Proteomics analysis reveals heat shock proteins involved in caprine parainfluenza virus type 3 infection
BMC VETERINARY RESEARCH
Authors: Zhong, Chunyan; Li, Jizong; Mao, Li; Liu, Maojun; Zhu, Xing; Li, Wenliang; Sun, Min; Ji, Xinqin; Xiao, Fang; Yang, Leilei; Zhang, Wenwen; Liao, Zheng
Abstract
BackgroundCaprine parainfluenza virus type 3 (CPIV3) is major pathogen of goat herds causing serious respiratory tract disease and economic losses to the goat industry in China. We analyzed the differential proteomics of CPIV3-infected Madin-Darby bovine kidney (MDBK) cells using quantitative iTRAQ coupled LC-MS/MS. In addition, four DEPs were validated by qRT-PCR and western blot analysis.ResultsQuantitative proteomics analysis revealed 163 differentially expressed proteins (DEPs) between CPIV3-infected and mock-infected groups (p-value <0.05 and fold change >1.2), among which 91 were down-regulated and 72 were up-regulated. Gene ontology (GO) analysis showed that these DEPs were involved in molecular functions, cellular components and biological processes. Biological functions in which the DEPs were involved in included diseases, genetic information processing, metabolism, environmental information processing, cellular processes, and organismal systems. STRING analysis revealed that four heat shock proteins (HSPs) included HSPA5, HSPA1B, HSP90B1 and HSPA6 may be associated with proliferation of CPIV3 in MDBK cells. qRT-PCR and western blot analysis showed that the selected HSPs were identical to the quantitative proteomics data.ConclusionTo our knowledge, this is the first report of the proteomic changes in MDBK cells after CPIV3 infection.
Genetic determinants and an epistasis of LILRA3 and HLA-B(star)52 in Takayasu arteritis
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Authors: Terao, Chikashi; Yoshifuji, Hajime; Matsumura, Takayoshi; Naruse, Taeko K.; Ishii, Tomonori; Nakaoka, Yoshikazu; Kirino, Yohei; Matsuo, Keitaro; Origuchi, Tomoki; Shimizu, Masakazu; Maejima, Yasuhiro; Amiya, Eisuke; Tamura, Natsuko; Kawaguchi, Takahisa; Takahashi, Meiko; Setoh, Kazuya; Ohmura, Koichiro; Watanabe, Ryu; Horita, Tetsuya; Atsumi, Tatsuya; Matsukura, Mitsuru; Miyata, Tetsuro; Kochi, Yuta; Suda, Toshio; Tanemoto, Kazuo; Meguro, Akira; Okada, Yukinori; Ogimoto, Akiyoshi; Yamamoto, Motohisa; Takahashi, Hiroki; Nakayamada, Shingo; Saito, Kazuyoshi; Kuwana, Masataka; Mizuki, Nobuhisa; Tabara, Yasuharu; Ueda, Atsuhisa; Komuro, Issei; Kimura, Akinori; Isobe, Mitsuaki; Mimori, Tsuneyo; Matsuda, Fumihiko
Abstract
Takayasu arteritis (TAK) is a systemic vasculitis with severe complications that affects the aorta and its large branches. HLA-B(star)52 is an established susceptibility locus to TAK. To date, there are still only a limited number of reports concerning non-HLA susceptibility loci to TAK. We conducted a genome-wide association study (GWAS) and a follow-up study in a total of 633 TAK cases and 5,928 controls. A total of 510,879 SNPs were genotyped, and 5,875,450 SNPs were imputed together with HLA-B(star)52. Functional annotation of significant loci, enhancer enrichment, and pathway analyses were conducted. We identified four unreported significant loci, namely rs2322599, rs103294, rs17133698, and rs1713450, in PTK2B, LILRA3/LILRB2, DUSP22, and KLHL33, respectively. Two additional significant loci unreported in non-European GWAS were identified, namely HSPA6/FCGR3A and chr21q.22. We found that a single variant associated with the expression of MICB, a ligand for natural killer (NK) cell receptor, could explain the entire association with the HLA-B region. Rs2322599 is strongly associated with the expression of PTK2B. Rs103294 risk allele in LILRA3/LILRB2 is known to be a tagging SNP for the deletion of LILRA3, a soluble receptor of HLA class I molecules. We found a significant epistasis effect between HLA-B(star)52 and rs103294 (P = 1.2 x 10(-3)). Enhancer enrichment analysis and pathway analysis suggested the involvement of NK cells (P = 8.8 x 10(-5), enhancer enrichment). In conclusion, four unreported TAK susceptibility loci and an epistasis effect between LILRA3 and HLA-B(star)52 were identified. HLA and non-HLA regions suggested a critical role for NK cells in TAK.