Skip to main navigation Skip to search Skip to main content

Efficiently Detecting Metallodrug-Protein Adducts: Ion Trap versus Time-of-Flight Mass Analyzers

  • Samuel M. Meier
  • , Maria V. Babak
  • , Bernhard K. Keppler
  • , Christian G. Hartinger*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Modern mass spectrometry techniques have increasingly found use in studies on the binding of anticancer metallodrugs to potential cellular targets. In this context, investigations on the detection efficiency of adduct formation between antiproliferative Ru(arene) complexes and proteins in dependence of the mass analyzer used in the electrospray ionization (ESI) mass spectrometer are presented. The potential in detecting adducts between the metal center and the protein was found to be dependent on the mass analyzer and the denticity of the metal-protein interaction. This might be related to the design of the mass analyzers with different conditions in the ion travelling pathways, which affects adducts when the protein acts as a monodentate ligand more highly than in cases when the protein is a multidentate ligand. This could also impact the biological activity and indicate different pathways of metabolism of biomolecule adducts. Weighing the alternatives: Mass spectrometry is increasingly employed for metallodrug-protein binding studies. However, a methodical investigation on mass analyzers and especially their influence on the efficiency of adduct detection has not been carried out so far. We show that mass analyzers can exhibit pronounced differences on adduct detection efficiencies, influencing investigations on potential cellular targets and for the screening of metallodrugs. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Original languageEnglish
Pages (from-to)1351-1355
JournalChemMedChem
Volume9
Issue number7
Online published18 Mar 2014
DOIs
Publication statusPublished - Jul 2014
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Research Keywords

  • detection efficiency
  • ion trap
  • mass spectrometry
  • metallodrugs
  • ruthenium
  • time-of-flight

Fingerprint

Dive into the research topics of 'Efficiently Detecting Metallodrug-Protein Adducts: Ion Trap versus Time-of-Flight Mass Analyzers'. Together they form a unique fingerprint.

Cite this