Time-Lapse Super-Resolution Imaging and Optical Manipulation of Growth Cones in Elongating Axons and Migrating...

Area of Science:

• Neuroscience
• Cell Biology
• Developmental Biology

Background:

• Growth cones guide axonal growth in differentiating neurons.
• Migrating neurons possess growth cone-like structures (GCLS) of unknown equivalence.
• Understanding GCLS is crucial for neuronal development and regeneration.

Purpose of the Study:

• To develop and validate a novel methodology for studying growth cone morphology and dynamics.
• To investigate the functional equivalence of growth cone-like structures in migrating neurons.
• To elucidate the spatiotemporal regulation of growth cones in neuronal migration.

Main Methods:

• Time-lapse super-resolution microscopy of 3D cultured neurons (cortical and V-SVZ-derived).
• Utilized fluorescent protein-conjugated cytoskeletal probes and photoswitchable inhibitors for optical manipulation.
• Employed machine learning for automated segmentation of growth cone morphology.

Main Results:

• Detailed visualization of growth cone morphology and cytoskeletal dynamics in both elongating axons and migrating neurons.
• Demonstrated the functional significance of growth cones in neuronal migration through optical manipulation.
• Established a method for distinguishing and analyzing GCLS in migrating neurons.

Conclusions:

• The developed protocol offers a cutting-edge approach to study growth cones in neuroscience.
• The findings provide insights into the role of GCLS in neuronal migration, suggesting functional equivalence to axonal growth cones.
• This methodology is adaptable for diverse cell biology and imaging applications in developmental and regenerative neuroscience.