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Chung, S.

Publications and source records attributed to Chung, S..

At least 19 recordsLinked to original sources

Affinity Maturation Enables Dual Targeting of Cancer-Associated MUC1-Tn/STn and Drives Potent Tumor Control

A major challenge in solid tumor immunotherapy is identifying tumor-restricted antigens while overcoming intratumoral antigen heterogeneity. The truncated O-glycans Tn (GalNAc-O-Ser/Thr) and STn (Neu5Ac2-6GalNAc-O-Ser/Thr) are aberrantly displayed on the transmembrane glycoprotein MUC1 across a broad spectrum of epithelial malignancies, making MUC1-Tn/STn an attractive shared tumor-associated antigen class. However, heterogeneous intratumoral Tn/STn expression renders single-glycoform-specific antibodies vulnerable to antigen-driven escape. To address this challenge, we used structure-guided directed evolution and yeast surface display to affinity-mature the anti-MUC1-Tn antibody 5E5, generating variants with high-affinity dual recognition of MUC1-Tn and MUC1-STn. Co-crystal structures revealed that heavy-chain CDR loops cooperatively engage the GalNAc moiety primarily through hydrogen-bonding networks, in which HCDR3 residue 98 fine-tunes glycoform preference: Tyr98 favors MUC1-Tn recognition, whereas His98 enhances MUC1-STn engagement, while both support high-affinity recognition of both glycoforms. When reformatted as bispecific T-cell engagers, the affinity-matured variants mediated potent and durable cytolytic activity against cancer cells with heterogeneous glycan profiles, suppressed mixed Tn/STn tumors in vivo where the parental antibody failed, and showed enhanced activity in patient-derived tumor-like clusters. Together, these findings establish functional glycoform coverage as a design principle for antibody engineering, whereby a single paratope is optimized to recognize a defined spectrum of tumor-associated glycoforms while preserving antigen specificity, providing a strategy to overcome glycan heterogeneity in solid tumor immunotherapy.

cancer biology↗

Protein-level mapping reveals novel Immune State Types (ISTs) associated with Chlamydia trachomatis infection, inflammatory remodeling, and scarring in trachoma-hyperendemic Amhara Ethiopia

ABSTRACT Background: Trachoma remains the leading infectious cause of blindness. Over 100M people are at risk, and 1.9M already live with visual impairment or blindness. Ethiopia bears the greatest burden of disease with ~61M or 59% of the known affected global population. Although Chlamydia trachomatis (Ct) infection initiates disease, infection alone fails to explain why inflammation resolves in some but progresses to irreversible scarring and vision loss in others. Previous studies have largely examined gene expression or limited protein panels, leaving the conjunctival immune protein environment poorly characterized. We hypothesized that distinct conjunctival immune states capture these pathogenic processes and could reveal biomarkers for selecting treatment and surveillance strategies. Methods and Findings: We conducted a cross-sectional study of 667 participants residing in the hyperendemic Amhara region of Ethiopia at least one year after the most recent azithromycin mass drug administration to treat Ct. The upper tarsal conjunctivae was graded for TF and TI, trachomatous inflammation-follicular or intense, respectively; I-TS/TT, inflammation with scarring with or without trichiasis, defined as one or more eyelashes touching the globe of the eye; and TS and TT, scarring with or without trichiasis but no inflammation. T0 represented no trachoma. The protein concentrations of 41 immune mediators were quantified using Meso Scale Discovery electrochemiluminescence immunoassays. Associations with infection and grade were evaluated using covariate-adjusted models with false discovery rate correction. Bernoulli mixture modeling (BMM) revealed four distinct Immune State Types (ISTs). Both approaches supported a shared biological framework characterized by selective immune activation in Ct infection, broad inflammation in TF/TI, and chemokine remodeling versus immune quiescence in the scarred conjunctiva. Ct infection was associated with a focused IFN-{gamma}-centered response. IST1 captured this immune response where 51.9% of the participants had Ct; we therefore termed IST1 Quiescent Infection. In contrast, TF/TI was associated with higher concentrations of proinflammatory, Th1/Th17, chemokine, regulatory, and remodeling pathways mediators. This profile fit well within IST2, termed Broad Inflammation, where 72.4% of the participants had TF/TI. TS/TT retained considerable chemokine activity, whereas I-TS/TT showed a narrower, IL-17A-dominant inflammatory profile. BMM separated scarring into two states characterized by distinct profiles: IST3, Conjunctival Remodeling, with significantly stronger chemokine and T-cell maintenance signals; and IST4, Quiescent Scarring, with the majority of chemokines being significantly downregulated. This suggests that scarred conjunctiva can retain substantial immune activity or shift toward a more attenuated state. Conclusions: This study establishes the first IST framework for trachoma, revealing biologically distinct immune states with different potential clinical implications. IST1 indicates the need for antibiotic treatment, whereas IST2 suggests that novel immunotherapeutics might be effective in thwarting disease progression. The upregulated chemokines in IST3 may indicate risk of progression to TT necessitating prospective studies and potential novel antifibrotic interventions. Together, our findings provide a strong biological foundation for stratifying patients by immune state and matching them to preventive and therapeutic care. Prospective validation and streamlined biomarker panels will support the translation of this framework into field settings to help avert disease progression and blindness.

microbiology↗

Coordinated immune-epithelial dynamics in the nasal epithelium protect against respiratory virus infection

Epithelial remodeling is a hallmark of host antiviral responses that strengthen barrier defenses against infection. Our current understanding of viral pathophysiology within the nasal epithelium, the initial site of most respiratory viral infections, remains incomplete due to limited understanding of the native tissue architecture and protective epithelial remodeling during immune events. Leveraging coronavirus disease 2019 (COVID-19) as a model, we applied spatial multi-omics on nasal cross-sectional tissues to characterize the immune-epithelial landscape during infection, identifying a coordinated increase in goblet cells and suppressive macrophages associated with elevated IL13 in the immune compartment. Our results further reveal that goblet cell and suppressive macrophage enrichment are spatially linked in proximity to IL13-expressing CD4 T cells, consistent with IL13-driven remodeling in situ. Using a primary human nasal air-liquid interface model, we demonstrate that IL13 alone is sufficient to remodel epithelial composition and morphology, subsequently restricting viral infection by reshaping the apical mucus barrier of the nasal epithelium. Our findings uncover a spatially organized, IL13-driven circuit for immune-epithelial remodeling as a protective barrier against respiratory viral infections.

immunology↗

An optopharmacological tool for on-demand perturbation of branched actin polymerization

Regulated actin cytoskeletal organization and dynamics are essential for life-sustaining processes in eukaryotic cells. The spatiotemporal regulation of filamentous actin can generate a staggering variety of higher-order architectures to meet diverse cellular needs. However, connecting a specific actin substructure to the selective cellular function remains challenging because tools to specifically inhibit F-actin in a spatiotemporally controlled manner are currently limited. To address this crucial technical gap, we have synthesized and characterized a photocrosslinkable small molecule inhibitor of a major and evolutionarily conserved actin nucleation factor, Arp2/3 complex. The new inhibitor "AZ" combines the specificity of a preexisting inhibitor CK666 with photosensitive crosslinking by an Azido group, such that a light-induced, instantaneous, on-demand, irreversible inhibition of Arp2/3 complex-dependent actin nucleation is achieved in a spatiotemporally defined manner at a subcellular, supracellular, and organismal scale. Whole cell treatment with AZ, followed by subcellular photoirradiation, revealed a divergent actin nucleation homeostasis in the cortex of different cells. Thus, AZ could be a powerful tool to infer actin polymerization homeostasis and network properties in live cells-processes which otherwise remain obscure.

cell biology↗

A pipeline for cell migration analysis in live-cell imaging data from human iPSC-derived forebrain assembloids.

During forebrain development, inhibitory interneurons and oligodendrocyte progenitor cells migrate long distances into the developing dorsal cortex. Human induced pluripotent stem cell-derived forebrain assembloids (FAs) provide direct experimental access to this migratory process in vitro. Using viral labeling to express yellow fluorescent protein (EYFP) and tandem-dimer tomato (tdTomato) driven by EF1 or SOX10 promoters, respectively, we tracked cells in FAs over 15-17h using spinning disk confocal microscopy. We developed an end-to-end processing pipeline for 4D volumetric imaging data, consisting of background subtraction and drift correction, manual cell coordinate tracking, and an analysis workflow to describe migratory cell behavior. Image preprocessing significantly improved data quality for subsequent manual tracking in datasets with heterogeneous labeling density and brightness. Trajectory analysis of 336 EYFP- and 337 tdTomato-labeled cells from twelve FAs indicates that most cells show super-diffusive directed motility. Our pipeline represents a key resource for cell tracking in FAs and similar three-dimensional platforms. This pipeline represents the first open tracking resource for iPSC-derived FAs and can be used as a ground-truth resource for the development of automated cell detection and tracking algorithms.

neuroscience↗

Generative AI designs functional thiolation domains for reprogramming non-ribosomal peptide synthetases

Large language models and generative protein design promise to accelerate biotechnology, but it remains unclear whether they can engineer dynamic megasynth(et)ases whose activity depends on transient, context-specific domain interfaces. Non-ribosomal peptide synthetases (NRPSs) are an especially demanding target, yet a high-value one because they produce many clinically important natural products and offer a route to analogs that are often difficult or impractical to access by chemical synthesis. Here we integrate pretrained generative models (ESM3, ProteinMPNN and EvoDiff) with design-build-test-learn cycles and data-guided prioritization to generate 76 de novo thiolation (T) domains. We built and tested 578 recombinant NRPS variants in vivo spanning minimal, full-length and hybrid assembly lines. AI-designed T-domains supported product formation across architectures, enabled catalytically active hybrids at recombined junctions and increased yields by up to [~]3-fold relative to NRPSs carrying the native T-domain. A representative design showed improved soluble expression, refolding, and a 12 {degrees}C higher melting temperature, while molecular dynamics simulations indicated preserved global stability but reshaped, state-dependent interdomain contact networks. Together, these results establish generative design as an effective route to context-conditioned optimization and reprogramming of biosynthetic assembly lines.

synthetic biology↗

The 'sex-specific effect:' Evaluating analytical approaches to sex-dependence in the behavioral and brain sciences

Detecting a sex difference in response to a treatment or intervention, often reported as a "sex-specific effect," requires statistical comparison of the response across sex. Here, we investigated analytical approaches used to test for such effects in the behavioral and brain sciences. Of 200 recent articles containing terms such as sex-specific or gender-dependent in their titles, only 24% presented appropriate evidence supporting the claim: the effect was compared statistically across sex and results consistent with the claim were reported. In most articles (58%), no test was conducted that could have supported the title claim. Only 15% of studies on non-human animals supported the claim with appropriate evidence, which was significantly less frequently than studies on human participants (34%; p = 0.002). The use of appropriate analytical approaches was unrelated to journal rank or the citation impact of the article. We conclude that claims of sex/gender-dependent effects in the behavioral and brain sciences are only infrequently supported by appropriate evidence.

neuroscience↗

Sparse input representations explain odor discrimination in complex, concentration-varying mixtures

In natural environments, animals must detect behaviorally relevant odors despite variability in both odor mixture composition and stimulus intensity. Although mice can identify salient odors embedded in complex mixtures, how target concentration and background complexity jointly constrain discrimination remains unclear. We trained mice in a two-alternative forced choice task to identify target odors embedded in mixtures containing up to 16 background components. After performance stabilized, we systematically varied target odor concentration. Discrimination accuracy declined with decreasing target concentration but showed little additional dependence on background complexity. Using a biophysically grounded model of olfactory bulb glomerular responses, we show that linear decoding reproduces behavioral performance when intrinsic neural noise dominates over background-driven variability. Manifold capacity analysis revealed that neural representations remain efficiently structured for odor discrimination despite variation in background complexity. These results define a noise-limited regime of olfactory discrimination in which target detectability is primarily constrained by neural sensitivity rather than background interference.

neuroscience↗

Immunopeptidomics reveals peptide antigens preferentially presented in psoriasis lesional skin of HLA-C*06:02 carriers

BackgroundHuman leukocyte antigen (HLA)-C*06:02 is a major genetic risk factor for psoriasis and understanding the HLA-C*06:02-presented peptide antigen repertoire (immunopeptidome) in the skin of patients is crucial for identifying autoantigens. Yet, no skin immunopeptidome data from patients stratified by their HLA-C*06:02 status exists. ObjectiveWe analysed biopsies from lesional and non-lesional skin of patients with psoriasis vulgaris (n=12), guttate psoriasis (n=8), or from skin of healthy controls (n=16). MethodsHLA class I and class II peptide complexes were isolated by serial immunoprecipitation and HLA-bound peptides identified by liquid chromatography-tandem mass spectrometry. HLA-C*06:02 genotyping was performed by polymerase chain reaction. ResultsOver 99,000 non-redundant peptide ligands were identified across all samples. Substantially more HLA class I and class II peptides were detected in lesional psoriatic skin compared to matched non-lesional and healthy skin. Three peptides predicted to bind HLA-C*06:02, including MRASSFLIV from the known psoriasis marker peptidase inhibitor 3 (PI3), were identified in all lesions of HLA-C*06:02-positive patients but were rarely detected or absent in HLA-C*06:02-negative patient lesional skin and not detected at all in unaffected skin. Keratinocyte differentiation-associated protein (KRTDAP) was a notable source of lesion-specific HLA class II ligands contributing three out of six peptides detected in more than half of the lesional samples. ConclusionActive psoriatic lesions display an altered and expanded immunopeptidome compared to unaffected skin. We have identified numerous unreported, lesion-specific HLA-bound peptides and their source proteins. These findings offer insights into the pathobiology of psoriasis and provide a resource for future functional studies. CAPSULE SUMMARYA selection of immunopeptides is presented exclusively in lesional skin of HLA-C*06:02+ patients with psoriasis that may represent antigenic drivers of disease.

immunology↗

Effective computations for hippocampal place cell phenomena in sparse untrained random networks

The mammalian brain processes experience-dependent spatial information through poorly-understood network mechanisms thought to depend on particular network connectivity patterns and activity-dependent synaptic plasticity. However, dedicated input connections that learn to shape information about place cannot easily explain many rodent hippocampal place cell phenomena. For example, representational drift notwithstanding, the discharge of each place cell maps to specific locations in a fixed environment, but the discharge of most cells remap to distinct independent locations across environments, despite the fact that most sub-second cofiring relationships amongst hippocampal neuron pairs persist across environments. Whereas some models of hippocampal spatial information processing rely on the dedicated input connections of a for-purpose connectome (ignoring remapping, representational drift, and maintained cofiring), other models use synaptic plasticity implemented by learning rules to alter random input connections, but struggle with either limited capacity, representational drift, and/or biological implausibility. Here, using a randomly tuned network with feedback inhibition, we examine whether the assumptions of a specific connectome and learning-implemented synaptic plasticity are necessary for diverse place cell phenomena. We find that the random network with non-plastic connections accounts for positional tuning, single place fields in small spaces and multiple place fields in large spaces, mixed selectivity, and remapping, amongst other place cell phenomena. This requires excitatory activity to be sparse and organized across stimuli by divisive normalization. Enabling synaptic plasticity only at the network connections (not at network inputs) accounts for additional place cell phenomena including overdispersion, representational drift, and memory tagging. We show by simulations and analytically that DivSparse, a random network with sparsifying inhibition can explain many features of place cell network activity, suggesting that simple biologically-plausible architectures can realize representations of spatial experience that are robust, flexible, and spontaneous.

neuroscience↗

Targeting FSP1 triggers ferroptosis in lung cancer

Pre-clinical and clinical studies have demonstrated how dietary antioxidants or mutations activating antioxidant metabolism promote cancer, highlighting a central role oxidative stress in tumorigenesis. However, it is unclear if oxidative stress ultimately increases to a point of cell death. Emerging evidence indicates that cancer cells are susceptible to ferroptosis, a form of cell death triggered by uncontrolled lipid peroxidation1-3. Despite broad enthusiasm about harnessing ferroptosis as a novel anti-cancer strategy, whether ferroptosis is a barrier to tumorigenesis and if it can be leveraged therapeutically remains unknown4,5. Using genetically-engineered mouse models (GEMMs) of lung adenocarcinoma (LUAD), we performed tumor specific loss-of-function studies of the two key ferroptosis suppressors, glutathione peroxidase 4 (Gpx4)6,7 and ferroptosis suppressor protein 1 (Fsp1)8,9, and observed increased lipid peroxidation and robust suppression of tumorigenesis, suggesting that lung tumors are highly sensitive to ferroptosis. Furthermore, across multiple pre-clinical models, we found that FSP1 was required for ferroptosis protection in vivo, but not in vitro, underscoring a heightened need to buffer lipid peroxidation under physiological conditions. Lipidomic analyses revealed that Fsp1-knockout (Fsp1KO) tumors had an accumulation of lipid peroxides, and inhibition of ferroptosis with genetic, dietary, or pharmacological approaches effectively restored the growth of Fsp1KO tumors in vivo. Unlike GPX4, FSP1 expression was prognostic for disease progression and poorer survival in LUAD patients, highlighting its potential as a viable therapeutic target. To this end, we demonstrated that pharmacologic inhibition of FSP1 had significant therapeutic benefit in pre-clinical lung cancer models. Our studies highlight the importance of ferroptosis suppression in vivo and pave the way for FSP1 inhibition as a therapeutic strategy in lung cancer patients.

cancer biology↗

Variations in neuronal selectivity create efficient representational geometries for perception

A complete understanding of population coding requires connecting multiple levels of neural processing: individual responses, population representations, and behavior. We link these by relating the distribution of neuronal tuning properties to a populations representational geometry and its efficiency for perceptual tasks. We use theory, analysis of recordings from macaque primary visual cortex (V1), and simulations to reveal how diversity of tuning amplitude and bandwidth enhances the population code for visual discrimination and identification. Both types of diversity drive different, but complementary changes to the representational geometry. Amplitude diversity increases the Euclidean distance between the responses to different stimuli, while bandwidth diversity creates a larger angular distance between them. The first utilizes the range of firing rates available to neurons, and the second exploits the high-dimensional nature of population responses. Population codes can be improved using these two different geometric changes, and amplitude and bandwidth diversity provide biological mechanisms for doing so. HighlightsO_LI- Perceptual performance is improved both by increased diversity of response amplitude and increased diversity of tuning bandwidth. C_LIO_LI- Both kinds of diversity improve visual discrimination and identification. C_LIO_LI- Amplitude diversity improves discrimination more, and bandwidth diversity improves identification more. C_LIO_LI- Representational geometry reveals the mechanisms of these effects. C_LI

neuroscience↗

Myeloid-specific TFAM deficiency drives mitochondrial DNA stress and exacerbates allergic airway inflammation

Asthma is the most prevalent chronic inflammatory lung disease in adolescents and young adults, characterized by persistent airway inflammation and remodeling. Increasing evidence indicates that activated lung macrophages play a significant role in the initiation, intensity, progression, and resolution of allergic airway inflammation. However, the underlying mechanisms regulating macrophage-mediated inflammation in asthma remain incompletely understood. Our previous work revealed increased mitochondrial DNA (mtDNA) depletion and mitochondrial damages in the lungs of asthmatic mice, implicating mitochondrial dysfunction in disease pathogenesis. Given that mitochondrial transcription factor A (TFAM) is essential for mtDNA maintenance and integrity, we hypothesized that TFAM has a fundamental role in regulating mtDNA stress and downstream inflammtroy response in asthma. Using myeloid-specific TFAM knockout (TFAMfl/flLysMcre, TFAM KO) mice subjected to allergens sensitization and challenge, we observed pronounced mitochondrial dysfunction and accentuated asthmatic inflammation. This was accompanied by elevated expression of asthma-associated mediators, including il-13, muc5a/c, muc5b, and ccl17. In addition, TFAM deficiency was associated with increased eosinophilia and and cytosolic mtDNA release, contributing to exacerbated airway pathology. Together, we have identified a critical role of TFAM in myeloid cells that contributes to asthmatic airway inflammation. These results suggest that therapeutic restoration of TFAM function may offer a novel strategy to mitigate mitochondrial stress, reduce airway inflammation, and improve outcomes in patients with moderate to severe asthma.

immunology↗

A transgenic mouse allows to capture the HLA-C*06:02 immunopeptidome in a model of psoriasis

Psoriasis vulgaris is a T cell-mediated autoimmune skin condition affecting around one in fifty people worldwide. Whilst advanced immunomodulatory therapeutic options have become available in recent years, ongoing disease suppression is still required with no curative treatment available to date. The human leukocyte antigen class I allele HLA-C*06:02 is the main genetic risk determinant of psoriasis. Its function is to present peptide antigens to CD8+ T cells and natural killer cells which in turn elicit and perpetuate the immune response, yet little is known about ligands presented by HLA-C*06:02. To gain an understanding which HLA-C*06:02-restricted peptides are presented by epidermal cell populations and might be initiators of the autoimmune response in psoriasis, we have conducted an in depth immunopeptidomics analysis of HLA-C*06:02+ keratinocyte and melanocyte cell lines. Furthermore, we introduce a HLA-C*06:02 transgenic mouse which, in conjunction with the imiquimod model of psoriasis, allowed us to assess the ex vivo immunopeptidome of HLA-C*06:02 in psoriasiform skin. Overall, we detected 20,812 high confidence HLA-C*06:02 bound peptide ligands. Thus, we present a comprehensive coverage HLA-C in vitro immunopeptidomics dataset and the first HLA-C*06:02 ex vivo dataset of psoriasis-relevant peptide antigens that may inform the development of antigen-specific, novel curative therapeutic approaches in psoriasis.

immunology↗

A Single-Cell Atlas Of Human Pediatric Liver Reveals Age-Related Hepatic Gene Signatures

Background & AimsThe liver plays a critical role in metabolism and immune function, yet the contributions of its heterogeneous cell types to these processes remain unclear. While most liver studies focus on adults, pediatric liver diseases often present differently, underscoring the need for age-specific research. Approach & ResultsTo better understand cellular drivers of childhood liver diseases, we generated single-cell RNA-seq (scRNA-seq) maps of the normal pediatric liver and used this map to examine disease-related populations in biopsies from pediatric patients with Intestinal Failure-Associated Liver Disease (IFALD). The normal pediatric liver map consists of 42,660 cells from 9 donors aged 2-17 years. Compared to normal adult liver (26,372 cells; 7 donors, age 26-69) pediatric livers exhibited differences in myeloid populations. Specifically, pediatric Kupffer-like cells (MARCO+C1QA+VSIG4+) exhibited higher expression of immune activation genes, including CCL4, CCL3 and IL1B. In vitro stimulation confirmed more IL1-{beta} secreting myeloid cells in pediatric versus adult livers, supporting these findings. Using the pediatric atlas as a reference, we analyzed three IFALD biopsies (11,969 cells; 3 donors, ages 4 months-9 years) and identified increased expression of fibrosis-associated genes (e.g., LY96) in Kupffer-like cells. Additionally, mesenchymal cells in IFALD showed fibrotic gene modules resembling adult liver cells more than healthy pediatric cells. These signatures, undetectable when comparing IFALD to adult liver alone, highlighting the value of a pediatric map. ConclusionsTaken together, our healthy pediatric liver atlas reveals distinct age-related signatures and provides background against which to interpret pediatric liver disease data. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=194 SRC="FIGDIR/small/649149v2_ufig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@8d4131org.highwire.dtl.DTLVardef@1b336d2org.highwire.dtl.DTLVardef@d43ddeorg.highwire.dtl.DTLVardef@29fadf_HPS_FORMAT_FIGEXP M_FIG C_FIG

genomics↗

Specialized Pro-Resolving Mediator loaded Extracellular Vesicles Mitigate Pulmonary Inflammation

Specialized pro-resolving mediators (SPMs), including lipoxins derived from arachidonic acid and resolvins, protectins, and maresins derived from docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA), orchestrate the active resolution of inflammation. These SPMs are biosynthesized through the coordinated interaction of various cells in a process known as transcellular biosynthesis, involving the sequential action of cyclooxygenase-2 (COX-2), 5-lipoxygenase (5-LOX), 12-lipoxygenase (12-LOX), and/or 15-lipoxygenase (15-LOX) enzymes. Additionally, Aspirin-triggered Resolvins are produced by acetylated COX-2, along with various lipoxygenases. Although SPMs regulate various cellular processes to actively resolve inflammation, their in vivo levels are typically low. To address this limitation, we engineered a multigene expression vector that co-expresses COX-2, 5-LOX, and 15-LOX, potentiating the synthesis of various SPMs. HEK293T cells transfected with this vector and cultured with fatty acid-free BSA-complexed DHA, EPA, and aspirin, successfully mimicked both transcellular and aspirin-triggered biosynthesis of Resolvins. These Resolvins are packaged into extracellular vesicles, which significantly inhibited neutrophil adhesion to endothelial cells, preserved endothelial monolayer barrier integrity, suppressed NF-{kappa}B reporter activity, and enhanced macrophage efferocytosis in vitro. Notably, post-injury administration of Resolvin-loaded EVs mitigated pulmonary inflammation in LPS-treated mice without causing systemic or pulmonary toxicity. In summary, we report a novel cell-based platform for generating Resolvin-loaded EVs that mitigate pulmonary inflammation in mouse models, underscoring their potential for treating other acute inflammatory diseases.

synthetic biology↗

A Single-Cell Woodchuck Liver Atlas Identifies Healthy and Disease-Related Cellular Programs Conserved in Human

BackgroundModel organisms allowing for longitudinal examinations of liver disease pathogenesis are pivotal for the development of new therapeutic modalities. The eastern North American woodchuck develops chronic hepatitis and liver cancer after woodchuck hepatitis virus (WHV) infection, mirroring aspects of the natural history of the human hepatitis B virus (HBV). However, the cellular landscape of the woodchuck liver and the cell-level relevance of WHV infection to HBV infection is currently uncharacterized. MethodsWe employed single-cell RNA sequencing (RNA-seq) to generate an atlas of healthy woodchuck liver (63,389 cells, n=8) and peripheral blood mononuclear cells (PBMCs) (26,972 cells, n=7). Cell-specific and hepatic zonation gene signatures were validated using spatial transcriptomics (n=1). We employed our atlas to examine immune activation in stimulated precision cut-liver slices (PCLS) and disease-related pathway activation in chronic WHV infection (11,797 cells, n=3). We further employed our atlas to examine shared disease pathways between WHV infection and human HBV infection. ResultsOur atlas revealed woodchuck hepatic cellular diversity comparable to human and murine livers. Applying single-nucleus RNA-seq to PMA/ionomycin-stimulated precision cut liver slices revealed inflammation-associated activation signatures in T cell, myeloid and endothelial cell compartment. Finally, we describe intrahepatic T cells in chronic WHV hepatitis with both exhaustion and activation-associated signatures that resemble intrahepatic T cell genes signatures described in human chronic HBV. ConclusionsWe present a multi-omic atlas of healthy, diseased and ex vivo stimulated woodchuck liver. By identifying shared pathological processes between WHV and HBV infections, our findings reinforce the value of this preclinical model in translational research. This resource aims to advance studies on HBV pathogenesis and oncogenesis to speed the development of novel therapeutic strategies. Impact and Implications/Lay summaryThe liver plays important roles in metabolism, detoxification, and immune processes; liver transplantation is often the only treatment option for severe chronic liver diseases. Therefore, developing animal models that reflect human liver disease and can be studied throughout the disease course is crucial for the discovery of new treatment options. The woodchuck is an animal that develops chronic hepatitis and liver cancer after infection with woodchuck hepatitis virus, which models the human hepatitis type B virus infection (HBV) and associated hepatic carcinoma. However, our understanding of the cells that compose the woodchuck liver is limited, making it challenging to design and test cell-based therapeutics. In this study, we atlased the healthy and chronically infected woodchuck liver, found that liver cell types in woodchuck resemble those in humans, and employed the atlas to show similarities between WHV and HBV at the cell level, reinforcing the potential of WHV-infected woodchuck as a model for human HBV disease. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=196 SRC="FIGDIR/small/641192v1_ufig1.gif" ALT="Figure 1"> View larger version (47K): org.highwire.dtl.DTLVardef@18fdd40org.highwire.dtl.DTLVardef@6ccf2org.highwire.dtl.DTLVardef@7923e1org.highwire.dtl.DTLVardef@122a8d2_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

Paired primary-metastasis patient-derived organoids and mouse models identify phenotypic evolution and druggable dependencies of peritoneal metastasis from appendiceal cancer

Peritoneal carcinomatosis is a common yet deadly manifestation of gastrointestinal cancers, with few effective treatments. To identify targetable determinants of peritoneal metastasis, we focused on appendiceal adenocarcinoma (AC), a gastrointestinal cancer that metastasizes almost exclusively to the peritoneum. Current treatments are extrapolated from colorectal cancer (CRC), yet AC has distinct genomic alterations, mucinous morphology and peritoneum restricted metastatic pattern. Further, no stable preclinical models of AC exist, limiting drug discovery and representing an unmet clinical need. We establish a first-in-class stable biobank of 16 long-term cultured AC patient-derived organoids (PDOs), including 3 matched, simultaneously resected primary AC-peritoneal carcinomatosis (AC-PC) pairs. By enriching for cancer cells, AC PDOs enable accurate genomic characterization relative to paucicellular AC tissue. We establish an organoid orthotopic intraperitoneal xenograft model that recapitulates diffuse peritoneal carcinomatosis and show that PC-organoids retain increased metastatic capacity, decreased growth factor dependency and sensitivity to standard of care chemotherapy relative to matched primary AC organoids. Single cell profiling of AC-PC pairs reveals dedifferentiation from mucinous differentiated states in primary AC into intestinal stem cell and fetal progenitor states in AC-PC, with upregulation of oncogenic signaling pathways. Through hypothesis-driven drug testing, we identify KRASMULTI-ON inhibitor RMC-7977 and Wnt-targeting tyrosine kinase inhibitor WNTinib as novel, clinically actionable strategies to target AC-PC more effectively.

cancer biology↗