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dc.contributor.author Vicencio, Emiliano
dc.contributor.author Nuñez-Belmar, Josefa
dc.contributor.author Cardenas, Juan P.
dc.contributor.author Cortés, Bastian I.
dc.contributor.author Martin, Alberto J.M.
dc.contributor.author Maracaja-Coutinho, Vinicius
dc.contributor.author Rojas, Adolfo
dc.contributor.author Cafferata, Emilio A.
dc.contributor.author González-Osuna, Luis
dc.contributor.author Vernal, Rolando
dc.contributor.author Cortez, Cristian
dc.date.accessioned 2024-09-12T03:37:12Z
dc.date.available 2024-09-12T03:37:12Z
dc.date.issued 2023-10
dc.identifier.issn 1661-6596
dc.identifier.uri https://repositorio.uss.cl/handle/uss/11279
dc.description Publisher Copyright: © 2023 by the authors.
dc.description.abstract Periodontitis is a chronic inflammatory disease characterized by the progressive and irreversible destruction of the periodontium. Its aetiopathogenesis lies in the constant challenge of the dysbiotic biofilm, which triggers a deregulated immune response responsible for the disease phenotype. Although the molecular mechanisms underlying periodontitis have been extensively studied, the regulatory mechanisms at the transcriptional level remain unclear. To generate transcriptomic data, we performed RNA shotgun sequencing of the oral mucosa of periodontitis-affected mice. Since genes are not expressed in isolation during pathological processes, we disclose here the complete repertoire of differentially expressed genes (DEG) and co-expressed modules to build Gene Regulatory Networks (GRNs) and identify the Master Transcriptional Regulators of periodontitis. The transcriptional changes revealed 366 protein-coding genes and 42 non-coding genes differentially expressed and enriched in the immune response. Furthermore, we found 13 co-expression modules with different representation degrees and gene expression levels. Our GRN comprises genes from 12 gene clusters, 166 nodes, of which 33 encode Transcription Factors, and 201 connections. Finally, using these strategies, 26 master regulators of periodontitis were identified. In conclusion, combining the transcriptomic analyses with the regulatory network construction represents a powerful and efficient strategy for identifying potential periodontitis-therapeutic targets. en
dc.language.iso eng
dc.relation.ispartof vol. 24 Issue: no. 19 Pages:
dc.source International Journal of Molecular Sciences
dc.title Transcriptional Signatures and Network-Based Approaches Identified Master Regulators Transcription Factors Involved in Experimental Periodontitis Pathogenesis en
dc.type Artículo
dc.identifier.doi 10.3390/ijms241914835
dc.publisher.department Facultad de Ingeniería y Tecnología
dc.publisher.department Facultad de Ingeniería, Arquitectura y Diseño


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