Author: Charles J Sande; Jacqueline M Waeni; James M Njunge; Martin N Mutunga; Elijah Gicheru; Nelson K Kibinge; Agnes Gwela
Title: In-silico immune cell deconvolution of the airway proteomes of infants with pneumonia reveals a link between reduced airway eosinophils and an increased risk of mortality Document date: 2019_11_13
ID: h1zkka8p_5
Snippet: Phenotype-classification features were derived from a previously published data set containing the individual proteomes of purified immune cell populations 12 (deconvolution data set) and these were then applied to airway proteome data from children with different pneumonia outcomes (Figure 1 contains a graphical description of the study design). Using this information, we identified an eosinophil-related protein signature that was elevated in th.....
Document: Phenotype-classification features were derived from a previously published data set containing the individual proteomes of purified immune cell populations 12 (deconvolution data set) and these were then applied to airway proteome data from children with different pneumonia outcomes (Figure 1 contains a graphical description of the study design). Using this information, we identified an eosinophil-related protein signature that was elevated in the airways of children who survived pneumonia but that was downregulated in fatal pneumonia and in well controls. We subsequently validated this association using a large retrospective pneumonia cohort of >10,000 children.
Search related documents:
Co phrase search for related documents- cell population and protein signature: 1
- cell population and study design: 1, 2, 3, 4, 5, 6, 7, 8, 9
- child airway and study design: 1, 2
Co phrase search for related documents, hyperlinks ordered by date