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Cell migration, the process by which cells move from one location to another, is essential for the proper development and viability of organisms throughout their life. When cells are not able to migrate properly to their ordained locations, various disorders may occur. For example, disruption in cell migration causes chronic inflammatory diseases such as arthritis.
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Migration is long-range, seasonal movement from one region or habitat to another. This common strategy, carried out by many different organisms around the world, is an adaptive response that typically corresponds to changes in an organism’s environment, like resource availability or climate. Migrations can involve huge groups of thousands of animals as well as single individuals traveling alone and can range from thousands of kilometers to just a few hundred meters.
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Cell Migration01:19

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Cell migration is a process by which the cells move from one location to another, playing an essential role in embryological development, repair and regeneration, immune response, and metastasis. Cells migrate in response to chemical or mechanical signals generated by specific organs or tissues. The overall mechanism includes three steps - polarization, protrusion, and release. Polarization involves the formation of a distinct cell front and rear, which determines the direction of movement.
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A migrating cell changes its shape during the cyclic events of attachment and detachment from the substratum and repositions the cell organelles correspondingly. These complex events are orchestrated by the dynamic cytoskeletal network comprising actin filaments, intermediate filaments, and microtubules. Cytoskeletal crosstalk — the direct and indirect communication between the different components — is crucial for this coordination. Direct communication involves various linker...
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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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Un modelo universal para los patrones de movilidad y migración.

Filippo Simini1, Marta C González, Amos Maritan

  • 1Center for Complex Network Research and Department of Physics, Biology and Computer Science, Northeastern University, Boston, Massachusetts 02115, USA.

Nature
|February 28, 2012
PubMed
Resumen
Este resumen es generado por máquina.

Un nuevo modelo de radiación, basado en decisiones de movilidad local, predice con precisión el movimiento de la población y los flujos comerciales. Este enfoque libre de parámetros mejora las predicciones sin necesidad de datos de movilidad previos, superando la ley de gravedad tradicional.

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Área de la Ciencia:

  • Física Física es la física de las cosas.
  • Ciencias Sociales Ciencias Sociales.
  • Las ciencias sociales computacionales.

Sus antecedentes:

  • La ley de la gravedad, establecida en 1946, es ampliamente utilizada para predecir el movimiento de la población, el comercio y la comunicación.
  • Sin embargo, la ley de la gravedad tiene parámetros ajustables e inconsistencias analíticas.
  • Los modelos existentes a menudo requieren extensos datos regionales.

Objetivo del estudio:

  • Introducir un nuevo modelo estocástico libre de parámetros para predecir la movilidad y los patrones de transporte.
  • Para derivar analíticamente los flujos de desplazamiento y movilidad utilizando solo datos de distribución de la población.
  • Mejorar la precisión predictiva de los fenómenos influenciados por la movilidad.

Principales métodos:

  • Desarrolló un proceso estocástico que captura las decisiones de movilidad local.
  • Flujos de desplazamiento y movilidad derivados analíticamente.
  • Validación del modelo con respecto a los patrones de movilidad y transporte observados en varias escalas.

Principales resultados:

  • El nuevo modelo de radiación predice con precisión los patrones de movilidad, incluidos los volúmenes de migración y comunicación.
  • El modelo solo requiere la distribución de la población como entrada, eliminando la necesidad de parámetros regionales.
  • Se logró un buen acuerdo con los datos de movilidad y transporte observados.

Conclusiones:

  • El modelo de radiación libre de parámetros ofrece una mejora significativa sobre los métodos tradicionales como la ley de la gravedad.
  • Este modelo se puede aplicar para predecir la movilidad en regiones con escasez de datos.
  • Mejora la precisión predictiva de diversos fenómenos de movilidad y transporte.