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gene regulation
Trends
- 1Epigenetic Editing Moves Closer to Clinical Use▼Epigenetic Editing Steps Closer to the Clinic as Bioengineering Tools Mature
Epigenetic editing, which alters gene activity without changing DNA sequence, is reportedly approaching clinical application as bioengineering tools mature. Advances in gene-regulation technologies are making it feasible to target epigenetic marks precisely, opening the door to therapies for diseases rooted in gene expression rather than genetic mutations. The development signals a shift from laboratory research toward translational medicine, with researchers watching how safety and delivery challenges are addressed.
- 2CRISPR-Edited Plants Need a Sustainable Innovation System▼CRISPR Beyond the Lab: Why Genome-Edited Plants Need a Sustainable Innovation System
Commentary argues that CRISPR genome-edited plants must move beyond laboratory success into a broader sustainable innovation system covering regulation, farming practice and commercialisation. The piece stresses that editing crops is only one step; lasting impact depends on infrastructure, policy and responsible deployment in agriculture.
- 3New Tool Decodes Ancient Viral Fossils in Human Genome▼Ancient Viral Fossils Decoded: New Tool untangles the Human Genome’s Endogenous Retroviruses
Researchers have unveiled a new computational tool that disentangles endogenous retroviruses, the remnants of ancient viral infections embedded in human DNA. These 'viral fossils' make up a large share of the genome and have been linked to gene regulation, development and disease. The tool promises clearer mapping of these sequences, a step forward for genomics and evolutionary biology.
- 4Machine Learning Reveals Hidden Gene Switches in Fungi▼Machine Learning Hunts Down Hidden Gene Switches Across the Fungal Tree of Life
Researchers are using machine learning to identify previously unknown gene regulatory switches across the fungal tree of life, according to a new report. The approach could help scientists understand how fungi control gene expression in different species, with potential applications in biotechnology, medicine, and agriculture. The work highlights how AI tools are increasingly being applied to comparative genomics and biology.