A Graphical User Interface for Software-assisted Tracking of Protein Concentration in Dynamic Cellular Protrusions

Area of Science:

• Cell Biology
• Biophysics
• Microscopy

Background:

• Filopodia are crucial cellular protrusions involved in cell migration and communication.
• Understanding the spatiotemporal protein activity within filopodia is essential for deciphering their dynamic functions.
• Existing methods for analyzing filopodia dynamics and protein concentration are limited.

Purpose of the Study:

• To present a detailed protocol for analyzing protein dynamics in filopodia.
• To introduce a semi-automated tracking algorithm for accurate measurement of protein concentration and protrusion dynamics.
• To provide a comprehensive guide for cell handling, image acquisition, and data analysis.

Main Methods:

• Development of a semi-automated tracking algorithm adaptable to filopodial shape changes.
• Optimization of cell handling and image acquisition for filopodia analysis.
• Detailed software analysis protocol with troubleshooting guidelines and feature instructions.

Main Results:

• The protocol enables parallel analysis of protrusion dynamics and relative protein concentration along the entire filopodia.
• The developed algorithm accurately quantifies protein function within dynamic filopodial structures.
• A comparison with existing filopodia quantification software is provided.

Conclusions:

• The presented protocol offers a robust framework for accurate analysis of protein dynamics in filopodial protrusions.
• This method facilitates a deeper understanding of the signaling mechanisms governing filopodia initiation, elongation, and retraction.
• The developed image analysis software enhances the study of cell migration and communication.