CARLOS ALBERTO MOREIRA FILHO
Projetos de Pesquisa
Unidades Organizacionais
Departamento de Pediatria, Faculdade de Medicina - Docente
LIM/36 - Laboratório de Pediatria Clínica, Hospital das Clínicas, Faculdade de Medicina - Líder
LIM/36 - Laboratório de Pediatria Clínica, Hospital das Clínicas, Faculdade de Medicina - Líder
2 resultados
Resultados de Busca
Agora exibindo 1 - 2 de 2
- 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.
- Transcriptomics of Neonatal and Infant Human Thymus(2022) MOREIRA-FILHO, C. A.; BANDO, S. Y.; BERTONHA, F. B.; CARNEIRO-SAMPAIO, M.Genomic studies on human thymic development, growth, and involution are crucially demanded for understanding the processes of immunosenescence and inflammaging. Age-related thymus decline is mainly associated with adaptative immune system malfunction, leading to autoimmunity and ineffective responses to infections. Thymic explants obtained at cardiac surgery constitute an asset for transcriptomic studies of human thymus at critical stages of organ growth and initial decline. This chapter deals with the interpretation of whole thymic tissue transcriptomic datasets using modular transcriptional analysis techniques and integrative mRNA–miRNA–transcription factor (TF) co-expression analysis. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2014, 2022.