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Warner, B. M.

Publications and source records attributed to Warner, B. M..

8 recordsLinked to original sources

ZBTB7B is a Master Regulator of Salivary Acinar Cell Function

Salivary glands exhibit transcriptional programs that distinguish them from other tissues, yet the upstream regulatory logic underlying these programs is not well defined. To identify transcription factors (TFs) that structure salivary identity, we generated RNA-seq and ATAC-seq from human major and minor salivary glands and inferred TF[->]TF regulatory edges from high-confidence chromatin footprints. ZBTB7B emerged as the most connected regulator across salivary samples. To locate regulatory regions associated with salivary-specific transcription, we trained hidden Markov models (HMMs) on chromatin accessibility across 4 Mbp windows surrounding salivary-specific and non-salivary-specific transcription start sites. The resulting chromatin states distinguished promoter-proximal openness from distal enhancer activity and identified salivary-specific enhancers enriched for ZBTB7B motifs. These enhancer states correlated strongly with expression of salivary genes, including AQP5, indicating that distal regulation contributes substantially to salivary transcriptional specificity. To assess the consequences of losing Zbtb7b, we performed single-cell RNA-seq and spatial transcriptomics on submandibular and parotid glands from Zbtb7b knockout mice. Knockout mice exhibited reduced salivary flow, shifts in acinar cell proportions, and the emergence of a neonate-like acinar population characterized by loss of canonical secreted proteins and increased expression of MHC class I genes. These transcriptional and cellular changes occurred despite preserved gland architecture, suggesting that Zbtb7b stabilizes adult acinar identity rather than supporting structural maintenance. Together, these data identify ZBTB7B as a master regulator of salivary transcriptional networks, acting through both promoter-proximal and enhancer-level mechanisms, and demonstrate that loss of Zbtb7b disrupts acinar identity and impairs salivary function.

genomics↗

Myositis-specific autoantibodies recognizing Mi2 also target the autoimmune regulator (AIRE) protein at a shared PHD-zinc finger

ObjectivesIn dermatomyositis patients with anti-Mi2 autoantibodies, autoantibodies can enter muscle cells, leading to the aberrant expression of genes normally repressed by the Mi2/nucleosome remodeling and deacetylation (NuRD) complex. However, the mechanism by which autoantibodies interfere with Mi2/NuRD function remains unclear. This study aimed to identify additional autoantibodies in anti-Mi2-positive patients as well as the specific epitopes recognized by anti-Mi2 and any novel autoantibodies. MethodsPhage ImmunoPrecipitation Sequencing (PhIP-Seq) was used to screen serum samples from anti-Mi2-positive myositis patients for autoantibodies. Enzyme-linked immunosorbent assays (ELISA) and luciferase immunoprecipitation system (LIPS) immunoassays were used to detect autoantibodies in serum samples from myositis patients and healthy controls. ResultsPhIP-Seq identified autoantibodies recognizing the autoimmune regulator (AIRE) in sera from anti-Mi2 autoantibody-positive patients. Both anti-AIRE and anti-Mi2 autoantibodies predominantly recognized a homologous region of the plant homeodomain zinc finger type I (PHD1), which is critical for AIRE and Mi2/NuRD function. ELISA and LIPS testing showed that anti-Mi2 autoantibody-positive patients were positive for anti-AIRE autoantibodies, while AIRE reactivity was largely absent in healthy comparators, anti-Mi2 autoantibody-negative-myositis, and other autoimmune diseases. Affinity-purified anti-Mi2 autoantibodies recognized both Mi2 and AIRE by ELISA, whereas anti-Mi2-depleted immunoglobulin fractions did not recognize either protein. ConclusionsAutoantibodies recognizing Mi2 also recognize AIRE at a homologous PHD1 finger. This region is required by the Mi2/NuRD complex to anchor the nucleosome and consequently repress gene expression. Our findings suggest that anti-Mi2 autoantibodies disrupt NuRD complex function by binding to the PHD1 domain. Further studies are needed to determine if anti-Mi2 autoantibodies bind other PHD1-containing proteins and their functional implications.

immunology↗

The Immunoregulatory Architecture of the Adult Oral Cavity

The immunoregulatory architecture of human oral tissues remains poorly defined despite their central role as barrier interfaces. We present the first integrated single-cell and dual-platform spatial-proteotranscriptomic atlas of oral tissues, profiling >250,000 single-cell transcriptomes and >4 million spatially-resolved cells across 13 niches. Using our AI-enabled AstroSuite (TACIT, Constellation, STARComm, hist2omics), we defined tissue cellular neighborhoods (TCNs) and multicellular interaction modules (MCIMs) in health, revealing peri-epithelial fibroblast-centered hubs enriched for effector cytokines. We harmonized eight fibroblast subtypes (universal, immune, peri-epithelial, peri-vascular, peri-neural, APC-like, stress-responsive, and myofibroblasts) with stress-responsive subtypes partitioning between mucosae (Type I) and glands (Type II). Spatial multiomics mapped receptor-ligand circuits and showed mucosal stress-responsive fibroblasts as immunoregulatory hubs. In chronic periodontitis, niche-aware integration of healthy and diseased datasets revealed rewiring of fibroblast phenotypes and ligand::receptor networks into interdigitated inflammatory and reparative niches. Disease neighborhoods exhibited fragmentation, expansion of MHC-I, MHC-II, and PD-L1 fibroblasts, and predicted spatial engagement with T cells at ectopic lymphoid structures. Drug2Cell analysis highlighted druggable stromal::immune networks. Together, this proteotranscriptomic atlas positions fibroblasts as central architects of structural immunity in human oral tissues and establishes a scalable framework for precision targeting of stromal::immune ecosystems across other barrier organs in health and chronic disease.

cell biology↗

Spatial Deconvolution of Cell Types and Cell States at Scale Utilizing TACIT

Identifying cell types and states remains a time-consuming and error-prone challenge for spatial biology. While deep learning is increasingly used, it is difficult to generalize due to variability at the level of cells, neighborhoods, and niches in health and disease. To address this, we developed TACIT, an unsupervised algorithm for cell annotation using predefined signatures that operates without training data, using unbiased thresholding to distinguish positive cells from background, focusing on relevant markers to identify ambiguous cells in multiomic assays. Using five datasets (5,000,000-cells; 51-cell types) from three niches (brain, intestine, gland), TACIT outperformed existing unsupervised methods in accuracy and scalability. Integration of TACIT-identified cell with a novel Shiny app revealed new phenotypes in two inflammatory gland diseases. Finally, using combined spatial transcriptomics and proteomics, we discover under- and overrepresented immune cell types and states in regions of interest, suggesting multimodality is essential for translating spatial biology to clinical applications.

bioinformatics↗

Polybacterial intracellular coinfection of epithelial stem cells in periodontitis

Periodontitis affects billions of people worldwide. To address interkingdom relationships of microbes and niche on periodontitis, we generated the first sin-gle-cell meta-atlas of human periodontium (34-sample, 105918-cell), harmo-nizing 32 annotations across 4 studies1-4. Highly multiplexed immunofluores-cence (32-antibody; 113910-cell) revealed spatial innate and adaptive immune foci segregation around tooth-adjacent epithelial cells. Sulcular and junctional keratinocytes (SK/JKs) within epithelia skewed toward proinflammatory phe-notypes; diseased JK stem/progenitors displayed altered differentiation states and chemotactic cytokines for innate immune cells. Single-cell metagenomics utilizing unmapped reads revealed 37 bacterial species. 16S and rRNA probes detected polybacterial intracellular pathogenesis ("co-infection") of 4 species within single cells for the first time in vivo. Challenging coinfected primary human SK/JKs with lipopolysaccharide revealed solitary and synergistic ef-fects. Coinfected single-cell analysis independently displayed proinflammatory phenotypes in situ. Here, we demonstrate the first evidence of polybacterial intracellular pathogenesis in human tissues and cells--potentially influencing chronic diseases at distant sites.

cell biology↗

Exposure route, sex, and age influence disease outcome in a golden Syrian hamster model of SARS-CoV-2 infection

The emergence of Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the resultant pandemic of coronavirus disease 2019 (COVID-19) has led to over one hundred million confirmed infections, greater than three million deaths, and severe economic and social disruption. Animal models of SARS-CoV-2 are critical tools for the pre-clinical evaluation of antivirals, vaccines, and candidate therapeutics currently under urgent development to curb COVID-19-associated morbidity and mortality. The golden (Syrian) hamster model of SARS-CoV-2 infection recapitulates key characteristics of severe COVID-19, including high-titer viral replication in the upper and lower respiratory tract and the development of pathogenic lesions in the lungs. In this work we examined the influence of the route of exposure, sex, and age on SARS-CoV-2 pathogenesis in golden hamsters. We report that delivery of SARS-CoV-2 primarily to the nasal passages (low-volume intranasal), the upper and lower respiratory tract (high-volume intranasal), or the digestive tract (intragastric) results in comparable viral titers in the lung tissue and similar levels of viral shedding during acute infection. However, low-volume intranasal exposure results in milder weight loss during acute infection while intragastric exposure leads to a diminished capacity to regain body weight following the period of acute illness. Further, we examined both sex and age differences in response to SARS-CoV-2 infection. Male hamsters, and to a greater extent older male hamsters, display an impaired capacity to recover from illness and a delay in viral clearance compared to females. Lastly, route of exposure, sex, and age were found to influence the nature of the host inflammatory cytokine response, but they had a minimal effect on both the quality and durability of the humoral immune response as well as the susceptibility of hamsters to SARS-CoV-2 re-infection. Together, these data indicate that the route of exposure, sex, and age have a meaningful impact SARS-CoV-2 pathogenesis in hamsters and that these variables should be considered when designing pre-clinical challenge studies.

microbiology↗

North American deer mice are susceptible to SARS-CoV-2

The zoonotic spillover of the pandemic SARS-coronavirus 2 (SARS-CoV-2) from an animal reservoir, currently presumed to be the Chinese horseshoe bat, into a naive human population has rapidly resulted in a significant global public health emergency. Worldwide circulation of SARS-CoV-2 in humans raises the theoretical risk of reverse zoonosis events with wildlife, reintroductions of SARS-CoV-2 into permissive non-domesticated animals, potentially seeding new host reservoir species and geographic regions in which bat SARS-like coronaviruses have not historically been endemic. Here we report that North American deer mice (Peromyscus maniculatus) and some closely related members of the Cricetidae family of rodents possess key amino acid residues within the angiotensin-converting enzyme 2 (ACE2) receptor known to confer SARS-CoV-2 spike protein binding. Peromyscus rodent species are widely distributed across North America and are the primary host reservoirs of several emerging pathogens that repeatedly spill over into humans including Borrelia burgdorferi, the causative agent of Lyme disease, deer tick virus, and Sin Nombre orthohantavirus, the causative agent of hantavirus pulmonary syndrome (HPS). We demonstrate that adult deer mice are susceptible to SARS-CoV-2 infection following intranasal exposure to a human isolate, resulting in viral replication in the upper and lower respiratory tract with little or no signs of disease. Further, shed infectious virus is detectable in nasal washes, oropharyngeal and rectal swabs, and viral RNA is detectable in feces and occasionally urine. We further show that deer mice are capable of transmitting SARS-CoV-2 to naive deer mice through direct contact. The extent to which these observations may translate to wild deer mouse populations remains unclear, and the risk of reverse zoonosis and/or the potential for the establishment of Peromyscus rodents as a North American reservoir for SARS-CoV-2 is unknown. Nevertheless, efforts to monitor wild, peri-domestic Peromyscus rodent populations are likely warranted as the SARS-CoV-2 pandemic progresses.

microbiology↗

ImmunoPET as Stoichiometric Sensor for Glypican-3 in Models of Hepatocellular Carcinoma

BackgroundHepatocellular carcinoma (HCC) is the fifth most common cancer worldwide. While conventional imaging approaches like ultrasound, CT, and MRI play critical roles in the diagnosis and surveillance of HCC, improved methods for detection and assessment of treatment response are needed. One promising approach is the use of radiolabeled antibodies for positron emission tomography (immunoPET) imaging. Glypican-3 (GPC3) is a proteoglycan that is highly expressed in the majority of HCC tumors. GPC3-specific antibodies are used to diagnose HCC histopathologically, and have been proposed as a treatment of HCC. Here, we design, synthesize and demonstrate that our humanized immunoPET agent, [89Zr]Zr-DFO-TAB-H14, can stoichiometrically bind to models of human liver cancer with varied GPC3 expression. Methods: The GPC3-specific monoclonal humanized IgG1, TAB-H14, was used as a scaffold for engineering our immunoPET agent. Fluorescent and deferroxamine (DFO) chelate conjugates of TAB-H14 were characterized using mass spectrometry. Binding affinity of TAB-H14 and conjugates for GPC3 was determined in cell-free biolayer interferometry, and cell-based radioimmunoassays. GPC3-expression was assessed by flow cytometry and immunofluorescence using commercially available anti-GPC3 antibodies and TAB-H14 in GPC3-(A431) and GPC3+ cell lines including an engineered line (A431-GPC3+, G1) and liver cancer lines (HepG2, Hep3B, and Huh7). DFO-TAB-H14, was radiolabeled with Zr-89. Mice were subcutaneously engrafted with the aforementioned cell lines and in vivo target engagement of the immunoPET agent [89Zr]Zr-DFO-TAB-H14 was determined using PET/CT, quantitative biodistribution, and autoradiography. Results: TAB-H14 demonstrated subnanomolar to nanomolar affinity for human GPC3. Fluorescently tagged TAB-H14 was able to bind to GPC3 on cell membranes of GPC3-expressing lines by flow cytometry. These results were confirmed by immunofluorescence staining of A431, G1 HepG2, Hep3B, and Huh7 tumor sections. ImmunoPET imaging with [89Zr]Zr-DFO-TAB-H14 showed stoichiometric tumor uptake corresponding to the cell surface expression levels. Autoradiography and immunostaining confirmed in vivo findings. Conclusion: We systematically demonstrate that the humanized immnoPET agent [89Zr]Zr-DFO-TAB-H14 specifically and stoichiometrically binds to GPC3 in several models of human liver cancer, serving as a promising in vivo GPC3 sensor. This agent may provide utility in HCC diagnosis and surveillance, and the selection of candidates for GPC3-directed therapies.

cancer biology↗