Complejidad y construcción de una red de genes asociados a preeclampsia

dc.creatorMontoya Villegas, Julio César
dc.creatorSánchez Gómez, Adalberto
dc.creatorSatizábal Soto, José María
dc.creatorGarcía Vallejo, Felipe
dc.date.accessioned2020-03-10T13:30:43Z
dc.date.available2020-03-10T13:30:43Z
dc.date.created2020-03-10T13:30:43Z
dc.date.issued2014-10
dc.identifierhttp://red.uao.edu.co//handle/10614/12070
dc.description.abstractLa Preeclampsia es un desorden multisistémico estudiado ampliamente por ser la principal causa de mortalidad materna tanto en Colombia como en el mundo. Investigaciones previas han mostrado la asociación de ciertos genes con esta enfermedad, e incluso se han encontrado patrones de metilación diferencial en algunos de estos y en secuencias repetidas que los rodean. El propósito de este estudio fue cuantificar la interacción de genes asociados a partir de datos de experimentos de micromatrices de ADN en placentas preeclámpticas. Procedimientos básicos: Usando el programa Cytoscape 3.1, se construyó una red de expresión génica, utilizando valores de z score obtenidos de una micromatriz de expresión de genes depositada en la base de datos “Gene Expression Omnibus”. Además, se caracterizó la cromatina asociada a estos genes, realizando un paseo cromosómico en ventanas de 100Kpb alrededor de cada gen, empleando recursos del Genome Browser y de la base de datos National Center of Biotechnology Information. Principales hallazgos: Se encontró una predominancia de las secuencias Alu, MIR, SINE y LINE, sin embargo no se encontraron diferencias significativas al comparar las regiones upstream y downstream asociadas a cada gen. La red mostró a los genes EBI3, ENG, PVRL4, TGFB1, INHBA, FSTL3, HTRA1 y KRT19, como expresados altamente en placenta preeclámpsica. Principales conclusiones: Las categorías ontológicas de la red corroboraron la asociación de estos genes con la Preeclampsia. Se puede inferir que la expresión diferencial de genes expresados en placenta preeclámpsica, se convierte en un criterio de discriminación diagnóstica de la patología
dc.description.abstractPreeclampsia is a multisystem disorder extensively studied for being the leading cause of maternal mortality in Colombia and the world. Previous research has shown the association of certain genes in this disease, and even found differential methylation patterns in some of these repeated sequences and those around them. The purpose of this study was to quantify the interaction of genes associated data from DNA microarray experiments in preeclamptic placentas. Basic procedures: Using 3.1 Cytoscape program, a network of gene expression was constructed using z score values obtained from a microarray gene expression deposited in the database “Gene Expression Omnibus”. Additionally, the chromatin associated with these genes was characterized in carrying out a chromosome walk 100Kpb windows around each gene, using resources and Genome Browser Database National Center for Biotechnology Information. Main findings: a predominance of Alu, MIR, SINE and LINE sequences were found; however, no significant differences were found when comparing the upstream and downstream regions associated with each gene. The network showed the Ebi3, ENG, PVRL4, TGFB1, INHBA, FSTL3, HTRA1 and KRT19 genes, as highly expressed in preeclamptic placenta. Conclusions: The network ontological categories corroborated the association of these genes with preeclampsia. It can be inferred that differential expression of genes expressed in preeclamptic placenta becomes discriminatory diagnostic criteria of pathology
dc.languagespa
dc.publisherRevista de la Asociación Colombiana de Ciencias Biológicas
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dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
dc.rightsDerechos Reservados - Asociación Colombiana de Ciencias Biológicas, 2014
dc.sourcehttps://www.revistaaccb.org/w/revista/revista-accb-2014/
dc.titleComplejidad y construcción de una red de genes asociados a preeclampsia
dc.typeArtículo de revista


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