ArticleiScience2022
Host transcriptional responses in nasal swabs identify potential SARS-CoV-2 infection in PCR negative patients.
Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- Commentary: a review of technical considerations for planning an RNA-Sequencing experiment.BMC genomics · 2025Review
- Integrated multi-sample transcriptomic analysis of COVID-19 patients against controls using a bioinformatics pipeline.Scientific reports · 2025Article
- Unveiling the prevalence and impact of silent rhinovirus infection in chronic rhinosinusitis with nasal polyps.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2025Article
- Metatranscriptomic profiling reveals pathogen and host response signatures of pediatric acute sinusitis and upper respiratory infection.Genome medicine · 2025Article
- Longitudinal host transcriptional responses to SARS-CoV-2 infection in adults with extremely high viral load.PloS one · 2025Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
We analyzed RNA sequencing data from nasal swabs used for SARS-CoV-2 testing. 13% of 317 PCR-negative samples contained over 100 reads aligned to multiple regions of the SARS-CoV-2 genome. Differential gene expression analysis compares the host gene expression in potential false-negative (FN: PCR negative, sequencing positive) samples to subjects with multiple SARS-CoV-2 viral loads. The host transcriptional response in FN samples was distinct from true negative samples (PCR & sequencing negative) and similar to low viral load samples. Gene Ontology analysis shows viral load-dependent changes in gene expression are functionally distinct; 23 common pathways include responses to viral infections and associated immune responses. GO analysis reveals FN samples had a high overlap with high viral load samples. Deconvolution of RNA-seq data shows similar cell content across viral loads. Hence, transcriptome analysis of nasal swabs provides an additional level of identifying SARS-CoV-2 infection.
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Registered trials
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