e-learning
resources
London 2016
Sunday, 04.09.2016
Novel insights into alveolar and bronchial epithelial cell injury and repair
Login
Search all ERS
e-learning
resources
Disease Areas
Airways Diseases
Interstitial Lung Diseases
Respiratory Critical Care
Respiratory Infections
Paediatric Respiratory Diseases
Pulmonary Vascular Diseases
Sleep and Breathing Disorders
Thoracic Oncology
Events
International Congress
Courses
Webinars
Conferences
Research Seminars
Journal Clubs
Publications
Breathe
Monograph
ERJ
ERJ Open Research
ERR
European Lung White Book
Handbook Series
Guidelines
All ERS guidelines
e-learning
CME Online
Case reports
Short Videos
SpirXpert
Procedure Videos
CME tests
Reference Database of Respiratory Sounds
Radiology Image Challenge
Brief tobacco interventions
EU Projects
VALUE-Dx
ERN-LUNG
ECRAID
UNITE4TB
Disease Areas
Events
Publications
Guidelines
e-learning
EU Projects
Login
Search
LSC Abstract – Unsupervised gene co-expression analysis identifies a novel endotype in severe asthma
Akul Singhania (Southampton, United Kingdom), Akul Singhania, Laurie C.K. Lau, Hitasha Rupani, Nivenka Jayasekera, Hans Michael Haitchi, Christopher H. Woelk, Peter H. Howarth
Source:
International Congress 2016 – Novel insights into alveolar and bronchial epithelial cell injury and repair
Session:
Novel insights into alveolar and bronchial epithelial cell injury and repair
Session type:
Thematic Poster
Number:
951
Disease area:
Airway diseases
Rating:
You must
login
to grade this presentation.
Share or cite this content
Citations should be made in the following way:
Akul Singhania (Southampton, United Kingdom), Akul Singhania, Laurie C.K. Lau, Hitasha Rupani, Nivenka Jayasekera, Hans Michael Haitchi, Christopher H. Woelk, Peter H. Howarth. LSC Abstract – Unsupervised gene co-expression analysis identifies a novel endotype in severe asthma. Eur Respir J 2016; 48: Suppl. 60, 951
You must
login
to share this Presentation/Article on Twitter, Facebook, LinkedIn or by email.
Member's Comments
No comment yet.
You must
Login
to comment this presentation.
Related content which might interest you:
Late Breaking Abstract - Implications of treatable traits and treatment choices on exacerbation risk in moderate-severe asthma
Observational cohort study of pulmonary exacerbations in alpha-1 antitrypsin deficiency
Management of Severe Asthma in Pediatric Patients by an Interdisciplinary Team in a Public Hospital Setting.
Related content which might interest you:
LSC Abstract – Identification of distinct biological phenotypes of ARDS by cluster analysis and association with mortality
Source: International Congress 2016 – Novel insights into alveolar and bronchial epithelial cell injury and repair
Year: 2016
Integrated analysis of COPD gene expression data reveals specific pathway signatures
Source: Annual Congress 2010 - Genetics of obstruction
Year: 2010
Identification of asthma phenotypes using cluster analysis
Source: International Congress 2018 – Exploring the importance of daily physical activity in chronic respiratory disease
Year: 2018
Cluster analysis to identify phenotypes in COPD
Source: Annual Congress 2009 - Quality of life and symptoms in COPD
Year: 2009
LSC Abstract – Multi-level differential network analysis of COPD exacerbations
Source: International Congress 2016 – New signalling pathways in COPD
Year: 2016
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
Gene expression profiling identifies neutrophilic and eosinophilic asthma as distinct subtypes
Source: Eur Respir J 2007; 30: Suppl. 51, 526s
Year: 2007
Two phenothypes of severe asthma identified by cluster analysis
Source: International Congress 2018 – Clinical markers of asthma
Year: 2018
Microarray gene expression profiling in a murine model of asthma
Source: Annual Congress 2008 - Basic science in asthma and COPD
Year: 2008
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
Temporal stability of asthma phenotypes identified by a clustering approach: An ECRHS-SAPALDIA-EGEA study
Source: Annual Congress 2012 - Asthma: from childhood environment to adult phenotypes
Year: 2012
Gene expression patterns in lung emphysema. A gene microarray analysis
Source: Eur Respir J 2002; 20: Suppl. 38, 87s
Year: 2002
Clinical COPD phenotypes: a novel approach using principal component and cluster analyses
Source: Eur Respir J 2010; 36: 531-539
Year: 2010
Differential mast cell activation by transcriptomic signature analysis in the U-BIOPRED severe asthma cohort
Source: Virtual Congress 2020 – Novel methods, diagnostics and biomarkers of chronic lung diseases
Year: 2020
Identification of disease genes by expression profiling
Source: Eur Respir J 2001; 18: 882-889
Year: 2001
A pooling based genome-wide analysis identifies new potential candidate genes for atopy in the echrs study
Source: Annual Congress 2009 - Asthma genetics: from genome wide to single nucleotide polymorphisms
Year: 2009
The use of microarray analysis of gene signalling to determine heterogeneity of COPD exacerbation phenotypes
Source: ERS Lung Science Conference 2016
Year: 2016
Common genes underlying asthma and COPD? Genome-wide analysis on the Dutch hypothesis
Source: Eur Respir J 2014; 44: 860-872
Year: 2014
Weighted Gene Co-expression Network Analysis of blood paediatric samples from the U-BIOPRED study identifies oxidative stress association with asthma severity
Source: International Congress 2018 – New developments in paediatric asthma
Year: 2018
Genetic heterogeneity of asthma phenotypes identified by a clustering approach
Source: Eur Respir J 2014; 43: 439-452
Year: 2013
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking "Accept", you consent to the use of the cookies.
Accept