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dc.contributor.author Borsuk, Sibele
dc.contributor.author Seixas, Fabiana Kömmling
dc.contributor.author Soares, Daniela Fernandes Ramos
dc.contributor.author Rizzi, Caroline
dc.contributor.author Dellagostin, Odir Antonio
dc.date.accessioned 2019-08-14T18:07:57Z
dc.date.available 2019-08-14T18:07:57Z
dc.date.issued 2009
dc.identifier.citation BORSUK, Sibele et al. Identification of proteins from Tuberculin Purified Protein Derivative (PPD) with potential for TB diagnosis using bioinformatics analysis. Lecture Notes in Computer Science, v. 5676, p. 151-155, 2009. Disponível em:< https://link.springer.com/chapter/10.1007/978-3-642-03223-3_15>. Acesso em: 10 abr. 2017. pt_BR
dc.identifier.issn 0302-9743
dc.identifier.uri http://repositorio.furg.br/handle/1/7931
dc.description.abstract The PPD is widely used for diagnosis of bovine tuberculosis, however it lacks specificity and sensitivity, generally attributed the crossreactions with antigens shared by other Mycobacterium species. These highlight the necessity of better diagnostic tools to detect tuberculosis in cattle. We have identified proteins present in PPD preparations (avium and bovine PPD) by LC-MS/MS (Liquid Chromatography/Mass Spectrometry/Mass Spectrometry). A total of 169 proteins were identified. From these, four PPD proteins identified in bovine PPD and absent in avium PPD (Mb1961c, Mb2898, Mb2900 and Mb2965c) were select for bioinformatics analysis to identify an antigen with potential for TB diagnosis. We identified Mb1961c, a secreted protein, which has low identity proteins found in environmental mycobacteria. This protein could be used for the development of a diagnostic test or a synthetic PPD for bovine tuberculosis. pt_BR
dc.language.iso eng pt_BR
dc.rights restrict access pt_BR
dc.subject Bioinformatics analysis pt_BR
dc.subject LC-MS/MS pt_BR
dc.subject Bovine tuberculosis pt_BR
dc.subject Diagnostic pt_BR
dc.title Identification of Proteins from Tuberculin Purified Protein Derivative (PPD) with Potential for TB Diagnosis Using Bioinformatics Analysis pt_BR
dc.type article pt_BR
dc.identifier.doi 10.1007/978-3-642-03223-3_15 pt_BR


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