Protein compactness and interaction valency define the architecture of a biomolecular condensate across scales
- University of Vienna, Austria
- Medical University of Vienna, Austria
- Russian Academy of Sciences, Russian Federation
Abstract
Non-membrane-bound biomolecular condensates have been proposed to represent an important mode of subcellular organization in diverse biological settings. However, the fundamental principles governing the spatial organization and dynamics of condensates at the atomistic level remain unclear. The S. cerevisiae Lge1 protein is required for histone H2B ubiquitination and its N-terminal intrinsically disordered fragment (Lge11-80) undergoes robust phase separation. This study connects single- and multi-chain all-atom molecular dynamics simulations of Lge11-80 with the in vitro behavior of Lge11-80 condensates. Analysis of modelled protein-protein interactions elucidates the key determinants of Lge11-80 condensate formation and links configurational entropy, valency and compactness of proteins inside the condensates. A newly derived analytical formalism, related to colloid fractal cluster formation, describes condensate architecture across length scales as a function of protein valency and compactness. In particular, the formalism provides an atomistically resolved model of Lge11-80 condensates on the scale of hundreds of nanometers starting from individual protein conformers captured in simulations. The simulation-derived fractal dimensions of condensates of Lge11-80 and its mutants agree with their in vitro morphologies. The presented framework enables a multiscale description of biomolecular condensates and embeds their study in a wider context of colloid self-organization.
Data availability
All data generated or analysed during this study are included in the manuscript and supporting files (Supplementary Files 1 and 2); source data files have been provided for Figure 2 (Figure 2 -source data 1), Figure 1-figure supplement 1 (Figure 1-figure supplement 1-source data 2), Figure 1-figure supplement 2 (Figure 1-figure supplement 2-source data 1), Figure 5-figure supplement 2 (Figure 5-figure supplement 2-source data 1); compressed folders containing source data files have been provided for Figure 1 (Figure 1 -source data 1), Figure 2 (Figure 2 -source data 2), Figure 3 (Figure 3 -source data 1), Figure 4 (Figure 4 -source data 1), Figure 5 (Figure 5 -source data 1), Figure 6 (Figure 6 -source data 1), Figure 1-figure supplement 1 (Figure 1-figure supplement 1-source data 1), Figure 2-figure supplement 1 (Figure 2-figure supplement 1-source data 1), Figure 3-figure supplement 1 (Figure 3-figure supplement 1-source data 1), Figure 4-figure supplement 1 (Figure 4-figure supplement 1-source data 1), Figure 6-figure supplement 1 (Figure 6-figure supplement 1-source data 1). These source files contain the numerical data used to generate the figures.
Article and author information
Author details
Funding
Austrian Science Fund (P 30550)
- Bojan Zagrovic
Austrian Science Fund (P 30680-B21)
- Bojan Zagrovic
NOMIS Stiftung (Pioneering Research Grant)
- Alwin Köhler
Austrian Science Fund (F79)
- Alwin Köhler
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Copyright
© 2023, Polyansky et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
Metrics
-
- 1,660
- views
-
- 242
- downloads
-
- 10
- citations
Views, downloads and citations are aggregated across all versions of this paper published by eLife.
Download links
A two-part list of links to download the article, or parts of the article, in various formats.
Downloads (link to download the article as PDF)
Open citations (links to open the citations from this article in various online reference manager services)
Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)
Protein compactness and interaction valency define the architecture of a biomolecular condensate across scales
eLife 12:e80038.
https://doi.org/10.7554/eLife.80038
Further reading
-
- Developmental Biology
- Physics of Living Systems
Shape changes of epithelia during animal development, such as convergent extension, are achieved through the concerted mechanical activity of individual cells. While much is known about the corresponding large-scale tissue flow and its genetic drivers, fundamental questions regarding local control of contractile activity on the cellular scale and its embryo-scale coordination remain open. To address these questions, we develop a quantitative, model-based analysis framework to relate cell geometry to local tension in recently obtained time-lapse imaging data of gastrulating Drosophila embryos. This analysis systematically decomposes cell shape changes and T1 rearrangements into internally driven, active, and externally driven, passive, contributions. Our analysis provides evidence that germ band extension is driven by active T1 processes that self-organize through positive feedback acting on tensions. More generally, our findings suggest that epithelial convergent extension results from the controlled transformation of internal force balance geometry which combines the effects of bottom-up local self-organization with the top-down, embryo-scale regulation by gene expression.
-
- Cell Biology
- Physics of Living Systems
The endoplasmic reticulum (ER), the largest cellular compartment, harbours the machinery for the biogenesis of secretory proteins and lipids, calcium storage/mobilisation, and detoxification. It is shaped as layered membranous sheets interconnected with a network of tubules extending throughout the cell. Understanding the influence of the ER morphology dynamics on molecular transport may offer clues to rationalising neuro-pathologies caused by ER morphogen mutations. It remains unclear, however, how the ER facilitates its intra-luminal mobility and homogenises its content. It has been recently proposed that intra-luminal transport may be enabled by active contractions of ER tubules. To surmount the barriers to empirical studies of the minuscule spatial and temporal scales relevant to ER nanofluidics, here we exploit the principles of viscous fluid dynamics to generate a theoretical physical model emulating in silico the content motion in actively contracting nanoscopic tubular networks. The computational model reveals the luminal particle speeds, and their impact in facilitating active transport, of the active contractile behaviour of the different ER components along various time–space parameters. The results of the model indicate that reproducing transport with velocities similar to those reported experimentally in single-particle tracking would require unrealistically high values of tubule contraction site length and rate. Considering further nanofluidic scenarios, we show that width contractions of the ER’s flat domains (perinuclear sheets) generate local flows with only a short-range effect on luminal transport. Only contractions of peripheral sheets can reproduce experimental measurements, provided they are able to contract fast enough.
