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Incoherent feed-forward regulatory logic underpinning glucocorticoid receptor action.

ABSTRACT: The complexity and specificity of metazoan transcription are determined by combinatorial control of the composition and activity of regulatory complexes. To investigate the basis of this specificity, we focused on the glucocorticoid receptor (GR), a single regulatory factor that integrates multiple signals to give rise to many distinct patterns of expression. We measured the expression of a set of genes, each directly GR-regulated, but by different mechanisms in two cell lines. We varied ligand (dose, chemistry, and duration of treatment), GR (expression level and functionality), and a non-GR regulatory factor that commonly interacts with GR. Our study revealed distinct expression patterns within this set of genes, but all could be modeled by an incoherent feed-forward regulatory logic. Cellular signals, operating on GR and other factors within regulatory complexes, may define and modulate the kinetics and strength of the activating or inhibitory paths of the regulatory logic. Thus, characterizing systems behavior by perturbing single or multiple signals can reveal general principles of regulation, providing an approach to the dissection and deconvolution of combinatorial control.

SUBMITTER: Chen SH

PROVIDER: S-EPMC3562826 | biostudies-literature | 2013 Jan

REPOSITORIES: biostudies-literature

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Incoherent feed-forward regulatory logic underpinning glucocorticoid receptor action.

Chen Sheng-Hong SH Masuno Kiriko K Cooper Samantha B SB Yamamoto Keith R KR

Proceedings of the National Academy of Sciences of the United States of America 20130110 5

The complexity and specificity of metazoan transcription are determined by combinatorial control of the composition and activity of regulatory complexes. To investigate the basis of this specificity, we focused on the glucocorticoid receptor (GR), a single regulatory factor that integrates multiple signals to give rise to many distinct patterns of expression. We measured the expression of a set of genes, each directly GR-regulated, but by different mechanisms in two cell lines. We varied ligand ...[more]

PMID: 23307810

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Project description:RNA-based regulators are promising tools for building synthetic biological systems that provide a powerful platform for achieving a complex regulation of transcription and translation. Recently, de novo-designed synthetic RNA regulators, such as the small transcriptional activating RNA (STAR), toehold switch (THS), and three-way junction (3WJ) repressor, have been utilized to construct RNA-based synthetic gene circuits in living cells. In this work, we utilized these regulators to construct type 1 incoherent feed-forward loop (IFFL) circuits in vivo and explored their dynamic behaviors. A combination of a STAR and 3WJ repressor was used to construct an RNA-only IFFL circuit. However, due to the fast kinetics of RNA-RNA interactions, there was no significant timescale difference between the direct activation and the indirect inhibition, that no pulse was observed in the experiments. These findings were confirmed with mechanistic modeling and simulation results for a wider range of conditions. To increase delay in the inhibition pathway, we introduced a protein synthesis process to the circuit and designed an RNA-protein hybrid IFFL circuit using THS and TetR protein. Simulation results indicated that pulse generation could be achieved with this RNA-protein hybrid model, and this was further verified with experimental realization in E. coli. Our findings demonstrate that while RNA-based regulators excel in speed as compared to protein-based regulators, the fast reaction kinetics of RNA-based regulators could also undermine the functionality of a circuit (e.g., lack of significant timescale difference). The agreement between experiments and simulations suggests that the mechanistic modeling can help debug issues and validate the hypothesis in designing a new circuit. Moreover, the applicability of the kinetic parameters extracted from the RNA-only circuit to the RNA-protein hybrid circuit also indicates the modularity of RNA-based regulators when used in a different context. We anticipate the findings of this work to guide the future design of gene circuits that rely heavily on the dynamics of RNA-based regulators, in terms of both modeling and experimental realization.

Dataset Information

Incoherent feed-forward regulatory logic underpinning glucocorticoid receptor action.

Publications

Incoherent feed-forward regulatory logic underpinning glucocorticoid receptor action.

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