SEdb 2.0: a comprehensive super-enhancer database of human and mouse

Author:

Wang Yuezhu12,Song Chao134,Zhao Jun12,Zhang Yuexin134,Zhao Xilong2,Feng Chenchen2,Zhang Guorui13,Zhu Jiang2,Wang Fan2,Qian Fengcui134,Zhou Liwei12,Zhang Jian2,Bai Xuefeng2,Ai Bo2,Liu Xinyu2,Wang Qiuyu12345678,Li Chunquan12345678ORCID

Affiliation:

1. The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China , Hengyang , Hunan 421001, China

2. School of Medical Informatics, Daqing Campus, Harbin Medical University , Daqing  163319, China

3. School of Computer, University of South China , Hengyang , Hunan 421001, China

4. The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China , Hengyang , Hunan 421001, China

5. Hunan Provincial Base for Scientific and Technological Innovation Cooperation, University of South China , Hengyang , Hunan 421001, China

6. The First Affiliated Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Hengyang , Hunan 421001,  China

7. Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Hengyang Medical School, University of South China , Hengyang , Hunan 421001, China

8. Department of Cell Biology and Genetics, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang , Hunan 421001, China

Abstract

Abstract Super-enhancers (SEs) are cell-specific DNA cis-regulatory elements that can supervise the transcriptional regulation processes of downstream genes. SEdb 2.0 (http://www.licpathway.net/sedb) aims to provide a comprehensive SE resource and annotate their potential roles in gene transcriptions. Compared with SEdb 1.0, we have made the following improvements: (i) Newly added the mouse SEs and expanded the scale of human SEs. SEdb 2.0 contained 1 167 518 SEs from 1739 human H3K27ac chromatin immunoprecipitation sequencing (ChIP-seq) samples and 550 226 SEs from 931 mouse H3K27ac ChIP-seq samples, which was five times that of SEdb 1.0. (ii) Newly added transcription factor binding sites (TFBSs) in SEs identified by TF motifs and TF ChIP-seq data. (iii) Added comprehensive (epi)genetic annotations of SEs, including chromatin accessibility regions, methylation sites, chromatin interaction regions and topologically associating domains (TADs). (iv) Newly embedded and updated search and analysis tools, including ‘Search SE by TF-based’, ‘Differential-Overlapping-SE analysis’ and ‘SE-based TF–Gene analysis’. (v) Newly provided quality control (QC) metrics for ChIP-seq processing. In summary, SEdb 2.0 is a comprehensive update of SEdb 1.0, which curates more SEs and annotation information than SEdb 1.0. SEdb 2.0 provides a friendly platform for researchers to more comprehensively clarify the important role of SEs in the biological process.

Funder

National Natural Science Foundation of China

Natural Science Foundation for Distinguished Young Scholars of Heilongjiang Province of China

Research Foundation of the First Affiliated Hospital of University of South China for Advanced Talents

Wu Liande Youth Science Research Fund of Harbin Medical University

China Postdoctoral Science Foundation

Hunan Provincial Base for Scientific and Technological Innovation Cooperation

Publisher

Oxford University Press (OUP)

Subject

Genetics

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