Transcriptional Signatures and Network-Based Approaches Identified Master Regulators Transcription Factors Involved in Experimental Periodontitis Pathogenesis

<i>Periodontitis</i> 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 diseas...

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Main Authors: Emiliano Vicencio, Josefa Nuñez-Belmar, Juan P. Cardenas, Bastian I. Cortés, Alberto J. M. Martin, Vinicius Maracaja-Coutinho, Adolfo Rojas, Emilio A. Cafferata, Luis González-Osuna, Rolando Vernal, Cristian Cortez
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:International Journal of Molecular Sciences
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Online Access:https://www.mdpi.com/1422-0067/24/19/14835
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author Emiliano Vicencio
Josefa Nuñez-Belmar
Juan P. Cardenas
Bastian I. Cortés
Alberto J. M. Martin
Vinicius Maracaja-Coutinho
Adolfo Rojas
Emilio A. Cafferata
Luis González-Osuna
Rolando Vernal
Cristian Cortez
author_facet Emiliano Vicencio
Josefa Nuñez-Belmar
Juan P. Cardenas
Bastian I. Cortés
Alberto J. M. Martin
Vinicius Maracaja-Coutinho
Adolfo Rojas
Emilio A. Cafferata
Luis González-Osuna
Rolando Vernal
Cristian Cortez
author_sort Emiliano Vicencio
collection DOAJ
description <i>Periodontitis</i> 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.
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spelling doaj.art-0024afa436fa4e10863501ac5fce2a4e2023-11-19T14:31:25ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672023-10-0124191483510.3390/ijms241914835Transcriptional Signatures and Network-Based Approaches Identified Master Regulators Transcription Factors Involved in Experimental Periodontitis PathogenesisEmiliano Vicencio0Josefa Nuñez-Belmar1Juan P. Cardenas2Bastian I. Cortés3Alberto J. M. Martin4Vinicius Maracaja-Coutinho5Adolfo Rojas6Emilio A. Cafferata7Luis González-Osuna8Rolando Vernal9Cristian Cortez10Escuela de Tecnología Médica, Facultad de Ciencias, Pontificia Universidad Católica de Valparaíso, Valparaíso 2373223, ChileCentro de Genómica y Bioinformática, Facultad de Ciencias, Ingeniería y Tecnología, Universidad Mayor, Santiago 8580745, ChileCentro de Genómica y Bioinformática, Facultad de Ciencias, Ingeniería y Tecnología, Universidad Mayor, Santiago 8580745, ChileDepartamento de Biología Celular y Molecular, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago 8331150, ChileLaboratorio de Redes Biológicas, Centro Científico y Tecnológico de Excelencia Ciencia & Vida, Fundación Ciencia & Vida, Santiago 7780272, ChileCentro de Modelamiento Molecular, Biofísica y Bioinformática, Facultad de Ciencias Químicas y Farmacéuticas, Universidad de Chile, Santiago 8380492, ChileCentro de Modelamiento Molecular, Biofísica y Bioinformática, Facultad de Ciencias Químicas y Farmacéuticas, Universidad de Chile, Santiago 8380492, ChileLaboratorio de Biología Periodontal, Facultad de Odontología, Universidad de Chile, Santiago 8380492, ChileLaboratorio de Biología Periodontal, Facultad de Odontología, Universidad de Chile, Santiago 8380492, ChileLaboratorio de Biología Periodontal, Facultad de Odontología, Universidad de Chile, Santiago 8380492, ChileEscuela de Tecnología Médica, Facultad de Ciencias, Pontificia Universidad Católica de Valparaíso, Valparaíso 2373223, Chile<i>Periodontitis</i> 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.https://www.mdpi.com/1422-0067/24/19/14835periodontitischronic inflammationgene expressiontranscriptomegene regulatory networksmaster regulators transcription factors
spellingShingle Emiliano Vicencio
Josefa Nuñez-Belmar
Juan P. Cardenas
Bastian I. Cortés
Alberto J. M. Martin
Vinicius Maracaja-Coutinho
Adolfo Rojas
Emilio A. Cafferata
Luis González-Osuna
Rolando Vernal
Cristian Cortez
Transcriptional Signatures and Network-Based Approaches Identified Master Regulators Transcription Factors Involved in Experimental Periodontitis Pathogenesis
International Journal of Molecular Sciences
periodontitis
chronic inflammation
gene expression
transcriptome
gene regulatory networks
master regulators transcription factors
title Transcriptional Signatures and Network-Based Approaches Identified Master Regulators Transcription Factors Involved in Experimental Periodontitis Pathogenesis
title_full Transcriptional Signatures and Network-Based Approaches Identified Master Regulators Transcription Factors Involved in Experimental Periodontitis Pathogenesis
title_fullStr Transcriptional Signatures and Network-Based Approaches Identified Master Regulators Transcription Factors Involved in Experimental Periodontitis Pathogenesis
title_full_unstemmed Transcriptional Signatures and Network-Based Approaches Identified Master Regulators Transcription Factors Involved in Experimental Periodontitis Pathogenesis
title_short Transcriptional Signatures and Network-Based Approaches Identified Master Regulators Transcription Factors Involved in Experimental Periodontitis Pathogenesis
title_sort transcriptional signatures and network based approaches identified master regulators transcription factors involved in experimental periodontitis pathogenesis
topic periodontitis
chronic inflammation
gene expression
transcriptome
gene regulatory networks
master regulators transcription factors
url https://www.mdpi.com/1422-0067/24/19/14835
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