Applications are invited for a Research Fellow post on a Medical Research Council funded project in the laboratory of Dr Rachel Clifford (Biodiscovery Institute) https://www.nottingham.ac.uk/medicine/...

First, using a whole-gene coexpression network analysis of the RNA sequencing data generated from 782 sputum samples from both healthy adults and those with asthma, Fahy and colleagues identified 42 coexpressed gene networks (5). Both T1 and T2 networks were identified, and this tracked with the presence of sputum neutrophils and eosinophils, respectively. However, using consensus hierarchical clustering to cluster the data using high and low expression of these T1 and T2 networks, they identified distinct disease endotypes. Patients who were T1 low (T1-L) and T2 low (T2-L) had the best disease control in terms of lung function parameters and exacerbation frequency. Those who were T1 high (T1-H) and T2 high (T2-H) not only had more severe disease but also the longest duration of disease.