Rodrigo Tarrega, G.; Poyatos, JF. (2016). Genetic redundancies enhance information transfer in noisy regulatory circuits. PLoS Computational Biology. 12(10). https://doi.org/10.1371/journal.pcbi.1005156
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/83827
Title:
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Genetic redundancies enhance information transfer in noisy regulatory circuits
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Author:
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Rodrigo Tarrega, Guillermo
Poyatos, Juan F.
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UPV Unit:
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Universitat Politècnica de València. Instituto Universitario Mixto de Biología Molecular y Celular de Plantas - Institut Universitari Mixt de Biologia Molecular i Cel·lular de Plantes
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Issued date:
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Abstract:
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[EN] Cellular decision making is based on regulatory circuits that associate signal thresholds to specific physiological actions. This transmission of information is subjected to molecular noise what can decrease its ...[+]
[EN] Cellular decision making is based on regulatory circuits that associate signal thresholds to specific physiological actions. This transmission of information is subjected to molecular noise what can decrease its fidelity. Here, we show instead how such intrinsic noise enhances information transfer in the presence of multiple circuit copies. The result is due to the contribution of noise to the generation of autonomous responses by each copy, which are altogether associated with a common decision. Moreover, factors that correlate the responses of the redundant units (extrinsic noise or regulatory cross-talk) contribute to reduce fidelity, while those that further uncouple them (heterogeneity within the copies) can lead to stronger information gain. Overall, our study emphasizes how the interplay of signal thresholding, redundancy, and noise influences the accuracy of cellular decision making. Understanding this interplay provides a basis to explain collective cell signaling mechanisms, and to engineer robust decisions with noisy genetic circuits.
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Subjects:
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Biochemical signaling networks
,
Stochastic resonance
,
Transcriptional regulation
,
Decision-making
,
Expression
,
Transmission
,
Cell
,
Heterogeneity
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Variability
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Robustness
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Copyrigths:
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Reconocimiento (by)
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Source:
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PLoS Computational Biology. (issn:
1553-734X
) (eissn:
1553-7358
)
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DOI:
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10.1371/journal.pcbi.1005156
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Publisher:
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Public Library of Science
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Publisher version:
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http://doi.org/10.1371/journal.pcbi.1005156
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Project ID:
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info:eu-repo/grantAgreement/MINECO//BFU2015-66894-P
/ES/MODELADO, DISEÑO DE NOVO E INGENIERIA DE INTERRUPTORES DE RNA QUE RESPONDEN A SEÑALES GENETICAS/
info:eu-repo/grantAgreement/GVA//GV%2F2016%2F079/
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Thanks:
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This work has been supported by BFU2015-66894-P (MINECO/FEDER) and GV/2016/079 (GVA) Grants. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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Type:
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Artículo
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