Project description:RNA-seq of Mycobacteriophage Island3 infection of Mycolicibacterium smegmatis mc2155, Mycolicibacterium smegmatis mc2155(Butters), and Mycolicibacterium smegmatis mc2155(Buttersgp57r) to assess the impact of Butters lysogen and specifically Buttersgp57r on transcript levels of island3 during infection.
Project description:We evaluated the applicability and usability of whole-genome methylomics of sputum samples in molecular profiling of chronic inflammatory lung diseases. Genomic DNA was purified from sputum samples of subjects with Asthma, COPD as well as healthy controls and analyzed on the Illumina Infinium HumanMethylation 450k platform.
Project description:In addition to analyzing whole-genome methylation, we concomitantly evaluated sputum cell gene expression in the context of chronic inflammatory lung disease. Nucleic acids were purified from sputum samples of subjects with Asthma, COPD as well as healthy controls. Gene expression was analyzed on the Agilent Human GE 4x44k v2 platform.
Project description:Sputum cells collected before (visit 2) and after (visit 4) allergen challenge in asthma patients were isolated and RNA purified for analysis on gene expression arrays. Human subject recruitment part of NIH sponsored protocol as part of the Eosinophil Program Project Grant (PI: Dr. Nizar Jarjour) Sputum cell RNA collected from induced sputum cells before and 48 hours after whole-lung allergen challenge.
Project description:Background: Assessments of airways inflammation in patients with chronic obstructive pulmonary diseases (COPD) require semi-invasive procedures and specialized sample processing know-how. In this study we aimed to set up and validate a novel non-invasive processing-free method for RNA sequencing (RNAseq) of spontaneous sputum samples collected from COPD patients. Methods: Spontaneous sputum samples were collected and stabilized, with or without selection of plugs and with or without the use of a stabilizer specifically formulated for downstream diagnostic testing (PrimeStore® Molecular Transport Medium). After 8-day storage at ambient temperature RNA was isolated according to an optimized RNAzol® method. An average percentage of fragments longer than 200 nucleotides (DV200) >30% and an individual yield >50ng were required for progression of samples to sequencing. Finally, to assess if the transcriptome generated would reflect a true endotype of COPD inflammation, the outcome of single-sample gene-set enrichment analysis (ssGSEA) was validated using an independent set of processed induced sputum samples Results: RNA extracted from spontaneous sputum using a stabilizer showed an average DV200 higher than 30%. 70% of the samples had a yield >50ng and were submitted to downstream analysis. There was a straightforward correlation in terms of gene expression between samples handled with or without separation of plugs. This was also confirmed by principal component analysis and ssGSEA. The top ten enriched pathways resulting from spontaneous sputum ssGSEA were associated to features of COPD, namely, inflammation, immune responses and oxidative stress; up to 70% of these were in common within the top ten enriched pathways resulting from induced sputum ssGSEA. Conclusion: This analysis confirmed that the typical COPD endotype was represented within spontaneous sputum and supported the current method as a non-invasive processing-free procedure to assess the level of sputum cell inflammation in COPD patients by RNAseq analysis.