Biology subjects

Minchington, T. G.

Publications and source records attributed to Minchington, T. G..

4 recordsLinked to original sources

bioRxiv2023

Self-organised pattern formation in the developing neural tube by a temporal relay of BMP signalling

Developing tissues interpret dynamic changes in morphogen activity to generate cell type diversity. To quantitatively study BMP signalling dynamics in the vertebrate neural tube, we developed a new ES cell differentiation system tailored for growing tissues. Differentiating cells form striking self-organised patterns of dorsal neural tube cell types driven by sequential phases of BMP signalling that are observed both in vitro and in vivo. Data-driven biophysical modelling showed that these dynamics result from coupling fast negative feedback with slow positive regulation of signalling by the specification of an endogenous BMP source. Thus, in contrast to relays that propagate morphogen signalling in space, we uncover a BMP signalling relay that operates in time. This mechanism allows rapid initial concentrationsensitive response that is robustly terminated, thereby regulating balanced sequential cell type generation. Altogether, our study provides an experimental and theoretical framework to understand how signalling dynamics are exploited in developing tissues.

developmental biology↗

bioRxiv2021

Dynamics of hunchback translation in real time and at single mRNA resolution in the Drosophila embryo

The Hunchback (Hb) transcription factor is critical for anterior-posterior patterning of the Drosophila embryo. Despite the maternal hb mRNA acting as a paradigm for translational regulation, due to its repression in the posterior of the embryo, little is known about the translatability of zygotically transcribed hb mRNAs. Here we adapt the SunTag system, developed for imaging translation at single mRNA resolution in tissue culture cells, to the Drosophila embryo to study the translation dynamics of zygotic hb mRNAs. Using singlemolecule imaging in fixed and live embryos, we provide evidence for translational repression of zygotic SunTag-hb mRNAs. While the proportion of SunTag-hb mRNAs translated is initially uniform, translation declines from the anterior over time until it becomes restricted to a posterior band in the expression domain. We discuss how regulated hb mRNA translation may help establish the sharp Hb expression boundary, which is a model for precision and noise during developmental patterning. Overall, our data show how use of the SunTag method on fixed and live embryos is a powerful combination for elucidating spatiotemporal regulation of mRNA translation in Drosophila.

developmental biology↗

bioRxiv2020

Feedback motifs tuned by microRNAs in human transcriptional networks

Concepts from dynamical systems theory, including multi-stability, oscillations, robustness and stochasticity, are increasingly implicated in the control of gene expression during cell fate decisions, inflammation and stem cell heterogeneity. However, the prevalence of the underlying structures within gene networks which drive these dynamical behaviours, such as direct autoregulation or feedback by microRNAs, is unknown. We integrate transcription factor binding site (TFBS) and microRNA target data to generate a gene interaction network across 28 human tissues. This network was interrogated to identify network motifs capable of driving dynamical gene expression, in particular oscillations. Autoregulatory motifs were identified in 56% of transcription factors (TFs) investigated, 89% of which were also found in dual feedback motifs with a microRNA. Both the autoregulatory and dual feedback motifs were enriched in the network. TFs that autoregulate were found to be highly conserved between tissues. Dual feedback motifs with microRNAs were also conserved, but less so. Such dual feedback motifs were conserved between tissues, although TFs regulate different combinations of microRNAs in a tissue-dependent manner. TFs which autoregulate are prevalent among human TFs and have more interactions with microRNAs than non-autoregulatory genes. The enrichment of such motifs within the human transcriptional network indicates that more genes may have interesting expression dynamics than previously thought. These data provide a resource for the identification of TFs which regulate the dynamical properties of human gene expression. These findings support the development of dynamical conceptual frameworks for the study of fundamental biological processes.

bioinformatics↗

bioRxiv2019

Modulation of promoter occupancy dictates the transcriptional response to graded BMP signalling levels in the Drosophila embryo

SUMMARYMorphogen gradients specify cell fates during development, with a classic example being the BMP gradient’s conserved role in embryonic dorsal-ventral axis patterning. Here we elucidate how the BMP gradient is interpreted in the Drosophila embryo, by combining live imaging with computational modelling to infer transcriptional burst parameters at single cell resolution. By comparing burst kinetics in cells receiving different levels of BMP signaling, we show that BMP signaling controls burst frequency by regulating the promoter activation rate. We provide evidence that the promoter activation rate is influenced by both enhancer and promoter sequences, whereas Pol II loading rate is primarily modulated by the enhancer. Consistent with BMP-dependent regulation of burst frequency, the numbers of BMP target gene transcripts per cell are graded across their expression domains. We suggest that graded mRNA output is a general feature of morphogen gradient interpretation and discuss how this can impact on cell fate decisions.Competing Interest StatementThe authors have declared no competing interest.View Full Text

developmental biology↗