Identifying diffusive motions in single-particle trajectories on the plasma membrane via fractional time-series models
In this paper we show that an autoregressive fractionally integrated moving average time-series model can identify two types of motion of membrane proteins on the surface of mammalian cells. Specifically we analyze the motion of the voltage-gated sodium channel Nav1.6 and beta-2 adrenergic receptors. We find that the autoregressive (AR) part models well the confined dynamics whereas the fractionally integrated moving average (FIMA) model describes the nonconfined periods of the trajectories. Since the Ornstein-Uhlenbeck process is a continuous counterpart of the AR model, we are also able to calculate its physical parameters and show their biological relevance. The fitted FIMA and AR parameters show marked differences in the dynamics of the two studied molecules.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2019 |
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| Erschienen: |
2019 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:99 |
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| Enthalten in: |
Physical review. E - 99(2019), 1-1 vom: 01. Jan., Seite 012101 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Burnecki, Krzysztof [VerfasserIn] |
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| Links: |
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| Themen: |
Journal Article |
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| Anmerkungen: |
Date Completed 04.03.2019 Date Revised 07.02.2023 published: Print Citation Status MEDLINE |
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| doi: |
10.1103/PhysRevE.99.012101 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM294055320 |
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| 245 | 1 | 0 | |a Identifying diffusive motions in single-particle trajectories on the plasma membrane via fractional time-series models |
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| 500 | |a Date Revised 07.02.2023 | ||
| 500 | |a published: Print | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a In this paper we show that an autoregressive fractionally integrated moving average time-series model can identify two types of motion of membrane proteins on the surface of mammalian cells. Specifically we analyze the motion of the voltage-gated sodium channel Nav1.6 and beta-2 adrenergic receptors. We find that the autoregressive (AR) part models well the confined dynamics whereas the fractionally integrated moving average (FIMA) model describes the nonconfined periods of the trajectories. Since the Ornstein-Uhlenbeck process is a continuous counterpart of the AR model, we are also able to calculate its physical parameters and show their biological relevance. The fitted FIMA and AR parameters show marked differences in the dynamics of the two studied molecules | ||
| 650 | 4 | |a Journal Article | |
| 650 | 7 | |a NAV1.6 Voltage-Gated Sodium Channel |2 NLM | |
| 650 | 7 | |a Receptors, Adrenergic, beta-2 |2 NLM | |
| 700 | 1 | |a Sikora, Grzegorz |e verfasserin |4 aut | |
| 700 | 1 | |a Weron, Aleksander |e verfasserin |4 aut | |
| 700 | 1 | |a Tamkun, Michael M |e verfasserin |4 aut | |
| 700 | 1 | |a Krapf, Diego |e verfasserin |4 aut | |
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