VIII Congreso Internacional de Investigación REDU
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Publicado el 25 de abril de 2022 | http://doi.org/10.5867/Medwave.2022.S1.CI21
Utilidad en Genética de las Redes de Interacción Molecular y Rutas biológicas mediante el uso de herramientas bioinformáticas
Utility in Genetics of Molecular Interaction Networks and Biological Pathways through the usage of bioinformatic tools
Cristian Fernando Galarza Galarza , Cinthia Katherine Galarza Galarza, Luis Felipe Varela Polit
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Palabras clave
Redes de Interacción Molecular, Interacción Proteína-Proteína, Genética
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Introducción
Studying protein-protein interactions (PPI) is important, through study it is possible to understand how it affects gene repression in different scenarios or how gene expression processes are affected when a certain drug is applied.
The interconnection of information within the biological network is represented in bioinformatics tools for its study, in which the nodes, axes and their interactions can be analyzed. These have the particularity of being unevenly distributed, within networks some nodes act as concentrators, this means that they have a high degree of connection, which in practice allows us to identify satellite genes.
The structure and dynamics of networks are independent of size, in such a way that the probability that a node in the network connects with others follows an exponential relationship considering the number of nodes in the network.
Objetivos
To familiarize with the management and visualization of Molecular Interaction Networks, learn to calculate relevant topological parameters, creating an overview of network analysis and, above all, the functionalities that these analyzes offer.
Método
For the biological network the file galFiltered.sif is used, for the attributes the file galExpData.csv is used. These files contain information on yeast GAL gene expression data from transcriptional regulation studies.
The files have eight columns, the first two describe characteristics that identify the gene, the next six represent three different experimental conditions (gal1R, gal4R, gal80R) in each of them the expression of a particular gene has been repressed gal1, gal4 and gal80 respectively. Therefore, each condition has two columns, one for the eigenvalue of expression and the other for the significance value.
Other parameters in the tool allow to visualize the network with characteristics such as color of the nodes to represent repression or overexpression of genes, as well as to observe clusters of genes that have common characteristics, to see the characterization of expression or overexpression.
Principales Resultados
We visualize the biological network with its components, the expression network of the GAL4 and GAL11 gene regulation subnetwork resulting from the application of the different experimental cases analyzed by repressing Gal1, Gal4, Gal80 respectively.
We visualize differentially expressed genes by applying the Hierarchical Cluster algorithm as well as the K-means Cluster algorithm, with these results we can verify that the differentially expressed genes coincide.
Conclusiones
The detection and analysis of PPI or DNA-Protein interactions is very important since it offers the possibility of finding gene expression pathways, which is very important for the detection of diseases, as well as to determine harmful reactions of the body to drugs, among other.
In extensive biological networks, the application of filters improves the visualization of areas that are important for the study, given that by limiting the observation of the data, it is possible to focus on the most important characteristics of the same.
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