Alexander Ferrena, Xiang Yu Zheng, Kevyn Jackson, Bang Hoang, Bernice Morrow, Deyou Zheng
scDAPP: a comprehensive single-cell transcriptomics analysis pipeline optimized for cross-group comparison
bioRxiv : the preprint server for biology
exploring pathogenesis osteoarthritis oa important prevention diagnosis treatment therefore aimed construct novel signature genes cfrgs combining cuproptosisrelated genes crgs ferroptosisrelated genes frgs explore pathogenesis oa aid treatment differentially expressed cfrgs cfdegs obtained using r software enrichment analysis performed proteinprotein interaction ppi network constructed based cfdegs seven hub genes screened three machine learning methods verification experiments used identify four signature biomarkers cfdegs gene set enrichment analysis gene set variation analysis singlesample gene set enrichment analysis immune function analysis drug prediction cerna network analysis performed based signature biomarkers subsequently disease model oa constructed using biomarkers validated gse82107 dataset finally analyzed distribution expression cfdegs various cell populations total 63 frgs found closely associated 11 crgs 40 cfdegs identified bioenrichment analysis showed mainly associated inflammation external cellular stimulation autophagy cdkn1a fzd7 gabarapl2 slc39a14 identified oa signature biomarkers corresponding mirnas lncrnas predicted finally scrnaseq data analysis showed differentially expressed cfrgs significantly different expression distributions across cell populations four genes namely cdkn1a fzd7 gabarapl2 slc39a14 excellent biomarkers prospective therapeutic targets oa