Quantitative proteomics leads to identify dog brain proteins involved in rabies virus infection: implication in understanding viral pathophysiology

Autor: S. B. Majee, Amol Suryawanshi, R. Rajendra Reddy, Sandeepan Mukherjee, Suchismita Behera, Rajesh Pharande
Rok vydání: 2020
Předmět:
Zdroj: Journal of Proteins and Proteomics. 11:241-257
ISSN: 2524-4663
0975-8151
DOI: 10.1007/s42485-020-00051-w
Popis: Rabies is a neglected tropical disease caused by the rabies virus (RABV) and it is mostly transmitted to humans by dogs. However, knowledge about host factors and their role in RABV infection in dogs is still limited. This is the first study to identify differentially expressed dog brain proteins involved in naturally occurring rabies virus infection using iTRAQ-based proteomics approach. Here, we have reported 19 differentially expressed proteins (DEPs) in RABV infected dog brain compared to controls and some of these proteins are the first time reported. GO annotation revealed their involvement in various molecular functions and also their participation in cellular processes, biological regulation, and metabolic processes. Further, ingenuity pathway analysis (IPA) predicted the major protein network showing the connection of 13 DEPs and their role in some of the canonical pathways. IPA analysis also predicted their involvement in neurological disease, organismal injury and abnormalities, psychological disorders. Proteomics data were successfully validated at gene expression levels by qRT-PCR for five DEPs including two down-regulated proteins namely DDX3X and SNCB and three up-regulated proteins namely KCTD12, DLA-64 and IgSF. This study provides the list of molecules involved in RABV infection and gives some insight into the molecular pathophysiology involved in this infection. This also suggests that DE proteins like DDX3X may have importance in RABV replication similar to other viruses. However, further experiments are required to confirm the role of these proteins in the molecular mechanism of RABV infection.
Databáze: OpenAIRE
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