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Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions
Published on: October 20, 2020
Quantitative proteomic analysis in serum of Takifugu rubripes infected with Cryptocaryon irritans
Peng-Fei Liu1, Yuqing Xia2, Xin-Tong Hua1
1College of Marine Technology and Environment, Dalian Ocean University, Dalian, 116023, China; Key Laboratory of Environment Controlled Aquaculture (KLECA), Ministry of Education, 52 Heishijiao Street, Dalian, 116023, China.
Abstract:
Cryptocaryon irritans can cause cryptocaryonosis (white spot disease) in marine fish but the pathogenesis of the disease is unclear. In this work, we used high-throughput proteomics to identify differentially expressed proteins in the serum of Takifugu rubripes challenged with C. irritans. By using quantitative proteomic assays combined with Tandem Mass Tag-labeled quantitative proteomic analysis, we identified a total of 2088 differentially abundant proteins (1706 proteins were quantified, p < 0.05, fold-change threshold ≥ 2), including 21 up-regulated and 44 down-regulated. Combined with STRING-based functional analysis, we ultimately obtained eight proteins including glucokinase-like, integrin beta-1-like isoform X2, H4, H2A.V, histone H1-like, histone H2AX-like, histone H2B 1/2-like and myosin-9 isoform X1, which could be considered as potential biomarkers for T. rubripes immune responses. Eight proteins that were selected to validate significant differentially expressed genes at the proteomic level were consistent with qPCR at the transcriptomic level. The proteins identified in our work may serve as candidates for elucidating the molecular mechanism of cryptocaryonosis in T. rubripes. Our collective findings could provide new insights into searching for disease-specific targets and biomarkers, which may be effective indicators of C. irritans infection in T. rubripes.
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