title: Connecting growth with gene expression: of noise and numbers.
abstract: Growth is a dynamic process whereby cells accumulate mass. Growth rates of single cells are connected to RNA and protein synthesis rates, and therefore with biomolecule numbers. Noise in gene expression depends on these numbers, and is thus linked with cellular growth. Whether these global attributes of the cell participate in gene regulation is still largely unexplored. New experimental and modelling studies suggest that systemic variations in biomolecule numbers can coordinate cellular processes, including growth itself, through global regulatory feedback that acts in addition to genetic regulatory networks. Here, we review these findings and speculate on possible implications of this less appreciated layer of gene regulation for cellular physiology and adaptation to changing environments.
authors.affiliation: Department of Mathematics, Imperial College, London, United Kingdom. Electronic address: v.shahrezaei@imperial.ac.uk.
authors.forename: Vahid
authors.initials: V
authors.lastname: Shahrezaei
authors.affiliation: MRC Clinical Sciences Centre, Imperial College, Du Cane Rd, London, United Kingdom. Electronic address: samuel.marguerat@csc.mrc.ac.uk.
authors.forename: Samuel
authors.initials: S
authors.lastname: Marguerat
mesh_terms: D001419:Bacteria / Q000235:genetics* / Q000254:growth & development*; D048708:Cell Growth Processes / Q000235:genetics; D015870:Gene Expression; D005786:Gene Expression Regulation; D053263:Gene Regulatory Networks; D008954:Models, Biological; D015003:Yeasts / Q000235:genetics* / Q000254:growth & development*