Negative autoregulation linearizes the dose-response and suppresses the heterogeneity of gene expression

被引:239
|
作者
Nevozhay, Dmitry [1 ]
Adams, Rhys M. [1 ]
Murphy, Kevin F. [2 ,3 ]
Josic, Kresimir [4 ]
Balazsi, Gabor [1 ]
机构
[1] Univ Texas MD Anderson Canc Ctr, Dept Syst Biol, Houston, TX 77054 USA
[2] Boston Univ, Dept Biomed Engn, Ctr BioDynam, Boston, MA 02215 USA
[3] Boston Univ, Ctr Adv Biotechnol, Boston, MA 02215 USA
[4] Univ Houston, Dept Math, Houston, TX 77204 USA
基金
美国国家科学基金会;
关键词
gene expression noise; gene networks; linearizer; negative feedback; synthetic biology; TRANSCRIPTIONAL REGULATION; INTRINSIC NOISE; CELL-FATE; NETWORKS; STOCHASTICITY; CONSEQUENCES; DESIGN;
D O I
10.1073/pnas.0809901106
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
Although several recent studies have focused on gene autoregulation, the effects of negative feedback (NF) on gene expression are not fully understood. our purpose here was to determine how the strength of NF regulation affects the characteristics of gene expression in yeast cells harboring chromosomally integrated transcriptional cascades that consist of the yEGFP reporter controlled by (I) the constitutively expressed tetracycline repressor TetR or (it) TetR repressing its own expression. Reporter gene expression in the cascade without feedback showed a steep (sigmoidal) dose-response and a wide, nearly bimodal yEGFP distribution, giving rise to a noise peak at intermediate levels of induction. We developed computational models that reproduced the steep dose-response and the noise peak and predicted that negative autoregulation changes reporter expression from bimodal to unimodal and transforms the dose-response from sigmoidal to linear. Prompted by these predictions, we constructed a "linearizer" circuit by adding TetR autoregulation to our original cascade and observed a massive (7-fold) reduction of noise at intermediate induction and linearization of dose-response before saturation. A simple mathematical argument explained these findings and indicated that linearization is highly robust to parameter variations. These findings have important implications for gene expression control in eukaryotic cells, including the design of synthetic expression systems.
引用
收藏
页码:5123 / 5128
页数:6
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