Project description:Genome-wide methylation profiling on 15 Father-Mother-Offspring trios with Genetic Generalized Epilepsies. All trios have 2 affected (1 parent and offspring) and 1 healthy individuals. Illumina HumanMethylation450 BeadChip was used to obtain DNA methylation profiles which has probes for aproximetely 450000 CpG loci.
Project description:We used NGS on a cohort of complex genetics sarcomas to study their transcriptomes (RNA-seq technology), looking for recurrent and specific gene fusions. We identified multiple TRIO fusions with different partners in our cohort. No TRIO fusions were reported in negative-control cells (normal tissues) and in simple genetics sarcomas.
Project description:Purpose Identification of potential biomarkers of seizures. Methods In this exploratory study, we quantified plasma protein intensities in 15 patients with recent seizures compared to 15 patients with long-standing seizure freedom. Using TMT-based proteomics we found fifty-one differentially expressed proteins. Results Network analyses including co-expression networks and protein-protein interaction networks, using the STRING database, followed by network centrality and modularity analyses revealed 22 protein modules, with one module showing a significant association with seizures. The protein-protein interaction network centered around this module identified a subnetwork of 125 proteins, grouped into four clusters. Notably, one cluster (mainly enriching inflammatory pathways and Gene Ontology terms) demonstrated the highest enrichment of known epilepsy-related genes. Conclusion Overall, our network-based approach identified a protein module linked with seizures. The module contained known markers of epilepsy and inflammation. The results also demonstrate the potential of network analysis in discovering new biomarkers for improved epilepsy management.
Project description:DNA methylation profiling has emerged as a valuable tool for tumor classification, exemplified by the German Cancer Research Center's creation of online classifiers for CNS tumors and sarcomas. Identification of rare molecular events, such as TRIO::TERT fusion in undifferentiated sarcomas, through DNA methylation profiling and transcriptome analysis aims to define distinct molecular subgroups within sarcomas of uncertain diagnosis, potentially improving classification and treatment strategies.In this study, we present 8 cases of sarcomas characterized by TRIO::TERT fusion, establishing it as a distinct molecular subtype of sarcomas. This fusion represents a consistent molecular feature across all analyzed tumors, suggesting its pivotal role in sarcomatogenesis. Identifying TRIO::TERT transcript sarcoma as a new tumor type may enhance diagnostic strategies for improved patient management.