Inference of Transcriptional Network for Pluripotency in Mouse Embryonic Stem Cells

3rd International Conference on Mathematical Modeling in Physical Sciences

物理学;数学

Aburatani, S.^1

Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology, AIST Tokyo Waterfront Bio-IT Research Building, 2-4-7 Aomi, Koto-ku, Tokyo

135-0064, Japan^1

关键词: Cell reprogramming;    Embryonic stem cells;    Expression profile;    Mouse embryonic stem cells;    Regulatory mechanism;    Regulatory relationships;    Structural equation modeling;    Transcriptional networks;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/574/1/012138/pdf
DOI  :  10.1088/1742-6596/574/1/012138

来源: IOP

【 摘 要 】

In embryonic stem cells, various transcription factors (TFs) maintain pluripotency. To gain insights into the regulatory system controlling pluripotency, I inferred the regulatory relationships between the TFs expressed in ES cells. In this study, I applied a method based on structural equation modeling (SEM), combined with factor analysis, to 649 expression profiles of 19 TF genes measured in mouse Embryonic Stem Cells (ESCs). The factor analysis identified 19 TF genes that were regulated by several unmeasured factors. Since the known cell reprogramming TF genes (Pou5f1, Sox2 and Nanog) are regulated by different factors, each estimated factor is considered to be an input for signal transduction to control pluripotency in mouse ESCs. In the inferred network model, TF proteins were also arranged as unmeasured factors that control other TFs. The interpretation of the inferred network model revealed the regulatory mechanism for controlling pluripotency in ES cells.