Ontology highlight
ABSTRACT: Background
Clustering approaches using single omics platforms are increasingly used to characterise molecular phenotypes of eosinophilic and neutrophilic asthma. Effective integration of multi-omics platforms should lead towards greater refinement of asthma endotypes across molecular dimensions and indicate key targets for intervention or biomarker development.Objectives
To determine whether multi-omics integration of sputum leads to improved granularity of the molecular classification of severe asthma.Methods
We analyzed six -omics data blocks-microarray transcriptomics, gene set variation analysis of microarray transcriptomics, SomaSCAN proteomics assay, shotgun proteomics, 16S microbiome sequencing, and shotgun metagenomic sequencing-from induced sputum samples o
SUBMITTER: Kermani NZ
PROVIDER: S-EPMC11283589 | biostudies-literature | 2024 Jul
REPOSITORIES: biostudies-literature