A bistable autoregulatory module in the developing embryo commits cells to binary expression fates

Dynamic microenvironments shape nuclear organization and gene expression

Live imaging has revealed that the regulation of gene expression is largely driven by transient interactions. For example, many regulatory proteins bind chromatin for just seconds, and loop-like genomic contacts are rare and last only minutes. These discoveries have been difficult to reconcile with our canonical models that are predicated on stable and hierarchical interactions. Proteomic microenvironments that concentrate nuclear factors may explain how brief interactions can still mediate gene regulation by creating conditions where reactions occur more frequently. Here, we summarize new imaging technologies and recent discoveries implicating microenvironments as a potential driver of nuclear function. Finally, we propose that key properties of proteomic microenvironments, such as their size, enrichment, and lifetimes, are directly linked to regulatory function.

Design patterns of biological cells

Design patterns are generalized solutions to frequently recurring problems. They were initially developed by architects and computer scientists to create a higher level of abstraction for their designs. Here, we extend these concepts to cell biology to lend a new perspective on the evolved designs of cells' underlying reaction networks. We present a catalog of 21 design patterns divided into three categories: creational patterns describe processes that build the cell, structural patterns describe the layouts of reaction networks, and behavioral patterns describe reaction network function. Applying this pattern language to the E. coli central metabolic reaction network, the yeast pheromone response signaling network, and other examples lends new insights into these systems.

The ftz upstream element drives late ftz stripes but is not required for regulation of Ftz target genes

The regulation of gene expression in precise, rapidly changing spatial patterns is essential for embryonic development. Multiple enhancers have been identified for the evolving expression patterns of the cascade of Drosophila segmentation genes that establish the basic body plan of the fly. Classic reporter transgene experiments identified multiple cis-regulatory elements (CREs) that are sufficient to direct various aspects of the evolving expression pattern of the pair-rule gene fushi tarazu (ftz). These include enhancers that coordinately activate expression in all seven stripes and stripe-specific elements that activate expression in one or more ftz stripes. Of the two 7-stripe enhancers, analysis of reporter transgenes demonstrated that the upstream element (UPS) is autoregulatory, requiring direct binding of Ftz protein to direct striped expression. Here, we asked about the endogenous role of the UPS by precisely deleting this 7-stripe enhancer. In ftzΔUPS7S homozygotes, ftz stripes appear in the same order as wildtype, and all but stripe 4 are expressed at wildtype levels by the end of the cellular blastoderm stage. This suggests that the zebra element and UPS harbor information to direct stripe 4 expression, although previous deletion analyses failed to identify a stripe-specific CRE within these two 7-stripe enhancers. However, the UPS is necessary for late ftz stripe expression, with all 7 stripes decaying earlier than wildtype in ftzΔUPS7S homozygotes. Despite this premature loss of ftz expression, downstream target gene regulation proceeds as in wildtype, and segmentation is unperturbed in the overwhelming majority of animals. We propose that this late-acting enhancer provides a buffer against perturbations in gene expression but is not required for establishment of Ftz cell fates. Overall, our results demonstrate that multiple enhancers, each directing distinct aspects of an overall gene expression pattern, contribute to fine-tuning the complex patterns necessary for embryonic development.

Clearing the slate: RNA turnover to enable cell state switching?

The distribution of mRNA in tissue is determined by the balance between transcription and decay. Understanding the control of RNA decay during development has been somewhat neglected compared with transcriptional control. Here, we explore the potential for mRNA decay to trigger rapid cell state transitions during development, comparing a bistable switch model of cell state conversion with experimental evidence from different developmental systems. We also consider another potential role for large-scale RNA decay that has emerged from studies of stress-induced cell state transitions, in which removal of mRNA unblocks the translation machinery to prioritise the synthesis of proteins that establish the new cell state.

Theoretical and computational tools to model multistable gene regulatory networks

The last decade has witnessed a surge of theoretical and computational models to describe the dynamics of complex gene regulatory networks, and how these interactions can give rise to multistable and heterogeneous cell populations. As the use of theoretical modeling to describe genetic and biochemical circuits becomes more widespread, theoreticians with mathematical and physical backgrounds routinely apply concepts from statistical physics, non-linear dynamics, and network theory to biological systems. This review aims at providing a clear overview of the most important methodologies applied in the field while highlighting current and future challenges. It also includes hands-on tutorials to solve and simulate some of the archetypical biological system models used in the field. Furthermore, we provide concrete examples from the existing literature for theoreticians that wish to explore this fast-developing field. Whenever possible, we highlight the similarities and differences between biochemical and regulatory networks and 'classical' systems typically studied in non-equilibrium statistical and quantum mechanics.