Issue 10, 2015

A shotgun metalloproteomic approach enables identification of proteins involved in the speciation of a ruthenium anticancer drug in the cytosol of cancer cells

Abstract

The study reported herein focused on the development and optimization of a versatile analytical methodology for characterization of intracellular distribution of protein-bound species of ruthenium originating from an anticancer Ru-based drug, indazolium trans-[tetrachloridobis(1H-indazole)ruthenate(III)]. A direct analysis of the drug-treated cytosol of cancer cells using size-exclusion chromatography (SEC) interfaced with inductively coupled plasma mass spectrometry (ICP-MS) revealed that over 85% of ruthenium is converted into a high molecular-mass fraction. To further determine the ruthenium binding pattern, a shotgun approach was used, with the entire proteome being digested and the resulting peptides being analyzed by capillary high-performance liquid chromatography (μHPLC) combined with electrospray ionization triple quadrupole MS. This allowed for identification of the ruthenated proteins on the basis of characteristic MS/MS spectra of the respective peptides. It was found that both Ru(III)- and Ru(II)-ligated functionalities participate in adduct formation, the hydrolyzed forms of the drug being attached to the majority of the binding proteins. Of an array of proteins responding to drug treatment, the most important – from the viewpoint of unveiling the exact mode of action – are inhibitor, pro-apoptotic, and DNA reparation proteins.

Graphical abstract: A shotgun metalloproteomic approach enables identification of proteins involved in the speciation of a ruthenium anticancer drug in the cytosol of cancer cells

Supplementary files

Article information

Article type
Paper
Submitted
04 Mar 2015
Accepted
25 Mar 2015
First published
25 Mar 2015

Analyst, 2015,140, 3492-3499

A shotgun metalloproteomic approach enables identification of proteins involved in the speciation of a ruthenium anticancer drug in the cytosol of cancer cells

M. Matczuk, M. Kupiec, J. Legat, K. Pawlak, A. R. Timerbaev and M. Jarosz, Analyst, 2015, 140, 3492 DOI: 10.1039/C5AN00426H

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