SARS-CoV-2 signaling pathway map: A functional landscape of molecular mechanisms in COVID-19.
Devasahayam Arokiar Balaya RexShobha DagamajaluRichard Kumaran KandasamyRajesh RajuThottethodi Subrahmanya Keshava PrasadPublished in: Journal of cell communication and signaling (2021)
Coronavirus disease (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). COVID-19 has been declared a pandemic by WHO. The clinical manifestation and disease progression in COVID-19 patients varies from minimal symptoms to severe respiratory issues with multiple organ failure. Understanding the mechanism of SARS-CoV-2 interaction with host cells will provide key insights into the effective molecular targets for the development of novel therapeutics. Recent studies have identified virus-mediated phosphorylation or activation of some major signaling pathways, such as ERK1/2, JNK, p38, PI3K/AKT and NF-κB signaling, that potentially elicit the cytokine storm that serves as a major cause of tissue injuries. Several studies highlight the aggressive inflammatory response particularly 'cytokine storm' in SARS-CoV-2 patients. A depiction of host molecular dynamics triggered by SARS-CoV-2 in the form of a network of signaling molecules will be helpful for COVID-19 research. Therefore, we developed the signaling pathway map of SARS-CoV-2 infection using data mined from the recently published literature. This integrated signaling pathway map of SARS-CoV-2 consists of 326 proteins and 73 reactions. These include information pertaining to 1,629 molecular association events, 30 enzyme catalysis events, 43 activation/inhibition events, and 8,531 gene regulation events. The pathway map is publicly available through WikiPathways: https://www.wikipathways.org/index.php/Pathway:WP5115 .
Keyphrases
- sars cov
- signaling pathway
- respiratory syndrome coronavirus
- pi k akt
- induced apoptosis
- cell cycle arrest
- coronavirus disease
- molecular dynamics
- epithelial mesenchymal transition
- inflammatory response
- systematic review
- high density
- small molecule
- cell proliferation
- cell death
- social media
- big data
- electronic health record
- oxidative stress
- data analysis
- end stage renal disease
- machine learning
- depressive symptoms