Publications by authors named "M Fratelli"

The Cornelia de Lange syndrome (CdLS) is a rare genetic disease, which is characterized by a cohesinopathy. Mutations of the NIPBL gene are observed in 65% of CdLS patients. A novel iPSC (induced Pluripotent Stem Cell) line was reprogrammed from the leukocytes of a CdLS patient carrying a missense mutation of the NIPBL gene.

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Background: Many interventions, especially those linked to open science, have been proposed to improve reproducibility in science. To what extent these propositions are based on scientific evidence from empirical evaluations is not clear.

Aims: The primary objective is to identify Open Science interventions that have been formally investigated regarding their influence on reproducibility and replicability.

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Background: Since the beginning of the anti-COVID-19 vaccination campaign, it has become evident that vaccinated subjects exhibit considerable inter-individual variability in the response to the vaccine that could be partly explained by host genetic factors. A recent study reported that the immune response elicited by the Oxford-AstraZeneca vaccine in individuals from the United Kingdom was influenced by a specific allele of the human leukocyte antigen gene HLA-DQB1.

Methods: We carried out a genome-wide association study to investigate the genetic determinants of the antibody response to the Pfizer-BioNTech vaccine in an Italian cohort of 1351 subjects recruited in three centers.

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Article Synopsis
  • - The EOSC-Life consortium aims to enhance data reuse and sustainability in life sciences through collaborative efforts among 13 European research infrastructures, focusing on large-scale and computational research.
  • - Key barriers to sustainability identified include organisational, technical, financial, and legal/ethical challenges, which need to be addressed to improve resource management.
  • - The initiative advocates for adhering to FAIR principles and promotes data harmonisation and cross-disciplinary training, leading to better interoperability of tools and data in life science research.
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Background: Personalised medicine is a medical model that aims to provide tailor-made prevention and treatment strategies for defined groups of individuals. The concept brings new challenges to the translational step, both in clinical relevance and validity of models. We have developed a set of recommendations aimed at improving the robustness of preclinical methods in translational research for personalised medicine.

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