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Updated: Dec 31, 2025

Kinetic Measurement and Real Time Visualization of Somatic Reprogramming
Published on: July 30, 2016
The spatial binding model of the pioneer factor Oct4 with its target genes during cell reprogramming
Hanshuang Li1, Na Ta2, Chunshen Long1
1State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, College of Life Sciences, Inner Mongolia University, Hohhot 010070, China.
Pioneer factor Oct4 binding patterns during cell reprogramming were quantitatively modeled. Binding width significantly influences target gene expression, improving model accuracy for future research.
Area of Science:
- Stem cell biology
- Epigenetics
- Systems biology
Background:
- Pioneer transcription factors (TFs) are critical for cell reprogramming.
- Oct4 is a key pioneer factor with unique properties, necessitating a quantitative model for its binding patterns.
- Understanding Oct4's spatial binding is crucial for optimizing TF-mediated reprogramming efficiency.
Purpose of the Study:
- To develop a quantitative model describing Oct4's spatial binding patterns with its target genes during cell reprogramming.
- To identify key parameters governing Oct4 binding and their correlation with gene expression.
- To provide insights into the cooperative regulation of pioneer factor binding.
Main Methods:
- Analysis of dynamic Oct4-binding profiles during cell reprogramming.
- Quantitative representation of Oct4 binding using peak parameters (height, width, distance).
- Multivariate linear regression to establish a spatial binding model.
Main Results:
- Oct4 binding peaks primarily during intermediate reprogramming stages (days 7-15), favoring promoter regions.
- Significant chromosome bias observed, with higher enrichment on chromosomes 1-11.
- Binding width emerged as a critical factor in regulating target gene expression.
- The developed model, incorporating height and width (additive terms), achieved an 81.38% coefficient of determination.
Conclusions:
- Oct4 binding exhibits dynamic and spatially biased patterns during reprogramming.
- Quantitative parameters like binding width are essential for predicting gene expression changes.
- The established spatial binding model offers a novel framework for understanding pioneer factor regulation in cell reprogramming.
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