Origins of extrinsic variability in eukaryotic gene expression

被引:213
作者
Volfson, D
Marciniak, J
Blake, WJ
Ostroff, N
Tsimring, LS
Hasty, J [1 ]
机构
[1] Univ Calif San Diego, Dept Bioengn, La Jolla, CA 92093 USA
[2] Univ Calif San Diego, Inst Nonlinear Sci, La Jolla, CA 92093 USA
[3] Boston Univ, Dept Biomed Engn, Boston, MA 02215 USA
关键词
D O I
10.1038/nature04281
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Variable gene expression within a clonal population of cells has been implicated in a number of important processes including mutation and evolution(1,2), determination of cell fates(3,4) and the development of genetic disease(5,6). Recent studies have demonstrated that a significant component of expression variability arises from extrinsic factors thought to influence multiple genes simultaneously(7-10), yet the biological origins of this extrinsic variability have received little attention. Here we combine computational modelling(11-18) with fluorescence data generated from multiple promoter - gene inserts in Saccharomyces cerevisiae to identify two major sources of extrinsic variability. One unavoidable source arising from the coupling of gene expression with population dynamics leads to a ubiquitous lower limit for expression variability. A second source, which is modelled as originating from a common upstream transcription factor, exemplifies how regulatory networks can convert noise in upstream regulator expression into extrinsic noise at the output of a target gene(9). Our results highlight the importance of the interplay of gene regulatory networks with population heterogeneity for understanding the origins of cellular diversity.
引用
收藏
页码:861 / 864
页数:4
相关论文
共 24 条
[1]   Biochemical Network Stochastic Simulator (BioNetS): software for stochastic modeling of biochemical networks [J].
Adalsteinsson, D ;
McMillen, D ;
Elston, TC .
BMC BIOINFORMATICS, 2004, 5 (1)
[2]  
Arkin A, 1998, GENETICS, V149, P1633
[3]   Noise in eukaryotic gene expression [J].
Blake, WJ ;
Kærn, M ;
Cantor, CR ;
Collins, JJ .
NATURE, 2003, 422 (6932) :633-637
[4]   A computational analysis of whole-genome expression data reveals chromosomal domains of gene expression [J].
Cohen, BA ;
Mitra, RD ;
Hughes, JD ;
Church, GM .
NATURE GENETICS, 2000, 26 (02) :183-186
[5]   Modeling stochastic gene expression: Implications for haploinsufficiency [J].
Cook, DL ;
Gerber, LN ;
Tapscott, SJ .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1998, 95 (26) :15641-15646
[6]   Stochastic gene expression in a single cell [J].
Elowitz, MB ;
Levine, AJ ;
Siggia, ED ;
Swain, PS .
SCIENCE, 2002, 297 (5584) :1183-1186
[7]   EXACT STOCHASTIC SIMULATION OF COUPLED CHEMICAL-REACTIONS [J].
GILLESPIE, DT .
JOURNAL OF PHYSICAL CHEMISTRY, 1977, 81 (25) :2340-2361
[8]   Genetic networks controlling the initiation of sporulation and the development of genetic competence in Bacillus subtilis [J].
Grossman, AD .
ANNUAL REVIEW OF GENETICS, 1995, 29 :477-508
[9]   UNEQUAL DIVISION IN SACCHAROMYCES-CEREVISIAE AND ITS IMPLICATIONS FOR CONTROL OF CELL-DIVISION [J].
HARTWELL, LH ;
UNGER, MW .
JOURNAL OF CELL BIOLOGY, 1977, 75 (02) :422-435
[10]   Engineered gene circuits [J].
Hasty, J ;
McMillen, D ;
Collins, JJ .
NATURE, 2002, 420 (6912) :224-230