Dynamics of cell-type transition mediated by epigenetic modifications

Area of Science:

• Developmental Biology
• Stem Cell Biology
• Computational Biology

Background:

• Tissue homeostasis relies on regulated stem cell differentiation.
• The Waddington landscape model describes cell fate determination.
• Mechanisms balancing stem cell self-renewal and differentiation are not fully understood.

Purpose of the Study:

• To investigate the role of random epigenetic state inheritance in stem cell differentiation.
• To develop a hybrid computational model integrating gene regulation, epigenetics, and regeneration.
• To explore epigenetic modifications and transcription factor influences on cell reprogramming.

Main Methods:

• Developed a hybrid computational model encompassing multi-scale dynamics.
• Integrated gene regulatory networks, epigenetic state inheritance, and cell regeneration.
• Performed model simulations to observe differentiation, dedifferentiation, and transdifferentiation dynamics.

Main Results:

• Random epigenetic inheritance spontaneously induces cell differentiation, dedifferentiation, and transdifferentiation.
• Interfering with epigenetic modifications alters dedifferentiation and transdifferentiation probabilities.
• Introducing additional transcription factors impacts cell reprogramming dynamics.

Conclusions:

• Random epigenetic state inheritance is a key mechanism in stem cell differentiation and reprogramming.
• The computational model provides insights into cell fate plasticity.
• This work supports advancements in regenerative medicine through understanding cell reprogramming.