A predictive model of gene expression reveals the role of network motifs in the mating response of yeast.
A predictive model of gene expression reveals the role of network motifs in the mating response of yeast.
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DOI:
10.1126/scisignal.abb5235
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发表时间:
2021-02-16
影响因子:
7.3
通讯作者:
Errede B
中科院分区:
文献类型:
--
作者:
Pomeroy AE;Peña MI;Houser JR;Dixit G;Dohlman HG;Elston TC;Errede B
Cells use signaling pathways to receive and process information about their environment. These systems are nonlinear, relying on feedback and feedforward regulation to respond appropriately to changing environmental conditions. Mathematical models developed to describe signaling pathways often fail to show predictive power, because the models are not trained on data that probe the diverse time scales on which feedforward and feedback regulation operate. We addressed this limitation using microfluidics to expose cells to a broad range of dynamic environmental conditions. In particular, we focus on the well-characterized mating response pathway of S. cerevisiae (yeast). This pathway is activated by mating pheromone and initiates the transcriptional changes required for mating. Although much is known about the molecular components of the mating response pathway, less is known about how these components function as a dynamical system. Our experimental data revealed that pheromone-induced transcription persists following removal of pheromone and that long-term adaptation of the transcriptional response occurs when pheromone exposure is sustained. We developed a model of the regulatory network that captured both persistence and long-term adaptation of the mating response. We fit this model to experimental data using an evolutionary algorithm and used the parameterized model to predict scenarios for which it was not trained, including different temporal stimulus profiles and genetic perturbations to pathway components. Our model allowed us to establish the role of four regulatory motifs in coordinating pathway response to persistent and dynamic stimulation.
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影响因子:
64.5
作者:
ELION, EA;GRISAFI, PL;FINK, GR
通讯作者:
FINK, GR
影响因子:
8.8
作者:
Christiano R;Nagaraj N;Fröhlich F;Walther TC
通讯作者:
Walther TC
DOI:
10.1073/pnas.95.26.15400
发表时间:
1998-12-22
影响因子:
11.1
作者:
Bardwell, L;Cook, JG;Thorner, J
通讯作者:
Thorner, J
影响因子:
5.3
作者:
CHAN, RK;OTTE, CA
通讯作者:
OTTE, CA
影响因子:
3.3
作者:
ALANI, E;CAO, L;KLECKNER, N
通讯作者:
KLECKNER, N