Biology subjects

Vander Roest, A. S.

Publications and source records attributed to Vander Roest, A. S..

6 recordsLinked to original sources

bioRxiv2026

Beta-Adrenergic Stimulation and MYH7 G256E Mutant Gene Dosage Drive Hypertrophic Cardiomyopathy Phenotype Penetrance

AimsHypertrophic cardiomyopathy (HCM) is the most prevalent genetic heart disorder, characterized by significant phenotypic variability even among individuals with identical MYH7 mutations. This study aims to elucidate factors contributing to this variability and identify drivers of phenotype penetrance. We compared the baseline phenotypes of a highly penetrant MYH7 H251N mutation and the variably penetrant MYH7 G256E mutation and investigated the impact of adding beta-adrenergic stimulation and homozygosity on disease phenotype penetrance using cardiomyocytes from an isogenic line of human induced pluripotent stem cells (hiPSC-CMs). Methods and ResultsIsogenic hiPSCs with MYH7 H251N and MYH7 G256E mutations were generated using CRISPR/Cas9 technology and differentiated into cardiomyocytes (CMs). Single-cell RNA sequencing (scRNAseq) and functional analysis of contractile function revealed consistent HCM phenotype presentation in H251N CMs, whereas G256E CMs exhibited a subtle and more variable phenotype. Beta-adrenergic stimulation induced a distinct metabolic stress response in G256E CMs, characterized by impaired mitochondrial ATP upregulation. Increasing mutant gene dosage from hetero- to homozygosity led to consistent increase in hypertrophic and structural gene expression changes in G256E CMs at RNA and protein levels. These changes were distinct from the changes observed with stress response. Importantly, homozygous G256E CMs exhibited a hypercontractile functional and disorganized structural phenotype. Across multiple experimental conditions, we identified consistent increase in cardiomyocyte specific transcriptomic markers such as NPPB, APOE, PDLIM3 and ANKRD1. ConclusionsOur study highlights the use of a variably penetrant MYH7 mutation to investigate factors that influence HCM phenotype penetrance. Specifically, we found that mutant gene dosage and beta-adrenergic stimulation induce distinct HCM disease phenotypes, providing novel insights into mechanisms that may contribute to variable disease expression in HCM. Translational PerspectiveHCM is characterized by significant phenotypic variability, complicating both diagnosis and clinical management. This study explores the factors driving HCM phenotype penetrance using isogenic hiPSC-CMs with MYH7 mutations. We demonstrate that beta-adrenergic stimulation and increased mutant gene dosage significantly impact HCM disease penetrance. Beta-adrenergic stimulation triggers metabolic stress responses, while increased gene dosage leads to a hypercontractile and structurally disorganized phenotype. These findings provide insight into how specific modifiers can shape disease-associated phenotypes in HCM model systems. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=141 SRC="FIGDIR/small/729411v1_ufig1.gif" ALT="Figure 1"> View larger version (44K): org.highwire.dtl.DTLVardef@16a72d7org.highwire.dtl.DTLVardef@1999ca6org.highwire.dtl.DTLVardef@1fb8752org.highwire.dtl.DTLVardef@7148b2_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2025

Kinetic Modeling of mant-ATP Turnover to Interpret the Biochemically Defined Myosin Super-Relaxed State

The fluorescent ATP analog mant-ATP has become a valuable tool for quantifying occupancy of the myosin super-relaxed (SRX) state, a biochemically inactive state of myosin in striated muscle. Interpretation of mant-ATP fluorescence decay kinetics is confounded by inconsistencies in state definitions and kinetic assumptions. Here, we develop a mass-action kinetic model of myosin cross-bridge cycling and mant-ATP turnover to reconcile these discrepancies and provide a mechanistic framework for interpreting SRX measurements. Our model simulates ATP label-chase experiments and demonstrates that conventional double-exponential fitting methods do not directly quantify SRX occupancy. Instead, we show that slow and fast decay phases of mant-ATP fluorescence arise from label redistribution among kinetically distinct states, not state populations in equilibrium. The model resolves several apparent paradoxes identified in recent studies by reproducing experimental observations without requiring SRX and DRX kinetic isolation or implausible equilibrium constants. Simulations further quantify the impact of experimental factors--such as ADP accumulation, photobleaching, and initial rigor state occupancy--on fluorescence kinetics and SRX estimates. These results support a revised framework for SRX quantification and suggest that label-chase experiments must be interpreted using mechanistic models to accurately assess myosin state distributions and transition kinetics. SIGNIFICANCEThe relative occupancy of myosin in the super-relaxed state (SRX) is a key determinant of basal ATP turnover in muscle. Measurement of ATP exchange using the fluorescent analog mant-ATP is used to assess the relative population of myosin in the SRX versus the disordered relaxed (DRX) state. Existing approaches to analyzing data from these experiments use double exponential fits to represent the mant-ATP decay in the chase-phase of the experiment. However, quantitative and mechanistic interpretations based on these analyses remain ambiguous. We present a mechanistic model of myosin ATP turnover that reproduces observed fluorescence decays under defined conditions. The results indicate that conventional interpretations, while qualitatively reasonable, are quantitatively inconsistent, as the observed slow and fast phases are predicted to arise from ligand redistribution rather than distinct equilibrium states. This framework enables rigorous, model-based interpretation of mant-ATP assays to help clarify how myosin kinetics are reflected in mant-ATP loading-chase experiments and experimental conditions may influence apparent SRX kinetics.

biophysics↗

bioRxiv2023

Cryo-electron tomography reveals the structural diversity of cardiac proteins in their cellular context

Cardiovascular diseases are a leading cause of death worldwide, but our understanding of the underlying mechanisms is limited, in part because of the complexity of the cellular machinery that controls the heart muscle contraction cycle. Cryogenic electron tomography (cryo-ET) provides a way to visualize diverse cellular machinery while preserving contextual information like subcellular localization and transient complex formation, but this approach has not been widely applied to the study of heart muscle cells (cardiomyocytes). Here, we deploy an optimized cryo-ET platform that enables cellular-structural biology in human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs). Using this platform, we reconstructed sub-nanometer resolution structures of the human cardiac muscle thin filament, a central component of the contractile machinery. Reconstructing the troponin complex, a regulatory component of the thin filament, from within cells, we identified previously unobserved conformations that highlight the structural flexibility of this regulatory complex. We next measured the impact of chemical and genetic perturbations associated with cardiovascular disease on the structure of troponin. In both cases, we found changes in troponin structure that are consistent with known disease phenotypes--highlighting the value of our approach for dissecting complex disease mechanisms in the cellular context.

biophysics↗

bioRxiv2023

Multi-scale models reveal hypertrophic cardiomyopathy MYH7 G256E mutation drives hypercontractility and elevated mitochondrial respiration

RationaleOver 200 mutations in the sarcomeric protein {beta}-myosin heavy chain (MYH7) have been linked to hypertrophic cardiomyopathy (HCM). However, different mutations in MYH7 lead to variable penetrance and clinical severity, and alter myosin function to varying degrees, making it difficult to determine genotype-phenotype relationships, especially when caused by rare gene variants such as the G256E mutation. ObjectiveThis study aims to determine the effects of low penetrant MYH7 G256E mutation on myosin function. We hypothesize that the G256E mutation would alter myosin function, precipitating compensatory responses in cellular functions. MethodsWe developed a collaborative pipeline to characterize myosin function at multiple scales (protein to myofibril to cell to tissue). We also used our previously published data on other mutations to compare the degree to which myosin function was altered. ResultsAt the protein level, the G256E mutation disrupts the transducer region of the S1 head and reduces the fraction of myosin in the folded-back state by 50.9%, suggesting more myosins available for contraction. Myofibrils isolated from hiPSC-CMs CRISPR-edited with G256E (MYH7WT/G256E) generated greater tension, had faster tension development and slower early phase relaxation, suggesting altered myosin-actin crossbridge cycling kinetics. This hypercontractile phenotype persisted in single-cell hiPSC-CMs and engineered heart tissues. Single-cell transcriptomic and metabolic profiling demonstrated upregulation of mitochondrial genes and increased mitochondrial respiration, suggesting altered bioenergetics as an early feature of HCM. ConclusionsMYH7 G256E mutation causes structural instability in the transducer region, leading to hypercontractility across scales, perhaps from increased myosin recruitment and altered crossbridge cycling. Hypercontractile function of the mutant myosin was accompanied by increased mitochondrial respiration, while cellular hypertrophy was modest in the physiological stiffness environment. We believe that this multi-scale platform will be useful to elucidate genotype-phenotype relationships underlying other genetic cardiovascular diseases.

molecular biology↗

bioRxiv2021

Insights into single hiPSC-derived cardiomyocyte phenotypes and maturation using ConTraX, an efficient pipeline for tracking contractile dynamics

Cardiomyocytes derived from human induced pluripotent stem cells (hiPSC-CMs) are powerful in-vitro models to study the mechanisms underlying cardiomyopathies and cardiotoxicity. To understand how cellular mechanisms affect the heart, it is crucial to quantify the contractile function in single hiPSC-CMs over time, however, such measurements remain demanding and low-throughput, and are too seldom considered. We developed an open-access, versatile, streamlined, and highly automated pipeline to address these challenges and enable quantitative tracking of the contractile dynamics of single hiPSC- CMs over time: ConTraX. Three interlocking software modules enable: (i) parameter-based localization and selection of single hiPSC-CMs; (ii) automated video acquisition of >200 cells/hour; and (iii) streamlined measurements of the contractile parameters via traction force microscopy. Using ConTraX, we analyzed >2,753 hiPSC-CMs over time under orthogonal experimental conditions in terms of culture media and substrate stiffnesses. Using undirected high-dimensional clustering, we dissected the complex diversity of contractile phenotypes in hiPSC-CM populations and revealed converging maturation patterns. Our modular ConTraX pipeline empowers biologists with a potent quantitative analytic tool applicable to the development of cardiac therapies.

bioengineering↗

bioRxiv2020

Hypertrophic cardiomyopathy β-cardiac myosin mutation (P710R) leads to hypercontractility by disrupting super-relaxed state: multiscale measurements and computational modeling

Hypertrophic cardiomyopathy (HCM) is the most common inherited form of heart disease, associated with over 1000 mutations, many in {beta}-cardiac myosin (MYH7). Molecular studies of myosin with different HCM mutations have revealed a diversity of effects on ATPase and load-sensitive rate of detachment from actin. It has been difficult to predict how such diverse molecular effects combine to influence forces at the cellular level and further influence cellular phenotypes. This study focused on the P710R mutation that dramatically decreased in vitro motility velocity and actin-activated ATPase, in contrast to other MYH7 mutations. Optical trap measurements of single myosin molecules revealed that this mutation reduced the step size of the myosin motor and the load sensitivity of the actin detachment rate. Conversely, this mutation destabilized the super-relaxed state in longer, two-headed myosin constructs, freeing more heads to generate force. Micropatterned hiPSC-cardiomyocytes CRISPR-edited with the P710R mutation produced significantly increased force (measured by traction force microscopy) compared with isogenic control cells. The P710R mutation also caused cardiomyocyte hypertrophy and cytoskeletal remodeling as measured by immunostaining and electron microscopy. Cellular hypertrophy was prevented in the P710R cells by inhibition of ERK or Akt. Finally, we used a computational model that integrated the measured molecular changes to predict the measured traction forces. These results confirm a key role for regulation of the super-relaxed state in driving hypercontractility in HCM with the P710R mutation and demonstrate the value of a multiscale approach in revealing key mechanisms of disease. Significance StatementHeart disease is the leading cause of death worldwide, and hypertrophic cardiomyopathy (HCM) is the most common inherited form of heart disease, affecting over 1 in 200 people. Mutations in myosin, the motor protein responsible for contraction of the heart, are a common cause of HCM but have diverse effects on the biomechanics of the myosin protein. We demonstrate that complex biomechanical effects of mutations associated with heart disease can be effectively studied and understood using a multi-scale experimental and computational modeling approach. This work confirmed an important role for disruption of the super-relaxed state for one particular HCM mutation, and our approach can be extended to aid in the development of new targeted therapies for patients with different mutations.

biophysics↗