Single cell ‘omics analysis

Y. Xu (Cincinnati, USA)

Source: ERS Lung Science Conference 2016
Number: 6

PDF journal article, handout or slides

Rating: 0
You must login to grade this presentation.

Share or cite this content

Citations should be made in the following way:
Y. Xu (Cincinnati, USA). Single cell ‘omics analysis. ERS Lung Science Conference 2016

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:
Personal ‘omics profiling
Source: ERS Lung Science Conference 2016
Year: 2016

Quantitative proteomic analysis: methods and applications
Source: Lung Science Conference 2004 - Application of our knowledge of the basic processes of lung inflammation in lung diseases
Year: 2004


Longitudinal single-cell transcriptomics of lung regeneration reveal novel cell fate trajectories
Source: International Congress 2019 – The Human Lung Cell Atlas
Year: 2019


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


An atlas of the aging lung mapped by single cell transcriptomics and deep tissue proteomics
Source: Virtual Congress 2020 – Reflections from the Lung Science 2020 conference
Year: 2020


Application of 'omics to uncover novel disease pathways
Source: Annual Congress 2013 –Ceremony for the ERS Maurizio Vignola Award for Best Publication on Innovation in Pneumology (financially supported by Chiesi Foundation) followed by Hot Topic: Towards delivering personalised or precision medicine in respiratory healthcare
Year: 2013


High-throughput analysis of induced sputum from the U-BIOPRED study using novel proteomic and data mining approaches
Source: Annual Congress 2013 –Origins and diagnosis of asthma
Year: 2013



Cell type eQTL deconvolution of bronchial epithelium through integration of single cell and bulk RNA-seq
Source: Virtual Congress 2021 – Early manifestations of chronic respiratory disease: zooming in at the epithelial barrier
Year: 2021



Biobanking and cryopreservation of human lung explants for omic analysis
Source: Eur Respir J, 55 (1) 1801635; 10.1183/13993003.01635-2018
Year: 2020



High-throughput molecular analysis in lung cancer: insights into biology and potential clinical applications
Source: Eur Respir J 2009; 33: 489-506
Year: 2009



Late Breaking Abstract - Combinative analysis of RNA-seq and proteomics reveals potential molecular targets in TGF-beta1-induced fibroblast-myofibroblast transition
Source: Virtual Congress 2020 – New clinical insights into idiopathic pulmonary fibrosis
Year: 2020

From genomics to proteomics
Source: Research Seminar 2009 - Post Genome Respiratory Epidemiology II - An interdisciplinary challenge
Year: 2008



Automated time-lapse analysis of ciliary function
Source: International Congress 2016 – Studies in airway cell biology
Year: 2016


Metabolomic analyses reveal new stage-specific features of COVID-19
Source: Eur Respir J, 59 (2) 2100284; 10.1183/13993003.00284-2021
Year: 2022



Application of ’omics technologies to biomarker discovery in inflammatory lung diseases
Source: Eur Respir J 2013; 42: 802-825
Year: 2013



A data management and analysis platform for RASP-UK multiomics clinical datasets
Source: Virtual Congress 2021 – Exacerbations of chronic respiratory diseases, including SARS-CoV-2
Year: 2021



U-BIOPRED accessible handprint: combining omics platforms to identify stable asthma subphenotypes
Source: International Congress 2018 – Biomarkers in COPD and asthma
Year: 2018