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Results for "piRNAi"

KAUST team explores short-term genetic memories

KAUST ·

A KAUST team developed piRNAi, a gene-silencing tool in nematode worms using synthetic RNA sequences interacting with the piRNA pathway. They successfully silenced genes involved in sex determination and other functions, demonstrating multiplexed gene silencing. The gene silencing lasted for varying durations across generations, up to six generations. Why it matters: This expands the molecular toolkit for gene manipulation and offers potential therapeutic applications in humans, given the presence of the same gene-silencing pathway.

Generative Artificial Intelligence in RNA Biology

MBZUAI ·

Researchers at the Rosalind Franklin Institute are using generative AI, including GANs, to augment limited biological datasets, specifically mirtron data from mirtronDB. The synthetic data created mimics real-world samples, facilitating more comprehensive training of machine learning models, leading to improved mirtron identification tools. They also plan to apply Large Language Models (LLMs) to predict unknown patterns in sequence and structure biology problems. Why it matters: This research explores AI techniques to tackle data scarcity in biological research, potentially accelerating discoveries in noncoding RNA and transposable elements.

RNA-based approach identified for treatment of premature aging and associated diseases

KAUST ·

KAUST researchers, in collaboration with the Salk Institute and Altos Labs, have identified a class of RNA (LINE-1) that, when compromised, leads to accelerated aging, as seen in progeria. They devised an antisense RNA strategy to block the aberrant function of L1 RNA, reversing the disease in mice and patient-derived cells. Published in Science Translational Medicine, the research suggests that targeting LINE-1 RNA could treat progeroid syndromes and other age-related diseases. Why it matters: This RNA-based approach provides a potential therapeutic avenue for treating premature aging diseases and extending human health span in the region and globally.

Collaborative Work on Stress-Tolerant Crop Plants

KAUST ·

KAUST professors Samir Hamdan and Nina Fedoroff collaborated on research published in Nucleic Acids Research focusing on microRNA (miRNA) biogenesis in plants. The study examined miRNA production in Arabidopsis thaliana and found that the protein SERRATE (SE) is integral to the processing of pri-miRNA by DCL1. They characterized the interactions of SE with RNA and DCL1, elucidating the mechanism by which SE promotes DCL1 activity. Why it matters: Understanding miRNA biogenesis could help modify crop plants to better tolerate stressful conditions, potentially increasing crop yields and productivity in the region.