100 research outputs found
Effects of Acute Febrile Diseases on the Periodontium of Rhesus Monkeys with Reference to Poliomyelitis
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/67269/2/10.1177_00220345510300050301.pd
Role of Δ1-Pyrroline-5-Carboxylate Dehydrogenase Supports Mitochondrial Metabolism and Host-Cell Invasion ofTrypanosoma cruzi
Proline is crucial for energizing critical events throughout the life cycle of Trypanosoma cruzi, the etiological agent of Chagas disease. The proline breakdown pathway consists of two oxidation steps, both of which producereducing equivalents as follows: the conversion of proline to Δ1-pyrroline-5-carboxylate (P5C), and the subsequent conversion of P5C to glutamate. We have identified and characterized the Δ1-pyrroline-5-carboxylate dehydrogenase from T. cruzi (TcP5CDH) and report here on how this enzyme contributes to a central metabolic pathway in this parasite. Size-exclusionchromatography, two-dimensional gel electrophoresis, and small angle x-ray scattering analysis of TcP5CDH revealed an oligomericstate composed of two subunits of six protomers. TcP5CDH was found to complement a yeast strain deficient in PUT2 activity,confirming the enzyme's functional role; and the biochemical parameters (Km, kcat, and kcat/Km) of the recombinant TcP5CDH were determined, exhibiting values comparable with those from T. cruzi lysates. In addition, TcP5CDH exhibited mitochondrial staining during the main stages of the T. cruzi life cycle. mRNA and enzymatic activity levels indicated the up-regulation (6-fold change) of TcP5CDH during the infectivestages of the parasite. The participation of P5C as an energy source was also demonstrated. Overall, we propose that thisenzymatic step is crucial for the viability of both replicative and infective forms of T. cruzi
Návrh otvírky, přípravy a dobývání sloje Regina v oblasti překopu č. 576 mezi 4. a 5. patrem ve kře 10-7 na Dole Rudý říjen - OKR
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Modeling of the EEG signal
This article describes important and wide academic Field, EEG signals modeling. A majordivision of this Field into two branches, EEG-like signals modeling and seizure-like signals modeling,is introduced and analyzed. Three models to generate EEG activity are represented including theirstructure, analytic description and parameters’ setting. Finally results of implemented models areintroduced, discussed and mutually compared with regard to expected EEG activity.This article describes important and wide academic Field, EEG signals modeling. A majordivision of this Field into two branches, EEG-like signals modeling and seizure-like signals modeling,is introduced and analyzed. Three models to generate EEG activity are represented including theirstructure, analytic description and parameters’ setting. Finally results of implemented models areintroduced, discussed and mutually compared with regard to expected EEG activity
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