Biology subjects

Chang, E.

Publications and source records attributed to Chang, E..

At least 19 recordsLinked to original sources

bioRxiv2026

AI-driven framework modeling perturbation in brain organoids reveals candidate genes for autism

Autism gene discovery is constrained by the rarity and heterogeneity of damaging variants, requiring large cohorts to identify susceptibility genes. Neural organoids and single-cell foundation models enable perturbation modeling in neurodevelopmental contexts. Here, we show that perturbation-informed foundation modeling of neural organoids can provide functional context for prioritizing candidate genes with genomic and clinical support. We constructed a 3.6-million-cell organoid atlas and trained models to predict genome-wide perturbation responses. Benchmarking 17 models identified a telencephalic neuron-specific model best preserving autism-relevant perturbation structure. Genome-wide profiling revealed two clusters associated with mid-fetal synaptic neuronal processes and early radial glia ubiquitin signaling. These clusters were supported by damaging-variant enrichment and clinical phenotypes across 89,916 family-based samples. Logistic-regression prioritization identified 343 candidates, including 167 in the key clusters, with convergence across TADA signals and recurrent evidence for NBEA and KLHDC10. This framework integrates predicted perturbation effects with genomic evidence to support autism candidate prioritization.

bioinformatics↗

bioRxiv2026

Mechanisms regulating combination effect of antibody-drug conjugates and cancer immunotherapy

Antibody-drug conjugates (ADCs) have emerged as a transformative class of cancer therapeutics with important challenges still to be addressed. Combination of ADC with immunotherapy is a promising strategy but mechanisms and effective application remain to be determined. We evaluated ADC combinations with T cell engagers (TCEs) and checkpoint inhibitors (CPI). ADC-TCE combinations produced robust antitumor activity independent of antigen and payload and persisted despite ADC-related T cell loss. Efficacy was dominated by a direct effect of ADC on tumor cells. ADCs induced autophagy that upregulated TNF receptors (TNFRs) and mannose-6-phosphate receptors (M6PR). When ADCs were combined with TCEs TNF released by T cells was primarily responsible for potent antitumor effect of combination. In contrast, M6PR was dispensable for ADC-TCE activity but critical for combinations with CPI expanded antigen-specific T cells via enhanced granzyme B uptake. These data reveal a unifying, target- and payload-agnostic mechanism enabling rational ADC-immunotherapy combinations. SignificanceThis is first evidence that ADC-induced tumor cell autophagy via up-regulation of TNFR and M6PR could be responsible for potent antitumor effect of combination of ADC with TCE. TCEs exploit a TNF-TNFR axis, whereas antigen-specific T cells leverage granzyme B-M6PR uptake. This mechanistic framework explains broad ADC-TCE synergy and guides rational selection of ADC-immunotherapy combinations beyond checkpoint blockade.

immunology↗

bioRxiv2026

Reaction-diffusion condensation generates a regulatable landscape for self-organizing subcellular structures

Cells self-organize complex internal architectures through an interplay between biochemical signaling and physical structure. Within this paradigm, reaction-diffusion signaling mechanisms create local concentration gradients, and protein condensates assemble in a concentration-dependent manner, providing a natural coupling for a landscape of composite active structures to emerge. Here, we systematically chart this landscape in human cells at scale using RIPPLE (Reaction-diffusion IDR Platform for Producing Living Emulsions), a synthetic modular system that tethers disordered, condensate-forming IDR sequences to a programmable, two-protein wave-generating reaction-diffusion (RD) circuit. Fusing IDRs to the RD Activator, its partner ATPase, or both, generates a vast array of self-organizing subcellular architectures--ranging from traveling condensation waves to oscillating droplet networks to persistent phase-separated macrostructures that pattern the entire cell. By systematically tuning the frequency and amplitude of the underlying RD waveforms, we reveal frequency-dependent transitions regulating dilute, condensed, and aggregated states specified by IDR sequence chemistry and miscibility. RIPPLE provides a platform for understanding and engineering protein condensation far from equilibrium, revealing how signaling and structure can cooperate in a minimal, two-protein system to generate a tunable spectrum of dynamic cellular structures.

Synthetic Biology↗

bioRxiv2026

Pathway-selective mitophagy regulates retinal physiology and neurogenic transitions in Muller glia

Mitochondrial quality control (MQC) is essential for retinal homeostasis, yet how distinct mitophagy pathways are coordinated within specialized retinal cell types remains poorly understood. Here, we show that Muller glia engage distinct mitophagy programmes that are differentially activated across physiological, metabolic stress, and differentiation contexts. Using pathway-resolved analyses supported by mouse and human single-cell transcriptomic datasets, we demonstrate that PINK1-dependent and receptor-mediated mitophagy pathways coexist within Muller glia and exhibit distinct functional and spatial regulation. To enable precise, time-resolved interrogation of these processes, we developed MQ-MG2, a spontaneously immortalised Muller glial model stably expressing the Mito-QC reporter while preserving endogenous mitophagy adaptors and metabolic features of primary Muller cells. Using this system, we identify context-dependent activation of mitophagy pathways with spatial relevance in vivo and reveal transient coordination of PINK1-dependent and receptor-associated mitophagy during Muller glial neurogenic differentiation. Suppression of fission-dependent mitophagy impaired the acquisition of complex neurite features in MQ-MG2, with a comparable phenotype observed following targeted PINK1 deletion in human neurogenic cells. Together, these findings position Muller glia as active integrators of mitochondrial quality control, capable of engaging distinct mitophagy programmes according to cellular context.

cell biology↗

bioRxiv2025

Single-Cell Multiomic Profiling Uncovers Radiation Dosage-Sensitive, Cluster-Specific Regulatory Dynamics in Glioblastoma

Glioblastoma (GBM) is an aggressive brain tumor that inevitably recurs after chemoradiotherapy, resulting in poor patient outcomes. Given GBMs cellular heterogeneity, we hypothesized that radiation induces sub-population specific alterations to survive and adapt to radiation stress. We performed integrated single-cell RNA-seq and ATAC-seq analyses in Glioma Stem-Like Cultures three hours after they were exposed to clinically relevant radiation doses. Radiation reshaped the cellular landscape, altering both cell type composition and GBM subtype distribution. Cluster-specific and shared transcriptional programs were induced in a dose-dependent manner, with differentially expressed genes enriching distinct biological pathways. Chromatin accessibility analyses revealed parallel cluster-specific remodeling, with both opening and closing of regulatory elements linked to functional pathway shifts. Notably, 2 Gy and 6 Gy exposures elicited conserved transcriptional profiles in RNA clusters across different radiation doses. Together, these results highlight immediate radiation-induced transcriptional and chromatin remodeling programs in GBM at single-cell resolution and identify conserved cluster-specific adaptations that may underlie therapeutic resistance.

cancer biology↗

bioRxiv2025

Crystallographic characterisation and development of bi-substrate inhibitors of coronavirus nsp14 methyltransferase

SARS-CoV-2 non-structural protein 14 (nsp14) is essential for viral mRNA cap guanine-N7 methylation and represents a promising but underexplored antiviral target. Herein we describe a structure-guided campaign based on a hit from a focussed SAM mimetic library. Systematic SAR exploration guided by six X-ray co-crystal structures in complex with SARS-CoV-2 led to compound 26, a bi-substrate inhibitor that bridges the SAM and RNA cap binding sites. Compound 26 achieved nanomolar potency against nsp14 from SARS-CoV-2 (IC50 = 53 nM), SARS-CoV-1, and two alphacoronaviruses, with excellent selectivity over human RNMT and flaviviral MTase. In general, the compounds demonstrated favourable metabolic stability, passive permeability, and no HepG2 cytotoxicity. However, cellular antiviral activity was limited, revealing disconnects between enzyme inhibition and phenotypic response. These findings provide a structural framework for optimizing bi-substrate methyltransferase inhibitors against coronaviruses with a view for pan-coronaviral activity.

biochemistry↗

bioRxiv2025

Rat somatic genome editing enables ER+ breast cancer modeling

Genetically engineered mouse models have advanced cancer research but often fail to capture key features of certain human tumors. Rats, with distinct physiology and tumor biology, offer a powerful alternative, yet their use has been constrained by technical barriers to genome editing. Here, we report efficient somatic genome editing in rats, enabling both Indel and substitution mutations. We then apply this approach to model estrogen receptor (ER)-positive breast cancer, which accounts for [~]70% of human cases but remains poorly represented in mice. The resulting rat tumors reproduce hallmarks of human ER+ breast cancer, including ductal histology, hormone responsiveness, and immune-microenvironmental features. By contrast, identical genetic alterations in mice failed to yield ER+ tumors, underscoring critical species differences in tumorigenesis. Together, this work establishes a versatile platform for rapid generation of clinically relevant rat tumor models, opening new avenues to dissect tumor biology, therapeutic response, and immune interactions in previously inaccessible cancer subtypes.

cancer biology↗

bioRxiv2025

CloneCoordinate: Open-source software for collaborative DNA construction

Custom DNA constructs have never been more common or important in the life sciences. Many researchers therefore devote substantial time and effort to molecular cloning, aided by abundant computer-aided design tools. However, support for managing and documenting the construction process, and for effectively handling and reducing the frequency of setbacks, is lacking. To address this need, we developed CloneCoordinate, a free, open-source electronic laboratory notebook specifically designed for cloning and fully implemented in Google Sheets. By maintaining a real-time, automatically prioritized task list, a uniform physical sample inventory, and standardized data structures, CloneCoordinate enables productive, collaborative cloning for individuals or teams. We demonstrate how the information captured by CloneCoordinate can be leveraged to troubleshoot assembly problems and provide data-driven insights into cloning efficiency. CloneCoordinate offers a new and uniquely accessible model for how to carry out, and iteratively improve on, real-world DNA assembly.

synthetic biology↗

bioRxiv2025

A Lipid Prodrug Strategy Enhances Targeted Protein Degrader CNS Pharmacokinetics

Targeted protein degraders that recruit the von-hippel Lindau E3-ligase complex often have poor physicochemical properties, requiring extensive medicinal chemistry optimization prior to use in hypothesis-testing experiments in vivo, and with few blood-brain-barrier permeable examples disclosed. In this study, we systematically examine a panel of fatty acid promoieties as agents to enhance degrader pharmacokinetics and BBB-exposure. We characterize effects on cellular E3-ligase engagement, cellular BRD4 degradation kinetics, murine plasma stability, and murine blood plasma and brain pharmacokinetics and pharmacodynamics. We identify degrader prodrugs with significantly improved CNS exposure relative to the parent degrader. This led to successful BRD4. degradation in perfused brain samples, demonstrating that fatty acid promoieties can accelerate progress towards proof of principle in vivo experiments for CNS degrader projects.

pharmacology and toxicology↗

bioRxiv2025

Epithelia mediate inflammation with myeloid cells in Crohn's disease patients under treatment

Many Crohn's disease patients fail to respond to biologic therapies targeting canonical immune pathways, and the mechanisms underlying treatment non-response remain poorly understood. Integrating single-cell and spatial transcriptomics, we generated a comprehensive mucosal atlas of 380,000 cells spanning the terminal ileum and ascending colon of healthy donors and Crohn's disease patients receiving biologics. We revealed site-specific programs centered on TNF-expressing macrophages embedded within epithelial-stromal networks: follicle-associated enterocytes dictated immune activation in the ileum, while FAP-expressing stromal cells served this role in the colon. Co-expression network analysis further identified lineage-specific programs associating non-response, including a novel epithelial marker BPIFB1 independent of known genetic risk loci. Co-expression marker Z-scores significantly differed between responders and non-responders in published datasets. Together, these findings define a non-responder-specific epithelial-stromal-immune ecosystem that sustains chronic inflammation, providing a framework for stratifying treatment resistance and informing therapeutic strategies in Crohn's disease and other barrier organ disorders.

immunology↗

bioRxiv2025

Fluoxetine Delivery for Wound Treatment Through an Integrated Bioelectronic Device - Pharmacokinetic Parameters and Safety Profile in Swine

Wound infections are a significant medical challenge, often leading to chronicity or systemic infection. Selective serotonin reuptake inhibitors (SSRIs) have emerged as potential non-antibiotic candidates with demonstrated ability to limit growth and biofilm formation in Gram-negative bacteria, in addition to their pro-healing activity. Here, we compared direct delivery of the SSRI fluoxetine by topical bolus dosing to delivery from an iontophoresis bandage device with an actuator for temporally controlled drug delivery, in a porcine excisional wound model. Device delivery of fluoxetine resulted in a maximum concentration of 12.25 ng fluoxetine per mg tissue, compared to 2.926 ng/mg following bolus dosing, and tissue fluoxetine levels were higher after application using the device than after bolus dosing across the range of doses tested (p=0.0041). The half-life of fluoxetine in the wound tissue was 0.988 {+/-} 0.256 days. Fluoxetine was not detected in the pig plasma, and plasma serotonin levels were not affected by the topical application. Fluoxetine delivery using the device, but not bolus delivery, produced tissue concentrations above the minimum inhibitory concentration (MIC) for some clinically important species of bacteria. The experimental device can effectively deliver topical fluoxetine to the wound, producing higher tissue concentrations of fluoxetine at lower cumulative doses compared to bolus dosing, and with minimal risk of off-target effects. The device may simplify wound treatment by reducing the burden for daily drug application, possibly increasing adherence to a prescribed treatment regimen.

bioengineering↗

bioRxiv2025

CD226 identifies effector CD8+ T cells during tuberculosis and costimulates recognition of Mycobacterium tuberculosis-infected macrophages

CD8+ T cells defend against Mycobacterium tuberculosis (Mtb) infection but variably recognize Mtb-infected macrophages. To define how the diversity of lung parenchymal CD8+ T cells changes during chronic infection, cells from C57BL/6J mice infected for 6- and 41-weeks were analyzed by scRNA-seq. We identified an effector lineage, including a cluster that expresses high levels of cytotoxic effectors and cytokines, and dysfunctional lineage that transcriptionally resembles exhausted T cells. The most significant differentially expressed gene between two distinct CD8+ T cell lineages is CD226. Mtb-infected IFN{gamma}-eYFP reporter mice revealed IFN{gamma} production is enriched in CD226+CD8+ T cells, confirming these as functional T cells in vivo. Purified CD226+ but not CD226- CD8+ T cells recognize Mtb-infected macrophages, and CD226 blockade inhibits IFN{gamma} and granzyme B production. Thus, CD226 costimulation is required for efficient CD8+ T cell recognition of Mtb-infected macrophages, and its expression identifies CD8+ T cells that recognize Mtb-infected macrophages. One Sentence SummaryShinkawa et al. discover that CD226 is a functional marker that distinguishes effector from dysfunctional CD8+ T cells in the Mycobacterium tuberculosis (Mtb)-infected lung and has a crucial role in costimulating CD8+ T cell recognition of Mtb-infected macrophages.

immunology↗

bioRxiv2025

CD4 T cell dysfunction is associated with bacterial recrudescence during chronic tuberculosis.

While most people contain Mycobacterium tuberculosis infection, some individuals develop active disease, usually within two years of infection. Why immunity fails after initially controlling infection is unknown. C57BL/6 mice control Mycobacterium tuberculosis for up to a year but ultimately succumb to disease. We hypothesize that the development of CD4 T cell dysfunction permits bacterial recrudescence. We developed a reductionist model to assess antigen-specific T cells during chronic infection and found evidence of CD4 T cell senescence and exhaustion. In C57BL/6 mice, CD4 T cells upregulate coinhibitory receptors and lose effector cytokine production. Single cell RNAseq shows that only a small number of CD4 T cells in the lungs of chronically infected mice are polyfunctional. While the origin and causal relationship between T- cell dysfunction and recrudescence remains uncertain, we propose T cell dysfunction leads to a feed-forward loop that causes increased bacillary numbers, greater T cell dysfunction, and progressive disease.

immunology↗

bioRxiv2025

The Population Genetics of Biological Noise

Information transmission is intrinsic to life, and noise is intrinsic to information transmission. Biological noise during development is essential for the flexibility and plasticity of individual organisms, but also underlies some diseases. Biological noise during reproduction is the fuel for evolution, including the evolution of therapy resistance in pathogenic microbes and in cancer. Recent technological advances in our ability to characterize many sources of biological noise have demonstrated that its amount is often heritable. Here, we frame the population genetics of loci that influence the amount of any source of biological noise. While analogous theory for heritable changes in mean trait values has been established for nearly a century, to our knowledge this is the first general approach for studying the evolution of heritable changes in their statistical distributions. This represents a critical theoretical contribution to an important and rapidly growing domain of intellectual inquiry. It also sheds light on the hypothesis that natural selection can increase evolvability, and generalizes modifier theory used in the tradition of Feldman and colleagues. Author summaryBiological noise is a fact of life. Genetically identical organisms reared in identical environments invariably exhibit random phenotypic differences. And siblings born of the same parent(s) in the same environment are endowed with inheritances that invariably differ at random. While the specific consequences of biological noise are unpredictable, extraordinary experimental advances now make clear that its amount can be influenced by an organisms genetics. For example, high- and low-noise promoter, and high- and low-noise DNA polymerase alleles are well known. This raises the question of when and how natural selection favors high- or low-noise alleles. While biological noise is on average deleterious, it can also occasionally induce high fitness phenotypes. Here, we solve a simple analytic model for the fitness difference between noise alleles that captures both these features. Our model predicts the existence of an evolutionary equilibrium in the amount of noise, whose location reflects just four features of an organisms biology. In light the clinical importance of biological noise, as well as its central role more broadly in both development and evolution, this work provides an urgently needed evolutionary framework for understanding its long-term determinants.

evolutionary biology↗

bioRxiv2024

SMAC mimetics induce human macrophages to phagocytose live cancer cells

Macrophages engulf apoptotic bodies and cellular debris as part of homeostasis, but they can also phagocytose live cells such as aged red blood cells. Pharmacologic reprogramming with the SMAC mimetic LCL161 in combination with T cell-derived cytokines can induce macrophages to phagocytose live cancer cells in mouse models. Here we extend these findings to encompass a wide range of monovalent and bivalent SMAC mimetic compounds, demonstrating that live cell phagocytosis is a class effect of these agents. We demonstrate robust phagocytosis of live pancreatic and breast cancer cells by primary human macrophages across a range of healthy donors. Unlike mouse macrophages where combination of SMAC mimetics with lymphotoxin enhanced phagocytosis, human macrophages were more efficiently polarized to phagocytose live cells by the combination of SMAC mimetics and IFN{psi}. We profiled phagocytic macrophages by transcriptional and proteomic methodologies, uncovering a positive feedback loop of autocrine TNF production.

immunology↗

bioRxiv2024

A comparative network analysis of high-risk MYCN amplified and high-risk MYCN non-amplified neuroblastoma patients

Neuroblastoma is the most common extracranial solid tumor in children. Under contemporary staging guidelines, amplification of MYCN, defined as possessing 10 or more copies of the MYCN gene, is sufficient to classify a patient as high-risk. We aim to investigate the complex genetic landscape of neuroblastoma through a network biology perspective, focusing on complex protein-protein interaction (PPI) networks. Reanalyzing three historical neuroblastoma RNA-Seq datasets, we conducted a comparative network analysis of high-risk MYCN amplified patients and high-risk MYCN non-amplified patients to identify PPI networks that serve as predictive biomarkers for developing high-risk disease. We used R scripts to extract the top 100 most highly expressed genes from each dataset and then analyzed the expression profiles using Proteinarium, a network analysis tool that identifies clusters of patients with shared PPI networks. Statistically significant clusters were annotated and analyzed for network similarity between datasets. Our study isolated four significant clusters with majority high-risk MYCN amplified patients. We annotated the genes unique to high-risk MYCN amplified patients and identified several potential network biomarkers for this particular genotype of neuroblastoma, including ribosome biogenesis (RPL7A, RPL30, RPL35, RPS8), heat shock protein (HSPA8, HSP90AA1, HSP90AB1), matrix metallopeptidase (MMP2, MMP9, MMP13), and collagen (COL2A1, COL5A3, COL6A2, COL11A1, COL16A1) gene networks. The results of this study provide potential therapeutic targets for high-risk MYCN amplified neuroblastoma.

bioinformatics↗

bioRxiv2024

Stretching the structural envelope of isomeric imatinib analogs that reduce β-amyloid production by modulating both β- and γ-secretase cleavages of APP

We previously showed that the anticancer drug imatinib mesylate (IMT, trade name: Gleevec) and a chemically distinct compound, DV2-103 (a kinase-inactive derivative of the potent Abl and Src kinase inhibitor, PD173955) lower A{beta} levels at low micromolar concentrations primarily through a lysosome-dependent mechanism that renders APP less susceptible to proteolysis by BACE1 without directly inhibiting BACE1 enzymatic activity, or broadly inhibiting the processing of other BACE1 substrates. Additionally, IMT indirectly inhibits {gamma}-secretase and stimulates autophagy, and thus may decrease A{beta} levels through multiple pathways. In two recent studies we demonstrated similar effects on APP metabolism caused by derivatives of IMT and DV2-103. In the present study we investigated how so many structurally diverse compounds affect APP metabolism in the same way, with similar potencies and production of APP metabolites. To this end, we synthesized and tested radically altered IMT regioisomers that possess medium structural similarity to IMT. Independent of structural similarity, these isomers manifest widely differing potencies in altering APP metabolism. These will enable us to choose the most potent isomers for further derivatization.

pharmacology and toxicology↗

bioRxiv2024

Eubacterium rectale detoxification mechanism increases resilience of the gut environment

Lachnospiraceae members were highly detected in dysbiotic IL-10 KO mice that displayed similar physiological outcomes as control mice. Lachnospiraceae is a highly diverse family of microbes that have been shown to display both commensal and pathogenic characteristics in the colon environment. We investigated the impact of genetic variation in five Lachnospiraceae strains on lowering cellular inflammation and ROS levels. Cell free spent media (CFSM) from Eubacterium rectale resulted in lowered ROS, and nitric oxide levels in stressed colon cells. We demonstrated through an array of multi omics and molecular techniques that glutathione (GSH) biosynthesized by E. rectale was able to alleviate host ROS damage. We further showed downregulation of cell stress and immune response genes by host RNA sequencing, which is evidence that E. rectale microbial products promote recovery and alleviate ROS stress. HighlightsO_LILachnospiraceae detection correlated with lower host inflammation in vertically transmitted dysbiotic mice C_LIO_LICell free spent media from E. rectale lowered ROS and nitric oxide levels when introduced to stressed Caco-2 cells more effectively than 4 other strains of Lachnospiraceae C_LIO_LIEubacterium rectale spent media products include high levels of glutathione (GSH), carbohydrates, and amino acids C_LIO_LIEubacterium rectale potential gene function for glutathione biosynthesis and metabolism found in the genome C_LIO_LILower expression of repair and stress genes of intestinal cells treated with hydrogen peroxide was observed with E. rectale CFSM as well as treatment with 15 mM GSH C_LI

microbiology↗