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Waradon Sungnak

Researcher at Wellcome Trust Sanger Institute

Publications -  8
Citations -  3983

Waradon Sungnak is an academic researcher from Wellcome Trust Sanger Institute. The author has contributed to research in topics: Immune system & Innate immune system. The author has an hindex of 5, co-authored 6 publications receiving 2846 citations.

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SARS-CoV-2 entry factors are highly expressed in nasal epithelial cells together with innate immune genes.

TL;DR: In this paper, the expression of viral entry-associated genes in single-cell RNA-sequencing data from multiple tissues from healthy human donors was investigated, and co-detected these transcripts in specific respiratory, corneal and intestinal epithelial cells, potentially explaining the high efficiency of SARS-CoV-2 transmission.
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SARS-CoV-2 Entry Genes Are Most Highly Expressed in Nasal Goblet and Ciliated Cells within Human Airways

TL;DR: Analysis of the compendium of data points to a particularly relevant role for nasal goblet and ciliated cells as early viral targets and potential reservoirs of SARS-CoV-2 infection and underscores the importance of the availability of the Human Cell Atlas as a reference dataset.
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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.
Posted ContentDOI

The cellular immune response to COVID-19 deciphered by single cell multi-omics across three UK centres

Emily Stephenson, +79 more
- 15 Jan 2021 - 
TL;DR: In this article, the authors performed single-cell RNA-sequencing coupled with analysis of cell surface proteins, providing molecular profiling of over 800,000 peripheral blood mononuclear cells from a cohort of 130 patients with COVID-19.
Posted ContentDOI

The local and systemic response to SARS-CoV-2 infection in children and adults

TL;DR: In this paper, a healthy reference multi-omics single cell data set from children (n=30) was generated and compared with equivalent data from severe paediatric and adult COVID-19 patients (total n=27), from the same three types of samples: upper and lower airways and blood.