SBL News

publications – Featured Publication

Human skin as a model for signalling during cellular differentiation

Blog A central research theme within the Systems Biology Laboratory is investigating how cells use molecular mechanisms to control tissue function. Read More ›

publications – Featured Publication

Modelling the conditional regulatory activity of methylated and bivalent promoters

Blog This project builds upon our previous work modelling gene expression from epigenetic data to model 'conditional' regulatory activity; we also provide the first genome-wide integration of DNA methylation bisulfite-sequencing data within such a model to substantially improve prediction accuracy and the reliability of downstream biological inference. Read More ›

publications – Featured Publication

Predictive modelling of gene expression from transcriptional regulatory elements

Blog Predictive modelling is a powerful in silico framework for exploring the regulatory interactions between the epigenetic and transcriptomic layers. Unlike network-based analyses that model genes as variables in an underdetermined system, these models treat genes as observations to allow statistically-significant insights to be gained regarding the complementary roles of histone modifications, transcription factors, DNA methylation and other key regulators. This study provides the first critical review of several epigenetic feature extraction and predictive modelling techniques across multiple cell lines and organisms. Read More ›

publications – Featured Publication

Predicting expression: the complementary power of histone modification and transcription factor binding data

Blog Statistical redundancy between epigenetic features is a critical issue in predictive gene expression modelling. Redundancy between histone modification and transcription factor binding data prevents their effective integration within a single model, reducing prediction accuracy and reliability of downstream biological inference. This study provides a detailed analysis of the biological phenomena underlying redundancy both within and between these epigenetic regulators, providing new insights into spatiotemporal gene regulation and laying the foundation for improved modelling frameworks. Read More ›