Source: International Congress 2017 – Novel mechanisms and treatments for COPD
Disease area: Airway diseases



Rating:

Share or cite this content

Citations should be made in the following way:
S. Pavlidis (London, United Kingdom). Gene signatures from U-BIOPRED transcriptomic-associated clusters exist in COPD. 1492

Member's Comments

No comment yet.

Related content which might interest you: Gene signalling heterogeneity in exacerbations of COPD determined by microarray analysis of PBMC mRNA Source: International Congress 2015 – Respiratory translational research: novel mechanisms, diagnostic markers and Space Odyssey Year: 2015 Integrative clustering analysis to discover novel IPF disease subtypes in the IPF-PRO Registry Source: Virtual Congress 2020 – Biomarkers and mechanistic aspects of idiopathic pulmonary fibrosis Year: 2020 A CADSET WP4 transcriptomic analysis of Asthma and COPD overlap Source: Virtual Congress 2020 – Asthma science: novel targets and mechanisms Year: 2020 Integrated analysis of COPD gene expression data reveals specific pathway signatures Source: Annual Congress 2010 - Genetics of obstruction Year: 2010 Microarray cluster analysis reveals individual genes and biological processes associated with COPD Source: International Congress 2014 – Basic and translational research in asthma and COPD Year: 2014 Re-sequencing of PLAUR in severe asthma patients identifies novel variation Source: International Congress 2014 – Genetics and environmental factors underlying asthma and COPD Year: 2014 Proteome fingerprints define groups with distinct clinico-pathological phenotypes in the U-BIOPRED asthma study Source: International Congress 2016 – What's new in biomarker analysis? Year: 2016 Gene expression profiling identifies neutrophilic and eosinophilic asthma as distinct subtypes Source: Eur Respir J 2007; 30: Suppl. 51, 526s Year: 2007 Clinical COPD phenotypes identified by cluster analysis: validation with mortality Source: Eur Respir J 2012; 40: 495-496 Year: 2012 Combined analysis of gene expression and clinical data in the severe asthma U-BIOPRED cohorts Source: International Congress 2014 – Novel approaches in transcriptomics and epigenomics in inflammatory lung diseases and lung cancer Year: 2014 Association of candidate genes with FeNO in asthma: preliminary results from the Gene Environment Interactions in Respiratory Diseases (GEIRD) study. Source: Virtual Congress 2020 – Asthma and COPD: How genetic and environment influences its developement? Year: 2020 Gene expression patterns in lung emphysema. A gene microarray analysis Source: Eur Respir J 2002; 20: Suppl. 38, 87s Year: 2002 Gene expression and genetic variations of HSP70TLR2 and TLR4 in COPD Source: Virtual Congress 2021 – Pathogenic progress in airway diseases Year: 2021 Gene expression signatures in airway and nasal epithelium of COPD: linking endotypes to clinical outcomes Source: International Congress 2017 – Heterogeneity in COPD inflammation: implications for therapy and clinical outcomes Year: 2017 RNA-Seq transcriptome profiling of genes regulated by vitamin D in an asthma model Source: International Congress 2015 – Immune mechanisms in the human lung Year: 2015 Gene variant-methylation interactions and asthma risk Source: International Congress 2015 – PG15 Gene-environment interactions in lung disease Year: 2015 Prediction models for exacerbations in different COPD patient populations: Results of five large databases Source: International Congress 2016 – COPD and asthma COPD overlap syndrome (ACOS): novelties in terms of prevalence, risk factors, and prognosis in COPD Year: 2016 Integration at the network- and pathway level of multi-omics data from multiple anatomical locations facilitate COPD sub-phenotyping in small cohorts Source: International Congress 2017 – Novel molecular and genetic targets in COPD Year: 2017