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Related Experiment Video

Updated: Sep 13, 2025

Prediction and Validation of Gene Regulatory Elements Activated During Retinoic Acid Induced Embryonic Stem Cell Differentiation
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E3RC: A step-by-step computational protocol for exploring enhancer RNA expression and regulation using conventional

Hua Yu1, Yunjie Liu2, Zhouming Zhang3

  • 1The First Affiliated Hospital, School of Basic Medical Sciences and Institute of Biomedical Innovation, Jiangxi Medical College, Nanchang University, Nanchang 330031, China; Jiangxi Provincial Key Laboratory of Hematological Diseases, Department of Hematology, Nanchang University, Nanchang 330031, China; Jiangxi Provincial Key Laboratory of Tumor Biology, Nanchang University, Nanchang 330031, China.

STAR Protocols
|July 27, 2025
PubMed
Summary
This summary is machine-generated.

A new computational framework, E3RC, enables the exploration of enhancer RNA (eRNA) expression and regulation from RNA sequencing data. This method aids in identifying eRNAs and their developmental changes in mouse embryos.

Keywords:
BioinformaticsRNAseqSequence analysis

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Area of Science:

  • Genomics
  • Developmental Biology
  • Computational Biology

Background:

  • Enhancer RNAs (eRNAs) play crucial roles in gene regulation.
  • Analyzing eRNA expression and regulation requires specialized computational tools.
  • Conventional RNA sequencing (RNA-seq) data can be leveraged to study eRNAs.

Purpose of the Study:

  • To present E3RC, a computational framework for analyzing enhancer RNA (eRNA) expression and regulation.
  • To provide step-by-step guidelines for identifying eRNAs and their expression dynamics.
  • To characterize eRNA expressional changes during mouse preimplantation embryonic development.

Main Methods:

  • Development of the E3RC computational framework.
  • Application of E3RC to analyze public RNA sequencing data.
  • Identification and characterization of eRNAs in mouse preimplantation embryos.

Main Results:

  • Successful identification of eRNAs using the E3RC framework.
  • Characterization of eRNA expression patterns across different developmental stages.
  • Insights into the transcriptional regulation mediated by eRNAs during embryogenesis.

Conclusions:

  • The E3RC framework offers a robust method for eRNA analysis from RNA-seq data.
  • This approach facilitates the study of eRNA functions in developmental processes.
  • The findings provide a foundation for further research into eRNA-mediated gene regulation.