Cytoskeleton-based forecasting of stem cell lineage fates

Area of Science:

• Cell Biology
• Biomaterials Science
• Stem Cell Biology

Background:

• Traditional cell shape analysis is insufficient for distinguishing stem cell lineages.
• Early cellular responses to stimuli are critical but often overlooked.
• Human mesenchymal stem cells (hMSCs) are a key model for lineage commitment studies.

Purpose of the Study:

• To develop a method for predicting stem cell lineage fate based on early cellular morphology.
• To analyze higher-order variations in cell shape and cytoskeletal organization.
• To assess substrate influence on stem cell lineage commitment.

Main Methods:

• Quantitative analysis of actin fluororeporter shapes, intensities, textures, and spatial distributions (morphometric descriptors).
• Dimensionality reduction of descriptors to identify distinct cell subpopulations.
• High-content imaging and single-cell modeling.

Main Results:

• Distinct subpopulations of hMSCs were identified within 24 hours based on cytoskeletal features.
• Early morphometric descriptors successfully predicted osteogenic lineage commitment on fibronectin-coated glass.
• The method forecasted substrate responsiveness and bone vs. non-bone predisposition within 24 hours on various materials.
• Substrate properties, like fibronectin presence, influenced the timing of lineage divergence.

Conclusions:

• High-order variations in cell shape and cytoskeletal organization forecast hMSC lineage fates.
• This high-content imaging approach provides a framework for understanding and manipulating stem cell behavior.
• The methodology enables screening of materials and environments for stem cell lineage modulation.