E3RC: A step-by-step computational protocol for exploring enhancer RNA expression and regulation using conventional RNA-seq data

Summary: Here, we present a computational framework, E3RC, for exploring enhancer RNA (eRNA) expression and regulation using conventional RNA sequencing (RNA-seq) data. Using a public dataset as an example, we describe step-by-step guidelines for identifying eRNAs and characterizing their expression...

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Main Authors: Hua Yu, Yunjie Liu, Zhouming Zhang, Guanglei Xie, Jingyu Liu, Yijia Liu, Siyue He, Zhiwei Peng, Lu Lu, Fei Li, Xi Wang
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:STAR Protocols
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Online Access:http://www.sciencedirect.com/science/article/pii/S2666166725003958
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author Hua Yu
Yunjie Liu
Zhouming Zhang
Guanglei Xie
Jingyu Liu
Yijia Liu
Siyue He
Zhiwei Peng
Lu Lu
Fei Li
Xi Wang
author_facet Hua Yu
Yunjie Liu
Zhouming Zhang
Guanglei Xie
Jingyu Liu
Yijia Liu
Siyue He
Zhiwei Peng
Lu Lu
Fei Li
Xi Wang
author_sort Hua Yu
collection DOAJ
description Summary: Here, we present a computational framework, E3RC, for exploring enhancer RNA (eRNA) expression and regulation using conventional RNA sequencing (RNA-seq) data. Using a public dataset as an example, we describe step-by-step guidelines for identifying eRNAs and characterizing their expressional changes and transcriptional regulation across multiple developmental stages of mouse preimplantation embryos.For complete details on the use and execution of this protocol, please refer to Yu et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
format Article
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institution Matheson Library
issn 2666-1667
language English
publishDate 2025-09-01
publisher Elsevier
record_format Article
series STAR Protocols
spelling doaj-art-c0ae2e8f0eff4cab8ac9cf45c2f772032025-07-27T04:56:29ZengElsevierSTAR Protocols2666-16672025-09-0163103989E3RC: A step-by-step computational protocol for exploring enhancer RNA expression and regulation using conventional RNA-seq dataHua Yu0Yunjie Liu1Zhouming Zhang2Guanglei Xie3Jingyu Liu4Yijia Liu5Siyue He6Zhiwei Peng7Lu Lu8Fei Li9Xi Wang10The 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; Corresponding authorThe First Affiliated Hospital, School of Basic Medical Sciences and Institute of Biomedical Innovation, Jiangxi Medical College, Nanchang University, Nanchang 330031, ChinaQueen Mary School, Nanchang University Nanchang 330031, ChinaWestlake Genomics and Bioinformatics Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, China; School of Life Sciences, Westlake University, Hangzhou 310024, China; Westlake Institute for Advanced Study, Hangzhou 310024, ChinaThe First Affiliated Hospital, School of Basic Medical Sciences and Institute of Biomedical Innovation, Jiangxi Medical College, Nanchang University, Nanchang 330031, ChinaThe First School of Clinical Medicine of Nanchang University, Nanchang 330031, ChinaThe First Affiliated Hospital, School of Basic Medical Sciences and Institute of Biomedical Innovation, Jiangxi Medical College, Nanchang University, Nanchang 330031, ChinaThe First Affiliated Hospital, School of Basic Medical Sciences and Institute of Biomedical Innovation, Jiangxi Medical College, Nanchang University, Nanchang 330031, ChinaCollege of Computer Science, Jiangxi University of Chinese Medicine, Nanchang 330004, ChinaThe 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, ChinaWestlake Genomics and Bioinformatics Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, China; School of Life Sciences, Westlake University, Hangzhou 310024, China; Westlake Institute for Advanced Study, Hangzhou 310024, China; Corresponding authorSummary: Here, we present a computational framework, E3RC, for exploring enhancer RNA (eRNA) expression and regulation using conventional RNA sequencing (RNA-seq) data. Using a public dataset as an example, we describe step-by-step guidelines for identifying eRNAs and characterizing their expressional changes and transcriptional regulation across multiple developmental stages of mouse preimplantation embryos.For complete details on the use and execution of this protocol, please refer to Yu et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.http://www.sciencedirect.com/science/article/pii/S2666166725003958BioinformaticsRNAseqSequence analysis
spellingShingle Hua Yu
Yunjie Liu
Zhouming Zhang
Guanglei Xie
Jingyu Liu
Yijia Liu
Siyue He
Zhiwei Peng
Lu Lu
Fei Li
Xi Wang
E3RC: A step-by-step computational protocol for exploring enhancer RNA expression and regulation using conventional RNA-seq data
STAR Protocols
Bioinformatics
RNAseq
Sequence analysis
title E3RC: A step-by-step computational protocol for exploring enhancer RNA expression and regulation using conventional RNA-seq data
title_full E3RC: A step-by-step computational protocol for exploring enhancer RNA expression and regulation using conventional RNA-seq data
title_fullStr E3RC: A step-by-step computational protocol for exploring enhancer RNA expression and regulation using conventional RNA-seq data
title_full_unstemmed E3RC: A step-by-step computational protocol for exploring enhancer RNA expression and regulation using conventional RNA-seq data
title_short E3RC: A step-by-step computational protocol for exploring enhancer RNA expression and regulation using conventional RNA-seq data
title_sort e3rc a step by step computational protocol for exploring enhancer rna expression and regulation using conventional rna seq data
topic Bioinformatics
RNAseq
Sequence analysis
url http://www.sciencedirect.com/science/article/pii/S2666166725003958
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