Decoding complex transport patterns in flow-induced autologous chemotaxis of multicellular systems

Area of Science:

• Cell Biology
• Biophysics
• Computational Biology

Background:

• Cell migration is crucial for cancer metastasis and embryonic development.
• Autologous chemotaxis, where cells follow their own secreted chemoattractants, is a key migration mechanism.
• Interstitial fluid flow significantly influences cell migration, but its effect on collective autologous chemotaxis is poorly understood.

Purpose of the Study:

• To investigate the effectiveness of flow-induced autologous chemotaxis in multicellular systems.
• To analyze the impact of interstitial fluid flow and chemoattractant transport dynamics on collective cell migration.
• To resolve inconsistencies in the literature regarding collective cell chemotaxis under flow conditions.

Main Methods:

• Development of a high-fidelity computational model.
• Simulation of multicellular systems undergoing autologous chemotaxis.
• Analysis of chemoattractant transport and interstitial fluid flow patterns in the extracellular space.

Main Results:

• Complex transport dynamics of chemoattractants and fluid flow patterns are essential for understanding cell migration.
• Flow-induced autologous chemotaxis is effective for individual cells.
• Cell-cell interactions in multicellular systems make autologous chemotaxis an inefficient collective migration mechanism.

Conclusions:

• Collective autologous chemotaxis is inefficient in multicellular systems due to cell-cell interactions.
• Interstitial fluid flow modulates cell migration, but collective behavior is hindered.
• Findings provide new insights into the role of autologous chemotaxis in the tumor microenvironment.