Simon Andrews did his first degree in Microbiology at the University of Warwick. After a brief period working for Sandoz pharmaceuticals he went on to do a PhD in protein engineering a the University of Newcastle with Harry Gilbert. During his PhD his interests moved from bench work toward the emerging field of bioinformatics, and he decided to follow this direction in his future career.
After completing his PhD Simon worked with the BBSRC IT Services where he developed and then presented a series of bioinformatics training courses in protein structure analysis to the BBSRC institutes. At one of these courses at Babraham he met John Coadwell who establised the Babraham Bioinformatics group and was then employed as the second member of the bioinformatics team. Since joining Babraham Simon has seen the group grow from two people to nine as the field has become far more prominent in the biological research community. He took over the running of the group in 2010. Simon won a Papin Prize in 2025 for contributions to research (news article link).
Poised enhancers (PEs), co-marked by H3K4me1 and Polycomb-associated H3K27me3, are common in primed human pluripotent stem cells (hPSCs) resembling post-implantation epiblast but scarce in naive hPSCs modeling pre-implantation epiblast. PEs form abundant chromosomal contacts with developmental genes, but the timing of their emergence, their relationship to enhancer poising, and their functional significance remain unclear. We devised high-resolution, PE-targeted Capture Hi-C to map PE contacts during the transition from naive to primed pluripotency. We find that enhancer poising emerges early in the transition, while the contacts show diverse dynamics. PROTAC-induced degradation of Polycomb repressive complex 2 early in the transition, but not inhibition of its H3K27 methyltransferase activity, weakens PE connectivity. Finally, PE contacts persist after developmental activation or ectopic CRISPRa targeting and can mediate long-range gene induction. Together, these findings reveal the temporal and mechanistic principles of PE connectivity and highlight a potential role of PE contacts in establishing developmental gene expression patterns.
As lipidomics approaches its 25th anniversary, we explore how lipid research has matured over the years while highlighting emerging innovations that are expanding our ability to study these diverse, life-critical biomolecules. In particular, we showcase the community-driven, open-access databases, software, and educational resources made freely available through the ELIXIR Core Data Resource LIPID MAPS for the benefit of both established and new researchers.
TrAEL-seq is a robust method for profiling DNA replication genome-wide that works in unsynchronized cells and does not require drugs or nucleotide analogues. Here, we provide an updated method for TrAEL-seq that improves sample quality and includes multiplexing of up to six samples which dramatically improves throughput, and we validate TrAEL-seq in multiple mammalian cell lines. The updated protocol is straightforward and robust yet provides excellent resolution comparable to OK-seq in mammalian cell samples. High resolution replication profiles can be obtained across large panels of samples and in dynamic systems, for example during the progressive onset of oncogene induced senescence. In addition to mapping zones where replication initiates and terminates, TrAEL-seq is sensitive to replication fork speed, revealing effects of both transcription and proximity to replication Initiation Zones on fork progression. Although forks move more slowly through transcribed regions, this does not have a significant impact on the broader dynamics of replication fork progression, and instead replication forks accelerate across the first 鈭1 Mb of travel irrespective of local transcriptional activity. We propose that this is a consequence of fewer replication forks being active later in S-phase when these distal regions replicate and there being less competition for replication factors.