A study published in Nature on 22 July have decoded the genome of more than five hundred patients with leukaemia and have identified recurrent mutations in non-coding regions of the genome, which provides new clues to the development of cancer. This study is the first to complete the analysis of five hundred genomes within the International Cancer Genome Consortium (ICGC) and it most important finding is the identification of mutations in areas of the genome that do not code for proteins whose functional significance is still very little known. These regions represent 98% of our genome, but they are so little known that they are not usually analysed in patients. This study has enabled defining sixty genes whose mutations cause tumour development.
The study has been conducted by researchers Carlos López-Otín, of the University of Oviedo, and Elías Campo, from the IDIBAPS and the University of Barcelona. They coordinated a team of over sixty researchers working at centres belonging to the Spanish Chronic Lymphatic Leukaemia Genome Consortium, including Núria López Bigas, ICREA researcher and Head of the Biomedical Genomics Group of GRIB (IMIM-UPF), Carlota Rubio and David Tamborero, researchers of her team.
The symposium, organized by the Department of Experimental and Health Sciences (DCEXS) and the Research Programme on Biomedical Informatics-GRIB (IMIM-UPF) will be held on Tuesday, November 17th 2015, at the Barcelona Biomedical Research Park (PRBB) auditorium and will bring together leading researchers in the vibrant field of biomedical research, to explore new advances in in silico strategies.
The symposium is open to everybody interested in biomedical research, and there are no registration fees. However, the number of places available are limited so you are kindly asked to register here.
Do you have a poster? Present it at the symposium reception, you can win an iPad! Send an email with your abstract to email@example.com before the 15th of October.
The project MedBioinformatics "Creating medically-driven integrative bioinformatics applications focused on oncology, CNS disorders and their comorbidities" aims to develop useful bioinformatics tools and applications, and autonomously usable for analysing the huge amount of data and knowledge generated in healthcare and biomedical research in order to facilitate translational research and precision medicine. European project funded by H2020 for the period 2015-2018 and coordinated by the GRIB.