کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
9266174 1217269 2005 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Identification of immunogenic proteins from Paracoccidioides brasiliensis antigenic fractions F0, FII and FIII
موضوعات مرتبط
علوم زیستی و بیوفناوری ایمنی شناسی و میکروب شناسی ایمونولوژی
پیش نمایش صفحه اول مقاله
Identification of immunogenic proteins from Paracoccidioides brasiliensis antigenic fractions F0, FII and FIII
چکیده انگلیسی
Paracoccidioides brasiliensis causes a chronic granulomatous mycosis prevalent in South America, and cell-mediated immunity is the principal mode of protection against this fungal infection. In this context, one of the strategies to discover proteins that are target of an effective immune response against P. brasiliensis is the partial sequencing of cDNA from an expression library previously screened with immunoglobulins (Ig) to generate antigen sequence tags (AST). In the present work, a P. brasiliensis yeast cDNA expression library was screened with affinity chromatography-purified IgG from rabbit sera immunized with P. brasiliensis antigenic fractions (F0, FII or FIII) or from paracoccidioidomycosis (PCM) patient sera by indirect ELISA. From 119 clones selected by the immunoscreening procedure, 40% were recognized by IgG from PCM patients, 25% were recognized by anti-F0, 8% were selected by anti-FII and 11% recognized by FIII specific antibodies. The remaining clones presented cross-reaction to all anti-sera tested. The AST homologies with previously reported sequences in the nonredundant GenBank at NCBI revealed high significant homology to fungal proteins of known function. One of them matched calcineurin B of Neurospora crassa with 35% identity and 55% similarity in amino acid sequence. We also identified an AST homologous to a Kinesin like protein from Ustilagus maydis and other fungi with 86% identity and 91% similarity. On the other hand, the vast majority of selected cDNA clones are new genes and represent 60% of the total. Prediction of transmembrane regions with the prediction transmembrane protein topology with a hidden markov model (TMHMM) revealed consensus sequences representing structural membrane segments in 28 encoded proteins.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Immunology Letters - Volume 101, Issue 1, 15 October 2005, Pages 24-31
نویسندگان
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