Quantification of Multicellular Organization, Junction Integrity, and Substrate Features in Collective Cell Migration

Area of Science:

• Cell Biology
• Biophysics
• Image Analysis

Background:

• Understanding collective cell migration requires quantitative analysis of cellular organization, cell-cell junctions, and substrate properties.
• Accurate spatial and temporal quantification is challenging due to difficulties in cell segmentation within migrating cell groups.

Purpose of the Study:

• To develop and present Matlab-based algorithms for quantitative analysis of multicellular organization, cell-cell junction integrity, and substrate features in 2D endothelial monolayers undergoing collective migration.
• To provide accessible, high-throughput tools for researchers studying collective cell migration.

Main Methods:

• Utilized confocal microscopy images of collectively migrating endothelial monolayers.
• Developed algorithms for quantifying migration distance, interface roughness, cell alignment, area, and morphology.
• Employed novel techniques including parametric curve formulation for front roughness, cell binning by distance, iterative morphological closings for boundary definition, beta-catenin localization for junction integrity, and fibronectin skeletonization for fiber analysis.

Main Results:

• Successfully quantified key features of multicellular organization, cell-cell junction integrity, and substrate properties.
• Demonstrated the utility of novel image analysis techniques for high-throughput data acquisition.
• Algorithms are accessible using common fluorescent markers and Matlab functions.

Conclusions:

• The presented Matlab algorithms offer a standardized and efficient method for quantifying critical features in collective cell migration.
• These tools facilitate high-throughput analysis and can help standardize feature quantification across different experimental setups and cell types.
• The algorithms contribute to a deeper understanding of the mechanisms underlying collective cell migration.