Characterization of the tick-pathogen interface by quantitative proteomics

被引:18
作者
Villar, Margarita [1 ]
Popara, Marina [1 ]
Bonzon-Kulichenko, Elena [2 ]
Ayllon, Nieves [1 ]
Vazquez, Jesus [2 ]
de la Fuente, Jose [1 ,3 ]
机构
[1] Inst Invest Rectirsos Cineget IREC CSIC UCLM JCCM, Ciudad Real 13005, Spain
[2] Ctr Nacl Invest Cardiovasc CNIC CSIC, Madrid 28029, Spain
[3] Oklahoma State Univ, Ctr Vet Hlth Sci, Dept Vet Pathobiol, Stillwater, OK 74078 USA
关键词
Tick-pathogen interface; Vectors; Quantitative proteomics; DIGE; iTRAQ; RHIPICEPHALUS BOOPHILUS MICROPLUS; DIFFERENTIAL PROTEIN EXPRESSION; GEL-ELECTROPHORESIS; MASS-SPECTROMETRY; ABSOLUTE PROTEIN; FLUORESCENT DYES; BORNE PATHOGENS; PREVALENCE; MIXTURES; INFECTION;
D O I
10.1016/j.ttbdis.2012.02.004
中图分类号
R51 [传染病];
学科分类号
100201 [内科学];
摘要
Ticks are vectors of pathogens that affect human and animal health worldwide. Ticks and the pathogens they transmit have co-evolved molecular interactions involving genetic traits of both the tick and the pathogen that mediate their development and survival. Proteomics and genomics studies of infected ticks are required to understand tick-pathogen interactions and identify potential vaccine antigens to control tick infestations and pathogen transmission. In this paper, the application of quantitative proteomics to characterize differential protein expression in ticks and cultured tick cells in response to pathogen infection is reviewed. Analyses using (a) two-dimensional differential in gel electrophoresis (DIGE) labeling and (b) protein one-step in gel digestion, peptide iTRAQ labeling, and isoelectric focusing fractionation, both followed by peptide and protein identifications by mass spectrometry resulted in the identification of host, pathogen, and tick proteins differentially expressed in response to infection. Although at its infancy, these results showed that quantitative proteomics is a powerful approach to characterize the tick-pathogen interface and demonstrated pathogen and tick-specific differences in protein expression in ticks and cultured tick cells in response to pathogen infection. (C) 2012 Elsevier GmbH. All rights reserved.
引用
收藏
页码:154 / 158
页数:5
相关论文
共 32 条
[1]
A Robust Method for Quantitative High-throughput Analysis of Proteomes by 18O Labeling [J].
Bonzon-Kulichenko, Elena ;
Perez-Hernandez, Daniel ;
Nunez, Estefania ;
Martinez-Acedo, Pablo ;
Navarro, Pedro ;
Trevisan-Herraz, Marco ;
del Carmen Ramos, Maria ;
Sierra, Saleta ;
Martinez-Martinez, Sara ;
Ruiz-Meana, Marisol ;
Miro-Casas, Elizabeth ;
Garcia-Durado, David ;
Miguel Redondo, Juan ;
Burgos, Javier S. ;
Vazquez, Jesus .
MOLECULAR & CELLULAR PROTEOMICS, 2011, 10 (01)
[2]
The APEX Quantitative Proteomics Tool: Generating protein quantitation estimates from LC-MS/MS proteomics results [J].
Braisted, John C. ;
Kuntumalla, Srilatha ;
Vogel, Christine ;
Marcotte, Edward M. ;
Rodrigues, Alan R. ;
Wang, Rong ;
Huang, Shih-Ting ;
Ferlanti, Erik S. ;
Saeed, Alexander I. ;
Fleischmann, Robert D. ;
Peterson, Scott N. ;
Pieper, Rembert .
BMC BIOINFORMATICS, 2008, 9 (1)
[3]
Quantitative profiling of proteins in complex mixtures using liquid chromatography and mass spectrometry [J].
Chelius, D ;
Bondarenko, PV .
JOURNAL OF PROTEOME RESEARCH, 2002, 1 (04) :317-323
[4]
Overview: Ticks as vectors of pathogens that cause disease in humans and animals [J].
de la Fuente, Jose ;
Estrada-Pena, Agustin ;
Venzal, Jose M. ;
Kocan, Katherine M. ;
Sonenshine, Daniel E. .
FRONTIERS IN BIOSCIENCE-LANDMARK, 2008, 13 :6938-6946
[5]
Functional genomic studies of tick cells in response to infection with the cattle pathogen, Anaplasma marginale [J].
de la Fuente, Jose ;
Blouin, Edmour F. ;
Manzano-Roman, Raul ;
Naranjo, Victoria ;
Almazan, Consuelo ;
Manuel Perez de la Lastra, Jose ;
Zlvkovic, Zorica ;
Jongejan, Frans ;
Kocan, Katherine M. .
GENOMICS, 2007, 90 (06) :712-722
[6]
Functional genomics and evolution of tick-Anaplasma interactions and vaccine development [J].
de la Fuente, Jose ;
Kocan, Katherine M. ;
Blouin, Edmour F. ;
Zivkovic, Zorica ;
Naranjo, Victoria ;
Almazan, Consuelo ;
Esteves, Eliane ;
Jongejan, Frans ;
Daffre, Sirlei ;
Mangold, Atilio J. .
VETERINARY PARASITOLOGY, 2010, 167 (2-4) :175-186
[7]
Quantitative analysis of complex protein mixtures using isotope-coded affinity tags [J].
Gygi, SP ;
Rist, B ;
Gerber, SA ;
Turecek, F ;
Gelb, MH ;
Aebersold, R .
NATURE BIOTECHNOLOGY, 1999, 17 (10) :994-999
[8]
Exponentially modified protein abundance index (emPAI) for estimation of absolute protein amount in proteomics by the number of sequenced peptides per protein [J].
Ishihama, Y ;
Oda, Y ;
Tabata, T ;
Sato, T ;
Nagasu, T ;
Rappsilber, J ;
Mann, M .
MOLECULAR & CELLULAR PROTEOMICS, 2005, 4 (09) :1265-1272
[9]
Statistical Model to Analyze Quantitative Proteomics Data Obtained by 18O/16O Labeling and Linear Ion Trap Mass Spectrometry APPLICATION TO THE STUDY OF VASCULAR ENDOTHELIAL GROWTH FACTOR-INDUCED ANGIOGENESIS IN ENDOTHELIAL CELLS [J].
Jorge, Inmaculada ;
Navarro, Pedro ;
Martinez-Acedo, Pablo ;
Nunez, Estefania ;
Serrano, Horacio ;
Alfranca, Arantzazu ;
Miguel Redondo, Juan ;
Vazquez, Jesus .
MOLECULAR & CELLULAR PROTEOMICS, 2009, 8 (05) :1130-1149
[10]
Heat shock protein 70 kDa: Molecular biology, biochemistry, and physiology [J].
Kiang, JG ;
Tsokos, GC .
PHARMACOLOGY & THERAPEUTICS, 1998, 80 (02) :183-201