Temporal dose inversion properties of adaptive biomolecular circuits
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| Publicado en: | bioRxiv (Feb 11, 2025) |
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| Autor Principal: | |
| Outros autores: | , , , |
| Publicado: |
Cold Spring Harbor Laboratory Press
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| Acceso en liña: | Citation/Abstract Full text outside of ProQuest |
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| 001 | 3165538639 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2692-8205 | ||
| 024 | 7 | |a 10.1101/2025.02.10.636967 |2 doi | |
| 035 | |a 3165538639 | ||
| 045 | 0 | |b d20250211 | |
| 100 | 1 | |a Nakamura, Eiji | |
| 245 | 1 | |a Temporal dose inversion properties of adaptive biomolecular circuits | |
| 260 | |b Cold Spring Harbor Laboratory Press |c Feb 11, 2025 | ||
| 513 | |a Working Paper | ||
| 520 | 3 | |a Cells have the capacity to encode and decode information in the temporal features of molecular signals. Many pathways, for example, generate either sustained or pulsatile responses depending on the context, and such diverse temporal behaviors have a profound impact on cell fate. Here we focus on how molec- ular pathways can convert the temporal features of dynamic signals, in particular how they can convert transient signals into persistent downstream events and vice versa. We describe this type of behavior as temporal dose inversion, and we demonstrate that it can be achieved through adaptive molecular circuits. We consider motifs known as incoherent feedforward loop (IFFL) and negative feedback loop (NFL), and identify parametric conditions that enable temporal dose inversion. We next consider more complex versions of these circuits that could be realized using enzymatic signaling and gene regulatory networks, finding that both circuits can exhibit temporal dose inversion. Finally, we consider a general- ized IFFL topology, and we find that both the time delay in the inhibition pathway and the relative signal intensities of the activation and inhibition signals are key determinants for temporal dose inversion. Our investigation expands the potential use of adaptive circuits as signal processing units and contributes to our understanding of the role of adaptive circuits in nature.Competing Interest StatementThe authors have declared no competing interest.Footnotes* https://github.com/enaka74/IDR | |
| 653 | |a Signal processing | ||
| 653 | |a Cell fate | ||
| 653 | |a Temporal variations | ||
| 653 | |a Information processing | ||
| 653 | |a Circuits | ||
| 700 | 1 | |a Blanchini, Franco | |
| 700 | 1 | |a Giordano, Giulia | |
| 700 | 1 | |a Hoffmann, Alexander | |
| 700 | 1 | |a Franco, Elisa | |
| 773 | 0 | |t bioRxiv |g (Feb 11, 2025) | |
| 786 | 0 | |d ProQuest |t Biological Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3165538639/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u https://www.biorxiv.org/content/10.1101/2025.02.10.636967v1 |