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08/2024 - An unbiased lncRNAs dropout CRISPR-Cas9 screen reveals RP11-350G8.5 as a novel therapeutic target for Multiple Myeloma

Key Points We unveiled 8 lncRNAs essential for Multiple Myeloma (MM) cell fitness and associated with poor prognosis and high expression in MM patients We identified lncRNA RP11-350G8.5 as a therapeutic target for MM and characterised its oncogenic role, molecular and structural features Multiple Myeloma (MM) is an incurable malignancy characterised by altered expression of […]

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08/2024 - COVID-19 vaccination and birth outcomes of 186,990 women vaccinated before pregnancy: an England-wide cohort study

Background COVID-19 vaccination in pregnancy is recommended by the World Health Organisation as effective and safe. However, there remains a lack of robust evidence to inform vaccination choices for women of childbearing potential in relation to their future pregnancies. Here we investigated the association between starting a course of COVID-19 vaccination before pregnancy and birth […]

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08/2024 - Trends in fetal alcohol spectrum disorder research: A bibliometric review of original articles published between 2000 and 2023

Fetal alcohol spectrum disorder (FASD) is a leading cause of neurodevelopmental disability globally. International organizations have highlighted an urgent need for improved prevention, diagnosis, and support. However, the evidence base needed to inform this is thought to be limited. We conducted two complementary reviews to (i) describe trends in the volume and characteristics of original […]

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08/2024 - The genomic landscape of 2,023 colorectal cancers

Colorectal carcinoma (CRC) is a common cause of mortality1, but a comprehensive description of its genomic landscape is lacking2,3,4,5,6,7,8,9. Here we perform whole-genome sequencing of 2,023 CRC samples from participants in the UK 100,000 Genomes Project, thereby providing a highly detailed somatic mutational landscape of this cancer. Integrated analyses identify more than 250 putative CRC […]

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07/2024 - A benchmark of computational methods for correcting biases of established and unknown origin in CRISPR-Cas9 screening data

Background CRISPR-Cas9 dropout screens are formidable tools for investigating biology with unprecedented precision and scale. However, biases in data lead to potential confounding effects on interpretation and compromise overall quality. The activity of Cas9 is influenced by structural features of the target site, including copy number amplifications (CN bias). More worryingly, proximal targeted loci tend […]

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