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Banovich, N.

Publications and source records attributed to Banovich, N..

11 recordsLinked to original sources

IPF distal lung epithelial cells acquire a DNA methylation signature consistent with activation of basal cell transcriptional programs

Idiopathic pulmonary fibrosis (IPF) is a progressive fibrotic interstitial lung disease associated with failed alveolar epithelial repair with an expansion of aberrant airway-like epithelium in the alveolar space leading to lung function decline usually resulting in death within 3-5 years of diagnosis. While single-cell and spatial transcriptomic approaches have been used to characterize disease-emergent cell populations, less is known about the regulation of transcriptional programs that drive failed alveolar epithelial cell repair in IPF. DNA methylation is a fundamental layer of gene regulation that stabilizes differentiated cell identity; however, changes in methylation in the epithelial compartment in IPF have not been studied. To identify novel epigenetic mediators of epithelial cell dysfunction, we performed high-resolution DNA methylation profiling of purified distal lung epithelial cells from 10 age-matched control and 14 IPF lungs using Oxford Nanopore Technologies (ONT) whole-genome, long-read sequencing. We identified widespread methylome remodeling in the IPF lung epithelium, with 84% of differentially methylated regions (DMRs) hypomethylated. DMRs were largely found outside of promoters, with 88% outside of 3 kb from the transcription start site (TSS), consistent with altered distal regulatory element activity. DMRs were enriched for transcription factor (TF) binding site motifs and gene associations consistent with dysregulation of polycomb repressive complex 2 (PRC2) and increases in p63 activity. DNA methylation at DMRs associated with p63 target genes, including KRT5, and genes implicated in failed epithelial repair, including MUC5B, MMP7, and S100A2 inversely correlated with gene expression. Consistent with the observed dysregulation of the IPF epithelial methylome, an experimental co-culture model of alveolar type II epithelial cell (AT2s) to basal-like epithelial cell transdifferentiation revealed widespread hypomethylation. Further, sites associated with NKX2.1 and FOXA1/2 binding, TFs involved in alveolar fate maintenance, were hypermethylated, suggesting loss of epigenetic regulation of alveolar identity. Together, these data implicate DNA methylation in the failed alveolar epithelial repair processes in IPF, potentially providing future therapeutic strategies by identifying putative regulatory elements associated with aberrant transcriptional programs.

molecular biology↗

Patient-Derived Glioma Models Preserve Tumor Heterogeneity and Identify Stearoyl-CoA Desaturase1 (SCD1) as a Candidate Biomarker for Precision Immunotherapy

Background: Pediatric and adult brain tumors, including glioblastoma, astrocytoma, ependymoma, and medulloblastoma, remain associated with poor prognosis despite advances in surgery, radiation, and chemotherapy. Therapeutic resistance, tumor heterogeneity, and treatment-related toxicity highlight the need for clinically relevant models that enable precision medicine and immunotherapy development. Methods: Freshly dispersed tumors (FDTs), low-passage patient-derived brain tumor (PBT) spheroid lines, and matched patient-derived xenograft (PDX) models were established from patients with primary brain tumors. Models were characterized using single-cell and bulk RNA sequencing, whole-exome sequencing, multiparameter flow cytometry, and immunohistochemistry. PBTs were compared with matched FDTs to evaluate model fidelity. Results: PBT lines were established in approximately 68% of cases and retained key patient-specific genomic alterations, including IDH1, MGMT, TP53, and PTEN, with expression of therapeutically relevant targets, including IL13R2, EGFR, HER2, WNT1, JAK1/2, and NOTCH1-4. Gene expression profiles of PBTs closely correlated with matched FDTs (R = 0.38, P = 0.0038). PBT and PDX models preserved intratumoral heterogeneity and non-clonal populations, enabling identification of therapy-resistant subclones during in vitro selection. Molecular analyses identified Stearoyl-CoA Desaturase1 (SCD1) as an overexpressed biomarker across glioma PBTs and matched patient tumors. Ingenuity Pathway Analysis identified SCD1 as an upstream regulator of EGFR-, TP53-, and CYCS-associated signaling networks implicated in tumor progression and immune suppression. Conclusions: Clinically relevant PBT and matched PDX models recapitulate molecular, transcriptional, and histopathological characteristics of primary brain tumors. These platforms provide tools for biomarker discovery, therapeutic testing, and precision immunotherapy development, while identifying SCD1 as a biomarker and therapeutic target in glioma.

cancer biology↗

T-cell Multiomic Analysis Identifies Subsets and Mechanisms of Interaction with Epithelial Cells in Idiopathic Pulmonary Fibrosis

Idiopathic pulmonary fibrosis (IPF) is a fatal interstitial lung disease characterized by progressive scarring and respiratory failure, with a median survival of 3-5 years. While T-cell numbers are elevated in IPF lungs, their contributions to fibrosis beyond inflammation remain poorly understood. Here, we performed multiplex imaging and single-cell RNA and protein profiling on [~]90,000 CD3 T-cells from control and fibrotic lungs, revealing eleven distinct subsets of CD4 and CD8 T-cells. Among these, we identified a rare CD56 regulatory T-cell subset that is highly activated in fibrosis and exhibits a sustained immunosuppressive phenotype. CXCR4/MIF signaling emerged as a central axis mediating T-cell-epithelial interactions, while epidermal growth factor receptor (EGFR) and TGF{beta} pathways dominated in multiple T-cell subsets. Our findings demonstrate that T-cells in IPF adopt nonclassical activation patterns, driven by epithelial interactions and the fibrotic microenvironment. These studies provide a foundation for exploring novel therapeutic strategies in IPF lungs by modulating T-cell behavior and communication networks.

immunology↗

Overcoming myeloid-driven resistance to CAR T therapy by targeting SPP1

Chimeric antigen receptor (CAR) T cell therapy faces notable limitations in treatment of solid tumors. The suppressive tumor microenvironment (TME), characterized by complex interactions among immune and stromal cells, is gaining recognition in conferring resistance to CAR T cell therapy. Despite the abundance and diversity of macrophages in the TME, their intricate involvement in modulating responses to CAR T cell therapies remains poorly understood. Here, we conducted single-cell RNA sequencing (scRNA-seq) on tumors from 41 glioma patients undergoing IL13R2-targeted CAR T cell therapy, identifying elevated suppressive SPP1 signatures predominantly in macrophages from patients who were resistant to treatment. Further integrative scRNA-seq analysis of high-grade gliomas as well as an interferon-signaling deficient syngeneic mouse model--both resistant to CAR T therapy--demonstrated the role of congruent suppressive pathways in mediating resistance to CAR T cells and a dominant role for SPP1+ macrophages. SPP1 blockade with an anti-SPP1 antibody abrogates the suppressive TME effects and substantially prolongs survival in IFN signaling-deficient and glioma syngeneic mouse models resistant to CAR T cell therapy. These findings illuminate the role of SPP1+ macrophages in fueling a suppressive TME and driving solid tumor resistance to CAR cell therapies. Targeting SPP1 may serve as a universal strategy to reprogram immune dynamics in solid tumors mitigating resistance to CAR T cell therapies.

cancer biology↗

Dynamic responses to rejection in the transplanted human heart revealed through spatial transcriptomics

Allograft rejection following solid-organ transplantation is a major cause of graft dysfunction and mortality. Current approaches to diagnosis rely on histology, which exhibits wide diagnostic variability and lacks access to molecular phenotypes that may stratify therapeutic response. Here, we leverage image-based spatial transcriptomics at sub-cellular resolution in longitudinal human cardiac biopsies to characterize transcriptional heterogeneity in 62 adult and pediatric heart transplant (HT) recipients during and following histologically-diagnosed rejection. Across 28 cell types, we identified significant differences in abundance in CD4+ and CD8+ T cells, fibroblasts, and endothelial cells across different biological classes of rejection (cellular, mixed, antibody-mediated). We observed a broad overlap in cellular transcriptional states across histologic rejection severity and biological class and significant heterogeneity within rejection severity grades that would qualify for immunomodulatory treatment. Individuals who had resolved rejection after therapy had a distinct transcriptomic profile relative to those with persistent rejection, including 216 genes across 6 cell types along pathways of inflammation, IL6-JAK-STAT3 signaling, IFN/IFN{gamma} response, and TNF signaling. Spatial transcriptomics also identified genes linked to long-term prognostic outcomes post-HT. These results underscore importance of subtyping immunologic states during rejection to stratify immune-cardiac interactions following HT that are therapeutically relevant to short- and long-term rejection-related outcomes.

genomics↗

Bronchopulmonary Dysplasia with Pulmonary Hypertension Associates with Loss of Semaphorin Signaling and Functional Decrease in FOXF1 Expression

Lung injury in preterm infants leads to structural and functional respiratory deficits, with a risk for bronchopulmonary dysplasia (BPD) that in its most severe form is accompanied by pulmonary hypertension (PH). To examine cellular and molecular dynamics driving evolving BPD in humans, we performed single-cell RNA sequencing of preterm infant lungs in early stages of BPD and BPD+PH compared to term infants. Analysis of the endothelium revealed a unique aberrant capillary cell-state primarily in BPD+PH marked by ANKRD1 expression. Predictive signaling analysis identified deficits in the semaphorin guidance-cue signaling pathway and decreased expression of pro-angiogenic transcription factor FOXF1 within the alveolar parenchyma in neonatal lung samples with BPD/BPD+PH. Loss of semaphorin signaling was replicated in a murine BPD model and in humans with alveolar capillary dysplasia (ACDMPV), suggesting a mechanistic link between the developmental programs underlying BPD and ACDMPV and a critical role for semaphorin signaling in normal lung development.

genomics↗

A Comparative Analysis of Imaging-Based Spatial Transcriptomics Platforms

Spatial transcriptomics is a rapidly evolving field, overwhelmed by a multitude of technologies. This study aims to offer a comparative analysis of datasets generated from leading in situ imaging platforms. We have generated spatial transcriptomics data from serial sections of prostate adenocarcinoma using the 10x Genomics Xenium and NanoString CosMx SMI platforms. Additionally, orthogonal single-nucleus RNA sequencing (snRNA-seq) was performed on the same FFPE tissue to establish a reference for the tumors transcriptional profiles. We assessed various technical aspects, such as reproducibility, sensitivity, dynamic range, cell segmentation, cell type annotation, and congruence with single-cell profiling. The practicality of assessing cellular organization and biomarker localization was evaluated. Although fewer genes are measured (CosMx: 960, Xenium: 377, with an overlap of 125), Xenium consistently demonstrates higher sensitivity, a broader dynamic range, and better alignment with single-cell reference profiles. Conversely, CosMxs out-of-the-box segmentation outperformed Xeniums, resulting in noticeable transcript misassignment in Xenium within certain tissue areas. However, the impact of this on the cells transcriptional profile was minimal. Together, this comprehensive comparison of two leading commercial platforms for spatial transcriptomics provides essential metrics for assessing their performance, offering invaluable insights for future research and technological advancements in this dynamic field.

genomics↗

Integrated characterization of cell types, states and molecular programs in disseminated appendiceal neoplasms

Appendiceal neoplasms include a heterogeneous group of epithelial and non-epithelial tumors with varying malignant potential. Despite the rise in incidence of appendiceal neoplasms in recent years, limited progress has been made in the understanding, management and therapeutic treatment. To comprehensively characterize the cell types and molecular mechanisms driving cellular remodeling in epithelial appendiceal neoplasms, we performed an integrated scRNA-seq study. We analyzed 126,998 cells from 16 appendix samples (11 peritoneal metastases samples, 5 healthy controls) and identified 33 distinct cell types/cell states with seven being cancer-specific. Highlights of our study include the characterization of tumor cells across the histologic spectrum, the identification of a novel cancer-associated-fibroblast (CAF) subtypes (fiCAFs) and the identification of pathologic-specific cellular crosstalk between tumor cells and the tumor microenvironment (TME). Together, our study provides a high-resolution insight into the complexity and heterogeneity of epithelial appendiceal neoplasms and a valuable resource for therapeutic strategies.

genomics↗

Hypoxia-inducible factor-2 (HIF2) regulates alveolar regeneration after repetitive injury

Idiopathic Pulmonary Fibrosis (IPF) is a progressive and often fatal chronic respiratory disease thought to result from repetitive injury and failed repair of the lung alveoli, and recent studies have identified a number of disease-emergent intermediate/transitional cell states in the IPF lung supporting this concept. In this study, we found that persistent activation of hypoxia-inducible factor (HIF)-signaling in airway-derived, repair-associated cell types/states is a hallmark of dysfunctional epithelial repair in the IPF lung epithelium and experimental models of recurrent lung epithelial injury. Disrupting Hif-signaling attenuated experimental lung fibrosis, reduced mucous-secretory cell polarization, and promoted functional alveolar regeneration following repetitive injury. Mouse and human organoid studies demonstrated that small-molecule-based HIF2 inhibition promoted alveolar epithelial cell proliferation and maturation while preventing the emergence of maladaptive intermediate/transitional states analogous to those in IPF. Together, these studies indicate that targeted HIF2-inhibition represents a novel and effective therapeutic strategy to promote functional lung regeneration, and could be readily translated into human studies of IPF and other chronic interstitial lung diseases with disease modifying effect. One sentence summaryInhibiting hypoxia-inducible-factor 2 (HIF2) promotes functional lung alveolar epithelial repair following recurrent injury.

cell biology↗

Integrated Single Cell Atlas of Endothelial Cells of the Human Lung

BackgroundDespite its importance in health and disease, the cellular diversity of the lung endothelium has not been systematically characterized in humans. Here we provide a reference atlas of human lung endothelial cells (ECs), to facilitate a better understanding of the phenotypic diversity and composition of cells comprising the lung endothelium, both in health and disease. MethodsWe reprocessed control single cell RNA sequencing (scRNAseq) data from five datasets of whole lungs that were used for the analysis of pan-endothelial markers, we later included a sixth dataset of sorted control EC for the vascular subpopulation analysis. EC populations were characterized through iterative clustering with subsequent differential expression analysis. Marker genes were validated by immunohistochemistry and in situ hybridization. Signaling network between different lung cell types was studied using connectomic analysis. For cross species analysis we applied the same methods to scRNAseq data obtained from mouse lungs. ResultsThe six lung scRNAseq datasets were reanalyzed and annotated to identify over 15,000 vascular EC cells from 73 individuals. Differential expression analysis of EC revealed signatures corresponding to endothelial lineage, including pan-endothelial, pan-vascular and subpopulation-specific marker gene sets. Beyond the broad cellular categories of lymphatic, capillary, arterial and venous ECs we found previously indistinguishable subpopulations; among venous EC we identified two previously indistinguishable populations, pulmonary-venous ECs (COL15A1neg) localized to the lung parenchyma and systemic-venous ECs (COL15A1pos) localized to the airways and the visceral pleura; among capillary EC we confirmed their subclassification into recently discovered aerocytes characterized by EDNRB, SOSTDC1 and TBX2 and general capillary EC. We confirmed that all six endothelial cell types, including the systemic-venous EC and aerocytes are present in mice and identified endothelial marker genes conserved in humans and mice. Ligand-Receptor connectome analysis revealed important homeostatic crosstalk of EC with other lung resident cell types. Our manuscript is accompanied by an online data mining tool (www.LungEndothelialCellAtlas.com). ConclusionOur integrated analysis provides the comprehensive and well-crafted reference atlas of lung endothelial cells in the normal lung and confirms and describes in detail previously unrecognized endothelial populations across a large number of humans and mice.

cell biology↗

Age-related expression of SARS-CoV-2 priming protease TMPRSS2 in the developing lung

The SARS-CoV-2 novel coronavirus global pandemic (COVID-19) has led to millions of cases and hundreds of thousands of deaths around the globe. While the elderly appear at high risk for severe disease, hospitalizations and deaths due to SARS-CoV-2 among children have been relatively rare. Integrating single-cell RNA sequencing (scRNA-seq) of the developing mouse lung with temporally-resolved RNA-in-situ hybridization (ISH) in mouse and human lung tissue, we found that expression of SARS-CoV-2 Spike protein primer TMPRSS2 was highest in ciliated cells and type I alveolar epithelial cells (AT1), and TMPRSS2 expression was increased with aging in mice and humans. Analysis of autopsy tissue from fatal COVID-19 cases revealed SARS-CoV-2 RNA was detected most frequently in ciliated and secretory cells in the airway epithelium and AT1 cells in the peripheral lung. SARS-CoV-2 RNA was highly colocalized in cells expressing TMPRSS2. Together, these data demonstrate the cellular spectrum infected by SARS-CoV-2 in the lung epithelium, and suggest that developmental regulation of TMPRSS2 may underlie the relative protection of infants and children from severe respiratory illness.

developmental biology↗