Extrinsic Noise and Heavy-Tailed Laws in Gene Expression
Lucy Ham, Rowan D. Brackston, Michael P. H. Stumpf
Abstract
Noise in gene expression is one of the hallmarks of life at the molecular scale. Here we derive analytical solutions to a set of models describing the molecular mechanisms underlying transcription of DNA into RNA. Our ansatz allows us to incorporate the effects of extrinsic noise-encompassing factors external to the transcription of the individual gene-and discuss the ramifications for heterogeneity in gene product abundance that has been widely observed in single cell data. Crucially, we are able to show that heavy-tailed distributions of RNA copy numbers cannot result from the intrinsic stochasticity in gene expression alone, but must instead reflect extrinsic sources of variability.
Topics & Concepts
AnsatzGene expressionGeneStatistical physicsBiologyTranscription (linguistics)Noise (video)Computational biologyPhysicsRNAGeneticsRegulation of gene expressionComputer scienceQuantum mechanicsArtificial intelligenceLinguisticsPhilosophyImage (mathematics)Gene Regulatory Network AnalysisSingle-cell and spatial transcriptomicsGene expression and cancer classification