced cell death in human cervical cancer HeLa cells, as this is a widely used in vitro model in the field. Our RNA-sequencing dataset covers the early (2nd hour), middle (4th, 6th hour), and late (9th hour) stages of the cell death process after exposure of HeLa cells to gallic acid, and the untreated (0th hour) cells served as controls. Differential expression of messenger RNAs (mRNA) and long non-coding RNAs (lncRNA) were identified in each time point in the dataset. In summary, this dataset is a unique and valuable resource with which the scientific community can explore the molecular mechanisms and identify key regulators of the gallic acid-induced cancer cell death process.