Biology subjects

von Meyenn, F.

Publications and source records attributed to von Meyenn, F..

4 recordsLinked to original sources

bioRxiv2018

Bio-On-Magnetic-Beads (BOMB): Open platform for high-throughput nucleic acid extraction and manipulation

Current molecular biology laboratories rely heavily on the purification and manipulation of nucleic acids. Yet, commonly used centrifuge-and column-based protocols require specialised equipment, often use toxic reagents and are not economically scalable or practical to use in a high-throughput manner. Although it has been known for some time that magnetic beads can provide an elegant answer to these issues, the development of open-source protocols based on beads has been limited. In this article, we provide step-by-step instructions for an easy synthesis of functionalised magnetic beads, and detailed protocols for their use in the high-throughput purification of plasmids, genomic DNA and total RNA from different sources, as well as environmental TNA and PCR amplicons. We also provide a bead-based protocol for bisulfite conversion, and size selection of DNA and RNA fragments. Comparison to other methods highlights the capability, versatility and extreme cost-effectiveness of using magnetic beads. These open source protocols and the associated webpage (https://bomb.bio) can serve as a platform for further protocol customisation and community engagement.

molecular biology↗

bioRxiv2017

Epigenetic resetting of human pluripotency

Much attention has focussed on conversion of human pluripotent stem cells (PSC) to a more naive developmental status. Here we provide a method for resetting via transient histone deacetylase inhibition. The protocol is effective across multiple PSC lines and can proceed without karyotype change. Reset cells can be expanded without feeders with a doubling time of around 24 hours. WNT inhibition stabilises the resetting process. The transcriptome of reset cells diverges markedly from primed PSC and shares features with human inner cell mass (ICM). Reset cells activate expression of primate-specific transposable elements. DNA methylation is globally reduced to the level in the ICM but is non-random, with gain of methylation at specific loci. Methylation imprints are mostly lost, however. Reset cells can be re-primed to undergo tri-lineage differentiation and germline specification. In female reset cells, appearance of bi-allelic X-linked gene transcription indicates re-activation of the silenced X chromosome. On re-conversion to primed status, XIST-induced silencing restores monoallelic gene expression. The facile and robust conversion routine with accompanying data resources will enable widespread utilisation, interrogation, and refinement of candidate naive cells.

developmental biology↗

bioRxiv2017

A lncRNA/Lin28/Let7 Axis Coupled To DNA Methylation Fine Tunes The Dynamics Of A Cell State Transition

Execution of pluripotency requires progression from the naive status represented by mouse embryonic stem cells (ESCs) to a condition poised for lineage specification. This process is controlled at transcriptional, post-transcriptional and epigenetic levels and non-coding RNAs are contributors to this regulation complexity. Here we identify a molecular cascade initiated by a long non-coding RNA (lncRNA), Ephemeron (Epn), that modulates the dynamics of exit from naive pluripotency. Epn deletion delays the extinction of ESC identity, an effect mediated by perduring expression of the pivotal transcription factor Nanog. In the absence of Epn, Lin28a expression is reduced, resulting in an elevated level of Mirlet7g that suppresses de novo methyltransferases Dnmt3a/b. Dnmt3a/b deletion also retards exit from the ESC state, and is associated with delayed promoter methylation and slower down-regulation of Nanog. Altogether, our findings reveal a lncRNA/miRNA/DNA methylation axis that facilitates a timely stem cell state transition.

cell biology↗

bioRxiv2017

Multi-Tissue DNA Methylation Age Predictor In Mouse

BackgroundDNA-methylation changes at a discrete set of sites in the human genome are predictive of chronological and biological age. However, it is not known whether these changes are causative or a consequence of an underlying ageing process. It has also not been shown whether this epigenetic clock is unique to humans or conserved in the more experimentally tractable mouse.\n\nResultsWe have generated a comprehensive set of genome-scale base-resolution methylation maps from multiple mouse tissues spanning a wide range of ages. Many CpG sites show significant tissue-independent correlations with age and allowed us to develop a multi-tissue predictor of age in the mouse. Our model, which estimates age based on DNA methylation at 329 unique CpG sites, has a median absolute error of 3.33 weeks, and has similar properties to the recently described human epigenetic clock. Using publicly available datasets, we find that the mouse clock is accurate enough to measure effects on biological age, including in the context of interventions. While females and males show no significant differences in predicted DNA methylation age, ovariectomy results in significant age acceleration in females. Furthermore, we identify significant differences in age-acceleration dependent on the lipid content of the offspring diet.\n\nConclusionsHere we identify and characterize an epigenetic predictor of age in mice, the mouse epigenetic clock. This clock will be instrumental for understanding the biology of ageing and will allow modulation of its ticking rate and resetting the clock in vivo to study the impact on biological age.

genomics↗