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Integration of transcriptomic profile of SARS-CoV-2 infected normal human bronchial epithelial cells with metabolic and protein-protein interaction networks.
Karakurt, Hamza Umut; PIr, Pinar.
  • Karakurt HU; Department of Bioengineering, Faculty of Engineering, Gebze Technical University, Kocaeli Turkey.
  • PIr P; Idea Technology Solutions, Istanbul Turkey.
Turk J Biol ; 44(3): 168-177, 2020.
Article in English | MEDLINE | ID: covidwho-1395051
ABSTRACT
A novel coronavirus (SARS-CoV-2, formerly known as nCoV-2019) that causes an acute respiratory disease has emerged in Wuhan, China and spread globally in early 2020. On January the 30th, the World Health Organization (WHO) declared spread of this virus as an epidemic and a public health emergency. With its highly contagious characteristic and long incubation time, confinement of SARS-CoV-2 requires drastic lock-down measures to be taken and therefore early diagnosis is crucial. 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. Significantly affected metabolites have the potential to be used in diagnostics while pathways of protein clusters have the potential to be used as targets for supportive or novel therapeutic approaches. Our results are in accordance with the literature on response of IL6 family of cytokines and their importance, in addition, we find that matrix metalloproteinase 2 (MMP2) and matrix metalloproteinase 9 (MMP9) with keratan sulfate synthesis pathway may play a key role in the infection. We hypothesize that MMP9 inhibitors have potential to prevent "cytokine storm" in severely affected patients.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Turk J Biol Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Turk J Biol Year: 2020 Document Type: Article