Biological Physics

Self-assembly of emerin nanodomains
Can we use a stochastic lattice model to predict experimentally observed properties of emerin's organization and self-assembly on the nuclear membrane? (image credits: left panel of image is from [(B) Li et. al, 2017] and right panel of image is from [Haselwandter et. al, 2011])

Emerin, a nuclear envelope (NE) protein within mammalian cells, is a fundamental component of the inner nuclear membrane (INM) [Fernandez et. al., 2022]. It plays a pivotal role in mechanotransduction, a process through which mechanical forces are detected and converted into biochemical signals. This function is intricately connected to emerin's role as a key link between the cytoplasmic membrane, the cytoskeleton, and the nucleoskeleton. Emerin is a key component of the Linker of Nucleoskeleton and Cytoskeleton (LINC) complex. This complex acts as a bridge, connecting the nuclear lamina inside the nucleoplasm to the cytoskeleton on the cytoplasmic side. The LINC complex has the ability to sense and relay mechanical signals from the cytoplasmic membrane to the cell nucleus, which, consequently, can be perceived by emerin. Emerin can affect gene expression involved in the processes of mechanotransduction. For example, by influencing genes such as $\beta$-catenin and Lmo7, emerin can affect cytoskeletal dynamics and cell shape. Numerous studies have highlighted the significance of emerin's intrinsically disordered region in performing many of its vital functions. This structural flexibility allows emerin to adopt various conformations, form oligomers, and engage with multiple partners at the INM [Fernandez et. al., 2022]. Mutations in emerin or its absence have been correlated with abnormal responses of the nuclear envelope to mechanical stress, ultimately resulting in Emery-Dreifuss muscular dystrophy (EDMD).

A recent study utilizing single-molecule tracking and super-resolution fluorescence microscopy has provided intriguing insights into the steady-state distributions and mobilities of wild-type (WT) and mutated emerin at the INM under various conditions, including mechanical stress [Fernandez et. al., 2022]. In particular, these experiments revealed two distinct distributions of emerin species at the INM, slow and fast diffusers, and that emerin generally forms stable nanodomains of elevated emerin concentrations which are maintained through interactions with emerin and other nuclear binding partners (NBPs) [e.g., SUN1, lamin A/C, barrier-to-autointegration factor (BAF), and nuclear actin]. Mutations of emerin and mechanical stress were found to perturb the distributions of emerin and its oligomerization potential.

The INM spatial pattern of emerin nanodomains of increased concentrations and the distinction between slowly and rapidly diffusing emerin species resembles the properties of molecular domains self-assembled through a Turing mechanism in an activator-inhibitor reaction-diffusion model [Haselwandter, 2011]. In this model, inhibitors, which diffuse rapidly, act to restrain increased molecular concentrations via steric constraints. On the other hand, activators diffuse at a slower pace compared to inhibitors but activate elevated molecular concentrations of both inhibitors and other activators. We show that the self-assembly of stable emerin nanodomains may be attributed to the self-stabilization of slow-diffusing, activating emerin-complexes and fast-diffusing, inhibiting emerin-complexes at the INM, coupled with the steric repulsion of the inhibitors.

We developed a physical model of the self-assembly of emerin nanodomains at the INM based on the Turing mechanism. Our model serves three related purposes: (a) to explain how WT emerin nanodomains form when no force is applied, (b) to predict how WT emerin nanodomain properties change under force application based on experimental data on changes in emerin diffusion under force application, and (c) to trace observed changes in emerin organization in mutated forms of emerin to changes in key reaction or diffusion processes.

Our manuscript has been published in Physical Review Research [Alas et. al., 2025].

In the News

Our work has been featured in news stories highlighting its potential implications for understanding and treating Emery-Dreifuss muscular dystrophy (EDMD). A USC Dornsife news brief described how our research combines advanced imaging techniques and theoretical physics to uncover the molecular rules driving the arrangement of emerin into nanoclusters, and the mechanisms leading to their defective assembly in people with muscular dystrophy. These emerin nanoclusters -- about 100,000 times smaller than a human hair's width -- play a crucial role in how cells sense and respond to mechanical forces, a process known as mechanotransduction. When mechanotransduction fails, it can lead to diseases like EDMD.

The U.S. National Science Foundation (NSF) also highlighted our research, drawing a connection between Alan Turing's mathematical theory of pattern formation -- which explains patterns such as leopard spots and zebra stripes -- and our work on emerin nanocluster self-assembly. The NSF story described how our study uses these pattern formation principles at the nanoscale to explain the organization of emerin protein nanoclusters and how mutations can disrupt this process, potentially leading to muscular dystrophy.
References
(2025). Diffusion-driven self-assembly of emerin nanodomains at the nuclear envelope. Phys. Rev. Res. 7, L012019 (2025).

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(2022). Emerin self-assembly and nucleoskeletal coupling regulate nuclear envelope mechanics against stress. Journal of Cell Science.

DOI

(2017). Distribution of randomly diffusing particles in inhomogeneous media. Physical Review E.

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(2011). Formation and Stability of Synaptic Receptor Domains. Physical Review Letters.

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