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Artificial plasma membrane models based on lipidomic profiling.

Donia Essaid1, Véronique Rosilio2, Katia Daghildjian2

  • 1Institut Galien Paris Sud, UMR 8612, Univ Paris-Sud, CNRS, Université Paris-Saclay, 5 rue J.B. Clément, F-92290 Châtenay-Malabry, France; Lip(Sys)(2), Chimie Analytique Pharmaceutique (FKA EA4041 Groupe de Chimie Analytique de Paris-Sud), Univ Paris-Sud, Université Paris-Saclay, F-92290 Châtenay-Malabry, France.

Biochimica Et Biophysica Acta
|July 27, 2016
PubMed
Summary

This study analyzed cell membrane lipids to create more accurate artificial lipid monolayers for drug interaction studies. Mimicking complex cell membranes improves drug-lipid interaction models beyond simple phospholipids.

Keywords:
ARPE-19High resolution mass spectrometryLipid monolayerLipidomicsRetinoblastomaY79

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Area of Science:

  • Biochemistry
  • Cell Biology
  • Pharmacology

Background:

  • Phospholipid monolayers are common models for drug-lipid interactions.
  • Existing models often use simplified lipid compositions, like single phosphatidylcholine.
  • Surface pressure of 30mN/m is typically used, assuming bilayer equivalence.

Purpose of the Study:

  • To characterize the lipidome of retinoblastoma (Y79) and retinal pigment epithelium (ARPE-19) cells.
  • To construct an artificial lipid monolayer that better mimics the Y79 cell plasma membrane composition.
  • To compare the properties of artificial monolayers with actual cell lipid extracts.

Main Methods:

  • Lipid extraction from Y79 and ARPE-19 cell membranes.
  • Lipid identification and quantification using liquid chromatography coupled to high-resolution mass spectrometry (LC-MS/MS).
  • Construction and analysis of artificial lipid monolayers based on identified lipid compositions.

Main Results:

  • Detailed lipidome profiles of plasma and mitochondrial membranes were obtained.
  • Artificial monolayers mimicking Y79 plasma membrane composition showed different isotherms compared to single phospholipid models.
  • The complexity of cell lipid extracts resulted in distinct monolayer properties.

Conclusions:

  • Artificial lipid monolayers built from complex lipidomic data offer a more realistic model for drug-lipid interactions.
  • The proposed model monolayer, based on abundant extracted species, approximates the surface compressional modulus of cell lipid extracts.
  • This approach enhances the predictive power of membrane models in drug discovery.