Related Experiment Video
Updated: May 17, 2025
11:32
Identification of Transcription Factor Regulators using Medium-Throughput Screening of Arrayed Libraries and a Dual-Luciferase-Based Reporter
Published on: March 27, 2020
6.7K
In silico screening system based on a transcription factors regulatory network only using transcriptomic data.
Tadaaki Nakajima1,2, Kentaro Harada2, Yasuhiro Tomooka2
1Department of Science, Yokohama City University, Yokohama, Japan.
Plos One
|April 7, 2025
Summary
We developed in silico screening using TFs regulatory network analysis (ISNA) to identify core transcription factors (TFs) in cell differentiation. ISNA successfully predicted key TFs and identified HMGA2 as a novel core TF in uterine epithelium.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Identifying core transcription factors (TFs) is crucial for understanding cell differentiation.
- Current methods often require extensive experimental validation.
Purpose of the Study:
- To develop a computational method for identifying core TFs involved in differentiation using gene expression data.
- To validate the method's efficacy in predicting known differentiation pathways and discovering novel TFs.
Main Methods:
- Developed in silico screening using TFs regulatory network analysis (ISNA).
- ISNA involves estimating promoter regions, constructing TF regulatory networks (TRNs) from sequence data, and identifying core TFs via dissociation constants (Kd).
Main Results:
- ISNA accurately predicted core TFs in endothelial-to-mesenchymal transition and embryonic stem cell differentiation.
- Identified HMGA2 as a novel core TF in uterine epithelium, regulating proliferation in response to estrogen.
Conclusions:
- ISNA is a powerful tool for identifying core TFs from transcriptomic data.
- This method offers a high-throughput approach to uncover regulatory mechanisms in cell differentiation and disease.
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