How APOE4 affects human brain in Alzheimer’s disease
Apolipoprotein E (APOE) is a small protein encoded by the APOE gene regulating lipid homeostasis in mammals. The e4 variant of the APOE gene (APOE4) is associated with an increased risk of developing Alzheimer’s disease (AD) in mammals. A Nature study co-authored by Jose Davila-Velderrain reveals cell-type specific effects of APOE4 on cholesterol metabolism and […]
Measuring chromatin compaction with FRET-FISH
DNA intercalating dyes and massively sequencing techniques are traditionally used to study nuclear chromatin compaction. These tools, however, do not allow for direct measurement of chromatin compaction of individual loci. Nicola Crosetto and Magda Bienko combine fluorescence resonance energy transfer (FRET) with DNA fluorescence in situ hybridization (FISH) to assess the level of chromatin compaction […]
Exploring The ‘Dark Matter’ Of Colorectal Cancer
An international study co-ordinated by Andrea Sottoriva, Head of Human Technopole’s Computational Biology Research Centre, together with researchers from the Institute for Cancer Research (ICR) in London, reveals that key changes that explain mechanistic aspects of the onset and development of intestinal tumours come not only from genetic mutations, but also from so-called ‘epigenetics’ and […]
From risk to resilience in mental health and developmental diversity
World-leading interdisciplinary research groups have committed to provide innovative approaches to improve the quality of life of individuals with neurodevelopmental disorders Paris, 25th October 2022 The consortium of the EU-funded project Risk and Resilience in Developmental Diversity and Mental Health (R2D2-MH) is kicking-off today in Paris. 26 European and associated partners (Australia, Canada and Israel) […]
Bridging Artificial Intelligence and Machine Learning with bioimage analysis
The AI4Life project launched today, marks an exciting chapter in the computational and life science research communities. The €4 million Horizon Europe funded project aims to create accessible, harmonized, and interoperable AI tools and methods for solving today’s microscopy image analysis problems. The gap Machine learning (ML) has accelerated frontier research in the life sciences, […]