Not Going with the Flow: How Cells Adapt Internal Physics.

Defining the principles underlying the organization of biomolecules within cells is a key challenge of current cell biology research. Persson et al. now identify a powerful layer of regulation that allows cells to decouple diffusion from temperature by modulating their intracellular viscosity. This so-called viscoadaptation is mediated through trehalose and glycogen activities, which alter diffusion dynamics and self-assembly propensity inside the cell globally.

Molecular and environmental determinants of biomolecular condensate formation.

Biomolecular condensate formation has been implicated in a host of biological processes and has found relevance in biology and disease. Understanding the physical principles and underlying characteristics of how these macromolecular assemblies form and are regulated has become a central focus of the field. In this Review, we introduce features of phase-separating biomolecules from a general physical viewpoint and highlight how molecular features, including affinity, valence and a competition between inter- and intramolecular contacts, affect phase separation. We then discuss sequence properties of proteins that serve to mediate intermolecular interactions. Finally, we review how the intracellular environment can affect structural and sequence determinants of proteins and modulate physical parameters of their phase transitions. The works reviewed highlight that a complex interplay exists between structure, sequence and environmental determinants in the formation of biomolecular condensates.

Affinity and Valence Impact the Extent and Symmetry of Phase Separation of Multivalent Proteins.

Biomolecular self-assembly spatially segregates proteins with a limited number of binding sites (valence) into condensates that coexist with a dilute phase. We develop a many-body lattice model for a three-component system of proteins with fixed valence in a solvent. We compare the predictions of the model to experimental phase diagrams that we measure in vivo, which allows us to vary specifically a binding site's affinity and valency. We find that the extent of phase separation varies exponentially with affinity and increases with valency. Valency alone determines the symmetry of the phase diagram.

Designer protein assemblies with tunable phase diagrams in living cells.

Protein self-organization is a hallmark of biological systems. Although the physicochemical principles governing protein-protein interactions have long been known, the principles by which such nanoscale interactions generate diverse phenotypes of mesoscale assemblies, including phase-separated compartments, remain challenging to characterize. To illuminate such principles, we create a system of two proteins designed to interact and form mesh-like assemblies. We devise a new strategy to map high-resolution phase diagrams in living cells, which provide self-assembly signatures of this system. The structural modularity of the two protein components allows straightforward modification of their molecular properties, enabling us to characterize how interaction affinity impacts the phase diagram and material state of the assemblies in vivo. The phase diagrams and their dependence on interaction affinity were captured by theory and simulations, including out-of-equilibrium effects seen in growing cells. Finally, we find that cotranslational protein binding suffices to recruit a messenger RNA to the designed micron-scale structures.

YeastRGB: comparing the abundance and localization of yeast proteins across cells and libraries.

The ability to measure the abundance and visualize the localization of proteins across the yeast proteome has stimulated hypotheses on gene function and fueled discoveries. While the classic C' tagged GFP yeast library has been the only resource for over a decade, the recent development of the SWAT technology has led to the creation of multiple novel yeast libraries where new-generation fluorescent reporters are fused at the N' and C' of open reading frames. Efficient access to these data requires a user interface to visualize and compare protein abundance, localization and co-localization across cells, strains, and libraries. YeastRGB (www.yeastRGB.org) was designed to address such a need, through a user-friendly interface that maximizes informative content. It employs a compact display where cells are cropped and tiled together into a 'cell-grid.' This representation enables viewing dozens of cells for a particular strain within a display unit, and up to 30 display units can be arrayed on a standard high-definition screen. Additionally, the display unit allows users to control zoom-level and overlay of images acquired using different color channels. Thus, YeastRGB makes comparing abundance and localization efficient, across thousands of cells from different strains and libraries.

Pathogen-derived extracellular vesicles coordinate social behaviour and host manipulation.

Infectious diseases are the leading cause of death of children worldwide, causing a tenacious and major public-health burden. The dynamic interplay between pathogens and their host is one of the most complicated themes of the disease progression. Pathogens excel in developing different means to facilitate cell-cell communication via secreted vesicles, among others. The released vesicles are involved in the transfer of biologically active molecules that induce phenotypic changes in the recipient cells. The messages within the vesicles are delivered to coordinate diverse processes, including virulence factor expression, differentiation state and control of their population density. Importantly, production of such vesicles promotes pathogen survival, as it provides a secure means of pathogen-pathogen communication and an ability to manipulate host responses for their own benefits. This review highlights intriguing findings, which show the important role of EVs in the social activity of pathogens, within and in between their communities. We further present examples of how pathogens use EVs to alter host immune and non-immune responses. Advancing our understanding of cell-cell communication in infectious diseases will be particularly useful to decipher the complexity of the cross-talk between pathogens themselves and their hosts, leading to the development of therapeutic strategies for fighting infectious agents.

Identification and classification of the malaria parasite blood developmental stages, using imaging flow cytometry.

Malaria is the most devastating parasitic disease of humans, caused by the unicellular protozoa of the Plasmodium genus, such as Plasmodium falciparum (Pf) and is responsible for up to a million deaths each year. Pf life cycle is complex, with transmission of the parasite between humans via mosquitos involving a remarkable series of morphological transformations. In the bloodstream, the parasites undergo asexual multiplications inside the red blood cell (RBC), where they mature through the ring (R), trophozoite (T) and schizont (S) stages, and sexual development, resulting in gametocytes (G). All symptoms of malaria pathology are caused by the asexual blood stage parasites. Flow cytometry methods were previously used to detect malaria infected (i) RBCs, in live or fixed cells, using DNA (Hoechst) and RNA (Thiazole Orange) stains. Here, by using imaging flow cytometry, we developed improved methods of identifying and quantifying each of the four parasite blood stages (R, T, S and G). This technique allows multi-channel, high resolution imaging of individual parasites, as well as detailed morphological quantification of Pf-iRBCs cultures. Moreover, by measuring iRBC morphological properties, we can eliminate corrupted and extracellular (dying) parasites from the analysis, providing accurate quantification and robust measurement of the parasitemia profile. This new method is a valuable tool in malaria molecular biology research and drug screen assays.

Synthetic condensate size correlates with yeast replicative cell age.

Yeast divides asymmetrically, with an aging mother cell and a 'rejuvenated' daughter cell, and serves as a model organism for studying aging. At the same time, determining the age of yeast cells is technically challenging, requiring complex experimental setups or genetic strategies. We developed a synthetic system composed of two interacting oligomers, which forms condensates in living yeast cells. Here, we report that these synthetic condensates' size correlates with yeast replicative age, making these condensates age reporters for this model organism.