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TRANSFORMING GROWTH FACTOR BETA HAS DUAL EFFECTS ON MMP9 AND uPA EXPRESSION IN HTR-8/SVneo HUMAN TROPHOBLASTIC CELL LINE Acta biol.Colomb.
NOVOA HERRÁN,Sandra Susana; CASTELBLANCO,Mariela; SÁNCHEZ -GÓMEZ,Myriam; UMAÑA PÉREZ,Adriana.
ABSTRACT Invasion of trophoblast into endometrium is vital for successful pregnancy development. MMP9 and uPA are key proteases in this process, but it is still not clear the regulation of its expression by Transforming Growth Factor Beta (TGF-β), a known negative regulator of trophoblast invasion. We evaluated the effect of TGF-β on the transcriptional expression of uPA and MMP9 over time, in HTR-8/SVneo trophoblast cells cultured with or without 0.5 % fetal bovine serum, via RT qPCR. The involved transcription factors and signaling pathways were analyzed in silico, using Proscan, Enrich, PCViz and Wiki Pathway. Results showed that TGF-β temporarily regulates the expression of uPA and MMP9. Serum modified the nature of TGF-β's effects on uPA expression,...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Computational biology; Matrix metalloproteinase; Placenta; Plasminogen; Polymerase chain reaction.
Ano: 2019 URL: http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-548X2019000100026
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Mapping the habitat suitability of Andira humilis Mart. ex Benth. (Fabaceae) as a means to detect its associated galling species in Brazil Biological Sciences
Lima, Valdeir Pereira; Calado, Daniéla Cristina.
Host plant species have very specific interconnection with galling species. Here, we estimate the potential distribution of the host plant species Andira humilis Mart. ex Benth. (Fabaceae) to consequently locate the potential distribution ranges of its galling species Lopesia andirae Garcia, Lima, Calado, and Guimarães (2017) based on ecological requirements. The ecological niche model was built using Maxent v.3.4.1k, an algorithm that estimates species’ distributions. We found suitable habitats for L. andirae encompassing areas of the Cerrado, Caatinga and Atlantic Forest. Annual mean temperature (70.2%) and temperature annual range (13.9%) were the most critical factors shaping A. humilis and necessarily L. andirae. Our results can guide taxonomists and...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Biodiversity; Cecidomyiidae; Computational biology; Gall-inducing insects; Species distribution modeling. Biodiversity Cecidomyiidae Computational biology Gall-inducing insects Species distribution modeling.
Ano: 2020 URL: http://periodicos.uem.br/ojs/index.php/ActaSciBiolSci/article/view/48809
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Soft computing model on genetic diversity and pathotype differentiation of pathogens: A novel approach Electron. J. Biotechnol.
Gürüler,Hüseyin; Peker,Musa; Baysal,Ömür.
Background Identifying and validating biomarkers' scores of polymorphic bands are important for studies related to the molecular diversity of pathogens. Although these validations provide more relevant results, the experiments are very complex and time-consuming. Besides rapid identification of plant pathogens causing disease, assessing genetic diversity and pathotype formation using automated soft computing methods are advantageous in terms of following genetic variation of pathogens on plants. In the present study, artificial neural network (ANN) as a soft computing method was applied to classify plant pathogen types and fungicide susceptibilities using the presence/absence of certain sequence markers as predictive features. Results A plant pathogen,...
Tipo: Journal article Palavras-chave: Computational biology; Genetic diversity; Molecular markers; Plant pathogens; Predictive information; Soft computing.
Ano: 2015 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582015000500004
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Methodological differences can affect sequencing depth with a possible impact on the accuracy of genetic diagnosis Genet. Mol. Biol.
Borges,Murilo G.; Rocha,Cristiane S.; Carvalho,Benilton S.; Lopes-Cendes,Iscia.
Abstract For a better interpretation of variants, evidence-based databases, such as ClinVar, compile data on the presumed relationships between variants and phenotypes. In this study, we aimed to analyze the pattern of sequencing depth in variants from whole-exome sequencing data in the 1000 Genomes project phase 3, focusing on the variants present in the ClinVar database that were predicted to affect protein-coding regions. We demonstrate that the distribution of the sequencing depth varies across different sequencing centers (pair-wise comparison, p < 0.001). Most importantly, we found that the distribution pattern of sequencing depth is specific to each facility, making it possible to correctly assign 96.9% of the samples to their sequencing center....
Tipo: Info:eu-repo/semantics/article Palavras-chave: Whole exome sequencing; Depth; ClinVar; Computational biology; Clinical genomics.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572020000400804
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