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SUMOylation of periplakin is critical for efficient reorganization of keratin filament network.

ABSTRACT: The architecture of the cytoskeleton and its remodeling are tightly regulated by dynamic reorganization of keratin-rich intermediate filaments. Plakin family proteins associate with the network of intermediate filaments (IFs) and affect its reorganization during migration, differentiation, and response to stress. The smallest plakin, periplakin (PPL), interacts specifically with intermediate filament proteins K8, K18, and vimentin via its C-terminal linker domain. Here, we show that periplakin is SUMOylated at a conserved lysine in its linker domain (K1646) preferentially by small ubiquitin-like modifier 1 (SUMO1). Our data indicate that PPL SUMOylation is essential for the proper reorganization of the keratin IF network. Stresses perturbing intermediate-filament and cytoskeletal architecture induce hyper--SUMOylation of periplakin. Okadaic acid induced hyperphosphorylation-dependent collapse of the keratin IF network results in a similar hyper-SUMOylation of PPL. Strikingly, exogenous overexpression of a non-SUMOylatable periplakin mutant (K1646R) induced aberrant bundling and loose network interconnections of the keratin filaments. Time-lapse imaging of cells expressing the K1646R mutant showed the enhanced sensitivity of keratin filament collapse upon okadaic acid treatment. Our data identify an important regulatory role for periplakin SUMOylation in dynamic reorganization and stability of keratin IFs.

SUBMITTER: Gujrati M

PROVIDER: S-EPMC6589569 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

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Project description:Keratin intermediate filaments are dynamic cytoskeletal components that are responsible for tuning the mechanical properties of epithelial tissues. Although it is known that keratin filaments (KFs) are able to sense and respond to changes in the physicochemical properties of the local niche, a direct correlation of the dynamic three-dimensional network structure at the single filament level with the microenvironment has not been possible. Using conventional approaches, we find that keratin flow rates are dependent on extracellular matrix (ECM) composition but are unable to resolve KF network organization at the single filament level in relation to force patterns. We therefore developed a novel method that combines a machine learning-based image restoration technique and traction force microscopy to decipher the fine details of KF network properties in living cells grown on defined ECM patterns. Our approach utilizes Content-Aware Image Restoration (CARE) to enhance the temporal resolution of confocal fluorescence microscopy by at least five fold while preserving the spatial resolution required for accurate extraction of KF network structure at the single KF/KF bundle level. The restored images are used to segment the KF network, allowing numerical analyses of its local properties. We show that these tools can be used to study the impact of ECM composition and local mechanical perturbations on KF network properties and corresponding traction force patterns in size-controlled keratinocyte assemblies. We were thus able to detect increased curvature but not length of KFs on laminin-322 versus fibronectin. Photoablation of single cells in microprinted circular quadruplets revealed surprisingly little but still significant changes in KF segment length and curvature that were paralleled by an overall reduction in traction forces without affecting global network orientation in the modified cell groups irrespective of the ECM coating. Single cell analyses furthermore revealed differential responses to the photoablation that were less pronounced on laminin-332 than on fibronectin. The obtained results illustrate the feasibility of combining multiple techniques for multimodal monitoring and thereby provide, for the first time, a direct comparison between the changes in KF network organization at the single filament level and local force distribution in defined paradigms.

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SUMOylation of periplakin is critical for efficient reorganization of keratin filament network.

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