PMC:7252096 / 108147-109109 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/7252096","sourcedb":"PMC","sourceid":"7252096","source_url":"https://www.ncbi.nlm.nih.gov/pmc/7252096","text":"Human Adult Nasal Mucosa\nSample processing, sequencing, and analysis was performed as in (Ordovas-Montanes et al., 2018). Briefly, scRNA-seq cell suspensions were freshly processed using Seq-Well v1 and Seurat v2.3.4 was utilized for computational analyses presented here (Butler et al., 2018, Satija et al., 2015). Cell by gene matrix and R code for initialization of object available to download as Supplemental Data and Supplementary Tables here https://www.nature.com/articles/s41586-018-0449-8 and here:\nhttp://shaleklab.com/resource/mapping-allergic-inflammation/? and visualized here: https://singlecell.broadinstitute.org/single_cell/study/SCP253?scpbr=the-alexandria-project#study-summary. Scores for various cytokines acting on human airway epithelial cells were calculated based on gene lists derived for (Ordovas-Montanes et al., 2018), calculated using AddModuleScore function Seurat, and effect size calculated by Cohen’s d, as previously 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