RESUMO
BACKGROUND: Psoriasis is complex inflammatory skin pathology of autoimmune origin. Several cell types are perturbed in this pathology, and underlying signaling events are complex and still poorly understood. RESULTS: In order to gain insight into molecular machinery underlying the disease, we conducted a comprehensive meta-analysis of proteomics and transcriptomics of psoriatic lesions from independent studies. Network-based analysis revealed similarities in regulation at both proteomics and transcriptomics level. We identified a group of transcription factors responsible for overexpression of psoriasis genes and a number of previously unknown signaling pathways that may play a role in this process. We also evaluated functional synergy between transcriptomics and proteomics results. CONCLUSIONS: We developed network-based methodology for integrative analysis of high throughput data sets of different types. Investigation of proteomics and transcriptomics data sets on psoriasis revealed versatility in regulatory machinery underlying pathology and showed complementarities between two levels of cellular organization.
Assuntos
Perfilação da Expressão Gênica , Proteômica/métodos , Psoríase/metabolismo , Transcrição Gênica , Adulto , Biópsia , Feminino , Humanos , Inflamação , Masculino , Modelos Genéticos , Modelos Estatísticos , Análise de Sequência com Séries de Oligonucleotídeos , Pele/patologia , Biologia de SistemasRESUMO
A new strategy for creating experimental models for functional genomics has been proposed. It is based on the expression in transgenic plants of genes from thermophilic bacteria encoding functional analogues of plant proteins with high specific activity and thermal stability. We have validated this strategy by comparing physiological, biochemical and molecular properties of control tobacco plants and transgenic plants expressing genes of beta-glucanases with different substrate specificity. We demonstrate that the expression of bacterial beta-1,3-1,4-glucanase gene exerts no significant influence on tobacco plant metabolism, while the expression of bacterial beta-1,3-glucanase affects plant metabolism only at early stages of growth and development. By contrast, the expression of bacterial beta-1,4-glucanase has a significant effect on transgenic tobacco plant metabolism, namely, it affects plant morphology, the thickness of the primary cell wall, phytohormonal status, and the relative sugar content. We propose a hypothesis of beta-glucanase action as an important factor of genetic regulation of metabolic processes in plants.
