Project description:Memory B cells play a fundamental role in host defences against viruses. This dataset aimed at understanding their maturation and stability in the context of SARS-CoV-2 infection and consist of a longitudinal single-cell and repertoire profiling of the B cell response up to six months in four severe COVID-19 patients. All four patients were recruited at Henri Mondor University Hospital (AP-HP, Paris France), between March and May 2020, and required oxygen as treatment. Clinical and biological characteristics of these patients are summarized in the Patient_information.csv file. Peripheral (CD3-CD14-CD15-CD56-CD19+IgD-) B cells were FACS-sorted (MA900, Sony) in PBS/0.08% FCS from 4 patients (S-CoV) at baseline (M0) and 6 months (M6). 5x104 to 10x105 cells were obtained for each subset and 20000 were loaded in the 10x Chromium Controller to generate single-cell gel-beads in emulsion. The scRNA-seq libraries were generated using the Chromium Next GEM Single Cell V(D)J Reagent Kit v.1.1 with Feature Barcoding (10x Genomics) according to the manufacturer’s protocol. PBMCs were initially isolated from venous blood samples via standard density gradient centrifugation and used after cryopreservation at -150°C. Cells were thawed using RPMI-1640 (Gibco) 10% FBS, washed twice and incubated with 10µg of the SARS-CoV-2 his tagged spike protein in 100µL of PBS (Gibco) 2% FBS during 20 minutes on ice. Cells were washed and resuspended in the same conditions, then fluorochrome-conjugated antibody cocktail including the 2 anti-His was added at pre-titrated concentrations for 20 min at 4°C and viable cells were identified using a LIVE/DEAD Fixable Aqua Dead Cell Stain Kit (Thermo Fisher Scientific) incubated with conjugated antibodies used for cell sorting (CD3/CD14/CD15/CD56/CD19/IgD) as well as a panel of barcoded TotalSeqC® and homemade anti-His antibodies (see feature_reference.csv.gz files). Three distinct sorts were performed for each donor: two at the M0 time-point (M0_Sort1 and M0_Sort2) and one at the M6 time-point (M6_Sort1). His-tagged-Spike + barcoded-anti-his staining was only included in the last two sorts (M0_Sort2 and M6_Sort1). For these two sorts it should additionally be noted that 5’-transcriptomic and ADT libraries were sequenced in two separate runs (Run1 and Run2) to achieve sufficient sequencing depth for both libraries. Both runs were pooled at the Cell Ranger analysis step.

Project description:Objective: COVID19 is caused by the SARS-CoV-2 virus and has been associated with severe inflammation leading to organ dysfunction and mortality. Our aim was to profile the transcriptome in leukocytes from critically ill ICU patients positive for COVID19 vs. those negative for COVID19 to better understand the COVID19 associated host response. Design: Transcriptome profiling of buffy coat cells via ribonucleic acid sequencing (RNAseq) at the time of admission to the ICU. Setting: Tertiary care ICU and academic laboratory. Subjects: All patients admitted to the ICU suspected of being infected with SARS-CoV-2, using standardized hospital screening methodologies, had blood samples collected at the time of admission to the ICU. Interventions: None. Measurement and Main Results: Age- and sex-matched ICU patients that were either COVID19+ (PCR positive, 2 genes) or COVID19- (PCR negative) were enrolled. Cohorts were well-balanced with the exception that COVID19- patients had significantly higher total white blood cell counts and circulating neutrophils and COVID19+ patients were more likely to suffer bilateral pneumonia compared to COVID19- patients. Further, the mortality rate for this cohort of COVID19+ ICU patients was 29%. Transcriptional analysis revealed that when compared to COVID19- patients, the altered transcriptional responses of leukocytes in critically ill COVID19+ ICU patients appeared to be associated with multiple interrelated outcomes, including but not limited to robust interferon (IFN)-associated transcriptional responses, a marked decrease in the transcriptional activity of genes contributing to protein synthesis and the dysregulated expression of genes that contribute to coagulation, platelet activation, Toll-like receptor activation, neurotrophin signaling, and protein SUMOylation/ubiquitination. Conclusions: COVID19+ patients on day 1 of admission to the ICU display a unique leukocyte transcriptional profile that distinguishes them from COVID19- patients. Identification of this profile provides guidance for future targeted studies exploring novel prognostic/therapeutic aspects of COVID19.

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COVID19 Hospital

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