id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-341524-zvic4xc9	KARAKURT, Hamza Umut	Integration of transcriptomic profile of SARS-CoV-2 infected normal human bronchial epi-thelial cells with metabolic and protein-protein interaction networks	2020-06-21		.txt	text/plain	3611	192	45	We analysed transcriptome of SARS-CoV-2 infected human lung epithelial cells, compared it with mock-infected cells, used network-based reporter metabolite approach and integrated the transcriptome data with protein-protein interaction network to elucidate the early cellular response. The response in signalling pathways, gene expression, protein levels and metabolic profiles are regulated as a result of interactions in multilayer biological networks, hence a holistic view of the cellular response can be elucidated by an integrated approach. Here, we provide an analysis of transcriptional response after 24 h of infection, further, we integrated transcriptome profile with metabolic and protein-protein interaction networks to reveal multilayer mechanistic details of the SARS-CoV-2 infection in NHBE cells. Significant upregulation in expression of matrix metalloproteinase 9 (MMP9) in NHBE cells indicates that drugs which target MMP9 have potential uses in SARS-CoV-2 infection. This complex network structure between signalling pathways indicated that RAGE receptor targeting drugs have the potential to be used in SARS-CoV-2 patients to suppress symptoms.	./cache/cord-341524-zvic4xc9.txt	./txt/cord-341524-zvic4xc9.txt