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Croote, D.

Publications and source records attributed to Croote, D..

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Virus-inclusive single cell RNA sequencing reveals molecular signature predictive of progression to severe dengue infection

Dengue virus (DENV) infection can result in severe complications. Yet, the understanding of the molecular correlates of severity is limited, partly due to difficulties in defining the peripheral blood mononuclear cells (PBMCs) that are associated with DENV in vivo. Additionally, there are currently no biomarkers predictive of progression to severe dengue (SD). Bulk transcriptomics data are difficult to interpret because blood consists of multiple cell types that may react differently to infection. Here we applied virus-inclusive single cell RNA-seq approach (viscRNA-Seq) to profile transcriptomes of thousands of single PBMCs derived early in the course of disease from six dengue patients and four healthy controls, and to characterize distinct DENV-associated leukocytes. Multiple genes, particularly interferon response genes, were upregulated in a cell-specific manner prior to progression to SD. Expression of MX2 in naive B cells and CD163 in CD14+ CD16+ monocytes was predictive of SD. The majority of DENV-associated cells in the blood of two patients who progressed to SD were naive IgM B cells expressing the CD69 and CXCR4 receptors and antiviral genes, followed by monocytes. Bystander uninfected B cells also demonstrated immune activation, and plasmablasts from two patients exhibited antibody lineages with convergently hypermutated heavy chain sequences. Lastly, assembly of the DENV genome revealed diversity at unexpected genomic sites. This study presents a multi-faceted molecular elucidation of natural dengue infection in humans and proposes biomarkers for prediction of SD, with implications for profiling any tissue and viral infection, and for the development of a dengue prognostic assay.\n\nSignificanceA fraction of the 400 million people infected with dengue annually progresses to severe dengue (SD). Yet, there are currently no biomarkers to effectively predict disease progression. We profiled the landscape of host transcripts and viral RNA in thousands of single blood cells from dengue patients prior to progressing to SD. We discovered cell-type specific immune activation and candidate predictive biomarkers. We also revealed preferential virus association with specific cell populations, particularly naive B cells and monocytes. We then explored immune activation of bystander cells, clonality and somatic evolution of adaptive immune repertoires, and viral genomics. This multi-faceted approach could advance understanding of pathogenesis of any viral infection, map an atlas of infected cells and promote the development of prognostics.

immunology

Human IgE producing B cells have a unique transcriptional program and generate high affinity, allergen-specific antibodies

IgE antibodies provide defense against helminth infections, but can also cause life-threatening allergic reactions. Despite their importance to human health, these antibodies and the cells that produce them remain enigmatic due to their scarcity in humans; much of our knowledge of their properties is derived from model organisms. Here we describe the isolation of IgE producing B cells from the blood of individuals with food allergies, followed by a detailed study of their properties by single cell RNA sequencing (scRNA-seq). We discovered that IgE B cells are deficient in membrane immunoglobulin expression and that the IgE plasmablast state is more immature than that of other antibody producing cells. Through recombinant expression of monoclonal antibodies derived from single cells, we identified IgE antibodies which had unexpected cross-reactive specificity for major peanut allergens Ara h 2 and Ara h 3; not only are these among the highest affinity native human antibodies discovered to date, they represent a surprising example of convergent evolution in unrelated individuals who independently evolved nearly identical antibodies. Finally, we discovered that splicing within B cells of all isotypes reveals polarized germline transcription of the IgE, but not IgG4, isotype as well as several examples of biallelic expression of germline transcripts. Our results offer insights into IgE B cell transcriptomics, clonality and regulation, provide a striking example of adaptive immune convergence, and offer an approach for accelerating mechanistic disease understanding by characterizing a rare B cell population underlying IgE-mediated disease at single cell resolution.

immunology

Matrix-corrected mass spectrometry enables sensitive detection of food allergens and reveals widespread soy contamination of processed foods

The frequent use of precautionary food allergen labeling statements such as \"may contain\" poses challenges to allergic individuals who rely on such labeling to determine whether a food is safe to consume. We developed a multiplexed liquid chromatography-mass spectrometry assay targeting 14 common allergens in order to survey how frequently these precautionary statements indicate allergen contamination and to assess whether variations in precautionary phrasing affect the likelihood of allergen contamination. A survey of 84 foods revealed how scheduled multiple reaction monitoring (MRM) transition interference derived from complex and heterogeneous sample matrices hinders sensitive analyte detection. As a solution, we developed MAtrix-Dependent Interference Correction (MADIC), an approach to sensitively detect trace peptide quantities through interference identification and stringent peptide quality control criteria. Applying this method, we find frequent contamination of soy in breads and corn flour, and observe additional instances of food contamination with tree nuts, wheat, milk, and egg. In some of these cases, the food had no precautionary labeling for the offending allergen. We also find that only 10% of warning labels are indicative of contamination, and that products with \"same facility\" precautionary labeling are not necessarily less likely to contain trace amounts of allergens than products labeled \"may contain.\"

immunology

Single-Cell RNAseq analysis of infiltrating neoplastic cells at the migrating front of human glioblastoma

Glioblastoma is the most common primary brain cancer in adults and is notoriously difficult to treat due to its diffuse nature. We performed single-cell RNAseq on 3589 cells in a cohort of four patients. We obtained cells from the tumor core as well as surrounding peripheral tissue. Our analysis revealed cellular variation in the tumors genome and transcriptome, We were able to identify infiltrating neoplastic cells in regions peripheral to the core lesions. Despite the existence of significant heterogeneity among neoplastic cells, we found that infiltrating GBM cells share a consistent gene signature between patients, suggesting a common mechanism of infiltration. Additionally, in investigating the immunological response to the tumors, we found transcriptionally distinct myeloid cell populations residing in the tumor core and the surrounding peritumoral space. Our data provide a detailed dissection of GBM cell types, revealing an abundance of novel information about tumor formation and migration.

cancer biology

High fidelity hypothermic preservation of primary tissues in organ transplant preservative for single cell transcriptome analysis

BackgroundHigh-fidelity preservation strategies for primary tissues are in great demand in the single cell RNAseq community. A reliable method will greatly expand the scope of feasible collaborations and maximize the utilization of technical expertise. When choosing a method, standardizability is as important a factor to consider as fidelity due to the susceptibility of single-cell RNAseq analysis to technical noises. Existing approaches such as cryopreservation and chemical fixation are less than ideal for failing to satisfy either or both of these standards.\n\nResultsHere we propose a new strategy that leverages preservation schemes developed for organ transplantation. We evaluated the strategy by storing intact mouse kidneys in organ transplant preservative solution at hypothermic temperature for up to 4 days (6 hrs, 1, 2, 3, and 4 days), and comparing the quality of preserved and fresh samples using FACS and single cell RNAseq. We demonstrate that the strategy effectively maintained cell viability, transcriptome integrity, cell population heterogeneity, and transcriptome landscape stability for samples after up to 3 days of preservation. The strategy also facilitated the definition of the diverse spectrum of kidney resident immune cells, to our knowledge the first time at single cell resolution.\n\nConclusionsHypothermic storage of intact primary tissues in organ transplant preservative maintains the quality and stability of the transcriptome of cells for single cell RNAseq analysis. The strategy is readily generalizable to primary specimens from other tissue types for single cell RNAseq analysis.

genomics