Search bioRxiv⌕ Search

Biology subjects

Lamont, S.

Publications and source records attributed to Lamont, S..

2 recordsLinked to original sources

Hippo signalling regulates the nuclear behaviour and DNA dwell times of YAP and TEAD to control transcription

Over the past two decades, genetic and proteomic screens have enabled the discovery and elucidation of the Hippo pathway as a complex signalling network that controls tissue growth and cell fate and which is of major importance for human cancers. Despite these advances, our understanding of how Hippo signalling regulates transcription is less clear. To address this, we used live microscopy approaches to study the nuclear behaviour of the major transcription effectors of the human Hippo pathway, YAP and TEADs. Our experiments revealed that TEADs are a major determinant of YAPs nuclear biophysical behaviour, whilst YAP only has a minor influence on TEAD behaviour. Acute chemical inhibition of Hippo signalling stimulated an increase in the DNA residence time of both YAP and TEAD1. Consistently, YAP and TEAD1 bound DNA for longer periods in cells with high intrinsic YAP/TEAD activity (induced trophoblast stem cells) than in cells with low intrinsic YAP/TEAD activity (induced pluripotent stem cells). TEAD1 bound the genome on a broad range of timescales, and this is extended substantially in nuclear condensates. Finally, single molecule tracking experiments revealed that a fusion protein encoded by a cancer-associated YAP allele exhibits substantially different nuclear biophysical behaviour than either YAP or TEAD1. These live microscopy experiments reveal that Hippo signalling regulates transcription at least in part by influencing the DNA dwell times of both YAP and TEAD.

cell biology↗

Identifying Mechanisms of Regulation to Model Carbon Flux During Heat Stress And Generate Testable Hypotheses

Understanding biological response to stimuli requires identifying mechanisms that coordinate changes across pathways. One of the promises of multi-omics studies is achieving this level of insight by simultaneously identifying different levels of regulation. However, computational approaches to integrate multiple types of data are lacking. An effective systems biology approach would be one that uses statistical methods to detect signatures of relevant network motifs and then builds metabolic circuits from these components to model shifting regulatory dynamics. For example, transcriptome and metabolome data complement one another in terms of their ability to describe shifts in physiology. Here, we extend a previously described method used to identify single nucleotide polymorphism (SNPs) associated with metabolic changes (Gieger et al., 2008). We apply this strategy to link changes in sulfur, amino acid and lipid production under heat stress by relating ratios of compounds to potential precursors and regulators. This approach provides integration of multi-omics data to link previously described, discrete units of regulation into functional pathways and hypothesizes novel biology relevant to the heat stress response.

genomics↗