bioRxivCancer BiologyPreprint
Deciphering the Effect of Melittin on Murine Cervical Cancer Cells Based on Transcriptomic Investigation
Jianrong JiangiD, Yuwei Zhang, Mengyi Wang, Ronghua ZhangiD, Yueliang LiiD, Jianfeng Qiu, Dafu CheniD, Tizhen YaniD, Rui Guo, Liu Yanhui
Abstract
Melittin, a highly active natural antimicrobial peptide derived from honeybee venom, holds immense pharmacological potential against solid tumors. However, its specific anti-tumor efficacy and transcriptomic dynamics in cervical carcinoma remain to be systematically characterized. This study evaluated the anti-cancer properties of melittin on murine U14 cervical cancer cells following by transcriptomic investigation of the underlying mechanism. Phenotypic evaluations revealed that melittin potently inhibited U14 cell viability, while wound healing assays demonstrated a profound, dose-dependent suppression of cellular migration, culminating in near-complete migratory arrest at high concentrations. Furthermore, flow cytometry quantified a dramatic, dose-dependent surge predominantly in late apoptotic cell populations. These apoptotic events were structurally corroborated by scanning electron microscopy (SEM), which revealed severe plasma membrane perforation and morphological exhaustion. Enrichment analyses indicated that the physical membrane disruption inflicted by melittin translated into a severe metabolic crisis, marked by a global suppression of ribosomal biogenesis and mitochondrial oxidative phosphorylation. Furthermore, melittin profoundly repressed the Tie2-mediated angiogenic pathway (Etv2 down-regulation) while triggering the lethal hyperactivation of the AP-1 transcriptional stress complex (Jun, Fos, Fosb). Collectively, these findings elucidate the pharmacological networks underlying melittins cytotoxicity, providing solid molecular evidence for its development as a natural therapeutic agent against cervical cancer.
- organism: mouse
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell-cell communication
- approach: experimental assay
- approach: statistical model
- Citations
- 0
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