Publications by authors named "A D Self"
Ionizable lipids are a key component of lipid nanoparticles, the leading nonviral messenger RNA delivery technology. Here, to advance the identification of ionizable lipids beyond current methods, which rely on experimental screening and/or rational design, we introduce lipid optimization using neural networks, a deep-learning strategy for ionizable lipid design. We created a dataset of >9,000 lipid nanoparticle activity measurements and used it to train a directed message-passing neural network for prediction of nucleic acid delivery with diverse lipid structures.
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- The study investigates how the methyltransferase EZH2 is influenced by both chemical signals like TGF-β1 and mechanical signals from stiff environments, impacting gene expression and potentially advancing cancer and fibrosis.
- Cells cultured on stiff surfaces along with TGF-β1 show increased EZH2 movement to the nucleus and higher levels of a specific histone modification (H3K27me3), which is crucial for regulating gene expression and inducing changes linked to epithelial-mesenchymal transition (EMT).
- The research suggests that the activity of EZH2 relies on cellular contractility pathways involving Rho-associated kinase (ROCK) and myosin II, highlighting a way that stiffness and TGF-β1 work together to
Achieving net-zero climate targets requires some level of carbon dioxide removal. Current assessments focus on tonnes of CO removed, without specifying what form these removals will take. Here, we show that countries' climate pledges require approximately 1 (0.
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