Back to search

Article

Cross-talk between the airway epithelium and activated immune cells defines severity in COVID-19

2020-05-05

Abstract excerpt

<h4>ABSTRACT</h4> The clinical course of COVID-19 is highly variable, however, underlying host factors and determinants of severe disease are still unknown. Based on single-cell transcriptomes of nasopharyngeal and bronchial samples from clinically well-characterized patients presenting with moderate and critical severities, we reveal the different types and states of airway epithelial cells that are vulnerable fo...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
1010a002-416d-5d25-bc03-d897d556dca5
DOI
10.1101/2020.04.29.20084327
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Cross-talk between the airway epithelium and activated immune cells defines severity in COVID-19DOI 10.1101/2020.04.29.20084327
SARS-CoV-2 activates lung epithelia cell proinflammatory signaling and leads to immune dysregulation in COVID-19 patients by single-cell sequencingSemantic proximity
Dissecting the common and compartment-specific features of COVID-19 severity in the lung and periphery with single-cell resolutionSemantic proximity
Transcriptome of nasopharyngeal samples from COVID-19 patients and a comparative analysis with other SARS-CoV-2 infection models reveal disparate host responses against SARS-CoV-2.Semantic proximity
Chronic lung diseases are associated with gene expression programs favoring SARS-CoV-2 entry and severitySemantic proximity
Chronic lung diseases are associated with gene expression programs favoring SARS-CoV-2 entry and severitySemantic proximity
Chronic lung diseases are associated with gene expression programs favoring SARS-CoV-2 entry and severitySemantic proximity
COVID-19 severity correlates with airway epithelium–immune cell interactions identified by single-cell analysisSemantic proximity
Analysis of respiratory and systemic immune responses in COVID-19 reveals mechanisms of disease pathogenesisSemantic proximity
A multi-tissue study of immune gene expression profiling highlights the key role of the nasal epithelium in COVID-19 severitySemantic proximity
Distinct Mucoinflammatory Phenotype and the Immunomodulatory Long Noncoding Transcripts Associated with SARS-CoV-2 Airway InfectionSemantic proximity
Upper airway gene expression differentiates COVID-19 from other acute respiratory illnesses and reveals suppression of innate immune responses by SARS-CoV-2Semantic proximity
Multimodal single-cell omics analysis identifies epithelium–immune cell interactions and immune vulnerability associated with sex differences in COVID-19Semantic proximity
Select a neighboring publication to make it the new centre.