Project description:The development of precision medicine strategies requires prior knowledge of the genetic background of the target population. However, despite the availability of data from admixed Americans within large reference population databases, we cannot use these data as a surrogate for that of the Brazilian population. This lack of transferability is mainly due to differences between ancestry proportions of Brazilian and other admixed American populations. To address the issue, a coalition of research centres created the Brazilian Initiative on Precision Medicine (BIPMed), an initiative of five Research Innovation and Dissemination Centers (RIDCs) supported by FAPESP.
Project description:The aim of this study was to perform a genomic profiling of gliomas of Brazilian origin, using array-CGH, MSI analysis and to associate the genomic alterations with TERT and IDH1 mutation status, and correlate the molecular features with clinicopathological characteristics.
Project description:MicroRNA-sequencing of the bone marrow samples from Brazilian pediatric patients with B-cell acute lymphoblastic leukemia (B-ALL) and T-cell acute lymphoblastic leukemia (T-ALL).
Project description:Herein, we aimed to analyze the gene expression profile of medulloblastoma samples from a Brazilian cohort of 17 pediatric patients.
Project description:Ependymoma (EPN) is the third most common central nervous system (CNS) tumor in childhood and, recently, has been classified in nine robust molecular subgroups (Pajtler et al., 2015). However, molecular and clinical features of pediatric EPNs from Brazilian cohorts remain unexplored. Herein, we aimed to analyze the gene expression profile among three different molecular subgroups: ST-EPN-RELA, ST-EPN-YAP1 and PF-EPN-A.
Project description:SNP array data from 13 Brazilian childhood adrenocortical tumors (ACTs) were analyzed to detect recurrent copy number changes and highlight potential candidate driver genes.
Project description:Samples of oil and production water were collected from five wells of the Qinghai Oilfield, China, and subjected to GeoChip hybridization experiments for microbial functional diversity profiling. Unexpectedly, a remarkable microbial diversity in oil samples, which was higher than that in the corresponding water samples, was observed, thus challenging previously believed assumptions about the microbial diversity in this ecosystem. Hierarchical clustering separated oil and water samples, thereby indicating distinct functional structures in the samples. Genes involved in the degradation of hydrocarbons, organic remediation, stress response, and carbon cycling were significantly abundant in crude oil, which is consistent with their important roles in residing in oil. Association analysis with environmental variables suggested that oil components comprising aromatic hydrocarbons, aliphatic hydrocarbons, and a polar fraction with nitrogen-, sulfur-, and oxygen-containing compounds were mainly influential on the structure of the microbial community. Furthermore, a comparison of microbial communities in oil samples indicated that the structures were depth/temperature-dependent. To our knowledge, this is the first thorough study to profile microbial functional diversity in crude oil samples. From the Qinghai Oilfield located in the Tibetan Plateau, northwest China, oil production mixtures were taken from four oil production wells (No. 813, 516, 48 and 27) and one injection well (No. 517) in the Yue-II block. The floating oil and water phases of the production mixtures were separated overnight by gravitational separation. Subsequently, the microbial community and the characteristics of the water solution (W813, W516, W48, and W27) and floating crude oil (O813, O516, O48, and O27) samples were analyzed. A similar analysis was performed with the injection water solution (W517).