FERNANDA BERNARDI BERTONHA
Projetos de Pesquisa
Unidades Organizacionais
Departamento de Pediatria, Faculdade de Medicina
LIM/36 - Laboratório de Pediatria Clínica, Hospital das Clínicas, Faculdade de Medicina
LIM/36 - Laboratório de Pediatria Clínica, Hospital das Clínicas, Faculdade de Medicina
23 resultados
Resultados de Busca
Agora exibindo 1 - 10 de 23
- Age-related transcriptional modules and TF-miRNA-mRNA interactions in neonatal and infant human thymus(2020) BERTONHA, Fernanda Bernardi; BANDO, Silvia Yumi; FERREIRA, Leandro Rodrigues; CHACCUR, Paulo; VINHAS, Christiana; ZERBINI, Maria Claudia Nogueira; CARNEIRO-SAMPAIO, Magda Maria; MOREIRA-FILHO, Carlos AlbertoThe human thymus suffers a transient neonatal involution, recovers and then starts a process of decline between the 1st and 2nd years of life. Age-related morphological changes in thymus were extensively investigated, but the genomic mechanisms underlying this process remain largely unknown. Through Weighted Gene Co-expression Network Analysis (WGCNA) and TF-miRNA-mRNA integrative analysis we studied the transcriptome of neonate and infant thymic tissues grouped by age: 0-30 days (A); 31 days-6 months (B); 7-12 months (C); 13-18 months (D); 19-31 months (E). Age-related transcriptional modules, hubs and high gene significance (HGS) genes were identified, as well as TF-miRNA-hub/HGS co-expression correlations. Three transcriptional modules were correlated with A and/or E groups. Hubs were mostly related to cellular/metabolic processes; few were differentially expressed (DE) or related to T-cell development. Inversely, HGS genes in groups A and E were mostly DE. In A (neonate) one third of the hyper-expressed HGS genes were related to T-cell development, against one-twentieth in E, what may correlate with the early neonatal depletion and recovery of thymic T-cell populations. This genomic mechanism is tightly regulated by TF-miRNA-hub/HGS interactions that differentially govern cellular and molecular processes involved in the functioning of the neonate thymus and in the beginning of thymic decline.
- Age-related transcriptional modules and TF-miRNA-mRNA interactions in neonatal and infant human thymus (vol 15, e0227547, 2020)(2020) BERTONHA, F. B.; BANDO, S. Y.; FERREIRA, L. R.; CHACCUR, P.; VINHAS, C.; ZERBINI, M. C. N.
conferenceObject TRISOMY 21-DRIVEN GENE EXPRESSION DYSREGULATION IN HUMAN THYMUS: CONVERGING GENOMIC AND EPIGENOMIC MECHANISMS(2016) MOREIRA-FILHO, Carlos Alberto; BANDO, Silvia Yumi; BERTONHA, Fernanda Bernardi; SILVA, Filipi Nascimento; COSTA, Luciano da Fontoura; FEREIRA, Leandro Rodrigues; CARNEIRO-SAMPAIO, Magda- Hippocampal CA3 transcriptional modules associated with granule cell alterations and cognitive impairment in refractory mesial temporal lobe epilepsy patients(2021) BANDO, Silvia Yumi; BERTONHA, Fernanda Bernardi; PIMENTEL-SILVA, Luciana Ramalho; OLIVEIRA, Joao Gabriel Mansano de; CARNEIRO, Marco Antonio Duarte; OKU, Mariana Hiromi Manoel; WEN, Hung-Tzu; CASTRO, Luiz Henrique Martins; MOREIRA-FILHO, Carlos AlbertoIn about a third of the patients with epilepsy the seizures are not drug-controlled. The current limitation of the antiepileptic drug therapy derives from an insufficient understanding of epilepsy pathophysiology. In order to overcome this situation, it is necessary to consider epilepsy as a disturbed network of interactions, instead of just looking for changes in single molecular components. Here, we studied CA3 transcriptional signatures and dentate gyrus histopathologic alterations in hippocampal explants surgically obtained from 57 RMTLE patients submitted to corticoamygdalohippocampectomy. By adopting a systems biology approach, integrating clinical, histopathological, and transcriptomic data (weighted gene co-expression network analysis), we were able to identify transcriptional modules highly correlated with age of disease onset, cognitive dysfunctions, and granule cell alterations. The enrichment analysis of transcriptional modules and the functional characterization of the highly connected genes in each trait-correlated module allowed us to unveil the modules' main biological functions, paving the way for further investigations on their roles in RMTLE pathophysiology. Moreover, we found 15 genes with high gene significance values which have the potential to become novel biomarkers and/or therapeutic targets in RMTLE.
conferenceObject Association of Hippocampal CA3 Transcriptional Modules with Language Impairment in Mesial Temporal Lobe Epilepsy(2017) MANSANO-OLIVEIRA, Joao; BANDO, Silvia; BERTONHA, Fernanda; CASTRO, Bettina; MESSAS, Cristiane; WEN, Hung-Tzu; MOREIRA-FILHO, Carlos; CASTRO, Luiz- Methods for Gene Co-expression Network Visualization and Analysis(2022) MOREIRA-FILHO, C. A.; BANDO, S. Y.; BERTONHA, F. B.; SILVA, F. N.; COSTA, L. D. F.Gene network analysis is an important tool for studying the changes in steady states that characterize cell functional properties, the genome-environment interplay, and the health-disease transitions. Moreover, gene co-expression and protein–protein interaction (PPI) data can be integrated with clinical, histopathological, and imaging information – a current practice in systems biology – leading, for instance, to the identification of unique and common drivers for disease conditions. In this chapter the fundamentals for gene co-expression network construction, visualization, and analysis are revised, emphasizing its scale-free nature, the measures that express its most relevant topological features, and methods for network validation. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2014, 2022.
conferenceObject Sexual Dimorphism and AIRE-AIRE Interactors-miRNA Coexpression Networks in the Infant Human Thymus(2019) BANDO, Silvia Y.; BERTONHA, Fernanda B.; OLIVEIRA, Lucila H. B.; MOREIRA-FILHO, Carlos Alberto; CARNEIRO-SAMPAIO, MagdaconferenceObject Complete Transcriptional Network Driven-View of Thymic Hypofunction in Down Syndrome(2014) MOREIRA-FILHO, Carlos Alberto; BANDO, Silvia Yumi; BERTONHA, Fernanda Bernardi; FEREIRA, Leandro Rodrigues; SILVA, Filipi Nascimento; COSTA, Luciano da Fontoura; GRASSI, Marcilia Sierro; CARNEIRO-SAMPAIO, Magdaarticle 16 Citação(ões) na Scopus Modular transcriptional repertoire and MicroRNA target analyses characterize genomic dysregulation in the thymus of Down syndrome infants(2016) MOREIRA-FILHO, Carlos Alberto; BANDO, Silvia Yumi; BERTONHA, Fernanda Bernardi; SILVA, Filipi Nascimento; COSTA, Luciano da Fontoura; FERREIRA, Leandro Rodrigues; FURLANETTO, Glaucio; CHACUR, Paulo; ZERBINI, Maria Claudia Nogueira; CARNEIRO-SAMPAIO, MagdaTrisomy 21-driven transcriptional alterations in human thymus were characterized through gene coexpression network (GCN) and miRNA-target analyses. We used whole thymic tissue - obtained at heart surgery from Down syndrome (DS) and karyotipically normal subjects (CT) - and a network-based approach for GCN analysis that allows the identification of modular transcriptional repertoires (communities) and the interactions between all the system's constituents through community detection. Changes in the degree of connections observed for hierarchically important hubs/genes in CT and DS networks corresponded to community changes. Distinct communities of highly interconnected genes were topologically identified in these networks. The role of miRNAs in modulating the expression of highly connected genes in CT and DS was revealed through miRNA-target analysis. Trisomy 21 gene dysregulation in thymus may be depicted as the breakdown and altered reorganization of transcriptional modules. Leading networks acting in normal or disease states were identified. CT networks would depict the ""canonical"" way of thymus functioning. Conversely, DS networks represent a ""non-canonical"" way, i. e., thymic tissue adaptation under trisomy 21 genomic dysregulation. This adaptation is probably driven by epigenetic mechanisms acting at chromatin level and through the miRNA control of transcriptional programs involving the networks' high-hierarchy genes.- PBMC of Recent-Onset Patients with Type 1 Diabetes Present a Differential Gene Expression Profile(2019) SANTOS, Aritania; CHEVILLARD, Christophe; GONFINETTI, Nelson; BERTONHA, Fernanda; MOREIRA-FILHO, Carlos; KALIL, Jorge; CUNHA-NETO, Edecio; SILVA, Maria Elizabeth
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