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Open AccessJournal ArticleDOI

COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas.

Xianwen Ren, +94 more
- 01 Apr 2021 - 
- Vol. 184, Iss: 7, pp 5838-5838
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TLDR
In this article, the authors applied single-cell RNA sequencing to 284 samples from 196 COVID-19 patients and controls and created a comprehensive immune landscape with 1.46 million cells.
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This article is published in Cell.The article was published on 2021-04-01 and is currently open access. It has received 385 citations till now. The article focuses on the topics: Immune system & Cytokine storm.

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Citations
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Single-cell multi-omics analysis of the immune response in COVID-19.

TL;DR: In this article, the authors performed single-cell transcriptome, surface proteome and T and B lymphocyte antigen receptor analyses of over 780,000 peripheral blood mononuclear cells from a cross-sectional cohort of 130 patients with varying severities of COVID-19.
Journal ArticleDOI

Inflammasome activation at the crux of severe COVID-19.

TL;DR: In this article, the authors review evidence that SARS-CoV-2 directly or indirectly activates inflammasomes, which are large multiprotein assemblies that are broadly responsive to pathogen-associated and stress-associated cellular insults, leading to secretion of the pleiotropic IL-1 family cytokines (IL-1β and IL-18), and pyroptosis, an inflammatory form of cell death.
References
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Journal ArticleDOI

A pneumonia outbreak associated with a new coronavirus of probable bat origin

TL;DR: Identification and characterization of a new coronavirus (2019-nCoV), which caused an epidemic of acute respiratory syndrome in humans in Wuhan, China, and it is shown that this virus belongs to the species of SARSr-CoV, indicates that the virus is related to a bat coronav virus.
Journal ArticleDOI

clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters

TL;DR: An R package, clusterProfiler that automates the process of biological-term classification and the enrichment analysis of gene clusters and can be easily extended to other species and ontologies is presented.
Journal ArticleDOI

Comprehensive Integration of Single-Cell Data.

TL;DR: A strategy to "anchor" diverse datasets together, enabling us to integrate single-cell measurements not only across scRNA-seq technologies, but also across different modalities.
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