Time-integrated BMP signaling determines fate in a stem cell model for early human development

Area of Science:

• Developmental Biology
• Stem Cell Biology
• Cell Signaling

Background:

• Understanding how paracrine signals guide cell fate decisions during human development is crucial but poorly understood.
• Existing methods lack the capacity to track individual cell signaling histories and link them to subsequent cell fates.

Purpose of the Study:

• To develop and apply an automated tracking method for analyzing signaling histories and cell fate in human pluripotent stem cells (hPSCs).
• To elucidate the quantitative relationship between Bone Morphogenetic Protein (BMP) signaling dynamics and cell fate determination in hPSCs.

Main Methods:

• Automated tracking of individual hPSCs to record signaling exposure over time.
• Unbiased statistical analysis to correlate signaling history with cell fate outcomes.
• Development of an integral model to quantify the combined effect of signaling level and duration.

Main Results:

• BMP signaling history strongly correlates with cell fate decisions in individual hPSCs.
• The duration of BMP signaling, rather than the peak level, is a more significant determinant of cell fate.
• Both signaling level and duration are interchangeable and contribute to cell fate through their time integral.
• The integral model accurately predicts cell fate patterns in a human embryonic stem cell patterning model and responses to signaling perturbations.

Conclusions:

• Cell fate decisions in hPSCs are governed by the integrated BMP signaling history.
• SOX2 acts as a key molecular integrator of BMP signaling.
• This quantitative understanding of signaling integration provides insights into human embryonic development and stem cell differentiation.