Quantitative Proteomic Analysis of MARC-145 Cells Infected with a Mexican Porcine Reproductive and Respiratory Syndrome Virus Strain Using a Label-Free Based DIA approach

• Published in: Journal of the American Society for Mass Spectrometry Vol. 31; no. 6; pp. 1302 - 1312
• Main Authors: Ríos-Castro, Emmanuel, Souza, Gustavo Henrique Martins Ferreira, Delgadillo-Álvarez, Dulce María, Ramírez-Reyes, Lorena, Torres-Huerta, Ana Laura, Velasco-Suárez, Andrea, Cruz-Cruz, Carlos, Hernández-Hernández, José Manuel, Tapia-Ramírez, José
• Format: Journal Article
• Language: English
• Published: United States 03-06-2020
• Subjects: Animals; Cell Line; Chlorocebus aethiops; Host-Pathogen Interactions; Mass Spectrometry - methods; Porcine Reproductive and Respiratory Syndrome - metabolism; Porcine Reproductive and Respiratory Syndrome - virology; Porcine respiratory and reproductive syndrome virus; Protein Interaction Maps; Proteome - analysis; Proteome - chemistry; Proteome - metabolism; Proteomics - methods; Swine; label-free; proteomics; immune response; interferon induced proteins; MARC-145; DIA; PRRSV; interferon stimulated genes
• ISSN: 1044-0305; 1879-1123
• DOI: 10.1021/jasms.0c00134

Porcine reproductive and respiratory syndrome (PRRS) is an infectious disease characterized by severe reproductive failure in sows, acute respiratory disorders in growing pigs, and high mortality in piglets. The causative agent of this syndrome is the PRRS virus (PRRSV), an RNA virus belonging to the Arteriviridae family. To date, several quantitative approaches of proteomics have been applied to analyze the gene expression profiles during PRRSV infection in PAMs and MARC-145 cells, and few proteins have been consistent among independent studies, probably due to the differences in the levels of virulence of different PRRSV strains used and/or due to analytical conditions. In this study, total proteins isolated from noninfected and infected MARC-145 cells with a Mexican PRRSV strain were relatively quantified using label-free based DIA approach in combination with ion-mobility separation. As a result, 1456 quantified proteins were found to be shared between the control and infected samples. Afterward, these proteins were filtered, and 699 of them were considered without change. Also, 17 proteins were up-regulated and 19 proteins were down-regulated during the PRSSV infection. Bioinformatic analysis revealed that many of the differentially expressed proteins are involved in processes like antigen processing, presentation of antigens, response to viruses, response to IFNs, and innate immune response, among others. The present work is the first one which provides a detailed proteomic analysis through label-free based DIA approach in MARC-145 cells during the infection with a Mexican PRRSV strain.