phenomenon

gene expression noise

Gene expression noise is the stochastic variation in gene product levels among isogenic cells under identical conditions.
8 related articles

Description

Gene expression noise — stochastic (probabilistic) fluctuations in mRNA and protein concentrations, caused by the small number of molecules and the random nature of biochemical reactions. Intrinsic noise — the inherent variability of transcription and translation processes due to the discrete nature of chemical events — and extrinsic noise — fluctuations in the numbers of transcription factors, ribosomes, and metabolites common to many genes in the cell — are distinguished. Intrinsic noise is usually measured as the squared coefficient of variation (σ²/μ²), and it is inversely proportional to the average number of molecules.

History

The concept of biochemical noise dates back to the work of Max Delbrück (1940s) on mutagenesis. In 1957, Aaron Novick and Milton Weiner experimentally recorded fluctuations of β-galactosidase in E. coli. However, wide recognition came after 2002 with the publication of Elowitz's paper, where using two fluorescent reporters (CFP and YFP) under identical promoters, intrinsic and extrinsic noise were quantitatively separated. Later, studies by Swain and Thatuv (2005–2010) showed the relationship between noise, gene network architecture, and evolutionary fitness. In the 2010s, super-resolution microscopy allowed visualization of individual transcripts in living cells, confirming the bursty nature of transcription (transcriptional bursts).

How it works

Noise is generated at all stages of expression: (1) transcription initiation — the promoter randomly switches between active and inactive states due to local chromatin rearrangements and dissociation of activators (bursts); (2) mRNA maturation and degradation — lifetime is determined by stochastic interactions with RNases; (3) translation initiation depends on ribosome collision with mRNA, which is a rare event in the cell volume; (4) protein secretion and degradation are also variable. Combinatorially, these processes amplify variation, and feedback loops (e.g., negative autoregulation) can reduce noise. In eukaryotes, noise is modulated by epigenetic factors and compartmentalization.

In practice

Explains why bacteria survive antibiotics and why tumors become resistant to therapy; used to create stable synthetic genetic circuits.

Fun fact

Bacteria use noise as a strategy: at any time, a few cells in a colony randomly become resistant to an antibiotic, even without encountering it — thus the population hedges against extinction.

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