Gene Expression Nebulas
A data portal of transcriptomic profiles analyzed by a unified pipeline across multiple species

Gene Expression Nebulas

A data portal of transcriptome profiles across multiple species

PRJNA764084: Single cell RNA sequencing and TCR repertoire analysis of MIS-C affected patients versus healthy controls and severe adult COVID-19

Source: NCBI / GSE184330
Submission Date: Sep 17 2021
Release Date:
Update Date: Dec 11 2021

Summary: In rare instances, pediatric SARS-CoV2 infection results in a novel immunodysregulation syndrome termed multisystem inflammatory syndrome in children (MIS-C). We compared MIS-C immunopathology with that of severe COVID-19. MIS-C does not result in pneumocyte damage but is associated with vascular endothelitis, gastrointestinal epithelial injury and endotoxemia. In MIS-C, IFN dominates the inflammatory signature in contrast to type I interferons in severe COVID-19. MIS-C does not result in pneumocyte damage but is associated with vascular endothelitis, gastrointestinal epithelial injury and endotoxemia. In MIS-C, IFN dominates the inflammatory signature in contrast to type I interferons in severe COVID-19. While HLA-DRlo classical monocytes dominate severe COVID-19, patrolling monocyte activation characterize MIS-C. TIM-3 expression on activated CD4/CD8  T cells and on CD57+ NK cells is a distinctive MIS-C feature. In all MIS-C patients, single cell TCR profiling demonstrates a skewed TCR repertoire enriched for TRBV11-2 and a superantigenic signature which is absent in severe COVID-19. Using NicheNet, we confirm IFN as a central cytokine in the communication between activated T cells, NK cells and patrolling monocytes. Rapid normalization of IFN, TIM-3 loss on T cells and patrolling monocytes contraction upon treatment highlight their potential role in MIS-C immunopathogenesis.

Overall Design: Single cell RNA sequencing of 7 pediatric patients suffering from MIS-C, compared with 5 healthy siblings that did not experience MIS-C, and 4 adult patients with severe COVID-19. Patient samples were obtained during hospitalisation and at maximal inflammation. Samples from siblings were acquired ambulatory in the absence of inflammation. We compared transcriptomic data in leukocytes between these three cohorts and used additional computational modelling tools (GSEA, IPA and Nichenet) to characterize the immunodysregulation that is observed in MIS-C and is distinct from baseline conditions in their healthy siblings and adult COVID-19. In addition, we specifically analyzed the TCR repertoire within the T cells of these patients.

GEN Datasets:
GEND000387
Strategy:
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Protocol
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Extract Protocol: After thawing PBMCs were counted, isolated and spun down.  The cell pellet was resuspended and incubated for 30 min on ice with staining mix in PBS containing 0.04% BSA, L/D-DAPI, CD3-FITC (HIT3A), CD14-PerCP-Cy5-5 (HIB19), CCR5-PE (2D7), Human TruStain FcX (BioLegend, Cat. 422302) and TotalSeq-C hashing antibodies (BioLegend).
Library Construction Protocol: The sorted single-cell suspensions were resuspended and loaded on a Chromium GemCode Single Cell Instrument (10x Genomics) to generate single-cell gel beads-in-emulsion (GEM). The scRNA/Feature Barcoding/TCR libraries were prepared using the GemCode Single Cell 5’ Gel Bead and Library kit, version 1.1 (10x Genomics, Cat. 1000165) according to the manufacturer’s instructions.
Sequencing
Molecule Type: polyA(+) RNA
Library Source:
Library Layout: PAIRED
Library Strand: -
Platform: ILLUMINA
Instrument Model: Illumina NovaSeq 6000
Strand-Specific: -
Samples
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Data Resource GEN Sample ID GEN Dataset ID Project ID BioProject ID Sample ID Sample Name BioSample ID Sample Accession Experiment Accession Release Date Submission Date Update Date Species Race Ethnicity Age Age Unit Gender Source Name Tissue Cell Type Cell Subtype Cell Line Disease Disease State Development Stage Mutation Phenotype Case Detail Control Detail Growth Protocol Treatment Protocol Extract Protocol Library Construction Protocol Molecule Type Library Layout Strand-Specific Library Strand Spike-In Strategy Platform Instrument Model Cell Number Reads Number Gbases AvgSpotLen1 AvgSpotLen2 Uniq Mapping Rate Multiple Mapping Rate Coverage Rate
Publications
TIM3+ TRBV11-2 T cells and IFNγ signature in patrolling monocytes and CD16+ NK cells delineate MIS-C.
The Journal of experimental medicine . 2021-12-16 [PMID: 34914824]