Potential network markers and signaling pathways for B cells of COVID-19 based on single-cell condition-specific networks

Abstract

Abstract To explore the potential network markers and related signaling pathways of human B cells infected by COVID-19, we performed standardized integration and analysis of single-cell sequencing data to construct conditional cell-specific networks (CCSN) for each cell. Then the peripheral blood cells were clustered and annotated based on the conditional network degree matrix (CNDM) and gene expression matrix (GEM), respectively, and B cells were selected for further analysis. Besides, based on the CNDM of B cells, the hub genes and ‘dark’ genes (a gene has a significant difference between case and control samples not in a gene expression level but in a conditional network degree level) closely related to COVID-19 were revealed. Interestingly, some of the ‘dark’ genes and differential degree genes (DDGs) encoded key proteins in the JAK-STAT pathway, which had antiviral effects. The protein p21 encoded by the ‘dark’ gene CDKN1A was a key regulator for the COVID-19 infection-related signaling pathway. Elevated levels of proteins encoded by some DDGs were directly related to disease severity of patients with COVID-19. In short, the proteins encoded by ‘dark’ genes complement some missing links in COVID-19 and these signaling pathways played an important role in the growth and activation of B cells.

Keywords

• Single-cell RNA sequencing
• B cells
• Conditional cell-specific network
• Hub gene
• ‘Dark’ genes
• Pathway