Cell Fate Decision as High-Dimensional Critical State Transition

Area of Science:

• Developmental Biology
• Systems Biology
• Computational Biology

Background:

• Multipotent progenitor cells must alter gene expression for differentiation.
• The stability of gene expression attractors presents a challenge to cell fate commitment.
• Mechanisms underlying the exit from progenitor cell attractors remain unclear.

Purpose of the Study:

• To investigate the destabilization of gene expression attractors during cell fate commitment.
• To identify early warning signals preceding critical state transitions in differentiating cells.
• To develop a quantitative index for predicting major shifts in high-dimensional systems.

Main Methods:

• Single-cell resolution analysis of gene expression in differentiating blood progenitor cells.
• Development of a quantitative index based on cell-cell and gene-gene correlations.
• Detection and analysis of 'rebellious cells' exhibiting opposite fate commitment.

Main Results:

• Cell commitment to erythroid or myeloid lineages is preceded by attractor state destabilization.
• A novel quantitative index predicts critical transitions by monitoring correlation changes.
• Early warning signals for tipping points can be detected in high-dimensional systems.

Conclusions:

• Destabilization of progenitor cell attractors is a prerequisite for lineage commitment.
• The developed quantitative index provides a theory-based approach for analyzing single-cell data.
• This method can predict impending developmental and disease-related shifts beyond current pattern recognition techniques.