07/2022 - Efficient precision genome editing of Chlamydomonas reinhardtii with CRISPR/Cas
CRISPR/Cas genome engineering in the unicellular green algal model Chlamydomonas reinhardtii has until now only been applied to targeted gene disruption, whereas scar-less knock-in transgenesis has generally been considered infeasible. We have developed highly efficient homology-directed knock-in mutagenesis in cell-walled strains of Chlamydomonas. Our method allows scarless integration of fusion tags and sequence modifications of near arbitrary proteins […]
07/2022 - Computational estimation of quality and clinical relevance of cancer cell lines
Immortal cancer cell lines (CCLs) are the most widely used system for investigating cancer biology and for the preclinical development of oncology therapies. Pharmacogenomic and genome-wide editing screenings have facilitated the discovery of clinically relevant gene–drug interactions and novel therapeutic targets via large panels of extensively characterised CCLs. However, tailoring pharmacological strategies in a precision […]
06/2022 - Forebrain Organoids to Model the Cell Biology of Basal Radial Glia in Neurodevelopmental Disorders and Brain Evolution
The acquisition of higher intellectual abilities that distinguish humans from their closest relatives correlates greatly with the expansion of the cerebral cortex. This expansion is a consequence of an increase in neuronal cell production driven by the higher proliferative capacity of neural progenitor cells, in particular basal radial glia (bRG). Furthermore, when the proliferation of […]
06/2022 - COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records
Background Updatable estimates of COVID-19 onset, progression, and trajectories underpin pandemic mitigation efforts. To identify and characterise disease trajectories, we aimed to define and validate ten COVID-19 phenotypes from nationwide linked electronic health records (EHR) using an extensible framework. Methods In this cohort study, we used eight linked National Health Service (NHS) datasets for people in England alive […]
06/2022 - Modelling time-varying covariates effect on survival via functional data analysis: application to the MRC BO06 trial in osteosarcoma
Time-varying covariates are of great interest in clinical research since they represent dynamic patterns which reflect disease progression. In cancer studies biomarkers values change as functions of time and chemotherapy treatment is modified by delaying a course or reducing the dose intensity, according to patient’s toxicity levels. In this work, a Functional covariate Cox Model […]
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