Identification, Bioinformatics Analyses, and Expression of Immunoreactive Antigens of Mycoplasma haemofelis

被引:3
|
作者
Messick, Joanne B. [1 ]
Santos, Andrea P. [1 ]
机构
[1] Purdue Univ, Dept Comparat Pathobiol, W Lafayette, IN 47907 USA
关键词
POLYMERASE-CHAIN-REACTION; PROTEIN SUBCELLULAR-LOCALIZATION; HAEMOBARTONELLA-FELIS; RISK-FACTORS; HAEMOMINUTUM; PREDICTION; CATS; ASSAY; INFECTION; PSORT;
D O I
10.1128/CVI.05060-11
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Mycoplasma haemofelis infection frequently causes anemia in cats. Despite an intense immune response and/or antibiotic treatment, cats often remain asymptomatic carriers following infection. Our hypothesis is that detection of antibodies to M. haemofelis is a sensitive approach for identifying infected cats, particularly carriers. To date, no immunoassay has been developed. This is due largely to the inability to culture M. haemofelis in vitro; hence, a source of antigen is not readily available. The objective of this study was to identify, express, and purify immunogenic proteins of M. haemofelis. To accomplish this, two whole-genomic expression libraries were created in the Lambda ZapII vector and immunoscreened with preimmune plasma, plasma from specific-pathogen-free cats, and pooled acute-and convalescent-phase plasma from experimentally infected cats. The inserts from 21 immunoreactive clones were sequenced, resulting in the identification of 60 genes coding for putative proteins necessary for diverse cellular functions, along with several novel genes of M. haemofelis. Fragments of selected genes based on bioinformatic analyses were PCR amplified, cloned into a high-level protein expression system, and subsequently expressed in Escherichia coli as a His(6)-fusion protein. The recombinant fusion proteins of M. haemofelis were purified and evaluated as an antigen in a Western blot to verify the findings of previous immunoscreening. Together with bioinformatics analyses of individual genes, this approach provided several putative candidate antigens. Five antigens of M. haemofelis were reactive by Western blotting against the immune plasma and negative against nonimmune plasma; these antigens might be useful serologic or even vaccine targets.
引用
收藏
页码:1275 / 1281
页数:7
相关论文
共 50 条
  • [31] IDENTIFICATION OF IMMUNOREACTIVE MEMBRANE-ANTIGENS OF BRUCELLA-OVIS BY ELISA PROFILING
    CHIN, JC
    SCULLY, C
    RESEARCH IN VETERINARY SCIENCE, 1986, 41 (01) : 1 - 6
  • [32] Identification of Immunoreactive Secretory Antigens from Burkholderia cepacia Against Monoclonal Antibody
    Vanitha, M.
    Kumutha, M. V.
    Hashim, O.
    Vadivelu, J.
    INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2008, 12 : E228 - E228
  • [33] Bioinformatics and expression analyses of the Ixodes scapularis tick cystatin family
    Adriana Mércia Guaratini Ibelli
    Meghan M. Hermance
    Tae Kwon Kim
    Cassandra Lee Gonzalez
    Albert Mulenga
    Experimental and Applied Acarology, 2013, 60 : 41 - 53
  • [34] Bioinformatics and expression analyses of the Ixodes scapularis tick cystatin family
    Guaratini Ibelli, Adriana Mercia
    Hermance, Meghan M.
    Kim, Tae Kwon
    Gonzalez, Cassandra Lee
    Mulenga, Albert
    EXPERIMENTAL AND APPLIED ACAROLOGY, 2013, 60 (01) : 41 - 53
  • [35] ANALYSIS OF THE VARIABILITY IN EXPRESSION OF MYCOPLASMA-GALLISEPTICUM SURFACE-ANTIGENS
    GARCIA, M
    ELFAKI, MG
    KLEVEN, SH
    VETERINARY MICROBIOLOGY, 1994, 42 (2-3) : 147 - 158
  • [36] Identification of Hub Genes in Atypical Teratoid/Rhabdoid Tumor by Bioinformatics Analyses
    Pan, Xin
    Liu, Wei
    Chai, Yi
    Hu, Libo
    Wang, Junhua
    Zhang, Yuqi
    JOURNAL OF MOLECULAR NEUROSCIENCE, 2020, 70 (11) : 1906 - 1913
  • [37] Identification of pathways and genes associated with synovitis in osteoarthritis using bioinformatics analyses
    Huang, Hui
    Zheng, Jiaxuan
    Shen, Ningjiang
    Wang, Guangji
    Zhou, Gang
    Fang, Yehan
    Lin, Jianping
    Zhao, Jianning
    SCIENTIFIC REPORTS, 2018, 8
  • [38] Identification of pathways and genes associated with meniscus degeneration using bioinformatics analyses
    Huang, Hui
    Zheng, Jiaxuan
    Deng, Ming
    Fang, Yehan
    Zhan, Daolu
    Wang, Guangji
    AMERICAN JOURNAL OF TRANSLATIONAL RESEARCH, 2021, 13 (11): : 12410 - 12420
  • [39] Bioinformatics combined with quantitative proteomics analyses and identification of potential biomarkers in cholangiocarcinoma
    Da, Zijian
    Gao, Long
    Su, Gang
    Yao, Jia
    Fu, Wenkang
    Zhang, Jinduo
    Zhang, Xu
    Pei, Zhaoji
    Yue, Ping
    Bai, Bing
    Lin, Yanyan
    Meng, Wenbo
    Li, Xun
    CANCER CELL INTERNATIONAL, 2020, 20 (01)
  • [40] Identification of potential biomarkers in follicular thyroid carcinoma: bioinformatics and immunohistochemical analyses
    Lin, Qianhuang
    Ma, Ye
    Chen, Pengcheng
    ONCOLOGIE, 2024, 26 (02) : 311 - 322