Role of BMP-4 during tooth development in a model with complete dentition.

There are no reports in literature about roles of bone morphogenetic protein 4 (BMP-4) in tooth development in mammals with complete dentition (with all dental groups). The classical model of study is the mouse, which has distinctive incisor and molar patterns. The opossum Didelphis albiventris with five upper and four lower incisors, one canine, three premolars and four molars, on each side of the jaw, seems to be a convenient model for odontogenesis study. This investigation searched for similarities and differences in BMP-4 expression pattern between the opossum and the mouse. BMP-4 cDNA was obtained by RT-PCR and the expression pattern during molar tooth development was investigated by the immunoperoxidase method. Opossum BMP-4 mature protein has 95% of sequence similarity in relation to mouse and 94% to human. The BMP-4 expression pattern during opossum tooth development was suggestive of a role in dental organ initiation and morphogenesis.

Bovine babesiosis: anti-erythrocyte antibodies purification from the sera of naturally infected cattle.

Babesia bigemina and Babesia bovis are intra-erythrocytic protozoan parasites transmitted by ticks to cattle in which they induce babesiosis, a disease that resembles human malaria. Anemia, caused by the destruction of non-infected erythrocytes, is a critical feature of the disease. Anti-erythrocyte antibodies could be one of the explanations for such destruction. These antibodies are found in the sera of dogs and mice respectively infected with B. gibsoni and B. rodhaini. However, data concerning the presence of anti-erythrocyte antibodies in the sera of infected cattle are not conclusive. In the present study, we made an attempt to detect anti-erythrocyte antibodies from the sera of cattle naturally infected with B. bigemina. Erythrocytes from a non-infected calf were used in ELISA reaction for the detection of antibodies from samples. Results confirmed the presence of anti-erythrocytes antibodies in higher amounts in the serum of infected cattle. In order to correlate this increment with the parasite, anti-erythrocyte antibodies from the sera from infected calves were purified, coupled to a Sepharose-4B column and than used for anti-idiotypic antibodies purification. These antibodies were found to react with the parasites, suggesting a correlation between both anti-parasite and anti-erythrocyte antibodies.

Identification of immunogenic proteins from Paracoccidioides brasiliensis antigenic fractions F0, FII and FIII.

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.