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Canalizing kernel for cell fate determination.

Namhee KimJonghoon LeeJongwan KimYunseong KimKwang-Hyun Cho
Published in: Briefings in bioinformatics (2024)
The tendency for cell fate to be robust to most perturbations, yet sensitive to certain perturbations raises intriguing questions about the existence of a key path within the underlying molecular network that critically determines distinct cell fates. Reprogramming and trans-differentiation clearly show examples of cell fate change by regulating only a few or even a single molecular switch. However, it is still unknown how to identify such a switch, called a master regulator, and how cell fate is determined by its regulation. Here, we present CAESAR, a computational framework that can systematically identify master regulators and unravel the resulting canalizing kernel, a key substructure of interconnected feedbacks that is critical for cell fate determination. We demonstrate that CAESAR can successfully predict reprogramming factors for de-differentiation into mouse embryonic stem cells and trans-differentiation of hematopoietic stem cells, while unveiling the underlying essential mechanism through the canalizing kernel. CAESAR provides a system-level understanding of how complex molecular networks determine cell fates.
Keyphrases
  • cell fate
  • stem cells
  • cell therapy
  • embryonic stem cells
  • single cell
  • transcription factor
  • single molecule
  • solid phase extraction
  • high resolution