Unsupervised clustering is a powerful machine-learning technique widely used to analyze high-dimensional biological data. It plays a crucial role in uncovering patterns, structures, and inherent relationships within complex datasets without relying on predefined labels. In the context of biology, high-dimensional data may include transcriptomics, proteomics, and a variety of single-cell omics data. Most existing clustering algorithms operate directly in the high-dimensional space, and their performance may be negatively affected by the phenomenon known as the curse of dimensionality. Here, we show an alternative clustering approach that alleviates the curse by sequentially projecting high-dimensional data into a low-dimensional representation. We validated the effectiveness of our approach, named automated projection pursuit (APP), across various biological data modalities, including flow and mass cytometry data, scRNA-seq, multiplex imaging data, and T-cell receptor repertoire data. APP efficiently recapitulated experimentally validated cell-type definitions and revealed new biologically meaningful patterns.

ABSTRACTPre-existing anti-interferon alpha (anti-IFN-α) autoantibodies in blood are associated with susceptibility to life-threatening COVID-19. However, it is unclear whether anti-IFN-α autoantibodies in the airways – the initial site of infection – can also determine disease outcomes. In this study, we developed a new multiparameter technology, flowBEAT, to quantify and profile the isotypes of anti-IFN-α and anti-SARS-CoV-2 antibodies in longitudinal samples collected over 20 months from the airway and matching blood of 129 donors with mild, moderate, and severe COVID-19. We found unexpectedly that nasal anti-IFN-α autoantibodies were induced post-infection onset in more than 70% of mild to moderate COVID-19 cases and associated with robust anti-SARS-CoV-2 immunity, fewer symptoms, and efficient recovery. Nasal anti-IFN-α autoantibodies followed the peak of host IFN-α production and waned with disease recovery, revealing a regulated balance between IFN-α and anti-IFN-α response. Notably, only a subset of mild to moderate patients progressed to develop systemic anti-IFN-α, which correlated with systemic inflammation and worsened symptoms. In contrast, patients with life-threatening COVID-19 sustained elevated anti-IFN-α in both airways and blood, coupled with uncontrolled viral load and IFN-α production. Our studies thereby reveal a novel protective role for nasal anti-IFN-α autoantibodies in the immunopathology of COVID-19 and, more broadly, suggest that anti-IFN-α may serve an important regulatory function to restore homeostasis following viral invasion of the respiratory mucosa.

Myeloid cells comprise the majority of immune cells in tumors, contributing to tumor growth and therapeutic resistance. Incomplete understanding of myeloid cells response to tumor driver mutation and therapeutic intervention impedes effective therapeutic design. Here, by leveraging CRISPR/Cas9-based genome editing, we generate a mouse model that is deficient of all monocyte chemoattractant proteins. Using this strain, we effectively abolish monocyte infiltration in genetically engineered murine models of de novo glioblastoma (GBM) and hepatocellular carcinoma (HCC), which show differential enrichment patterns for monocytes and neutrophils. Eliminating monocyte chemoattraction in monocyte enriched PDGFB -driven GBM invokes a compensatory neutrophil influx, while having no effect on Nf1 -silenced GBM model. Single-cell RNA sequencing reveals that intratumoral neutrophils promote proneural-to-mesenchymal transition and increase hypoxia in PDGFB -driven GBM. We further demonstrate neutrophil-derived TNF-a directly drives mesenchymal transition in PDGFB -driven primary GBM cells. Genetic or pharmacological inhibiting neutrophils in HCC or monocyte-deficient PDGFB -driven and Nf1 -silenced GBM models extend the survival of tumor-bearing mice. Our findings demonstrate tumor-type and genotype dependent infiltration and function of monocytes and neutrophils and highlight the importance of targeting them simultaneously for cancer treatments.

Troubling disparities in COVID-19-associated mortality emerged early, with nearly 70% of deaths confined to Black/African American (AA) patients in some areas. However, targeted studies on this vulnerable population are scarce. Here, we applied multiomics single-cell analyses of immune profiles from matching airways and blood samples of Black/AA patients during acute SARS-CoV-2 infection. Transcriptional reprogramming of infiltrating IFITM2+/S100A12+ mature neutrophils, likely recruited via the IL-8/CXCR2 axis, leads to persistent and self-sustaining pulmonary neutrophilia with advanced features of acute respiratory distress syndrome (ARDS) despite low viral load in the airways. In addition, exacerbated neutrophil production of IL-8, IL-1 beta, IL-6, and CCL3/4, along with elevated levels of neutrophil elastase and myeloperoxidase, were the hallmarks of transcriptionally active and pathogenic airway neutrophilia. Although our analysis was limited to Black/AA patients and was not designed as a comparative study across different ethnicities, we present an unprecedented in-depth analysis of the immunopathology that leads to acute respiratory distress syndrome in a well-defined patient population disproportionally affected by severe COVID-19.

Due to the severity of COVID-19 disease, the U.S. Centers for Disease Control and Prevention and World Health Organization recommend that manipulation of active viral cultures of SARS-CoV-2 and respiratory secretions from COVID-19 patients be performed in biosafety level (BSL)3 laboratories. Therefore, it is imperative to develop viral inactivation procedures that permit samples to be transferred to lower containment levels (BSL2), while maintaining the fidelity of complex downstream assays to expedite the development of medical countermeasures. In this study, we demonstrate optimal conditions for complete viral inactivation following fixation of infected cells with commonly used reagents for flow cytometry, UVC inactivation in sera and respiratory secretions for protein and Ab detection, heat inactivation following cDNA amplification for droplet-based single-cell mRNA sequencing, and extraction with an organic solvent for metabolomic studies. Thus, we provide a suite of viral inactivation protocols for downstream contemporary assays that facilitate sample transfer to BSL2, providing a conceptual framework for rapid initiation of high-fidelity research as the COVID-19 pandemic continues.

Myeloid cells comprise the majority of immune cells in tumors, where their content and composition is determined by tumor type and driver mutation. While these cells are essential for shaping the tumor microenvironment, promoting tumor growth, and contributing to therapeutic resistance, targeting tumor-associated myeloid cells, including bone-marrow-derived monocytes and neutrophils, has not been successful in the clinics. Monocyte chemoattractant protein (MCP) family, comprising of Ccl2, Ccl7, Ccl8, Ccl12, are essential for monocytes trafficking to the tumor sites. To eliminate monocyte recruitment, we leveraged CRISPR/Cas-9 based gene editing tool to generate a mouse strain that is devoid of all MCP genes, which we termed quadruple MCP knockout (qMCP-/-). Using these mice in combination with genetically engineered mouse models (GEMM) of glioblastoma (GBM), we abolished tumor monocyte infiltration. Due to the functional redundancy of MCP family members, we show that targeting individual MCP genes leads to compensation by other MCPs. In contrast, when all MCPs are genetically deleted and monocyte recruitment is abolished, neutrophil infiltration ensues. Single-cell RNA sequencing revealed that intratumoral neutrophils promoted proneural-to-mesenchymal transition in GBM, and supported tumor aggression by facilitating hypoxia response via TNF production. Remarkably, pharmacologic or genetic interventions that suppress both monocytes and neutrophil infiltration improve the survival of GBM-bearing mice. Taken together, our findings establish that specific subsets of myeloid cells can influence the dynamism of tumor microenvironment, and they emphasize the importance of targeting both monocytes and neutrophils simultaneously for effective GBM immunotherapy.

SUMMARYMyeloid cells comprise the majority of immune cells in tumors, contributing to tumor growth and therapeutic resistance. Incomplete understanding of myeloid cells response to tumor driver mutation and therapeutic intervention impedes effective therapeutic design. Here, by leveraging CRISPR/Cas9-based genomic editing, we generated a mouse model that is deficient of all monocyte chemoattractant proteins (MCP). Using this strain, we effectively abolished monocyte infiltration in glioblastoma (GBM) and hepatocellular carcinoma (HCC) murine models, which were enriched for monocytes or neutrophils, respectively. Remarkably, eliminating monocyte chemoattraction invokes a significant compensatory neutrophil influx in GBM, but not in HCC. Single-cell RNA sequencing revealed that intratumoral neutrophils promoted proneural-to-mesenchymal transition in GBM, and supported tumor aggression by facilitating hypoxia response via TNF production. Importantly, genetic or pharmacological inhibiting neutrophil in HCC or qMCP-KO GBM extended the survival of tumor-bearing mice. Our findings emphasize the importance of targeting both monocytes and neutrophils simultaneously for cancer immunotherapy.In BriefEliminating monocyte chemoattraction invokes compensatory neutrophil influx in tumor, and vice versa, rendering current myeloid-targeted therapies ineffective. Using genetic and pharmacological approaches combined with novel mouse models of GBM and HCC, we provide credence advocating for combinational therapies aiming at inhibiting both monocytes and neutrophils simultaneously.Highlights•Blocking monocyte chemoattraction results in increased neutrophil infiltration.•Increased neutrophil recruitment induces GBM PN to MES transition.•Inhibiting neutrophil infiltration in monocyte-deficient tumors improves mouse GBM survival.•Blocking neutrophil, but not monocyte, infiltration in HCC prolongs mouse survival.

Tissue-resident macrophages (TRMΦ) are important immune sentinels responsible for maintaining tissue and immune homeostasis within their specific niche. Recently, the origins of TRMΦ have undergone intense scrutiny, in which now most TRMΦ are thought to originate early during embryonic development independent of hematopoietic stem cells (HSCs). We previously characterized two distinct subsets of mouse peritoneal cavity macrophages (MΦ) (large and small peritoneal MΦ) whose origins and relationship to both fetal and adult long-term (LT) HSCs have not been fully investigated. In this study, we employ highly purified LT-HSC transplantation and in vivo lineage tracing to show a dual ontogeny for large and small peritoneal MΦ, in which the initial wave of peritoneal MΦ is seeded from yolk sac-derived precursors, which later require LT-HSCs for regeneration. In contrast, transplanted fetal and adult LT-HSCs are not able to regenerate brain-resident microglia. Thus, we demonstrate that LT-HSCs retain the potential to develop into TRMΦ, but their requirement is tissue specific in the peritoneum and brain.

SARS-CoV-2-infected subjects are generally asymptomatic during initial viral replication but may suffer severe immunopathology after the virus has receded and monocytes have infiltrated the airways. In bronchoalveolar lavage fluid from severe COVID-19 patients, monocytes express mRNA encoding inflammatory mediators and contain SARS-CoV-2 transcripts. We leverage a human small airway model of infection and inflammation, whereby primary blood monocytes transmigrate across SARS-CoV-2-infected lung epithelium to characterize viral burden, gene expression, and inflammatory mediator secretion by epithelial cells and monocytes. In this model, lung-infiltrating monocytes acquire SARS-CoV-2 from the epithelium and upregulate expression and secretion of inflammatory mediators, mirroring in vivo data. Combined use of baricitinib (Janus kinase inhibitor) and remdesivir (nucleoside analog) enhances antiviral signaling and viral clearance by SARS-CoV-2-positive monocytes while decreasing secretion of proneutrophilic mediators associated with acute respiratory distress syndrome. These findings highlight the role of lung-infiltrating monocytes in COVID-19 pathogenesis and their importance as a therapeutic target.

Disruption of vulnerable atherosclerotic plaques often leads to myocardial infarction and stroke, the leading causes of morbidity and mortality in the United States. A diagnostic method that detects high-risk atherosclerotic plaques at early stages could prevent these sequelae. The abundance of immune cells in the arterial wall, especially inflammatory Ly-6Chi monocytes and foamy macrophages, is indicative of plaque‎ inflammation, and may be associated with plaque vulnerability. Hence, we sought to develop a new method that specifically targets these immune cells to offer clinically-relevant diagnostic information about cardiovascular disease. We combine ultra-selective nanoparticle targeting of Ly-6Chi monocytes and foamy macrophages with clinically-viable photoacoustic imaging (PAI) in order to precisely and specifically image inflamed plaques ex vivo in a mouse model that mimics human vulnerable plaques histopathologically. Within the plaques, high-dimensional single-cell flow cytometry (13-parameter) showed that our nanoparticles were almost-exclusively taken up by the Ly-6Chi monocytes and foamy macrophages that heavily infiltrate plaques. PAI identified inflamed atherosclerotic plaques that display ~6-fold greater signal compared to controls (P<0.001) six hours after intravenous injection of ultra-selective carbon nanotubes, with in vivo corroboration via optical imaging. Our highly selective strategy may provide a targeted, non-invasive imaging strategy to accurately identify and diagnose inflamed atherosclerotic lesions.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the ensuing COVID-19 pandemic have caused ∼40 million cases and over 648,000 deaths in the United States alone. Troubling disparities in COVID-19-associated mortality emerged early, with nearly 70% of deaths confined to Black/African-American (AA) patients in some areas, yet targeted studies within this demographic are scant. Multi-omics single-cell analyses of immune profiles from airways and matching blood samples of Black/AA patients revealed low viral load, yet pronounced and persistent pulmonary neutrophilia with advanced features of cytokine release syndrome and acute respiratory distress syndrome (ARDS), including exacerbated production of IL-8, IL-1β, IL-6, and CCL3/4 along with elevated levels of neutrophil elastase and myeloperoxidase. Circulating S100A12 + /IFITM2 + mature neutrophils are recruited via the IL-8/CXCR2 axis, which emerges as a potential therapeutic target to reduce pathogenic neutrophilia and constrain ARDS in severe COVID-19. Graphical Abstract The lung pathology due to severe COVID-19 is marked by a perpetual pathogenic neutrophilia, leading to acute respiratory distress syndrome (ARDS) even in the absence of viral burden. Circulating mature neutrophils are recruited to the airways via IL-8 (CXCL8)/CXCR2 chemotaxis. Recently migrated neutrophils further differentiate into a transcriptionally active and hyperinflammatory state, with an exacerbated expression of IL-8 ( CXCL8 ), IL-1β ( IL1B ), CCL3, CCL4 , neutrophil elastase (NE), and myeloperoxidase (MPO) activity. Airway neutrophils and recruited inflammatory monocytes further increase their production of IL-8 ( CXCL8 ), perpetuating lung neutrophilia in a feedforward loop. MdCs and T cells produce IL-1β and TNF, driving neutrophils reprogramming and survival.

Tissue-resident macrophages (TRMΦ) are important immune sentinels responsible for maintaining tissue and immune homeostasis, where most develop during embryogenesis independently of long-term hematopoietic stem cells (LT-HSCs) and are maintained throughout life with minimal contribution from circulating monocytes. Recent studies have shown that, in certain conditions, infiltrating monocyte-derived (MD)MΦ can supplement TRMΦ, but remain distinguishable. However, the phenotypic and functional heterogeneity of TRMΦ versus their supplemented MDMΦ counterparts in each organ system has not been established. To address this gap, we have generated a novel dual-reporter lineage tracing model to delineate TRMΦ vs MDMΦ in vivo. We used a non-genotoxic method of HSC depletion in the Runx1Cre/eGFP mouse, which allows us to transplant LT-HSCs expressing mRFP1. These dual-reporter mice exhibit normal supplementation of MDMΦ (red) to the existing TRMΦ (green) pool. We have previously identified two subsets of peritoneal MΦ that exhibit dual ontogeny. However, an in-depth examination of the phenotypic and functional differences between these two MΦ lineages is lacking. Using our new model, we performed single-cell mRNA sequencing and high-dimensional flow cytometric analyses and reveal further heterogeneity in peritoneal MΦ across lineages, supporting the notion that infiltrating MDMΦ exhibit phenotypic divergence from TRMΦ with potential functional impact. Here, we report the generation and utility of an innovative model incorporating lineage-specific fluorescent reporters in radiation-naïve mice, an important tool for understanding phenotypic and functional diversity of MΦ with different developmental origins in vivo.

Zika virus (ZIKV) is a mosquito-borne flavivirus that has recently emerged in the Americas and is a pathogen of significant public health concern. Unique amongst flaviviruses, ZIKV can be vertically transmitted from an infected mother to the developing fetus in utero, in some cases resulting in adverse pregnancy outcomes, including spontaneous abortion and fetal brain abnormalities. We recently found that Hofbauer cells (HCs), a fetal-derived placental macrophage, are primary targets for ZIKV infection. Further, cross-reactive dengue antibodies facilitate ZIKV transcytosis across the placental barrier to seed infection within HCs. However, little is known about the innate immune mechanisms of HCs to limit virus replication and spread within the placenta. Here, we report that HCs express the RIG-I-like receptors, RIG-I, MDA5, and LGP2, and the cytosolic DNA sensor, cGAS, and can induce a potent innate immune response characterized by production of monocyte and macrophage chemoattractants, MCP-1, MIP-1α, and MIP-1β. In contrast, HCs infected in the presence or absence of ZIKV immune complexes induced little to no type I interferon (IFN), pro-inflammatory cytokines, or chemokines. Notably, HCs infected with ZIKV immune complexes displayed reduced antiviral gene induction as compared to HCs infected in the absence of immune complexes despite similar kinetics of virus replication. We are currently performing RNA sequencing analyses to determine how binding of viral immune complexes can alter the antiviral gene signature within HCs to enhance productive ZIKV infection. These studies will further our understanding of innate immunologic mechanisms and modulation during vertical transmission of flaviviruses in the placenta.