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Open AccessJournal ArticleDOI

Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19.

TLDR
Single-cell transcriptome and T cell receptor analysis of bronchoalveolar lavage fluid suggests enrichment of proinflammatory macrophages in patients with severe COVID-19 and the presence of clonally expanded CD8 + T cells in Patients with moderate CO VID-19.
Abstract
Respiratory immune characteristics associated with Coronavirus Disease 2019 (COVID-19) severity are currently unclear. We characterized bronchoalveolar lavage fluid immune cells from patients with varying severity of COVID-19 and from healthy people by using single-cell RNA sequencing. Proinflammatory monocyte-derived macrophages were abundant in the bronchoalveolar lavage fluid from patients with severe COVID-9. Moderate cases were characterized by the presence of highly clonally expanded CD8+ T cells. This atlas of the bronchoalveolar immune microenvironment suggests potential mechanisms underlying pathogenesis and recovery in COVID-19.

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Potential APOBEC-mediated RNA editing of the genomes of SARS-CoV-2 and other coronaviruses and its impact on their longer term evolution.

TL;DR: In this article, the authors synthesize the current knowledge on APOBEC evolution and function and the evidence of their role in APOEC-mediated genome editing of SARS-CoV-2 and other coronaviruses, including extensive homoplasy from editing and reversion at targeted sites and the occurrence of driven amino acid sequence changes in viral proteins.
Journal ArticleDOI

Curcumin as a Potential Treatment for COVID-19

TL;DR: In this paper, the effects of curcumin in the adjuvant treatment of SARS-CoV-2 infection were discussed and a substantial contribution was made by the use of Curcumin as a new adjuvant therapy for the treatment of COVID-19.
Journal ArticleDOI

Single-cell analyses of aging, inflammation and senescence.

TL;DR: It is suggested that single-cell experiments may hold the key to provide detailed insights whenever interventions (countering aging, inflammation, senescence, disease, etc.) are affecting cells depending on cell type.
References
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Journal ArticleDOI

STAR: ultrafast universal RNA-seq aligner

TL;DR: The Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure outperforms other aligners by a factor of >50 in mapping speed.
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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