Systems approaches to understand oxygen sensing: how multi-omics has driven advances in understanding oxygen-based signalling | Zendy

Michael Batie | Zendy; Niall S. Kenneth | Zendy; Sónia Rocha | Zendy

Open Access

Systems approaches to understand oxygen sensing: how multi-omics has driven advances in understanding oxygen-based signalling

Author(s) -

Michael Batie,

Niall S. Kenneth,

Sónia Rocha

Publication year - 2022

Publication title -

biochemical journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.706

H-Index - 265

eISSN - 1470-8728

pISSN - 0264-6021

DOI - 10.1042/bcj20210554

Subject(s) - proteome , biology , hypoxia (environmental) , computational biology , signalling , chromatin , transcription factor , signalling pathways , microbiology and biotechnology , transcriptome , gene expression , regulation of gene expression , hypoxia inducible factors , oxygen , bioinformatics , gene , signal transduction , chemistry , genetics , organic chemistry

Hypoxia is a common denominator in the pathophysiology of a variety of human disease states. Insight into how cells detect, and respond to low oxygen is crucial to understanding the role of hypoxia in disease. Central to the hypoxic response is rapid changes in the expression of genes essential to carry out a wide range of functions to adapt the cell/tissue to decreased oxygen availability. These changes in gene expression are co-ordinated by specialised transcription factors, changes to chromatin architecture and intricate balances between protein synthesis and destruction that together establish changes to the cellular proteome. In this article, we will discuss the advances of our understanding of the cellular oxygen sensing machinery achieved through the application of ‘omics-based experimental approaches.

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