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Molecular Signaling Network Motifs Provide a Mechanistic Basis for Cellular Threshold Responses

Background: Increasingly, there is a move toward using in vitro toxicity testing to assess human health risk due to chemical exposure. As with in vivo toxicity testing, an important question for in vitro results is whether there are thresholds for adverse cellular responses. Empirical evaluations ma...

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Detalles Bibliográficos
Autores principales: Zhang, Qiang, Bhattacharya, Sudin, Conolly, Rory B., Clewell, Harvey J., Kaminski, Norbert E., Andersen, Melvin E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: NLM-Export 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4256703/
https://www.ncbi.nlm.nih.gov/pubmed/25117432
http://dx.doi.org/10.1289/ehp.1408244
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author Zhang, Qiang
Bhattacharya, Sudin
Conolly, Rory B.
Clewell, Harvey J.
Kaminski, Norbert E.
Andersen, Melvin E.
author_facet Zhang, Qiang
Bhattacharya, Sudin
Conolly, Rory B.
Clewell, Harvey J.
Kaminski, Norbert E.
Andersen, Melvin E.
author_sort Zhang, Qiang
collection PubMed
description Background: Increasingly, there is a move toward using in vitro toxicity testing to assess human health risk due to chemical exposure. As with in vivo toxicity testing, an important question for in vitro results is whether there are thresholds for adverse cellular responses. Empirical evaluations may show consistency with thresholds, but the main evidence has to come from mechanistic considerations. Objectives: Cellular response behaviors depend on the molecular pathway and circuitry in the cell and the manner in which chemicals perturb these circuits. Understanding circuit structures that are inherently capable of resisting small perturbations and producing threshold responses is an important step towards mechanistically interpreting in vitro testing data. Methods: Here we have examined dose–response characteristics for several biochemical network motifs. These network motifs are basic building blocks of molecular circuits underpinning a variety of cellular functions, including adaptation, homeostasis, proliferation, differentiation, and apoptosis. For each motif, we present biological examples and models to illustrate how thresholds arise from specific network structures. Discussion and Conclusion: Integral feedback, feedforward, and transcritical bifurcation motifs can generate thresholds. Other motifs (e.g., proportional feedback and ultrasensitivity)produce responses where the slope in the low-dose region is small and stays close to the baseline. Feedforward control may lead to nonmonotonic or hormetic responses. We conclude that network motifs provide a basis for understanding thresholds for cellular responses. Computational pathway modeling of these motifs and their combinations occurring in molecular signaling networks will be a key element in new risk assessment approaches based on in vitro cellular assays. Citation: Zhang Q, Bhattacharya S, Conolly RB, Clewell HJ III, Kaminski NE, Andersen ME. 2014. Molecular signaling network motifs provide a mechanistic basis for cellular threshold responses. Environ Health Perspect 122:1261–1270; http://dx.doi.org/10.1289/ehp.1408244
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spelling pubmed-42567032014-12-18 Molecular Signaling Network Motifs Provide a Mechanistic Basis for Cellular Threshold Responses Zhang, Qiang Bhattacharya, Sudin Conolly, Rory B. Clewell, Harvey J. Kaminski, Norbert E. Andersen, Melvin E. Environ Health Perspect Review Background: Increasingly, there is a move toward using in vitro toxicity testing to assess human health risk due to chemical exposure. As with in vivo toxicity testing, an important question for in vitro results is whether there are thresholds for adverse cellular responses. Empirical evaluations may show consistency with thresholds, but the main evidence has to come from mechanistic considerations. Objectives: Cellular response behaviors depend on the molecular pathway and circuitry in the cell and the manner in which chemicals perturb these circuits. Understanding circuit structures that are inherently capable of resisting small perturbations and producing threshold responses is an important step towards mechanistically interpreting in vitro testing data. Methods: Here we have examined dose–response characteristics for several biochemical network motifs. These network motifs are basic building blocks of molecular circuits underpinning a variety of cellular functions, including adaptation, homeostasis, proliferation, differentiation, and apoptosis. For each motif, we present biological examples and models to illustrate how thresholds arise from specific network structures. Discussion and Conclusion: Integral feedback, feedforward, and transcritical bifurcation motifs can generate thresholds. Other motifs (e.g., proportional feedback and ultrasensitivity)produce responses where the slope in the low-dose region is small and stays close to the baseline. Feedforward control may lead to nonmonotonic or hormetic responses. We conclude that network motifs provide a basis for understanding thresholds for cellular responses. Computational pathway modeling of these motifs and their combinations occurring in molecular signaling networks will be a key element in new risk assessment approaches based on in vitro cellular assays. Citation: Zhang Q, Bhattacharya S, Conolly RB, Clewell HJ III, Kaminski NE, Andersen ME. 2014. Molecular signaling network motifs provide a mechanistic basis for cellular threshold responses. Environ Health Perspect 122:1261–1270; http://dx.doi.org/10.1289/ehp.1408244 NLM-Export 2014-08-12 2014-12 /pmc/articles/PMC4256703/ /pubmed/25117432 http://dx.doi.org/10.1289/ehp.1408244 Text en http://creativecommons.org/publicdomain/mark/1.0/ Publication of EHP lies in the public domain and is therefore without copyright. All text from EHP may be reprinted freely. Use of materials published in EHP should be acknowledged (for example, “Reproduced with permission from Environmental Health Perspectives”); pertinent reference information should be provided for the article from which the material was reproduced. Articles from EHP, especially the News section, may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright.
spellingShingle Review
Zhang, Qiang
Bhattacharya, Sudin
Conolly, Rory B.
Clewell, Harvey J.
Kaminski, Norbert E.
Andersen, Melvin E.
Molecular Signaling Network Motifs Provide a Mechanistic Basis for Cellular Threshold Responses
title Molecular Signaling Network Motifs Provide a Mechanistic Basis for Cellular Threshold Responses
title_full Molecular Signaling Network Motifs Provide a Mechanistic Basis for Cellular Threshold Responses
title_fullStr Molecular Signaling Network Motifs Provide a Mechanistic Basis for Cellular Threshold Responses
title_full_unstemmed Molecular Signaling Network Motifs Provide a Mechanistic Basis for Cellular Threshold Responses
title_short Molecular Signaling Network Motifs Provide a Mechanistic Basis for Cellular Threshold Responses
title_sort molecular signaling network motifs provide a mechanistic basis for cellular threshold responses
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4256703/
https://www.ncbi.nlm.nih.gov/pubmed/25117432
http://dx.doi.org/10.1289/ehp.1408244
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