ArticleScientific reports2016
The Healthy Infant Nasal Transcriptome: A Benchmark Study.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 41 citations in OpenAlex.
- Nasal microbiome inhabitants with anti-Microbiology spectrum · 2025Article
- The PRIMERO birth cohort: Design and baseline characteristics.The journal of allergy and clinical immunology. Global · 2025Article
- Transcriptomic analysis of primary nasal epithelial cells reveals altered interferon signalling in preterm birth survivors at one year of age.Frontiers in cell and developmental biology · 2024Article
- Review
- A systems genomics approach uncovers molecular associates of RSV severity.PLoS computational biology · 2021Article
- Metatranscriptomics to characterize respiratory virome, microbiome, and host response directly from clinical samples.Cell reports methods · 2021Article
- Airway Gene Expression Correlates of Respiratory Syncytial Virus Disease Severity and Microbiome Composition in Infants.The Journal of infectious diseases · 2021Article
- CX3CR1 Engagement by Respiratory Syncytial Virus Leads to Induction of Nucleolin and Dysregulation of Cilia-related Genes.Journal of virology · 2021Article
- Airway gene-expression classifiers for respiratory syncytial virus (RSV) disease severity in infants.BMC medical genomics · 2021Article
- arcasHLA: high-resolution HLA typing from RNAseq.Bioinformatics (Oxford, England) · 2020Article
- Microbiome-Transcriptome Interactions Related to Severity of Respiratory Syncytial Virus Infection.Scientific reports · 2019Article
- Aims, Study Design, and Enrollment Results From the Assessing Predictors of Infant Respiratory Syncytial Virus Effects and Severity Study.JMIR research protocols · 2019Article
- Host Gene Expression in Nose and Blood for the Diagnosis of Viral Respiratory Infection.The Journal of infectious diseases · 2019Article
- Inflammatory pathways are upregulated in the nasal epithelium in patients with idiopathic pulmonary fibrosis.Respiratory research · 2018Article
- Reduction in polyamine catabolism leads to spermine-mediated airway epithelial injury and induces asthma features.Allergy · 2018Article
- Untargeted analysis of the airway proteomes of children with respiratory infections using mass spectrometry based proteomics.Scientific reports · 2018Article
- Article
- Association of Dynamic Changes in the CD4 T-Cell Transcriptome With Disease Severity During Primary Respiratory Syncytial Virus Infection in Young Infants.The Journal of infectious diseases · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 2 institutions in 1 country.
Funding
Abstract
Responses by resident cells are likely to play a key role in determining the severity of respiratory disease. However, sampling of the airways poses a significant challenge, particularly in infants and children. Here, we report a reliable method for obtaining nasal epithelial cell RNA from infants for genome-wide transcriptomic analysis, and describe baseline expression characteristics in an asymptomatic cohort. Nasal epithelial cells were collected by brushing of the inferior turbinates, and gene expression was interrogated by RNA-seq analysis. Reliable recovery of RNA occurred in the absence of adverse events. We observed high expression of epithelial cell markers and similarity to the transcriptome for intrapulmonary airway epithelial cells. We identified genes displaying low and high expression variability, both inherently, and in response to environmental exposures. The greatest gene expression differences in this asymptomatic cohort were associated with the presence of known pathogenic viruses and/or bacteria. Robust bacteria-associated gene expression patterns were significantly associated with the presence of Moraxella. In summary, we have developed a reliable method for interrogating the infant airway transcriptome by sampling the nasal epithelium. Our data demonstrates both the fidelity and feasibility of our methodology, and describes normal gene expression and variation within a healthy infant cohort.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.