Biomolecular mechanisms for signal differentiation
Cells can sense temporal changes of molecular signals, allowing them to predict environmental variations and modulate their behavior. This paper elucidates biomolecular mechanisms of time derivative computation, facilitating the design of reliable synthetic differentiator devices for a variety of ap...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Cell Press
2021
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| _version_ | 1797102322435751936 |
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| author | Alexis, E Schulte, CCM Cardelli, L Papachristodoulou, A |
| author_facet | Alexis, E Schulte, CCM Cardelli, L Papachristodoulou, A |
| author_sort | Alexis, E |
| collection | OXFORD |
| description | Cells can sense temporal changes of molecular signals, allowing them to predict environmental variations and modulate their behavior. This paper elucidates biomolecular mechanisms of time derivative computation, facilitating the design of reliable synthetic differentiator devices for a variety of applications, ultimately expanding our understanding of cell behavior. In particular, we describe and analyze three alternative biomolecular topologies that are able to work as signal differentiators to input signals around their nominal operation. We propose strategies to preserve their performance even in the presence of high-frequency input signal components which are detrimental to the performance of most differentiators. We find that the core of the proposed topologies appears in natural regulatory networks and we further discuss their biological relevance. The simple structure of our designs makes them promising tools for realizing derivative control action in synthetic biology. |
| first_indexed | 2024-03-07T06:04:20Z |
| format | Journal article |
| id | oxford-uuid:ed50989a-30fa-489b-b615-696672d4d55a |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T06:04:20Z |
| publishDate | 2021 |
| publisher | Cell Press |
| record_format | dspace |
| spelling | oxford-uuid:ed50989a-30fa-489b-b615-696672d4d55a2022-03-27T11:24:02ZBiomolecular mechanisms for signal differentiationJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:ed50989a-30fa-489b-b615-696672d4d55aEnglishSymplectic ElementsCell Press2021Alexis, ESchulte, CCMCardelli, LPapachristodoulou, ACells can sense temporal changes of molecular signals, allowing them to predict environmental variations and modulate their behavior. This paper elucidates biomolecular mechanisms of time derivative computation, facilitating the design of reliable synthetic differentiator devices for a variety of applications, ultimately expanding our understanding of cell behavior. In particular, we describe and analyze three alternative biomolecular topologies that are able to work as signal differentiators to input signals around their nominal operation. We propose strategies to preserve their performance even in the presence of high-frequency input signal components which are detrimental to the performance of most differentiators. We find that the core of the proposed topologies appears in natural regulatory networks and we further discuss their biological relevance. The simple structure of our designs makes them promising tools for realizing derivative control action in synthetic biology. |
| spellingShingle | Alexis, E Schulte, CCM Cardelli, L Papachristodoulou, A Biomolecular mechanisms for signal differentiation |
| title | Biomolecular mechanisms for signal differentiation |
| title_full | Biomolecular mechanisms for signal differentiation |
| title_fullStr | Biomolecular mechanisms for signal differentiation |
| title_full_unstemmed | Biomolecular mechanisms for signal differentiation |
| title_short | Biomolecular mechanisms for signal differentiation |
| title_sort | biomolecular mechanisms for signal differentiation |
| work_keys_str_mv | AT alexise biomolecularmechanismsforsignaldifferentiation AT schulteccm biomolecularmechanismsforsignaldifferentiation AT cardellil biomolecularmechanismsforsignaldifferentiation AT papachristodouloua biomolecularmechanismsforsignaldifferentiation |