Biology subjects

Chen, Y. E.

Publications and source records attributed to Chen, Y. E..

16 recordsLinked to original sources

bioRxiv2026

RyR2-Mediated Ca2+ Leak Drives Progressive Arrhythmogenic Cardiomyopathy

Background Abnormal sarcoplasmic reticulum (SR) Ca2+ release through ryanodine receptor 2 (RyR2) is a well-established mechanism of ventricular arrhythmias. Whether persistent RyR2 dysfunction can also initiate the structural remodeling characteristic of arrhythmogenic cardiomyopathy (ACM) remains unknown. We tested the hypothesis that chronic RyR2-mediated Ca2+ leak is sufficient to couple electrical instability to progressive cardiomyopathy. Methods We generated a rabbit carrying the severe gain-of-function RyR2-V2475F mutation and characterized disease progression using longitudinal cardiac phenotyping, continuous electrocardiographic monitoring, cellular electrophysiology and Ca2+ imaging, histopathology, biochemical analyses, and single-nucleus RNA sequencing (snRNA-seq). Therapeutic potential was evaluated by continuous treatment with the selective RyR2 inhibitor ent-verticilide for two months. Results RyR2-V2475F rabbits developed spontaneous ventricular tachyarrhythmias, sudden cardiac death, and progressive right ventricular (RV)-dominant fibrofatty cardiomyopathy recapitulating major features of human ACM. Malignant ventricular arrhythmias preceded overt structural remodeling and were associated at the cellular level with early spontaneous Ca2+ release and early afterdepolarizations. Early disease was characterized by remodeling of excitation-contraction coupling with preserved SR Ca2+ load and contractile function despite RyR2 dysfunction; upon disease progression, these compensatory changes were accompanied by SR Ca2+ depletion, impaired RV contractility and reduced left ventricular filling. Single-nucleus transcriptomics identified early fibroblast expansion and predicted cardiomyocyte-centered paracrine signaling before advanced fibrofatty infiltration. Cardiomyocytes also exhibited an altered lipid-metabolic transcriptome and intracellular lipid accumulation, accompanied by enhanced mitochondrial Ca2+ uptake. Selective RyR2 inhibition markedly reduced ventricular tachycardia burden and preserved RV contraction and LV filling during disease progression. Conclusions Severe RyR2 gain-of-function can lead to both malignant ventricular arrhythmias and progressive arrhythmogenic cardiomyopathy in a large-animal model, establishing persistent intracellular Ca2+ dysregulation as a mechanistic link between electrical and structural heart disease. The ability of selective RyR2 inhibition to suppress arrhythmias and preserve cardiac function identifies RyR2 as a potentially actionable therapeutic target in arrhythmogenic cardiomyopathy.

physiology↗

bioRxiv2026

PSMε controls skin commensal CD8+ T cell activation

Upon skin colonization, the prevalent human skin commensal S. epidermidis can elicit a CD8+ T cell response that protects against pathogens or clears tumors. The microbial features that drive this response are undefined, limiting our ability to understand and predict commensal-immune crosstalk and to engineer potent commensal-derived immunotherapies. To uncover these microbial features, we harnessed both the natural variation in CD8+ T cell induction across primary human isolates of Staphylococcus and our ability to genetically manipulate these strains. Stimulatory strains exhibit increased quorum sensing activation, which turns on a unique commensal-associated gene family, called phenol-soluble modulin {varepsilon} (PSM{varepsilon}), that is required for CD8+ T cell activation. PSM{varepsilon} not only acts as the immunodominant CD8+ T cell antigen but also enhances cross-presentation in an antigen-agnostic manner. Co-delivering PSM{varepsilon} promotes CD8+ T cell priming to an exogenous antigen via a mechanism that is independent of formyl peptide receptor and co-stimulatory receptor upregulation. Thus, we demonstrate that specific aspects of microbiome-immune crosstalk can be distilled to molecular components, which engage in previously undescribed mechanisms and can be harnessed for immunotherapy without requiring live bacterial colonization.

immunology↗

bioRxiv2025

Fully computational design of PAM-relaxed Staphylococcus aureus Cas9 with expanded targeting capability

CRISPR-Cas9 nucleases have transformed genome engineering, yet their application is often constrained by protospacer-adjacent motif (PAM) requirements. Staphylococcus aureus Cas9 (SaCas9) is particularly attractive for in vivo applications due to its compact size; however, its NNGRRT PAM limits targetable genomic sites. Here, we report KRH, a SaCas9 variant designed entirely from the wild-type enzyme through a fully computational point-mutation design workflow, UniDesign, without additional experimental optimization. As expected, KRH efficiently recognizes an expanded NNNRRT PAM and exhibits substantially enhanced editing efficiency at non-canonical PAM sites, with improvements of up to 116-fold over the wild type. KRH achieves genome- and base-editing efficiencies comparable to, or exceeding, those of the well-known evolution-derived KKH variant. Computational modeling by UniDesign provides a mechanistic explanation for the PAM relaxation observed in both KRH and KKH, with structural and energetic analyses revealing that KRH relaxes PAM specificity by fine-tuning the balance between sequence-specific interactions with PAM bases and nonspecific contacts with the DNA backbone. Beyond its practical utility, KRH demonstrates that computational design can identify a minimal set of mutations sufficient to remodel the PAM interface while preserving high nuclease activity. This approach recapitulates--and in some cases surpasses--the performance of evolution-derived variants, offering a scalable strategy for high-throughput Cas9 engineering. Overall, these results establish KRH as a blueprint for rationally engineered, PAM-relaxed nucleases and underscores the power of computational design to accelerate next-generation genome editing.

bioengineering↗

bioRxiv2025

Computational design of CYP102A1 variants for the biosynthesis of a next-generation antiplatelet drug DT-678

Clopidogrel is a widely used antiplatelet prodrug to treat acute coronary syndromes. However, its clinical efficacy is hampered by ineffective bioactivation to produce the pharmacologically active metabolite (AM), leading to variability in antiplatelet response among different ethnic groups. To overcome the shortcomings of clopidogrel, DT-678 was developed by conjugating the AM to 3-nitropyridine-2-thiol via a mixed disulfide bond. It has been challenging to produce the conjugate in high yield by chemical synthesis. Here, we report the first de novo biosynthesis of DT-678 using engineered CYP102A1 variants. We applied structure-based computational design using UniDesign to generate three variants (UD4, UD5, and UD6) that enhanced the catalytic activity and selectivity toward DT-678 synthesis. Among them, UD6 demonstrated the highest total turnover number and DT-678-specific productivity under optimized conditions. Mechanistic analysis revealed that rapid enzyme inactivation, driven by reactive oxygen species (ROS) such as superoxide and hydrogen peroxide, limited overall yield. Remarkably, we found that ascorbic acid significantly protected CYP102A1 variants from inactivation and hence increased production yield. This work establishes a scalable enzymatic strategy for DT-678 biosynthesis and highlights the importance of combining protein engineering with redox control to overcome limitations in CYP-catalyzed reactions.

biochemistry↗

bioRxiv2025

Fast, accurate parsing of antibody structures and antibody-antigen interactions enables a comprehensive structural antibody database

Antibody (Ab) structures and antibody-antigen interactions (AAIs) are essential for understanding immune recognition and designing Ab therapeutics. While existing structural Ab databases provide valuable insights, they still have notable limitations. Here, we present SAAINT-parser, an computational workflow for rapid, accurate, and robust extraction of Ab and AAI information from the Protein Data Bank (PDB). SAAINT-parser features precise detection of Ab chains, accurate pairing of Ab chains, and reliable identification of AAIs. The resulting SAAINT-DB contains 18,031 data entries from 9,373 PDB structures, offering a comprehensive and up-to-date resource. Detailed analyses of SAAINT-DB reveals its advantages over the most widely used SAbDab database, particularly in terms of data accuracy and completeness. Furthermore, SAAINT-DB provides nearly twice as many nonredundant, manually curated Ab-Ag binding affinity data compared to SAbDab. Both SAAINT-parser and SAAINT-DB are available as open-source resources, aimed at advancing Ab-related research and benefiting the broader scientific community.

bioinformatics↗

bioRxiv2024

Discovery and engineering of the antibody response against a prominent skin commensal

The ubiquitous skin colonist Staphylococcus epidermidis elicits a CD8+ T cell response pre-emptively, in the absence of an infection1. However, the scope and purpose of this anti-commensal immune program are not well defined, limiting our ability to harness it therapeutically. Here, we show that this colonist also induces a potent, durable, and specific antibody response that is conserved in humans and non-human primates. A series of S. epidermidis cell-wall mutants revealed that the cell surface protein Aap is a predominant target. By colonizing mice with a strain of S. epidermidis in which the parallel {beta}-helix domain of Aap is replaced by tetanus toxin fragment C, we elicit a potent neutralizing antibody response that protects mice against a lethal challenge. A similar strain of S. epidermidis expressing an Aap-SpyCatcher chimera can be conjugated with recombinant immunogens; the resulting labeled commensal elicits high titers of antibody under conditions of physiologic colonization, including a robust IgA response in the nasal mucosa. Thus, immunity to a common skin colonist involves a coordinated T and B cell response, the latter of which can be redirected against pathogens as a novel form of topical vaccination.

microbiology↗

bioRxiv2023

Discovery of microRNA-derived RNAs and proteins in human cells

MicroRNAs (miRNAs) are short noncoding RNAs that can regulate gene expression through the binding of their 5-ends to mRNAs. However, the biological effects of miRNA binding via their 3-ends remain unclear. Here, we discover that the exact reverse pairing of the 3-ends of miRNAs or miRNA-like RNAs, collectively termed microsized RNAs (msRNAs), with template RNAs can initiate the production of msRNA-derived RNAs (msdRs), which can subsequently be translated into polypeptides (msdPs). Using 2,632 human msRNAs from miRBase, 11,121 msdRs and 1,239 msdPs were predicted based on a 15-nucleotide pairing threshold, and the presence of representative msdRs and msdPs was confirmed in human cells. Of clinical relevance, msdP0188 is highly expressed in human lung and breast cancers, and its corresponding msRNAs and msdRs represent novel anti-cancer targets. Notably, inhibiting telomerase reverse transcriptase, a putative RNA-dependent RNA polymerase identified by bioinformatic screening, led to reduced levels of msdP0188 in human cancer cells. Our findings reveal a novel "msRNA [->] msdR [->] msdP" axis, expanding the classical central dogma and predicting many previously unrecognized RNAs and polypeptides with potential biological functions in human cells and other systems.

cell biology↗

bioRxiv2023

Fatty liver-mediated glycine restriction impairs glutathione synthesis and causes hypersensitization to acetaminophen

Non-alcoholic fatty liver disease (NAFLD) affects nearly one third of the population worldwide. Understanding metabolic pathways involved can provide insights into disease progression. Untargeted metabolomics of livers from mice with early-stage steatosis indicated a decrease in methylated metabolites suggesting altered one carbon metabolism. The levels of glycine, a central component of one carbon metabolism, were lower in steatotic mice, in line with clinical evidence. Isotope tracing studies demonstrated that increased synthesis of serine from glycine is the underlying cause for glycine limitation in fatty livers. Consequently, the low glycine availability in steatotic livers impaired glutathione (GSH) synthesis under oxidative stress induced by acetaminophen (APAP), enhancing hepatic toxicity. Glycine supplementation mitigated acute liver damage and overall toxicity caused by APAP in fatty livers by supporting de novo GSH synthesis. Thus, early metabolic changes in NAFLD that lead to glycine depletion sensitize mice to xenobiotic toxicity even at a reversible stage of NAFLD.

biochemistry↗

bioRxiv2023

Decoding CRISPR-Cas9 PAM recognition with UniDesign

The critical first step in CRISPR-Cas mediated gene editing is recognizing a preferred protospacer adjacent motif (PAM) on target DNAs by the proteins PAM-interacting amino acids (PIAAs). Thus, accurate computational modeling of PAM recognition is useful in assisting CRISPR-Cas engineering to relax or tighten PAM requirement for subsequence applications. Here we describe a universal computational protein design framework (UniDesign) for designing protein-nucleic acid interactions. As a proof of concept, we applied UniDesign to decode the PAM-PIAA interactions for eight Cas9 proteins. We show that, given native PIAAs, the UniDesign-predicted PAMs are largely identical to the natural PAMs of all Cas9s. In turn, given natural PAMs, the computationally redesigned PIAA residues largely recapitulated the native PIAAs (>70% and >80% in terms of identity and similarity, respectively). These results demonstrate that UniDesign faithfully captures the mutual preference between natural PAMs and native PIAAs, suggesting it as a useful tool for engineering CRISPR-Cas and other nucleic acid-interacting proteins. UniDesign is open-sourced at https://github.com/tommyhuangthu/UniDesign.

bioinformatics↗

bioRxiv2021

APIR: a universal FDR-control framework for boosting peptide identification power by aggregating multiple proteomics database search algorithms

Advances in mass spectrometry (MS) have enabled high-throughput analysis of proteomes in biological systems. The state-of-the-art MS data analysis relies on database search algorithms to quantify proteins by identifying peptide-spectrum matches (PSMs), which convert mass spectra to peptide sequences. Different database search algorithms use distinct search strategies and thus may identify unique PSMs. However, no existing approaches can aggregate all user-specified database search algorithms with a guaranteed increase in the number of identified peptides and control on the false discovery rate (FDR). To fill in this gap, we propose a statistical framework, Aggregation of Peptide Identification Results (APIR), that is universally compatible with all database search algorithms. Notably, under an FDR threshold, APIR is guaranteed to identify at least as many, if not more, peptides as individual database search algorithms do. Evaluation of APIR on a complex proteomics standard shows that APIR outpowers individual database search algorithms and empirically controls the FDR. Real data studies show that APIR can identify disease-related proteins and post-translational modifications missed by some individual database search algorithms. The APIR framework is easily extendable to aggregating discoveries made by multiple algorithms in other high-throughput biomedical data analysis, e.g., differential gene expression analysis on RNA sequencing data. The APIR R package is available at https://github.com/yiling0210/APIR.

bioinformatics↗

bioRxiv2021

Exosomes from adipose-derived stem cells alleviate myocardial infarction via microRNA-31/FIH1/HIF-1α pathway

Our previous study has revealed that exosomes from adipose-derived stem cells (ASCs) promote angiogenesis in subcutaneously transplanted gels by delivery of microRNA-31 (miR-31) which targets factor inhibiting hypoxia-inducible factor-1 (FIH1) in recipient cells. Here we hypothesized that ASC exosomes alleviate ischemic diseases through miR-31/FIH1/hypoxia-inducible factor-1 (HIF-1) signaling pathway. Exosomes from ASCs were isolated by sequential centrifugations, and were characterized with nanoparticle tracking analysis, transmission electron microscopy, and immunoblotting analysis for exosomal markers. Results from laser imaging of ischemic mouse hindlimb revealed that exosomes enhanced the blood perfusion, and this enhancement was impaired when using miR-31-depleted exosomes. Immunohistochemistry analysis showed that administration of exosomes resulted in a higher arteriole density and larger CD31+ area in ischemic hindlimb than miR-31-delpleted exosomes. Similarly, knockdown of miR-31 in exosomes reduced the effects of the exosomes on increasing ventricular fraction shortening and CD31+ area, and on decreasing infarct size. Exosomes promoted endothelial cell migration and tube formation. These changes were attenuated when miR-31 was depleted in the exosomes or when FIH1 was overexpressed in the endothelial cells. Furthermore, the results from co-immunoprecipitation and luciferase reporter assay demonstrated that the effects of exosomes on elevating the binding of HIF-1 with co-activator p300 and enhancing HIF-1 activity were decreased when miR-31 was depleted in the exosomes or FIH1 was overexpressed. Our findings provide evidence that exosomes from ASCs promote angiogenesis in both mouse ischemic hindlimb and heart through transport of miR-31 which targets FIH1 and therefore triggers HIF-1 transcriptional activation.

molecular biology↗

bioRxiv2021

Eliciting a potent antitumor immune response by expressing tumor antigens in a skin commensal

Immune modulation has become central to treating cancer. However, global immune stimulation is only effective in a subset of patients and can lead to serious complications, including colitis and type I diabetes. Newer modalities like engineered T cells and tumor vaccines are more specific, but they have shown limited efficacy in solid tumors and are difficult to scale. Bacterial strains from the human microbiome can induce antigen-specific T cells to help maintain barrier function. Here, we redirect CD8+ and CD4+ T cells elicited by the skin commensal Staphylococcus epidermidis to recognize tumor cells by expressing tumor-derived antigens in the bacterial cell. S. epidermidis expressing the model antigen ovalbumin (S. epidermidis-OVA) stimulates antigen-specific CD8+ and CD4+ T cells in vitro. The subcellular localization of the antigen skews the response: cell wall-attached OVA preferentially stimulates CD8+ T cells whereas secreted OVA predominantly induces CD4+ T cells. In a syngeneic tumor model (OVA-expressing B16 melanoma), mice colonized topically with S. epidermidis-OVA exhibit a marked reduction in subcutaneous tumor volume compared to mice colonized with S. epidermidis expressing mCherry; this effect is dependent on live bacteria and a combination of CD8+ and CD4+ T cells. S. epidermidis-OVA also reduces tumor burden when tumor cells are injected intravenously (a model of metastasis), demonstrating that the antitumor effect operates in tissues distant from the site of bacterial colonization. S. epidermidis strains expressing neoantigen peptides from the B16 tumor cell line exhibit potent antitumor efficacy without inducing an autoimmune response against melanocytes in healthy tissue. Antigen-expressing colonists are a simple but powerful strategy to elicit a targeted T cell response in the context of cancer and other diseases.

microbiology↗

bioRxiv2020

Clipper: p-value-free FDR control on high-throughput data from two conditions

High-throughput biological data analysis commonly involves identifying features such as genes, genomic regions, and proteins, whose values differ between two conditions, from numerous features measured simultaneously. The most widely-used criterion to ensure the analysis reliability is the false discovery rate (FDR), which is primarily controlled based on p-values. However, obtaining valid p-values relies on either reasonable assumptions of data distribution or large numbers of replicates under both conditions. Clipper is a general statistical framework for FDR control without relying on p-values or specific data distributions. Clipper outperforms existing methods for a broad range of applications in high-throughput data analysis.

bioinformatics↗

bioRxiv2019

Decoding commensal-host communication through genetic engineering of Staphylococcus epidermidis

Commensal skin bacteria elicit potent, antigen-specific immune responses in the skin without barrier breach or visible inflammation. While microbial modulation of immune homeostasis has profound consequences for epithelial health and inflammatory skin diseases, the mechanisms of microbe-immune crosstalk in the skin are largely unknown. A key barrier to mechanistic work has been genetic intractability of one of the most prevalent skin colonists, Staphylococcus epidermidis (S. epidermidis). Here, we develop a novel method to create a library of mutants with defined cell envelope alterations in primary human S. epidermidis isolates. By colonizing mice with these mutants, we uncover bacterial molecules involved in the induction of defined immune signatures. Notably, we show that under conditions of physiologic colonization, S. epidermidis cell envelope glycolipids are sensed by C-type lectin receptors, likely in non-myeloid cells, in conjunction with Toll-like receptors. This combinatorial signaling determines the quality of T cell responses and results in the potential for greater specificity toward commensal microbiota than previously appreciated. Additionally, the microbial molecules required for the colonization-induced immune response are dispensable for T cells responses in a model of S. epidermidis infection, but differentially modulate innate inflammatory responses. Thus, the same microbe uses distinct sets of molecules to signal to the immune system commensal versus pathogenic behavior, and differential sensing of these microbial signals depends on host context.

microbiology↗

bioRxiv2019

Mendelian Randomization Analysis Dissects the Relationship between NAFLD, T2D, and Obesity and Provides Implications to Precision Medicine

BackgroundNon-alcoholic fatty liver disease (NAFLD) is epidemiologically correlated with both type 2 diabetes (T2D) and obesity. However, the causal inter-relationships among the three diseases have not been completely investigated.\n\nAimWe aim to explore the causal relationships among the three diseases.\n\nDesign and methodsWe performed a genome-wide association study (GWAS) on fatty liver disease in [~]400,000 UK BioBank samples. Using this data as well as the largest-to-date publicly available summary-level GWAS data, we performed a two-sample bidirectional Mendelian Randomization (MR) analysis. This analysis tested the causal inter-relationship between NAFLD, T2D, and obesity, as well as the association between genetically driven NAFLD (with two well-established SNPs at the PNPLA3 and TM6SF2 loci) and glycemic and lipidemic traits, respectively. Transgenic mice expressing the human PNPLA3 I148I (TghPNPLA3-I148I) and PNPLA3 I148M (TghPNPLA3-I148M) isoforms were used to further validate the causal effects.\n\nResultsWe found that genetically instrumented hepatic steatosis significantly increased the risk for T2D (OR=1.3, 95% CI: [1.2, 1.4], p=8.3e-14) but not the intermediate glycemic phenotypes at the Bonferroni-adjusted level of significance (p<0.002). There was a moderate, but significant causal association between genetically driven hepatic steatosis and decreased risk for BMI ({beta}=- 0.027 SD, 95%CI: [-0.043, -0.01], p=1.3e-4), but an increased risk for WHRadjBMI (Waist-Hip Ratio adjusted for BMI) ({beta}=0.039 SD, 95%CI: [0.023, 0.054], p=8.2e-7), as well as a decreased level for total cholesterol ({beta}=-0.084 SD, 95%CI [-0.13, -0.036], p=6.8e-4), but not triglycerides ({beta}=0.02 SD, 95%CI [-0.023, 0.062], p=0.36). The reverse MR analyses suggested that genetically driven T2D (OR=1.1, 95% CI: [1.0, 1.2], p=1.7e-3), BMI (OR=2.3, 95% CI: [2.0, 2.7], p=1.4e-25) and WHRadjBMI (OR=1.5, 95% CI: [1.3, 1.8], p=1.1e-6) causally increase the NAFLD risk. In the animal study, as compared to the TghPNPLA3-I148I controls, the TghPNPLA3-I148M mice developed higher fasting glucose level and reduced glucose clearance. Meanwhile, the TghPNPLA3-I148M mice demonstrated a reduced body weight, increased central to peripheral fat ratio, decreased circulating total cholesterol as compared to the TghPNPLA3-I148I controls.\n\nConclusionThis large-scale bidirectional MR study suggests that lifelong, genetically driven NAFLD is a causal risk factor for T2D (hence potentially a \"NAFLD-driven T2D\" subtype) and central obesity (or \"NAFLD-driven obesity\" subtype), but protects against overall obesity; while genetically driven T2D, obesity, and central obesity also causally increase the risk of NAFLD, hence a \"metabolic NAFLD\". This causal relationship revealed new insights into disease subtypes and provided novel hypotheses for precision treatment or prevention for the three diseases.

epidemiology↗

bioRxiv2018

Clinical implications of identifying pathogenic variants in aortic dissection patients with whole exome sequencing

BackgroundThoracic aortic dissection is an emergent life-threatening condition. Routine screening for genetic variants causing thoracic aortic dissection is not currently performed for patients or their family members.\n\nMethodsWe performed whole exome sequencing of 240 patients with thoracic aortic dissection (n=235) or rupture (n=5) and 258 controls matched for age, sex, and ancestry. Blinded to case-control status, we annotated variants in 11 genes for pathogenicity.\n\nResultsTwenty-four pathogenic variants in 6 genes (COL3A1, FBN1, LOX, PRKG1, SMAD3, TGFBR2) were identified in 26 individuals, representing 10.8% of aortic cases and 0% of controls. Among dissection cases, we compared those with pathogenic variants to those without and found that pathogenic variant carriers had significantly earlier onset of dissection (41 vs. 57 years), higher rates of root aneurysm (54% vs. 30%), less hypertension (15% vs. 57%), lower rates of smoking (19% vs. 45%), and greater incidence of aortic disease in family members. Multivariable logistic regression showed significant risk factors associated with pathogenic variants are age <50 [odds ratio (OR) = 5.5; 95% CI: 1.6-19.7], no history of hypertension (OR=5.6; 95% CI: 1.4-22.3) and family history of aortic disease (mother: OR=5.7; 95% CI: 1.4-22.3, siblings: OR=5.1; 95% CI 1.1-23.9, children: OR=6.0; 95% CI: 1.4-26.7).\n\nConclusionsClinical genetic testing of known hereditary thoracic aortic dissection genes should be considered in patients with aortic dissection, followed by cascade screening of family members, especially in patients with age-of-onset of aortic dissection <50 years old, family history of aortic disease, and no history of hypertension.

genetics↗