Faculty Bibliography

Gynecologic neuroectodermal tumors either exhibit central nervous system (CNS) differentiation (CNS-like) or represent Ewing sarcoma (EWS) which lacks CNS features and harbors FET-ETS gene fusions. DNA methylation profiling reclassified CNS primitive neuroectodermal tumors into common CNS neoplasms or embryonal tumors with specific epigenetic/ genetic characteristics. Its utility in classifying gynecologic neuroectodermal tumors is unknown. Whole genome DNA methylation profiling was performed on 26 gynecologic neuroectodermal tumors (22 CNS-like tumors, 4 EWS) arising in the ovary, paratubal soft tissue, uterus, and vulva, which were classified by using sarcoma and CNS tumor DNA methylation classifiers. Sarcoma-related gene fusions were confirmed by fluorescence in situ hybridization (FISH) or targeted RNA next generation sequencing (NGS). Tumor only whole exome sequencing (WES) was performed in 13 cases. Copy number alterations and zygosity were inferred from DNA methylation array and WES data. Methylation abnormalities associated with imprinting were examined. The sarcoma methylation classifier identified EWS (n=3) and high-grade endometrial stromal sarcoma (n=1), confirmed by FISH or NGS detection of EWSR1 and YWHAE rearrangements, respectively. The remaining CNS-like tumors were classified by DNA methylation with positive/valid (n=4), indeterminate (n=9), and negative (n=9) scores at family level. Methylation subclasses included teratoma; embryonal tumor with multilayered rosettes, atypical; medulloblastoma, SHH-activated, subtype 3; medulloblastoma, group 3; intraocular medulloepithelioma; supratentorial ependymoma, ZFTA::RELA fused, subclass A; and diffuse pediatric-type high-grade glioma, MYCN subtype. Male gender was predicted in 54% of methylation-confirmed CNS-like tumors and none of the sarcomas. Among CNS-like tumors, copy number analyses identified genome-wide chromosomal gains and losses, and WES revealed genome-wide allelic imbalance suggestive of genome wide duplications. Epigenetic imprinting analyses showed increased paternal or maternal imprinting signal across multiple chromosomes suggesting uniparental duplication. DNA methylation profiling successfully classified gynecologic neuroectodermal tumors as known CNS tumor or sarcoma entities. Epigenetic and exomic studies suggest a male genome and increased maternal allelic contribution in CNS-like tumors, suggesting development via conception or chimerism.

Plasmacytoid dendritic cells (pDCs) mount powerful antiviral type I interferon (IFN-I) responses, yet only a fraction of pDCs produces high levels of IFN-I. Here we report that peripheral pDCs in naive mice comprise three subsets (termed A, B and C) that represent progressive differentiation stages. This heterogeneity was generated by tonic IFN-I signaling elicited in part by the cGAS/STING and TLR9 DNA-sensing pathways. A small 'IFN-I-naive' subset (pDC-A) could give rise to other subsets; it was expanded in STING deficiency or after the IFN-I receptor blockade, but was abolished by exogenous IFN-I. In response to RNA viruses, pDC-A showed increased Bcl2-dependent survival and superior IFN-I responses, but was susceptible to virus infection. Conversely, the majority of pDCs comprised the 'IFN-I-primed' subsets (pDC-B/C) that showed lower IFN-I responses and poor survival, but did not support virus replication. Thus, tonic IFN-I signaling decreases the cytokine-producing capacity and survival of pDCs but increases their virus resistance, facilitating optimal antiviral responses.

The understanding of the mechanisms that control key features of immune cells in various disease contexts remains limited, and few techniques are available for manipulating immune cells. Thus, discovering novel strategies for regulating immune cells is essential for gaining insight into their roles in health and disease. In this study, we investigated the potential of the recently described Universal Receptive System to regulate human immune cell functions. This was achieved for the first time by specifically targeting newly discovered surface-bound DNA- and RNA-based receptors on leukocytes using endonucleases and generating "Leukocyte-Tells." Using this approach, 1,496 genes were upregulated, many of which are related to immune cell signaling, migration, endocytosis, and phagocytosis pathways. The antimicrobial and anticancer activities of Leukocyte-Tells exceeded those of control leukocytes in vitro. Under some conditions, such as in antibiofilm experiments against biofilms of Staphylococcus spp., Pseudomonas spp, Candida spp., and other microorganisms, Leukocyte-Tells showed up to 1,000,000-fold higher activities than did control leukocytes. Additionally, Leukocyte-Tells exhibited significantly higher levels of TNF, IL-1β, IFN-γ, IL-6, and IL-10 production. Our findings reveal, for the first time, that the Universal Receptive System can orchestrate fundamental properties of immune cells, including enhanced antimicrobial and anti-tumor activities. This novel approach offers a new avenue for understanding the biology and regulation of white blood cells. Regulation of leucocyte activity is crucial for a properly functioning immune response and developing novel cell-based therapies. Our previous findings demonstrated the existence of nucleic acid-based receptors (Teazeled receptors, TezRs) that govern the responses of various cell types to a diverse array of environmental factors. Here, we discovered that by modulating these TezRs, we could upregulate immune cell signaling, migration, endocytosis, and phagocytosis pathways in leukocytes. By leveraging TezRs, we generated Leukocyte-Tells, which exhibited significantly higher antimicrobial and anticancer activities than the original immune cells.

Disorders affecting the hair follicle (HF) and pilosebaceous unit impose psychosocial and financial burdens on patients and may signal risk for other medical conditions. Human genetic studies help to identify key physiological mechanisms that govern health and are increasingly used to improve drug development. GWASs identify genetic variants that are common in the population and implicate disease mechanisms that are widely shared among patients. In this study, we synthesize knowledge about the biology of the pilosebaceous unit that has been derived from GWASs of hair-related diseases. We identify the key genetic drivers and reveal fundamental biological themes that cut across diseases to identify crucial regulators of HF health.

UNLABELLED:Deep learning methods for image segmentation and classification in histopathology generally utilize supervised learning, relying on manually created labels for model development. Here, we applied a self-supervised framework to characterize kidney histology without the use of pathologist annotations, training on whole slide images to identify histomorphological phenotype clusters (HPCs) and create slide-level vector representations. HPCs developed in the training set were visually consistent when transferred to five diverse internal and external validation sets (1,421 WSIs in total). Specific HPCs were reproducibly associated with slide-level pathologist quantifications, such as interstitial fibrosis (AUC = 0.83). Additionally, hierarchical clustering of tissue patterns revealed patient groups related to kidney function and genotype, and specific HPCs predicted longitudinal kidney function decline. Overall, we demonstrated the translational application of a self-supervised framework to summarize distinct kidney tissue patterns with phenotypic and prognostic relevance. SUPPLEMENTARY INFORMATION:The online version contains supplementary material available at 10.1038/s41598-025-19193-2.

Breast tumors harbor dynamic microenvironments, with multiple immune cell types playing opposing roles during tumor progression and/or response to therapy. Tumor-associated macrophages promote mammary tumorigenesis, whereas the role of mammary tissue macrophages (MTMs) remains incompletely understood. High-dimensional immunostaining of murine mammary tumor progression revealed that MTMs were localized in the peritumoral stroma and associated with eosinophils, which were previously shown to facilitate antitumor T cell responses. The depletion of MTMs accelerated tumorigenesis in both spontaneous and orthotopically transplanted mammary tumor models. Upon induction of a productive antitumor response via the depletion of regulatory T cells, MTMs assumed an alternatively activated state and expressed eotaxins, thereby attracting eosinophils to peritumoral regions. MTMs expressed the receptor for the alarmin IL-33, which induced both MTM activation and eosinophil recruitment. These results suggest that MTMs can sense IL-33 and recruit eosinophils to facilitate antitumor immunity, a mechanism that may operate during tumor progression and be further enhanced during productive antitumor responses.

Revealing insights into the function of microbial communities requires moving beyond measuring bulk taxonomic composition to detecting interactions between subpopulations. Following the transformative impact of single-cell gene expression profiling techniques on numerous fields of human biology, recent years have seen increased application to microbes. We review progress in the development of these techniques and discuss challenges in applying them to microbial communities. We highlight applications for dissecting the microbiome in human health and disease that reveal functional heterogeneity within gut communities, antibiotic responses, and the dynamics of mobile genetic elements. As single-cell gene expression technologies continue to develop, they are becoming ever more essential for examining and modulating the role of microbial communities in clinical and wider environments.

Phenotype switching is a form of cellular plasticity in which cancer cells reversibly move between two opposite extremes: proliferative versus invasive states^1,2. Although it has long been hypothesized that such switching is triggered by external cues, the identity of these cues remains unclear. Here we demonstrate that mechanical confinement mediates phenotype switching through chromatin remodelling. Using a zebrafish model of melanoma coupled with human samples, we profiled tumour cells at the interface between the tumour and surrounding microenvironment. Morphological analysis of interface cells showed elliptical nuclei, suggestive of mechanical confinement by the adjacent tissue. Spatial and single-cell transcriptomics demonstrated that interface cells adopted a gene program of neuronal invasion, including the acquisition of an acetylated tubulin cage that protects the nucleus during migration. We identified the DNA-bending protein HMGB2 as a confinement-induced mediator of the neuronal state. HMGB2 is upregulated in confined cells, and quantitative modelling revealed that confinement prolongs the contact time between HMGB2 and chromatin, leading to changes in chromatin configuration that favour the neuronal phenotype. Genetic disruption of HMGB2 showed that it regulates the trade-off between proliferative and invasive states, in which confined HMGB2^high tumour cells are less proliferative but more drug-resistant. Our results implicate the mechanical microenvironment as a mechanism that drives phenotype switching in melanoma.

Hair traits are nonpathogenic features that vary among individuals. Unlike hair follicle (HF) diseases, which are rare in the population, hair traits can be measured in everyone. This facilitates the construction of large cohorts that are well-powered for gene discovery. GWASs identify genetic variants that are widely shared among people globally, providing knowledge with broad population relevance. We compile findings from hair trait GWASs to deepen our understanding of HF biology. In reviewing genetic factors that influence hair traits, we demonstrate overlap with disease genes, underscoring that genetic studies of traits improve our knowledge about health and disease.