Stochastic gene expression in a single cell.

by: MB Elowitz, AJ Levine, ED Siggia, PS Swain

Science, Vol. 297, No. 5584. (16 August 2002), pp. 1183-1186.

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摘要

Clonal populations of cells exhibit substantial phenotypic variation. Such heterogeneity can be essential for many biological processes and is conjectured to arise from stochasticity, or noise, in gene expression. We constructed strains of Escherichia coli that enable detection of noise and discrimination between the two mechanisms by which it is generated. Both stochasticity inherent in the biochemical process of gene expression (intrinsic noise) and fluctuations in other cellular components (extrinsic noise) contribute substantially to overall variation. Transcription rate, regulatory dynamics, and genetic factors control the amplitude of noise. These results establish a quantitative foundation for modeling noise in genetic networks and reveal how low intracellular copy numbers of molecules can fundamentally limit the precision of gene regulation.

@article{citeulike:498902, abstract = {Clonal populations of cells exhibit substantial phenotypic variation. Such heterogeneity can be essential for many biological processes and is conjectured to arise from stochasticity, or noise, in gene expression. We constructed strains of Escherichia coli that enable detection of noise and discrimination between the two mechanisms by which it is generated. Both stochasticity inherent in the biochemical process of gene expression (intrinsic noise) and fluctuations in other cellular components (extrinsic noise) contribute substantially to overall variation. Transcription rate, regulatory dynamics, and genetic factors control the amplitude of noise. These results establish a quantitative foundation for modeling noise in genetic networks and reveal how low intracellular copy numbers of molecules can fundamentally limit the precision of gene regulation.}, address = {Laboratory of Cancer Biology, Center for Studies in Physics and Biology, Rockefeller University, New York, NY 10021, USA. elowitm@rockefeller.edu}, author = {Elowitz, M. B. and Levine, A. J. and Siggia, E. D. and Swain, P. S. }, citeulike-article-id = {498902}, doi = {http://dx.doi.org/10.1126/science.1070919}, issn = {1095-9203}, journal = {Science}, keywords = {ecoli, fluctuations, gene-expression, noise, single-cell, stochasticity}, month = {August}, number = {5584}, pages = {1183--1186}, posted-at = {2007-01-10 13:03:13}, priority = {0}, title = {Stochastic gene expression in a single cell.}, url = {http://dx.doi.org/10.1126/science.1070919}, volume = {297}, year = {2002} }

RIS record

TY - JOUR ID - citeulike:498902 L3 - citeulike-article-id:498902 N2 - Clonal populations of cells exhibit substantial phenotypic variation. Such heterogeneity can be essential for many biological processes and is conjectured to arise from stochasticity, or noise, in gene expression. We constructed strains of Escherichia coli that enable detection of noise and discrimination between the two mechanisms by which it is generated. Both stochasticity inherent in the biochemical process of gene expression (intrinsic noise) and fluctuations in other cellular components (extrinsic noise) contribute substantially to overall variation. Transcription rate, regulatory dynamics, and genetic factors control the amplitude of noise. These results establish a quantitative foundation for modeling noise in genetic networks and reveal how low intracellular copy numbers of molecules can fundamentally limit the precision of gene regulation. IS - 5584 JF - Science SN - 1095-9203 AD - Laboratory of Cancer Biology, Center for Studies in Physics and Biology, Rockefeller University, New York, NY 10021, USA. elowitm@rockefeller.edu EP - 1186 TI - Stochastic gene expression in a single cell. VL - 297 SP - 1183 KW - ecoli KW - fluctuations KW - gene-expression KW - noise KW - single-cell KW - stochasticity AU - Elowitz, MB AU - Levine, AJ AU - Siggia, ED AU - Swain, PS PY - 2002/08/16/ UR - http://dx.doi.org/10.1126/science.1070919 ER -

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