A mathematical finance approach to the stochastic and intermittent viscosity fluctuations in living cells
Here we report on the viscosity of eukaryotic living cells, as a function of time, and on the application of stochastic models to analyze its temporal fluctuations. The viscoelastic properties of NIH/3T3 fibroblast cells are investigated using an active microrheological technique, where the magnetic...
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| Veröffentlicht in: | Soft matter 2020-07, Vol.16 (25), p.5959-5969 |
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| creator | Bostoen, Claude L Berret, Jean-François |
| description | Here we report on the viscosity of eukaryotic living cells, as a function of time, and on the application of stochastic models to analyze its temporal fluctuations. The viscoelastic properties of NIH/3T3 fibroblast cells are investigated using an active microrheological technique, where the magnetic wires, embedded into cells, are being actuated remotely. The data reveal anomalous transient responses characterized by intermittent phases of slow and fast rotation, revealing significant fluctuations. The time dependent viscosity is analyzed from a time series perspective by computing the autocorrelation functions and the variograms, two functions used to describe stochastic processes in mathematical finance. The resulting analysis gives evidence of a sub-diffusive mean-reverting process characterized by an autoregressive coefficient lower than 1. It also shows the existence of specific cellular times in the ranges 1-10 s and 100-200 s, not previously disclosed. The shorter time is found to be related to the internal relaxation time of the cytoplasm. To our knowledge, this is the first time that similarities are established between the properties of time series describing the intracellular metabolism and the statistical results from a mathematical finance approach. The current approach could be exploited to reveal hidden features from biological complex systems or to determine new biomarkers of cellular metabolism.
Here we report on the viscosity of eukaryotic living cells, as a function of time, and on the application of stochastic models to analyze its temporal fluctuations. |
| doi_str_mv | 10.1039/c9sm02534k |
| format | Article |
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Here we report on the viscosity of eukaryotic living cells, as a function of time, and on the application of stochastic models to analyze its temporal fluctuations.</description><subject>Animals</subject><subject>Autocorrelation functions</subject><subject>Autoregressive processes</subject><subject>Biomarkers</subject><subject>Cells (biology)</subject><subject>Complex systems</subject><subject>Condensed Matter</subject><subject>Cytoplasm</subject><subject>Finance</subject><subject>Fluctuations</subject><subject>Magnetics</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Metabolism</subject><subject>Mice</subject><subject>Microscopy, Phase-Contrast</subject><subject>Models, Biological</subject><subject>NIH 3T3 Cells</subject><subject>Physics</subject><subject>Relaxation time</subject><subject>Rheology</subject><subject>Soft Condensed Matter</subject><subject>Stochastic models</subject><subject>Stochastic Processes</subject><subject>Time dependence</subject><subject>Time series</subject><subject>Transient response</subject><subject>Viscoelasticity</subject><subject>Viscosity</subject><issn>1744-683X</issn><issn>1744-6848</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc-LEzEcxYMo7rp68a5EvKhQ_ebHZCbHUtQVKx5U8BYyaWKzziTdSaaw_73f2rWCBy9JyPvweI9HyGMGrxkI_cbpMgJvhPx5h5yzVsqF6mR39_QW38_Ig1KuAEQnmbpPzgRvJOetPidxSUdbtx6P6OxAQ0w2OU_tbjdl67a0ZooyLTW7rS0IUZs2NKbqpzHW6lOl-1hcLrHe0DDMrs5olVNBhg5xH9MP6vwwlIfkXrBD8Y9u7wvy7d3br6vLxfrz-w-r5XrhZAt10UuQrhet2AQm2171PeM-QABvW9lw1kCvQGF8C1ivAasaG4ITWnvOpAZxQV4efbd2MLspjna6MdlGc7lcm8MfcAWd0mzPkH1xZLHs9exLNSN2wbQ2-TwXwyVDY9XAwfb5P-hVnqeETQ5Up7WGRiH16ki5KZcy-XBKwMAcxjIr_eXT77E-Ivz01nLuR785oX_WQeDJEZiKO6l_10b92f90s9sE8QuDxaQs</recordid><startdate>20200707</startdate><enddate>20200707</enddate><creator>Bostoen, Claude L</creator><creator>Berret, Jean-François</creator><general>Royal Society of Chemistry</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0001-5458-8653</orcidid></search><sort><creationdate>20200707</creationdate><title>A mathematical finance approach to the stochastic and intermittent viscosity fluctuations in living cells</title><author>Bostoen, Claude L ; 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The viscoelastic properties of NIH/3T3 fibroblast cells are investigated using an active microrheological technique, where the magnetic wires, embedded into cells, are being actuated remotely. The data reveal anomalous transient responses characterized by intermittent phases of slow and fast rotation, revealing significant fluctuations. The time dependent viscosity is analyzed from a time series perspective by computing the autocorrelation functions and the variograms, two functions used to describe stochastic processes in mathematical finance. The resulting analysis gives evidence of a sub-diffusive mean-reverting process characterized by an autoregressive coefficient lower than 1. It also shows the existence of specific cellular times in the ranges 1-10 s and 100-200 s, not previously disclosed. The shorter time is found to be related to the internal relaxation time of the cytoplasm. To our knowledge, this is the first time that similarities are established between the properties of time series describing the intracellular metabolism and the statistical results from a mathematical finance approach. The current approach could be exploited to reveal hidden features from biological complex systems or to determine new biomarkers of cellular metabolism.
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| subjects | Animals Autocorrelation functions Autoregressive processes Biomarkers Cells (biology) Complex systems Condensed Matter Cytoplasm Finance Fluctuations Magnetics Mathematical analysis Mathematical models Metabolism Mice Microscopy, Phase-Contrast Models, Biological NIH 3T3 Cells Physics Relaxation time Rheology Soft Condensed Matter Stochastic models Stochastic Processes Time dependence Time series Transient response Viscoelasticity Viscosity |
| title | A mathematical finance approach to the stochastic and intermittent viscosity fluctuations in living cells |
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