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Biology subjects

Gadaleta, E.

Publications and source records attributed to Gadaleta, E..

2 recordsLinked to original sources

Coenzyme A homeostasis regulates hypoxic signalling via UBFD1in triple-negative breast cancer

Hypoxia-inducible factors (HIFs) orchestrate cellular responses to oxygen deprivation and are frequently activated in triple-negative breast cancer (TNBC), driving metastasis and poor prognosis1,2. However, the full mechanisms of how HIFs are activated are not completely understood. It has been long noted that certain tumours have decreased levels of coenzyme A compared to surrounding tissues3,4, but the functional consequences of this remain unknown. Here, we identify Coenzyme A Synthase (CoAsy) as a novel regulator of HIF signalling. We demonstrate that CoAsy loss stabilises HIF-1 and HIF-2 independently of the canonical oxygen sensing pathway. Proximity-labelling proteomics revealed that CoAsy deficiency disrupts the association between HIF-1 and the proteasome through UBFD1, a novel CoA-binding protein that scaffolds HIF for degradation. UBFD1s CoA-dependent interaction with HIF- is mediated by its PH domain, which undergoes CoAlation, an understudied post-translational modification. COASY loss of heterozygosity occurs in [~]1/3 of breast cancer patients and correlates with increased HIF activity, lack of hormone receptor expression and poor patient outcome. In vivo studies confirm that restoring CoAsy expression in tumours suppresses metastasis to the lung. These findings uncover a critical metabolic checkpoint regulating hypoxic signalling and identify CoAsy as a potential biomarker and therapeutic target in aggressive breast cancers.

molecular biology↗

SNPnexus COVID: Facilitating the analysis of COVID-19 host genetics

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has demanded an unprecedented scientific response, with researchers collaborating on a global scale to better understand how host genetics can influence susceptibility to coronavirus infection and the severity of COVID-19 symptoms. The number of projects directed towards sequencing patients genomes has increased rapidly during this time with the rate of data generation outpacing the resources available for analysis and biological interpretation of these datasets. SNPnexus COVID is a cutting-edge web-based analytical platform that allows researchers to analyse and interpret the functional implications of genetic variants in COVID-19 patient genomes and to prioritise those that demonstrate clinical utility for the prevention, management and/or treatment of COVID-19. Our resource links to diverse multifactorial datasets and information resources that would require substantial time and computational power to otherwise mine independently. This streamlines biological data interpretation and allows researchers to better understand the multidimensional characteristics of their data. Importantly, SNPnexus COVID is powered by the SNPnexus software and follows its intuitive infrastructure, which precludes the need for programmatic experience in its users. SNPnexus COVID is freely available at https://www.snp-nexus.org/v4/covid/

genomics↗