BMC Research Notes (Sep 2024)

Proteomics of Ishikawa endometrial cancer cells: impact of liposomal backbone

  • Shabnam Fayezi,
  • Amina Jasarevic,
  • Thomas Strowitzki,
  • Ariane Germeyer

DOI
https://doi.org/10.1186/s13104-024-06885-7
Journal volume & issue
Vol. 17, no. 1
pp. 1 – 4

Abstract

Read online

Abstract Objectives The Ishikawa cell line is the most widely used model system for investigating implantation and endometrial cancer. Understanding the biology of this cell line is essential for developing effective interventional strategies. To gain a deeper understanding of its cellular protein profile, we extracted cellular proteins from Ishikawa cells and analyzed the peptides using mass spectrometry. Our goal was to create a proteomic resource specifically tailored for Ishikawa cells. This data set is of particular significance in the realm of targeted drug delivery. Liposomes are synthetic spherical vesicles composed of hydrophobic bilayer phospholipids and have received immense recognition as highly effective carriers for the delivery of pharmaceutical drugs and essential nutrients to the endometrium. Phosphatidylcholine and phosphatidylethanolamine are often combined to create functional liposomal systems. To discern any potential interfering effects originating from the liposome backbone, our investigation involved direct effects of phospholipid liposomes on endometrial epithelial cells. Data description The data set includes peptide spectra derived from the intracellular proteomes of Ishikawa endometrial cancer cell isolates and their phospholipid-treated counterparts. Representing a proteome-wide profile, this dataset aims to contribute to a broader understanding of the physiology of endometrial epithelial cells. Proteomic analysis identified key proteins involved in the intricate regulation of cellular metabolism, cell cycle progression, and signaling. Between-group analysis revealed no differentially expressed proteins after adjusting for multiple testing using the applied thresholds (p-value 1). Data are available via ProteomeXchange with identifier PXD050871.

Keywords