bioRxiv Science⌕ Search

Biology subjects

McGovern, S.

Publications and source records attributed to McGovern, S..

2 recordsLinked to original sources

Dnmt3bas regulates transcriptional induction and alternative splicing of Dnmt3b

During mammalian embryogenesis, DNMT3B activity is critical for the genome-wide establishment of DNA methylation. Using naive ESC differentiation as a model, we elucidated the mechanism by which lncRNA, Dnmt3bas, controls the inducible expression and alternative splicing of Dnmt3b. Our data showed that Dnmt3bas knockdown increased transcriptional induction and decreased H3K27me3 at Dnmt3b cis-regulatory elements post-differentiation. Notably, transcriptional induction of Dnmt3b was accompanied by exon inclusion, switching the major isoform from catalytically inactive Dnmt3b6 to the active Dnmt3b1. While Dnmt3bas overexpression attenuated Dnmt3b induction, it increased the Dnmt3b1:Dnmt3b6 ratio. This observation was explained by a specific interaction of Dnmt3bas with hnRNPL, which promotes exon inclusion. These data suggest that Dnmt3bas coordinates alternative splicing and transcriptional induction of Dnmt3b by facilitating the interaction of hnRNPL and RNA Pol II at the Dnmt3b promoter. This two-pronged mechanism would tightly control DNMT3B activity, ensuring the fidelity and specificity of de novo DNA methylation during development.

molecular biology↗

Fractional re-distribution among cell motility states during ageing

Ageing in humans is associated with a decreased capacity to regulate cell physiology. Cellular properties, such as cell morphology and cell mechanics, encode ageing information and as a result can be used as robust ageing biomarkers. Using a panel of dermal fibroblasts derived from healthy donors spanning a wide age range, we observe an age-related reduction in average cell motility, which we show is not due to the decreased motility of all cells, but results from fractional re-distribution among motility states. By taking advantage of the single-cell nature of our motility data, we show that cells can be classified based on spatial and activity patterns that define age-dependent motility states. These findings highlight an important feature of ageing cells shown by the decrease in the heterogeneity of cell movement in older adults, that potentially offer new mechanistic insights into the ageing process and avenues for novel biomarker development.

bioengineering↗