Targeted proteomics for endotyping of chronic rhinosinusitis

To identify biomarkers allowing for the distinction between different chronic rhinosinusitis patient groups and disease controls (n=20 of each DC, CRSsNP, CRSwNP and N-ERD), we use high-throughput targeted proteomics (Olink Multiplex platform) in nasal secretions and serum samples.

Type: Population Genomics
Archiver: European Genome-Phenome Archive (EGA)

2 Datasets

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Dataset ID	Description	Technology	Samples
EGAD50000001327	Serum samples (DC, CRSsNP, CRSwNP, N-ERD, n=20 each) were subjected to the Olink Explore 3072 analysis including the following panels: Olink Explore 384 Cardiometabolic and Cardiometabolic II, Olink Explore 384 Inflammation and Inflammation II, Olink Explore 384 Neurology and Neurology II, Olink Explore Oncology and Oncology II. The latter had 4 failed samples. From the originally 2925 unique proteins determined, 84 proteins had missing values in all samples and were removed. Further 164 proteins had >50% of values below LOD across all four groups and were removed with remaining values below threshold adjusted to LOD. This data cleaning left 2695 unique assays (2677 unique proteins) in serum to be analysed. Additionally, six assays (LMOD1, IDO1, SCRIB, CXCL8, IL6, TNF) were measured four times each in different panel.	unspecified	1
EGAD50000001328	Olink Target 96 Inflammation panels were applied to nasal secretions (DC, CRSsNP, CRSwNP, N-ERD, n=20 each). Across both panels, 184 assays (180 unique proteins) were determined, of which 4 appeared in both panels and were measured twice (CCL11, IL10, IL5, IL-6)	unspecified	1