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Moreira, R. S.

Publications and source records attributed to Moreira, R. S..

2 recordsLinked to original sources

Comprehensive genomic analysis of Trypanosoma rangeli reveals key insights into the biology and evolution of this non-virulent American mammalian trypanosome

BackgroundTrypanosoma rangeli is a non-virulent hemoflagellate protozoan parasite that infects mammals, including humans, in Central and South America. It is primarily transmitted through the bites of triatomine bugs and shares an overlapping geographical distribution with T. cruzi, as well as triatomine vectors and mammalian hosts, and various shared surface antigens. The life cycle of T. rangeli differs from those of other human-infecting trypanosomes, such as T. cruzi and T. brucei, and the molecular mechanisms underlying host-parasite and host-vector interactions are not well understood, demanding improved molecular and genomic resources. ResultsThe use of a hybrid approach to sequence and assemble the T. rangeli genome, complemented by transcriptomics and proteomics for functional gene annotation, led to the generation of the near-complete genome sequence of the parasite. Detailed intra- and inter-specific comparative genomics allowed analysis of polymorphisms, genome structure and improved resolution of genes coding for important surface molecules such as Mucins, TASV and GP63. ConclusionsThe improved T. rangeli genome assembly, combined with comparative genomics has yielded novel biological insights. These included the first description of a metalloprotease activity, attributed to specific GP63 genes that are absent in Leishmania species. In addition, a TASV gene family that is absent in T. cruzi was identified, which indicates a possible role in the T. rangeli infection process.

microbiology↗

FastProtein: An automated software for in silico proteomic analysis

BackgroundAlthough various tools provide proteomic information, each has its limitations regarding execution platforms, libraries, versions, and data output format. Therefore, integrating data analyses generated using different software programs is a manual process that can prolong the analysis time. ResultsThis paper presents FastProtein, a protein analysis pipeline tool developed in Java. This tool is user-friendly, easily installable, and provides important information regarding the subcellular location, transmembrane domains, signal peptide, molecular weight, isoelectric point, hydropathy, aromaticity, gene ontology, endoplasmic reticulum retention domains, and N- glycosylation domains of a protein. Furthermore, it helps determine the presence of glycosylphosphatidylinositol and obtain annotation information using InterProScan, PANTHER, PFam, and alignment-based annotation searches. Additionally, the software outputs a protein dataset with evidence of membrane localization. ConclusionsThe proposed tool provides the scientific community with an easy and user-friendly computational tool for proteomics data analysis. The tool is applicable to both small datasets and proteome-wide studies. It can be used in either the command line interface mode or through a web interface installed on a local server or via the BioLib web interface (http://biolib.com/UFSC/FastProtein). FastProtein also accelerates proteomics analysis routines by generating multiple results in a one-step run. The software is open-source and freely available. Installation and execution instructions, as well as the source code and test files generated for tool validation, are provided at https://github.com/bioinformatics-ufsc/FastProtein.

bioinformatics↗