Literature DB >> 29338241

Characterization of Macrophage Endogenous S-Nitrosoproteome Using a Cysteine-Specific Phosphonate Adaptable Tag in Combination with TiO2 Chromatography.

María Ibáñez-Vea1, Honggang Huang2, Xabier Martínez de Morentin3, Estela Pérez4, Maria Gato1, Miren Zuazo1, Hugo Arasanz1, Joaquin Fernández-Irigoyen4, Enrique Santamaría4, Gonzalo Fernandez-Hinojal1, Martin R Larsen2, David Escors1,5, Grazyna Kochan1.   

Abstract

Protein S-nitrosylation is a cysteine post-translational modification mediated by nitric oxide. An increasing number of studies highlight S-nitrosylation as an important regulator of signaling involved in numerous cellular processes. Despite the significant progress in the development of redox proteomic methods, identification and quantification of endogeneous S-nitrosylation using high-throughput mass-spectrometry-based methods is a technical challenge because this modification is highly labile. To overcome this drawback, most methods induce S-nitrosylation chemically in proteins using nitrosylating compounds before analysis, with the risk of introducing nonphysiological S-nitrosylation. Here we present a novel method to efficiently identify endogenous S-nitrosopeptides in the macrophage total proteome. Our approach is based on the labeling of S-nitrosopeptides reduced by ascorbate with a cysteine specific phosphonate adaptable tag (CysPAT), followed by titanium dioxide (TiO2) chromatography enrichment prior to nLC-MS/MS analysis. To test our procedure, we performed a large-scale analysis of this low-abundant modification in a murine macrophage cell line. We identified 569 endogeneous S-nitrosylated proteins compared with 795 following exogenous chemically induced S-nitrosylation. Importantly, we discovered 579 novel S-nitrosylation sites. The large number of identified endogenous S-nitrosylated peptides allowed the definition of two S-nitrosylation consensus sites, highlighting protein translation and redox processes as key S-nitrosylation targets in macrophages.

Entities:  

Keywords:  S-nitrosylation; immune system; macrophages; post-translational modifications (PTMs); proteomics

Mesh:

Substances:

Year:  2018        PMID: 29338241     DOI: 10.1021/acs.jproteome.7b00812

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  6 in total

1.  Regulation of cytochrome P450 enzyme activity and expression by nitric oxide in the context of inflammatory disease.

Authors:  Edward T Morgan; Cene Skubic; Choon-Myung Lee; Kaja Blagotinšek Cokan; Damjana Rozman
Journal:  Drug Metab Rev       Date:  2020-09-08       Impact factor: 4.518

2.  Proteomic analysis of S-nitrosylated nuclear proteins in rat cortical neurons.

Authors:  Jacob G Smith; Sarah G Aldous; Catia Andreassi; Giovanni Cuda; Marco Gaspari; Antonella Riccio
Journal:  Sci Signal       Date:  2018-07-03       Impact factor: 8.192

Review 3.  Resistance to PD-L1/PD-1 Blockade Immunotherapy. A Tumor-Intrinsic or Tumor-Extrinsic Phenomenon?

Authors:  Luisa Chocarro de Erauso; Miren Zuazo; Hugo Arasanz; Ana Bocanegra; Carlos Hernandez; Gonzalo Fernandez; Maria Jesus Garcia-Granda; Ester Blanco; Ruth Vera; Grazyna Kochan; David Escors
Journal:  Front Pharmacol       Date:  2020-04-07       Impact factor: 5.810

4.  Protein cysteine S-nitrosylation provides reducing power by enhancing lactate dehydrogenase activity in Trichomonas vaginalis under iron deficiency.

Authors:  Wei-Hung Cheng; Kuo-Yang Huang; Seow-Chin Ong; Fu-Man Ku; Po-Jung Huang; Chi-Ching Lee; Yuan-Ming Yeh; Rose Lin; Cheng-Hsun Chiu; Petrus Tang
Journal:  Parasit Vectors       Date:  2020-09-18       Impact factor: 3.876

Review 5.  S-Nitrosylation in Tumor Microenvironment.

Authors:  Vandana Sharma; Veani Fernando; Joshua Letson; Yashna Walia; Xunzhen Zheng; Daniel Fackelman; Saori Furuta
Journal:  Int J Mol Sci       Date:  2021-04-27       Impact factor: 5.923

Review 6.  Hsp70 in Redox Homeostasis.

Authors:  Hong Zhang; Weibin Gong; Si Wu; Sarah Perrett
Journal:  Cells       Date:  2022-02-28       Impact factor: 6.600

  6 in total

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