Author(s)

  • BEATRICE ALPHA-BAZIN (Presenting Author) | Département médicaments et technologies pour la santé (DMTS), CEA INRAE UMR 0496, SPI/LI2D | BP17171, 30207, BAGNOLS-SUR CEZE CEDEX, France
  • IDIR TINE | Département médicaments et technologies pour la santé (DMTS), CEA INRAE UMR 0496, SPI/LI2D | BP 17171, 30207, BAGNOLS-SUR-CEZE CEDEX, France
  • MARC YEHYA | UPR-4278, laboratoire de physiologie expérimentale cardiovasculaire, Avignon université | Campus Jean-Henri Fabre, 84000, AVIGNON, France
  • DORIA BOULGHOBRA | UPR-4278, laboratoire de physiologie expérimentale cardiovasculaire, Avignon université | Campus Jean-Henri Fabre, 84000, AVIGNON, France
  • LAURA OLRY | Département médicaments et technologies pour la santé (DMTS), CEA INRAE UMR 0496, SPI/LI2D | BP 17171, 30207, BAGNOLS-SUR-CEZE CEDEX, France
  • JEAN ARMENGAUD | Département médicaments et technologies pour la santé (DMTS), CEA INRAE UMR 0496, SPI/LI2D | BP 17171, 30207, BAGNOLS-SUR-CEZE CEDEX, France
  • CYRIL REBOUL | UPR-4278, laboratoire de physiologie expérimentale cardiovasculaire, Avignon université | Campus Jean-Henri Fabre, 30207, BAGNOLS-SUR-CEZE, France

Abstract

S-nitrosylation is the result of the reaction between nitric oxide (NO) and the sulfhydryl cysteine of a protein plays a central biological role in the propagation of NO signals within a cell, tissue and its microenvironment. Nowadays accumulative evidences show the implication of protein S-nitrosylation in cellular physiology and pathophysiology.
The aim of this work was the development of a novel optimized sample preparation process capable of managing the major challenges of SNO analyses, namely reliability, throughput (cost) and detection from low quantity of sample.
The optimized method combines a biotin-like based SNO derivatization, single pot solid-phase enhanced sample preparation and a magnetic- based enrichment. The samples were analyzed using a nano-LC system coupled to Q-Exactive HF.
The results of optimizations performed using Hela extracts treated with 100µM GSNO are presented. The methodoly was then applied to analyze endogenous SNO modification from rat heart samples. The SNOs identified were validated by cross-referencing and an artificial intelligence tool. AlLtogether, these results highlight interesting performance gains brought by the novel procedure in terms of speed and efficiency, false-positive management, throughput, and ability to analyze low sample amount. The method will now be applied to identify endogenous SNO proteins and their sites to access the molecular mechanisms and regulatory roles of S-nitrosylation.