Biology subjects

Beach, J.

Publications and source records attributed to Beach, J..

4 recordsLinked to original sources

bioRxiv2026

Disease-associated MYH11 tail variants disrupt vascular smooth muscle myosin II filament dynamics and cell mechanics

Smooth muscle myosin II (SMII), encoded by MYH11, is the principal motor driving vascular smooth muscle cell (VSMC) contraction. How disease-associated MYH11 variants alter SMII behavior in living cells remains poorly understood. We directly visualized two human MYH11 tail variants in VSMCs: pathogenic K1256del and a variant of uncertain significance A1839V, identified in a patient with severe aortoiliac aneurysmal disease. Both variants reduced SMII filament assembly and VSMC contractile output, but with distinct severity. A1839V predominantly retained filamentous organization and displayed partial agonist-induced stabilization, consistent with an intermediate cellular phenotype. In contrast, K1256del severely disrupted filament architecture and behavior, including reduced focal adhesion organization, increased SMII network flow and accelerated filament exchange. Furthermore, K1256del abolished the filament stabilization response to induced contraction. These findings identify failure of SMII filament stabilization as a cellular mechanism linking MYH11 variation to impaired VSMC mechanics. More broadly, they show that direct live-cell phenotyping can distinguish variant-specific defects in the contractile machinery, providing a scalable functional strategy to complement genetic classification and prioritize MYH11 variants for deeper mechanistic and in vivo study.

cell biology↗

bioRxiv2026

Arp2/3-mediated turnover of large clathrin lattices is regulated through the tyrosine kinase ACK

Clathrin mediated endocytosis (CME) is a vital cellular process that mediates cell signaling by controlling the internalization of extracellular cargo and activated receptors. Arp2/3-branched actin provides force to assist in membrane invagination and scission in CME. Loss of Arp2/3-branched actin in conditional Arpc2 KO fibroblasts results in an increase of large arrested clathrin lattices (LACLs) visualized by live-cell TIRF imaging. Additional structural details of LACLs were revealed using electron microscopy and include an increase in arrested clathrin lattices of various curvatures. Numerous CME proteins have heightened levels of tyrosine phosphorylation at these LACLs in Arpc2 KO cells. We identified the non-receptor tyrosine kinase ACK (Activated Cdc42-Associated Kinase) as a key upstream regulator of LACL turnover. CRISPR KO of ACK abrogates LACL tyrosine phosphorylation and impairs cells capacity to resolve LACLs. Our results support a model where ACK recruitment and activation at LACLs drives branched actin formation to help resolve large accumulations of arrested CME structures.

Cell Biology↗

bioRxiv2023

Limiting Pool and Actin Architecture Controls Myosin Cluster Sizes in Adherent Cells

The actomyosin cytoskeleton generates mechanical forces that power important cellular processes, such as cell migration, cell division, and mechanosensing. Actomyosin self-assembles into contractile networks and bundles that underlie force generation and transmission in cells. A central step is the assembly of the myosin II filament from myosin monomers, regulation of which has been extensively studied. However, myosin filaments are almost always found as clusters within the cell cortex. While recent studies characterized cluster nucleation dynamics at the cell periphery, how myosin clusters grow on stress fibers remains poorly characterized. Here, we utilize a U2OS osteosarcoma cell line with endogenously tagged myosin II to measure the myosin cluster size distribution in the lamella of adherent cells. We find that myosin clusters can grow with Rho-kinase (ROCK) activity alone in the absence of myosin motor activity. Time-lapse imaging reveals that myosin clusters grow via increased myosin association to existing clusters, which is potentiated by ROCK-dependent myosin filament assembly. Enabling myosin motor activity allows further myosin cluster growth through myosin association that is dependent on F-actin architecture. Using a toy model, we show that myosin self-affinity is sufficient to recapitulate the experimentally observed myosin cluster size distribution, and that myosin cluster sizes are determined by the pool of myosin available for cluster growth. Together, our findings provide new insights into the regulation of myosin cluster sizes within the lamellar actomyosin cytoskeleton.

biophysics↗

bioRxiv2022

Real-time dynamic single-molecule protein sequencing on an integrated semiconductor device

Proteins are the main structural and functional components of cells, and their dynamic regulation and post-translational modifications (PTMs) underlie cellular phenotypes. Next-generation DNA sequencing technologies have revolutionized our understanding of heredity and gene regulation, but the complex and dynamic states of cells are not fully captured by the genome and transcriptome. Sensitive measurements of the proteome are needed to fully understand biological processes and changes to the proteome that occur in disease states. Studies of the proteome would benefit greatly from methods to directly sequence and digitally quantify proteins and detect PTMs with single-molecule sensitivity and precision. However current methods for studying the proteome lag behind DNA sequencing in throughput, sensitivity, and accessibility due to the complexity and dynamic range of the proteome, the chemical properties of proteins, and the inability to amplify proteins. Here, we demonstrate single-molecule protein sequencing on a compact benchtop instrument using a dynamic sequencing by stepwise degradation approach in which single surface-immobilized peptide molecules are probed in real-time by a mixture of dye-labeled N-terminal amino acid recognizers and simultaneously cleaved by aminopeptidases. By measuring fluorescence intensity, lifetime, and binding kinetics of recognizers on an integrated semiconductor chip we are able to annotate amino acids and identify the peptide sequence. We describe the expansion of the number of recognizable amino acids and demonstrate the kinetic principles that allow individual recognizers to identify multiple amino acids in a highly information-rich manner that is sensitive to adjacent residues. Furthermore, we demonstrate that our method is compatible with both synthetic and natural peptides, and capable of detecting single amino acid changes and PTMs. We anticipate that with further development our protein sequencing method will offer a sensitive, scalable, and accessible platform for studies of the proteome.

biophysics↗