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Critical Reviews™ in Immunology

Publicou 6 edições por ano

ISSN Imprimir: 1040-8401

ISSN On-line: 2162-6472

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.3 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 2.6 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00079 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.24 SJR: 0.429 SNIP: 0.287 CiteScore™:: 2.7 H-Index: 81

Indexed in

Proteomics for the Development of Vaccines and Therapeutics

Volume 30, Edição 3, 2010, pp. 239-254
DOI: 10.1615/CritRevImmunol.v30.i3.20
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RESUMO

Proteomics permits the large-scale and high-throughput analysis of proteins and has become a powerful tool with which to study the pathogenic mechanisms of bacteria. It not only provides a metabolic snapshot at a particular moment in the life of a pathogen, but can also determine where a protein resides, its function, whether it is secreted, and its interactions with other proteins, including those of the host. Comparative proteomics can yield important information on the differences between attenuated and pathogenic organisms and whether a protein is conserved among various strains. Our laboratory has utilized traditional and novel techniques to investigate the global and subproteomes of Bacillus anthracis as they relate to vaccine and therapeutic development. Recently, our efforts have focused on the use of mass spectrometry for B-cell epitope discovery and identification of components of a pathogen that interact with host proteins. Development of vaccines and therapeutics based on proteomic data in combination with novel adjuvants and delivery systems will be presented.

CITADO POR
  1. Gesslbauer Bernd, Poljak Albina, Handwerker Claudia, Schüler Wolfgang, Schwendenwein Daniel, Weber Corinna, Lundberg Urban, Meinke Andreas, Kungl Andreas J., Comparative membrane proteome analysis of threeBorreliaspecies, PROTEOMICS, 12, 6, 2012. Crossref

  2. Gray Darren W, Welsh Michael D, Doherty Simon, Mansoor Fawad, Chevallier Olivier P, Elliott Christopher T, Mooney Mark H, Identification of systemic immune response markers through metabolomic profiling of plasma from calves given an intra-nasally delivered respiratory vaccine, Veterinary Research, 46, 1, 2015. Crossref

  3. Dwivedi Pratistha, Alam Syed Imteyaz, Tomar Rajesh Singh, Secretome, surfome and immunome: emerging approaches for the discovery of new vaccine candidates against bacterial infections, World Journal of Microbiology and Biotechnology, 32, 9, 2016. Crossref

  4. Horvatić Anita, Kuleš Josipa, Guillemin Nicolas, Galan Asier, Mrljak Vladimir, Bhide Mangesh, High-throughput proteomics and the fight against pathogens, Molecular BioSystems, 12, 8, 2016. Crossref

  5. Deblais Loïc, Kathayat Dipak, Helmy Yosra A., Closs Gary, Rajashekara Gireesh, Translating ‘big data’: better understanding of host-pathogen interactions to control bacterial foodborne pathogens in poultry, Animal Health Research Reviews, 21, 1, 2020. Crossref

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