Source: Annual Congress 2013 –Origins and diagnosis of asthma
Disease area: Airway diseases



Rating:

Share or cite this content

Citations should be made in the following way:
D. Burg, X. Yang, J. Brandsma, A. Rowe, Y. Guo, J. Corfield, R. Djukanovic, P. Skipp (Southampton, London, High Wycombe, Nottingham, United Kingdom; Molndal, Sweden). High-throughput analysis of induced sputum from the U-BIOPRED study using novel proteomic and data mining approaches. Eur Respir J 2013; 42: Suppl. 57, 5022

Member's Comments

Timothy Higenbottam - 21.10.2013 21:19
GREAT

Related content which might interest you: 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 Genetics, genomics and a systems approach to asthma Source: Annual Congress 2008 - “Omics” and systems biology: the promise of future disease understanding Year: 2008 Unbiased cluster analysis of severe asthma based on metabolomics by the U-BIOPRED electronic nose platform Source: Annual Congress 2013 –Asthma and COPD: diseases with different phenotypes Year: 2013 An integrative genomics approach identifies new asthma pathways related to air pollution exposure Source: International Congress 2015 – Genetics, genomics and exposures in asthma and COPD Year: 2015 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 Further resolution of non-T2 asthma subtypes from high-throughput sputum transciptomics data in U-BIOPRED Source: International Congress 2018 – Innovative therapies in asthma and COPD Year: 2018 Large-scale quantitative proteomic analysis identifies pathways in COPD-associated lung cancer Source: International Congress 2015 – Cell biology of lung cancer and new biomarkers Year: 2015 Transcriptome analysis of controlled and problematic severe childhood asthma Source: Annual Congress 2013 –Uncontrolled and severe asthma in children Year: 2013 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 Integration of transcriptomics and metabolomics with microbiomic data to identify host-microbiota interactions Source: International Congress 2019 – PG16 Assessment and analysis of the lung microbiome Year: 2019 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 A multi-omics data integration approach to identify a predictive molecular signature of CLAD Source: International Congress 2015 – Predictors of lung transplant complications Year: 2015 Metabolomic profiling of clinical sputum samples reveals novel biomarkers for the early identification of lung cancer patients Source: International Congress 2014 – Improving diagnosis of thoracic tumours Year: 2014 High-throughput molecular analysis in lung cancer: insights into biology and potential clinical applications Source: Eur Respir J 2009; 33: 489-506 Year: 2009 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 Discrimination of sepsis metabolic profiles revealed by LC/MS-MS based metabonomics approach Source: Annual Congress 2013 –Infection, sepsis and outcomes in ICU Year: 2013 Metabolomic profiling differences among asthma, COPD and healthy controls: a LC-MS-based metabolomics analysis Source: International Congress 2019 – Evaluation of basic science in airway diseases Year: 2019 Comparative mycobacterial genomics as a tool for drug target and antigen discovery Source: Eur Respir J 2002; 20: 78S-86S Year: 2002 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 Integration of multi-omics datasets enables molecular classification of COPD Source: Eur Respir J, 51 (5) 1701930; 10.1183/13993003.01930-2017 Year: 2018