Transcriptional reprogramming of infiltrating neutrophils drives lung pathology in severe COVID-19 despite low viral load.

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-1ß, 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.

Comprehensive multi-omics single-cell data integration reveals greater heterogeneity in the human immune system.

Single-cell transcriptomics enables the definition of diverse human immune cell types across multiple tissues and disease contexts. Further deeper biological understanding requires comprehensive integration of multiple single-cell omics (transcriptomic, proteomic, and cell-receptor repertoire). To improve the identification of diverse cell types and the accuracy of cell-type classification in multi-omics single-cell datasets, we developed SuPERR, a novel analysis workflow to increase the resolution and accuracy of clustering and allow for the discovery of previously hidden cell subsets. In addition, SuPERR accurately removes cell doublets and prevents widespread cell-type misclassification by incorporating information from cell-surface proteins and immunoglobulin transcript counts. This approach uniquely improves the identification of heterogeneous cell types and states in the human immune system, including rare subsets of antibody-secreting cells in the bone marrow.

Noncanonical activation of GLI signaling in SOX2+ cells drives medulloblastoma relapse.

SRY (sex determining region Y)-box 2 (SOX2)-labeled cells play key roles in chemoresistance and tumor relapse; thus, it is critical to elucidate the mechanisms propagating them. Single-cell transcriptomic analyses of the most common malignant pediatric brain tumor, medulloblastoma (MB), revealed the existence of astrocytic Sox2+ cells expressing sonic hedgehog (SHH) signaling biomarkers. Treatment with vismodegib, an SHH inhibitor that acts on Smoothened (Smo), led to increases in astrocyte-like Sox2+ cells. Using SOX2-enriched MB cultures, we observed that SOX2+ cells required SHH signaling to propagate, and unlike in the proliferative tumor bulk, the SHH pathway was activated in these cells downstream of Smo in an MYC-dependent manner. Functionally different GLI inhibitors depleted vismodegib-resistant SOX2+ cells from MB tissues, reduced their ability to further engraft in vivo, and increased symptom-free survival. Our results emphasize the promise of therapies targeting GLI to deplete SOX2+ cells and provide stable tumor remission.

Antiapoptotic Bcl-2 family proteins BCL-xL and MCL-1 integrate neural progenitor survival and proliferation during postnatal cerebellar neurogenesis.

The tendency of brain cells to undergo apoptosis in response to exogenous events varies across neural development, with apoptotic threshold dependent on proliferation state. Proliferative neural progenitors show a low threshold for apoptosis, while terminally differentiated neurons are relatively refractory. To define the mechanisms linking proliferation and apoptotic threshold, we examined the effect of conditionally deleting Bcl2l1, the gene that codes the antiapoptotic protein BCL-xL, in cerebellar granule neuron progenitors (CGNPs), and of co-deleting Bcl2l1 homologs, antiapoptotic Mcl-1, or pro-apoptotic Bax. We found that cerebella in conditional Bcl2l1-deleted (Bcl-xLcKO) mice were severely hypoplastic due to the increased apoptosis of CGNPs and their differentiated progeny, the cerebellar granule neurons (CGNs). Apoptosis was highest as Bcl-xLcKO CGNPs exited the cell cycle to initiate differentiation, with proliferating Bcl-xLcKO CGNPs relatively less affected. Despite the overall reduction in cerebellar growth, SHH-dependent proliferation was prolonged in Bcl-xLcKO mice, as more CGNPs remained proliferative in the second postnatal week. Co-deletion of Bax rescued the Bcl-xLcKO phenotype, while co-deletion of Mcl-1 enhanced the phenotype. These findings show that CGNPs require BCL-xL to regulate BAX-dependent apoptosis, and that this role can be partially compensated by MCL-1. Our data further show that BCL-xL expression regulates MCL-1 abundance in CGNPs, and suggest that excessive MCL-1 in Bcl-xLcKO mice prolongs CGNP proliferation by binding SUFU, resulting in increased SHH pathway activation. Accordingly, we propose that BCL-xL and MCL-1 interact with each other and with developmental mechanisms that regulate proliferation, to adjust the apoptotic threshold as CGNPs progress through postnatal neurogenesis to CGNs.