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
12 resultados
Resultados de Busca
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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, MagdaconferenceObject 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
conferenceObject MODULAR TRANSCRIPTIONAL REPERTOIRE AND microRNA-TARGET ANALYSES IN THYMIC TISSUE OF DOWN SYNDROME INFANTS(2015) MOREIRA-FILHO, Carlos Alberto; BANDO, Silvia Yumi; BERTONHA, Fernanda Bernardi; SILVA, Filipi Nascimento; COSTA, Luciano da Fontoura; FEREIRA, Leandro Rodrigues; CARNEIRO-SAMPAIO, Magda- Gene expression alterations in the postmortem hippocampus from older patients with bipolar disorder-A hypothesis generating study(2023) NASCIMENTO, Camila; KIM, Helena Kyunghee; NUNES, Paula Villela; LEITE, Renata Elaine Paraiso; CRISTINA, De Oliveira Katia; BARBOSA, Andre; BERTONHA, Fernanda Bernardi; MOREIRA-FILHO, Carlos Alberto; JACOB-FILHO, Wilson; NITRINI, Ricardo; PASQUALUCCI, Carlos A.; GRINBERG, Lea Tenenholz; SUEMOTO, Claudia Kimie; BRENTANI, Helena Paula; LAFER, BenyBipolar disorder (BD) presents with a progressive course in a subset of patients. However, our knowledge of molecular changes in older BD is limited. In this study, we examined gene expression changes in the hippocampus of BD from the Biobank of Aging Studies to identify genes of interest that warrant further exploration. RNA was extracted from the hippocampus from 11 subjects with BD and 11 age and sex-matched controls. Gene expression data was generated using the SurePrint G3 Human Gene Expression v3 microarray. Rank feature selection was performed to identify a subset of features that can optimally differentiate BD and controls. Genes ranked in the top 0.1% with log2 fold change >1.2 were identified as genes of interest. Average age of the subjects was 64 years old; duration of disease was 21 years and 82% were female. Twenty-five genes were identified, of which all but one was downregulated in BD. Of these, CNTNAP4, MAP4, SLC4A1, COBL, and NEURL4 had been associated with BD and other psychiatric conditions in previous studies. We believe our findings have identified promising targets to inform future studies aiming to understand the pathophysiology of BD in later life.
conferenceObject Modular Transcriptional Repertoire Analysis in Down Syndrome Thymus(2014) MOREIRA-FILHO, C.; BANDO, S. Y.; BERTONHA, F. B.; SILVA, F. N.; COSTA, L. D. A. F.; CARNEIRO-SAMPAIO, M.