Project description:To elucidate the potential role of commensal viruses in the etiology of AR, we performed a metagenomic analysis of nasal lavage fluid (NLF) to identify commensal viruses in the nose of mice colonizing in the specific pathogen-free (SPF) circumstances (Vehicle group). To evaluate the potential role of these commensal viruses, we reduced them in the nose of mice by administrating intranasal drops of broad-spectrum antiviral drug ribavirin daily, starting at 4-week-old and lasting for three weeks (Ribavirin group).
Project description:This series includes a 32-array training dataset used to evaluate E-Predict normalization and similarity metric parameters as well as 13 microarrays used as examples in (Urisman, et. al 2005). Training data set includes 15 independent HeLa RNAhybridizations (microarrays 1-15), 10 independent nasal lavage samples positive for Respiratory Syncytial virus (microarrays 16-25), and 7 independent nasal lavage samples positive for Influenza A virus (microarrays 26-32). Examples iclude a serum sample positive for Hepatitis B virus (microarray 33), a nasal lavage sample positive for both Influenza A virus and Respiratory Syncytial virus (microarray 34), and culture samples of 11 distinct Human Rhinovirus serotypes (microarrays 35-45). Keywords = virus detection, E-Predict, species identification, metagenomics
Project description:This series includes a 32-array training dataset used to evaluate E-Predict normalization and similarity metric parameters as well as 13 microarrays used as examples in (Urisman, et. al 2005). Training data set includes 15 independent HeLa RNAhybridizations (microarrays 1-15), 10 independent nasal lavage samples positive for Respiratory Syncytial virus (microarrays 16-25), and 7 independent nasal lavage samples positive for Influenza A virus (microarrays 26-32). Examples iclude a serum sample positive for Hepatitis B virus (microarray 33), a nasal lavage sample positive for both Influenza A virus and Respiratory Syncytial virus (microarray 34), and culture samples of 11 distinct Human Rhinovirus serotypes (microarrays 35-45). Keywords = virus detection, E-Predict, species identification, metagenomics Keywords: other
Project description:To enhance granulocyte recovery in scRNA-seq, we employed nasal lavage samples from children with asthma, leveraging the 10x Genomics Flex platform combined with a customized data processing pipeline. Nasal lavage samples were processed without prior manipulation to avoid technical artifacts such as lysis or stimulation. Granulocyte recovery was optimized using fixation to preserve cell quality and advanced computational techniques to separate low RNA content cells from background noise.
Project description:Small RNA sequencing was conducted to identify the miRNAs responsible for AR using exosomes isolated from the nasal lavage (NAL) fluid of the control (n=9) and AR patient groups (n=8).
Project description:Induced sputum cells (ISCs) and nasal lavage fluid cells (NLFCs) from 6 patients with CRSwNP, 6 patients suffering from CRSwNP with asthma, and 6 control subjects were procured in the study.
Project description:The study aimed to identify proteins associated with chronic rhinosinusitis with nasal polyps. Samples from nasal Lavage fluid from CRSwNP patients and controls were analysed and revealed a significant difference in protein expression. Dysregulated proteins were linked to airway inflammation, immune response and oxidative stress.
Project description:To explore the impact of nasal commensal viruses on the onset and progression of allergic rhinitis, We used single cell RNA sequencing (scRNA-seq) to analyze the diversity of CD45+ cells in the nasal mucosa of mice treated with Vehicle, Ribavirin, Vehicle-OVA, or Ribavirin-OVA.
