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How Retroactivity Affects the Behavior of Incoherent Feedforward Loops

An incoherent feedforward loop (IFFL) is a network motif known for its ability to accelerate responses and generate pulses. It remains an open question to understand the behavior of IFFLs in contexts with high levels of retroactivity, where an upstream transcription factor binds to numerous downstre...

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Detalles Bibliográficos
Autores principales: Wang, Junmin, Belta, Calin, Isaacson, Samuel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711281/
https://www.ncbi.nlm.nih.gov/pubmed/33305173
http://dx.doi.org/10.1016/j.isci.2020.101779
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author Wang, Junmin
Belta, Calin
Isaacson, Samuel A.
author_facet Wang, Junmin
Belta, Calin
Isaacson, Samuel A.
author_sort Wang, Junmin
collection PubMed
description An incoherent feedforward loop (IFFL) is a network motif known for its ability to accelerate responses and generate pulses. It remains an open question to understand the behavior of IFFLs in contexts with high levels of retroactivity, where an upstream transcription factor binds to numerous downstream binding sites. Here we study the behavior of IFFLs by simulating and comparing ODE models with different levels of retroactivity. We find that increasing retroactivity in an IFFL can increase, decrease, or keep the network's response time and pulse amplitude constant. This suggests that increasing retroactivity, traditionally considered an impediment to designing robust synthetic systems, could be exploited to improve the performance of IFFLs. In contrast, we find that increasing retroactivity in a negative autoregulated circuit can only slow the response. The ability of an IFFL to flexibly handle retroactivity may have contributed to its significant abundance in both bacterial and eukaryotic regulatory networks.
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spelling pubmed-77112812020-12-09 How Retroactivity Affects the Behavior of Incoherent Feedforward Loops Wang, Junmin Belta, Calin Isaacson, Samuel A. iScience Article An incoherent feedforward loop (IFFL) is a network motif known for its ability to accelerate responses and generate pulses. It remains an open question to understand the behavior of IFFLs in contexts with high levels of retroactivity, where an upstream transcription factor binds to numerous downstream binding sites. Here we study the behavior of IFFLs by simulating and comparing ODE models with different levels of retroactivity. We find that increasing retroactivity in an IFFL can increase, decrease, or keep the network's response time and pulse amplitude constant. This suggests that increasing retroactivity, traditionally considered an impediment to designing robust synthetic systems, could be exploited to improve the performance of IFFLs. In contrast, we find that increasing retroactivity in a negative autoregulated circuit can only slow the response. The ability of an IFFL to flexibly handle retroactivity may have contributed to its significant abundance in both bacterial and eukaryotic regulatory networks. Elsevier 2020-11-07 /pmc/articles/PMC7711281/ /pubmed/33305173 http://dx.doi.org/10.1016/j.isci.2020.101779 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Wang, Junmin
Belta, Calin
Isaacson, Samuel A.
How Retroactivity Affects the Behavior of Incoherent Feedforward Loops
title How Retroactivity Affects the Behavior of Incoherent Feedforward Loops
title_full How Retroactivity Affects the Behavior of Incoherent Feedforward Loops
title_fullStr How Retroactivity Affects the Behavior of Incoherent Feedforward Loops
title_full_unstemmed How Retroactivity Affects the Behavior of Incoherent Feedforward Loops
title_short How Retroactivity Affects the Behavior of Incoherent Feedforward Loops
title_sort how retroactivity affects the behavior of incoherent feedforward loops
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711281/
https://www.ncbi.nlm.nih.gov/pubmed/33305173
http://dx.doi.org/10.1016/j.isci.2020.101779
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