Systems approaches to investigate the role of NF-κB signaling in aging. Issue 2 (28th January 2022)

• Record Type: Journal Article
• Authors: Haga, Masatoshi; Okada, Mariko
• Is Part Of: Biochemical journal. Volume 479:Issue 2(2022)
• Page Start: 161
• Page End: 183
• Publication Date: 2022-01-28
• Subjects: aging -- mathematical model -- nuclear factor kappa B -- systems biology -- transcription factors; Biochemistry -- Periodicals; 572
• DOI: 10.1042/BCJ20210547
• Languages: English
• ISSNs: 0264-6021

Abstract

Abstract : The nuclear factor-κB (NF-κB) signaling pathway is one of the most well-studied pathways related to inflammation, and its involvement in aging has attracted considerable attention. As aging is a complex phenomenon and is the result of a multi-step process, the involvement of the NF-κB pathway in aging remains unclear. To elucidate the role of NF-κB in the regulation of aging, different systems biology approaches have been employed. A multi-omics data-driven approach can be used to interpret and clarify unknown mechanisms but cannot generate mechanistic regulatory structures alone. In contrast, combining this approach with a mathematical modeling approach can identify the mechanistics of the phenomena of interest. The development of single-cell technologies has also helped clarify the heterogeneity of the NF-κB response and underlying mechanisms. Here, we review advances in the understanding of the regulation of aging by NF-κB by focusing on omics approaches, single-cell analysis, and mathematical modeling of the NF-κB network.