Project description:The recent incorporation of molecular features into the diagnosis of Glioblastoma Multiforme patients has led to an improved categorisation into different tumour subtypes with different prognosis and disease management. In this work, we have exploited the benefits of genome-wide multiomic approaches to identify potential molecular vulnerabilities existing on GBM patients. We used the Illumina MethylationEPIC Beadchip platform to describe the genome-wide 5mC and 5hmC DNA methylation landscape of a total of 9 patient-derived Glioblastoma Multiforme Cell lines obtained from the human glioblastoma cell culture resource (HGCC) and 4 brain samples obtained from non-tumoral controls
Project description:This project investigates the survival strategies of organohalide-respiring bacteria in oligotrophic environments, focusing on their mechanisms of energy acquisition through humins oxidation. The research aims to uncover the metabolic adaptability of bacteria in resource-limited settings, providing new insights into microbial survival strategies under extreme conditions. It may also have significant implications for bioremediation and environmental pollution management.
Project description:The clinical management of colorectal cancer patients has significantly improved due to the identification of new chemotherapeutic targets. Since rapid tumor proliferation is associated with poor patient prognosis, here we characterize the transcriptional signature of rapidly proliferating colorectal cancer cells in an attempt to identify novel candidate therapeutic targets. Therefore, the doubling time of 52 colorectal cancer cell lines was determined and genome-wide expression profiling of a subset of 31 of these cell lines was assessed by microarray analysis.
Project description:This study addresses this gap by conducting a direct comparison of eight platforms, representing both affinity-based and diverse mass spectrometry approaches, and covering over 13,000 proteins. By applying these platforms to the same cohort, we systematically assess their performance, identifying key differences and complementary strengths. Our findings offer valuable insights for researchers, highlighting trade-offs in coverage and their implications for biomarker discovery and clinical applications. This study serves as an essential resource, offering both technical evaluation and biological insights to support the development of novel diagnostics and therapeutics through plasma proteomics.
Project description:This study addresses this gap by conducting a direct comparison of eight platforms, representing both affinity-based and diverse mass spectrometry approaches, and covering over 13,000 proteins. By applying these platforms to the same cohort, we systematically assess their performance, identifying key differences and complementary strengths. Our findings offer valuable insights for researchers, highlighting trade-offs in coverage and their implications for biomarker discovery and clinical applications. This study serves as an essential resource, offering both technical evaluation and biological insights to support the development of novel diagnostics and therapeutics through plasma proteomics.
Project description:This study addresses this gap by conducting a direct comparison of eight platforms, representing both affinity-based and diverse mass spectrometry approaches, and covering over 13,000 proteins. By applying these platforms to the same cohort, we systematically assess their performance, identifying key differences and complementary strengths. Our findings offer valuable insights for researchers, highlighting trade-offs in coverage and their implications for biomarker discovery and clinical applications. This study serves as an essential resource, offering both technical evaluation and biological insights to support the development of novel diagnostics and therapeutics through plasma proteomics.
Project description:This study addresses this gap by conducting a direct comparison of eight platforms, representing both affinity-based and diverse mass spectrometry approaches, and covering over 13,000 proteins. By applying these platforms to the same cohort, we systematically assess their performance, identifying key differences and complementary strengths. Our findings offer valuable insights for researchers, highlighting trade-offs in coverage and their implications for biomarker discovery and clinical applications. This study serves as an essential resource, offering both technical evaluation and biological insights to support the development of novel diagnostics and therapeutics through plasma proteomics.
Project description:This study addresses this gap by conducting a direct comparison of eight platforms, representing both affinity-based and diverse mass spectrometry approaches, and covering over 13,000 proteins. By applying these platforms to the same cohort, we systematically assess their performance, identifying key differences and complementary strengths. Our findings offer valuable insights for researchers, highlighting trade-offs in coverage and their implications for biomarker discovery and clinical applications. This study serves as an essential resource, offering both technical evaluation and biological insights to support the development of novel diagnostics and therapeutics through plasma proteomics.