Biology subjects

Wu, J. C.

Publications and source records attributed to Wu, J. C..

At least 19 recordsLinked to original sources

bioRxiv2026

Generation of an induced pluripotent stem cell line from a patient with immune checkpoint inhibitor-induced myocarditis and concurrent type I diabetes

Immune checkpoint inhibitor-induced myocarditis (ICIM) is a severe immune-related adverse event with heterogeneous clinical presentations and potential genetic susceptibility. Here, we established a human induced pluripotent stem cell (iPSC) line from an ICIM patient with an HLA-type distinct from previously reported line, who developed concurrent type I diabetes following ICI treatment. This line exhibited typical morphology, normal female karyotype, pluripotency, trilineage differentiation into all three germ layers, Sendai virus clearance, and no mycoplasma contamination. Given the fulminant nature and diverse clinical presentations of ICIM, expanding the repertoire of iPSC lines are critical for investigating ICIM heterogeneity and its underlying mechanisms.

developmental biology↗

bioRxiv2026

Damaging RBM20 E-rich domain variants are not rescued by gene replacement

The promise of precision therapeutics in genetic cardiomyopathies relies on linking specific therapies to variant mechanisms. Missense variants in the cardiac splice regulator RBM20 cause a highly penetrant and arrhythmogenic dilated cardiomyopathy. Disease-causing variants in RBM20s arginine-serine rich (RS) domain act via formation of toxic gain of function cytoplasmic granules, but this is not true for a small number of clinically adjudicated pathogenic variants in its glutamate(E)-rich domain. To better define the effects of E-rich domain variants, we developed a scalable screen based on induced pluripotent stem cell (iPSC) cardiomyocyte differentiation that identified several additional damaging variants. Several of these reduced RBM20 protein abundance and stability. We therefore hypothesized that, unlike RS domain variants, these E-rich variants might be rescued by RBM20 overexpression. To test this hypothesis, we generated induced pluripotent stem cells (iPSCs) from a patient with a pathogenic E-rich domain variant (p.E913K), and confirmed reduced RBM20 protein expression in these RBM20+/p.E913K cells after differentiation to iPSC-derived cardiomyocytes (iPSC-CM, vs. engineered isogenic RBM20+/+). These iPSC-CMs also displayed aberrant transcriptional splicing, reduced contractility, increased calcium-induced calcium release, and nuclear localization of RBM20 protein, often with more than the two expected RBM20-centric splice factories. AAV-based overexpression of RBM20 reversed some, but not all of the mis-splicing events identified in RBM20+/p.E913K iPSC-CMs, and did not improve their abnormal contractility, calcium handling or supernumerary RBM20 nuclear granules. In summary, our data indicate that pathogenic E-rich domain variants reduce RBM20 protein abundance, but that their mechanism is unlikely to be explained by haploinsufficiency alone.

genetics↗

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↗

bioRxiv2026

Metabolic Perturbation Exacerbates Sinoatrial Node Dysfunction in Heart Failure

Heart failure (HF) affects approximately 6.2 million people in the United States, with a 5-year mortality exceeding 50%. Bradyarrhythmia, a known complication in HF due to sinoatrial node (SAN) dysfunction (SAND), increases the morbidity and mortality of HF patients. Insights into the mechanistic underpinnings of SAND in HF could therefore uncover vital therapeutic targets to improve clinical outcomes. The SAN cells are endowed with a dense mitochondrial network crucial for sustaining their pacemaking function on a beat-to-beat basis. We have previously demonstrated significant disruptions in the mitochondrial-sarcoplasmic reticulum connectomics, resulting in abnormal mitochondrial Ca2+ handling and impaired mitochondrial function in HF. Here, we hypothesize that the metabolic perturbation is one of the critical mechanisms underlying SAND. To this end, we took advantage of a multi-omics approach combined with ultra-resolution imaging and functional analyses to decipher the metabolic shift that transpires in the HF SAN. Our findings revealed significant metabolic remodeling within the SAN mitochondria in HF, with a diminished reliance on fatty acid {beta}-oxidation, enhanced utilization of ketone bodies, and heightened dependence on carbohydrate catabolism. Notably, metabolomics analyses identified the pronounced increase of glucosylceramides and ceramides as one of the mechanisms leading to mitochondrial dysfunction. We directly test this hypothesis and demonstrate that ceramides induce a dose-dependent metabolic shift from oxidative phosphorylation to glycolysis. Importantly, these alterations lead to a significant impairment in SAN automaticity in a dose-dependent manner. Collectively, the findings support the notion that ceramides are not only markers of metabolic derangement, but also active mediators of mitochondrial and metabolic dysfunction in the SAN. Overall, the study provides evidence that ceramides may be a potential therapeutic target for mitigating SAND in HF.

physiology↗

bioRxiv2025

LabOS: The AI Co-Scientist That Sees and Works With Humans

Modern science advances fastest when thought meets action. LabOS represents the first AI co-scientist that unites computational reasoning with physical experimentation through multimodal perception, self-evolving agents, and XR-enabled, embodied human-AI collaboration. To empower agentic AI with embodied intelligence, we built LabSuperVision, the first vision-language-model (VLM) benchmark spanning biomedical and materials science laboratories, designed to evaluate scientific perception and reasoning. This endowed LabOS with visual reasoning capabilities that surpass those of general-purpose models on laboratory-specific tasks. By connecting multi-model AI agents, smart glasses, and human-AI-robot collaboration, LabOS allows AI to see what scientists see, understand experimental context, and participate in real-time execution through immersive XR interaction and robotic autonomation. Across applications-from cancer immunotherapy target discovery to cell engineering-LabOS shows that AI can move beyond computational design to participation, turning the laboratory into an intelligent, collaborative environment where human and machine discovery evolve together.

bioengineering↗

bioRxiv2025

Age-related microbiome metabolites modulate splicing and chromatin accessibility in the brain

The gut microbiome generates diverse metabolites that can enter the bloodstream and alter host biology, including brain function. Hundreds of physiologically relevant, gut-brain signaling molecules likely exist; however, there has been no systematic, high-throughput effort to identify and validate them. Here, we integrate computational, in vitro, and in vivo approaches to pinpoint microbiome-derived metabolites whose blood levels change during aging, and that induce molecular changes in the mouse brain. First, we mine large-scale metabolomics datasets from human cohorts (each n [≥] 1200) to identify 30 microbiome-associated metabolites whose blood levels change with age. We then screen this panel in an in vitro transcriptomic assay to identify metabolites that perturb genes linked to age-related neurodegeneration. To assess in vivo relevance, we then test four metabolites in male mice by acute exposure, using multi-omic approaches to evaluate the metabolites impact on cellular functions in the brain. With RNA-seq, we confirm known effects of trimethylamine N-oxide (TMAO), including changes in mitochondrial pathways, and further discover its effects on the pathways of glycolysis, GABAergic signaling, and RNA splicing. Additionally, using both RNA- and ATAC-seq, we identify glycodeoxycholate (GDCA), a microbiome-derived secondary bile acid, as a potent regulator of chromatin accessibility and of genes involved in protecting the brain from age-related stressors. GDCA also acutely reduces locomotion in male but not female mice. In summary, we present a generalizable framework for identifying microbiome metabolites that impact host biology, and apply it to identify age-related microbial metabolites that affect processes related to brain aging and neurodegeneration.

neuroscience↗

bioRxiv2025

ACTL6A regulates the Warburg effect through coordinated activation of AP-1 signaling in head and neck squamous cell carcinoma

ACTL6a is an essential component of SWI/SNF and expressed on the chromosome 3q26 cytoband, which is amplified in head and neck squamous cell carcinomas (HNSCC). While ACTL6A is emerging as an oncogene, its role as a treatment target and mechanisms of transcription factor induction remain unknown. Here, we show that ACTL6A expression is a mediator of the Warburg effect, with ACTL6A knockdown inducing mitochondrial dependency and significantly decreasing levels of aerobic glycolysis. These effects lead to near complete attenuation of hypoxic cell growth by blunting induction of HIF1 and HIF2 protein expression. They also sensitize treatment resistant HNSCC cells to the tumor killing effects of the complex I inhibitor IACS-010759 in vivo. Using ATAC-seq, we identify ACTL6A as a mediator of chromatin accessibility of AP-1 transcription factor sites and find that it regulates upstream MAPK signaling through induction of Ras and Galectin-1. These effects sensitize ACTL6A over-expressing cells to inhibition of glycolysis by MEK inhibitors. Our results link SWI/SNF subunit amplification with potentiation of MAPK signaling in HNSCC and provide a novel mechanism by which cancer cells drive aerobic glycolysis and reduce mitochondrial dependency. We leverage these findings to propose treatment strategies for hypoxic tumors with SWI/SNF subunit amplifications.

cancer biology↗

bioRxiv2025

A primate model organism for cardiac arrhythmias identifies a magnesium transporter in pacemaker function

Cardiac arrhythmias afflict tens of millions of people, causing one-fifth of all deaths1. Although mouse models have aided understanding of some pacemaker genes and arrhythmias2,3, mice are not known to naturally acquire arrhythmias, and the substantial differences between mouse and human cardiac anatomy and physiology have limited their utility in preclinical studies and pharmacological testing2,4. To establish a primate genetic model organism for arrhythmias, we carried out an electrocardiographic (ECG) screen of over 350 lab and wild mouse lemurs (Microcebus spp.), an emerging model organism that is among the smallest, fastest-reproducing, and most abundant primates5. Twenty-two lemurs (6.2%) were identified with eight different naturally-occurring arrhythmias resembling human ECG pathologies (SSS, PACs, Afib, PVCs, NSVT, STD, iTWs, STE). Pedigree construction showed two were familial, premature atrial contractions (PACs)/atrial fibrillation (Afib) and sick sinus syndrome (SSS), an episodic bradycardia. Genome sequencing of the SSS pedigree mapped the disease locus to a 1.4 Mb interval on chromosome 7 and supported autosomal recessive Mendelian inheritance. The most appealing candidate gene in the interval was SLC41A2, a little studied magnesium transporter6,7. SLC41A2 is expressed in human iPSC-derived sinoatrial node cells (iSANC) and localizes to the sarcoplasmic reticulum. Although mouse SLC41A2 knockouts do not show a cardiac pacemaker phenotype8, CRISPR-mediated SLC41A2 knockout altered human iSANC magnesium dynamics and slowed their calcium transient firing rate. The results suggest SLC41A2 functions cell autonomously and primate-specifically in cardiac pacemaker cells, and that intracellular magnesium dynamics have a crucial but previously unappreciated role in setting pacemaker rate. Thus, mouse lemur is a valuable model for discovering new genes, molecules, and mechanisms of the primate pacemaker, and for identifying novel candidate genes and therapeutic targets for human arrhythmias. The approach can be used to elucidate other primate diseases and traits.

genetics↗

bioRxiv2025

CES1 DEFICIENCY IS ASSOCIATED WITH METABOLIC REPROGRAMING AND ENDOTHELIAL DYSFUNCTION IN PULMONARY ARTERIAL HYPERTENSION

BackgroundPulmonary arterial hypertension (PAH) is a progressive disease characterized by pulmonary microvascular loss and obliterative remodeling, driven by metabolic reprogramming, oxidative stress, and endothelial dysfunction. While BMPR2 mutations contribute to metabolic shifts in pulmonary microvascular endothelial cells (PMVECs), their low penetrance suggests additional genetic modifiers play a role. A genetic screen of PAH PMVECs identified carboxylesterase 1 (CES1)--an endoplasmic reticulum (ER) enzyme involved in lipid metabolism and detoxification--as a candidate regulator of endothelial metabolism and angiogenesis. We hypothesize that CES1 loss promotes endothelial dysfunction via metabolic reprogramming, lipotoxicity, and oxidative stress. MethodsPAH and healthy PMVECs and lung tissues were obtained from transplant donors and commercial sources. CES1 expression was modulated in PMVECs using siRNA knockdown and plasmid overexpression. Mitochondrial and ER function were assessed via confocal microscopy and proteomics. CES1 heterozygous knockout (HET KO) and endothelial-specific knockout (ECKO) mice were exposed to normoxia or hypoxia, with lung tissues analyzed by single-cell RNA sequencing (scRNA-seq) and histopathology. ResultsCES1 expression was significantly reduced in PAH PMVECs and vascular lesions. CES1-deficient PMVECs exhibited increased apoptosis, reactive oxygen species (ROS) production, mitochondrial fragmentation, ER stress, and impaired angiogenesis. Confocal imaging and metabolic studies revealed lipid droplet accumulation, reduced fatty acid oxidation, and a glycolytic shift-- phenotypes reversed by CES1 restoration. Mechanistically, CES1 transcription was induced by BMPR2 via NRF2 activation, a key regulator of redox and metabolic homeostasis. In vivo, CES1-deficient mice developed severe pulmonary hypertension (PH) under hypoxia, with extensive vascular remodeling, right ventricular dysfunction, and dysregulated angiogenesis and lipid metabolism pathways, as confirmed by lung scRNA-seq. ConclusionsCES1 is essential for pulmonary endothelial homeostasis and serves as a critical modifier of BMPR2 signaling. Given the limited efficacy of current PAH therapies in reversing endothelial dysfunction and small-vessel loss, restoring CES1 expression represents a promising therapeutic strategy.

biochemistry↗

bioRxiv2024

Comparative Genomic Analysis of Metal-Tolerant Bacteria Reveals Significant Differences in Metal Adaptation Strategies

Metal-tolerant bacteria have been commercially used in wastewater treatment, bio-fertilizer and soil remediation etc. However, their action mechanisms have not yet been well understood. We screened metal-tolerant bacteria isolated from the rhizosphere soil samples with metal-enriched media containing Cu, Fe or Mn, sequenced and compared the genomes, and analyzed their metal adaptation strategies at genomic levels to better understand their mechanisms of actions. Totally 32 metal-tolerant isolates were identified and classified into 12 genera based on phylogenetic analysis. The determination of MTC and effect of metal ions on the isolates indicated that Serratia marcescens X1, Mammaliicoccus sciuri X26 and Rummeliibacillus pycnus X33 showed the significant differences in metal tolerance to Cu, Fe and Mn with other isolates. They have quite different genomic features to adapt various metal ions. S. marcescens X1 possesses abundant genes required for Cu, Fe and Mn homeostasis. M. sciuri X26 has a number of genes involved in Mn and Zn homeostasis but with no genes responsible for Cu and Ca transport. R. pycnus X33 is rich in Fe, Zn and Mg transport systems but poor in Cu and Mn transport systems. It is thus inferred that the combined use of them would compensate their differences and enhance their ability in accumulating a wider range of heavy metals for promoting their applications in wastewater treatment, soil remediation and organic fertilizer etc. IMPORTANCEMetal-tolerant bacteria have wide applications in environment, agriculture and ecology, but their action strategies have not yet been well understood. We isolated 32 metal-tolerant bacteria from the rhizosphere soil samples. Among them, S. marcescens X1, M. sciuri X26 and R. pycnus X33 showed the significant differences in metal tolerance to Cu, Fe and Mn with other isolates. Comparative genomic analysis revealed that they have abundant and different genomic features to adapt various metal ions. It is thus inferred that the combined use of them would compensate their differences and enhance their ability in accumulating heavy metal ions widening their applications in industry, agriculture and ecology.

microbiology↗

bioRxiv2024

Membrane Curvature Promotes ER-PM Contact Formation via Junctophilin-EHD Interactions

Contact sites between the endoplasmic reticulum (ER) and the plasma membrane (PM) play a crucial role in governing calcium regulation and lipid homeostasis. Despite their significance, the factors regulating their spatial distribution on the PM remain elusive. Inspired by observations in cardiomyocytes, where ER-PM contact sites concentrate on tubular PM invaginations known as transverse tubules (T-tubules), we hypothesize that the PM curvature plays a role in ER-PM contact formation. Through precise control of PM invaginations, we show that PM curvatures locally induce the formation of ER-PM contacts in cardiomyocytes. Intriguingly, the junctophilin family of ER-PM tethering proteins, specifically expressed in excitable cells, is the key player in this process, while the ubiquitously expressed extended synaptotagmin 2 does not show a preference for PM curvature. At the mechanistic level, we find that the low complexity region (LCR) and the MORN motifs of junctophilins can independently bind to the PM, but both the LCR and MORN motifs are required for targeting PM curvatures. By examining the junctophilin interactome, we identify a family of curvature-sensing proteins, Eps15-homology domain containing proteins (EHDs), that interact with the MORN_LCR motifs and facilitate junctophilins preferential tethering to curved PM. These findings highlight the pivotal role of PM curvature in the formation of ER-PM contacts in cardiomyocytes and unveil a novel mechanism for the spatial regulation of ER-PM contacts through PM curvature modulation.

cell biology↗

bioRxiv2024

Specialized Pericyte Subtypes in the Pulmonary Capillary

Pericytes (PCs) play crucial roles in capillary maturation, stability, and homeostasis. Impaired PC coverage and function are implicated in various diseases, including pulmonary arterial hypertension (PAH). Challenges investigating PC biology are largely due to the lack of a concise marker, resulting in difficulty distinguishing PCs from other mural cell populations, including smooth muscle cells (SMCs) and fibroblasts (FBs). Utilizing bioinformatic analysis and RNAscope, we identified HIG hypoxia-inducible domain family member 1B (Higd1b) as a unique and conserved gene marker for PCs and generated a novel knockin mouse line, Higd1b-CreERT2, which precisely labels PCs in the lung and heart. Human lung single-cell RNAseq suggested the presence of two HIGD1B+ PC subtypes with different functions. By lineage tracing pulmonary Higd1b+ cells exposed to hypoxia in vivo, we identified Type 1 PCs remained in the capillary network, while Type 2 PCs accumulated in the arterioles and coexpressed SMC markers and increased levels of Vimentin, associated with focal adhesion pathways. These results suggest that Type 1 PCs are specialized for supporting capillary EC homeostasis and quiescent, while Type 2 PCs are lineage active and located close to the border zone of the arterioles and capillaries, which may be motile and transition to SMC-like cells in hypoxia-induced pulmonary hypertension. The discovery of PC-type specialization in capillaries transforms our understanding of the structure, function and regulation of pulmonary capillary circulation and their contribution to vascular remodeling.

cell biology↗

bioRxiv2024

Personalized transcriptome signatures in a cardiomyopathy stem cell biobank

BACKGROUNDThere is growing evidence that pathogenic mutations do not fully explain hypertrophic (HCM) or dilated (DCM) cardiomyopathy phenotypes. We hypothesized that if a patients genetic background was influencing cardiomyopathy this should be detectable as signatures in gene expression. We built a cardiomyopathy biobank resource for interrogating personalized genotype phenotype relationships in human cell lines. METHODSWe recruited 308 diseased and control patients for our cardiomyopathy stem cell biobank. We successfully reprogrammed PBMCs (peripheral blood mononuclear cells) into induced pluripotent stem cells (iPSCs) for 300 donors. These iPSCs underwent whole genome sequencing and were differentiated into cardiomyocytes for RNA-seq. In addition to annotating pathogenic variants, mutation burden in a panel of cardiomyopathy genes was assessed for correlation with echocardiogram measurements. Line-specific co-expression networks were inferred to evaluate transcriptomic subtypes. Drug treatment targeted the sarcomere, either by activation with omecamtiv mecarbil or inhibition with mavacamten, to alter contractility. RESULTSWe generated an iPSC biobank from 300 donors, which included 101 individuals with HCM and 88 with DCM. Whole genome sequencing of 299 iPSC lines identified 78 unique pathogenic or likely pathogenic mutations in the diseased lines. Notably, only DCM lines lacking a known pathogenic or likely pathogenic mutation replicated a finding in the literature for greater nonsynonymous SNV mutation burden in 102 cardiomyopathy genes to correlate with lower left ventricular ejection fraction in DCM. We analyzed RNA-sequencing data from iPSC-derived cardiomyocytes for 102 donors. Inferred personalized co-expression networks revealed two transcriptional subtypes of HCM. The first subtype exhibited concerted activation of the co-expression network, with the degree of activation reflective of the disease severity of the donor. In contrast, the second HCM subtype and the entire DCM cohort exhibited partial activation of the respective disease network, with the strength of specific gene by gene relationships dependent on the iPSC-derived cardiomyocyte line. ADCY5 was the largest hubnode in both the HCM and DCM networks and partially corrected in response to drug treatment. CONCLUSIONSWe have a established a stem cell biobank for studying cardiomyopathy. Our analysis supports the hypothesis the genetic background influences pathologic gene expression programs and support a role for ADCY5 in cardiomyopathy.

genomics↗

bioRxiv2024

Mitigation of Stress-induced Structural Remodeling and Functional Deficiency in iPSC-CMs with PLN R9C Mutation by Promoting Autophagy

BackgroundPhospholamban (PLN) is a key regulator of cardiac function connecting adrenergic signaling and calcium homeostasis. The R9C mutation of PLN is known to cause early onset dilated cardiomyopathy (DCM) and premature death, yet the detailed mechanisms underlie the pathologic remodeling process are not well defined in human cardiomyocytes. The aim of this study is to unravel the role of PLN R9C in DCM and identify potential therapeutic targets. MethodsPLN R9C knock-in (KI) and patient-specific induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) were generated and comprehensively examined for their expression profile, contractile function, and cellular signaling under both baseline conditions and following functional challenges. ResultsPLN R9C KI iPSC-CMs exhibited near-normal morphology and calcium handling, slightly increased contractility, and an attenuated response to {beta}-adrenergic activation compared to wild-type (WT) cells. However, treatment with a maturation medium (MM) has induced fundamentally different remodeling in the two groups: while it improved the structural integrity and functional performance of WT cells, the same treatment result in sarcomere disarrangement, calcium handling deficiency, and further disrupted adrenergic signaling in PLN R9C KI cells. To understand the mechanism, transcriptomic analysis showed the enrichment of protein homeostasis signaling pathways specifically in PLN R9C KI cells in response to the MM treatment and increased contractile demands. Further studies also indicated elevated ROS levels, interrupted autophagic flux, and increased pentamer PLN aggregation in functionally challenged KI cells. These results were further confirmed in patient-specific iPSC-CM models, suggesting that functional stresses exacerbate the deficiencies in PLN R9C cells through disrupting protein homeostasis. Indeed, treating stressed patient cells with autophagy-accelerating reagents, such as metformin and rapamycin, has restored autophagic flux, mitigated sarcomere disarrangement, and partially rescued {beta}-adrenergic signaling and cardiac function. ConclusionsPLN R9C leads to a mild increase of calcium recycling and contractility. Functional challenges further enhanced contractile and proteostasis stress, leading to autophagic overload, structural remodeling, and functional deficiencies in PLN R9C cardiomyocytes. Activation of autophagy signaling partially rescues these effects, revealing a potential therapeutic target for DCM patients with the PLN R9C mutation. Graphic abstractsA graphic abstract is available for this article.

molecular biology↗

bioRxiv2024

Direct interrogation of context-dependent GPCR activity with a universal biosensor platform

G protein-coupled receptors (GPCRs) are the largest family of druggable proteins in the human genome, but progress in understanding and targeting them is hindered by the lack of tools to reliably measure their nuanced behavior in physiologically-relevant contexts. Here, we developed a collection of compact ONE vector G-protein Optical (ONE-GO) biosensor constructs as a scalable platform that can be conveniently deployed to measure G-protein activation by virtually any GPCR with high fidelity even when expressed endogenously in primary cells. By characterizing dozens of GPCRs across many cell types like primary cardiovascular cells or neurons, we revealed new insights into the molecular basis for G-protein coupling selectivity of GPCRs, pharmacogenomic profiles of anti-psychotics on naturally-occurring GPCR variants, and G-protein subtype signaling bias by endogenous GPCRs depending on cell type or upon inducing disease-like states. In summary, this open-source platform makes the direct interrogation of context-dependent GPCR activity broadly accessible.

biochemistry↗

bioRxiv2023

ADMET-AI: A machine learning ADMET platform for evaluation of large-scale chemical libraries

SummaryThe emergence of large chemical repositories and combinatorial chemical spaces, coupled with high-throughput docking and generative AI, have greatly expanded the chemical diversity of small molecules for drug discovery. Selecting compounds for experimental validation requires filtering these molecules based on favourable druglike properties, such as Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET). We developed ADMET-AI, a machine learning platform that provides fast and accurate ADMET predictions both as a website and as a Python package. ADMET-AI has the highest average rank on the TDC ADMET Benchmark Group leaderboard, and it is currently the fastest web-based ADMET predictor, with a 45% reduction in time compared to the next fastest ADMET web server. ADMET-AI can also be run locally with predictions for one million molecules taking just 3.1 hours. Availability and ImplementationThe ADMET-AI platform is freely available both as a web server at admet.ai.greenstonebio.com and as an open-source Python package for local batch prediction at github.com/swansonk14/admet_ai (also archived on Zenodo at doi.org/10.5281/zenodo.10372930). All data and models are archived on Zenodo at doi.org/10.5281/zenodo.10372418.

bioinformatics↗

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↗