Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

EndoQuad

General information

URL: http://chenzxlab.hzau.edu.cn/EndoQuad
Full name: genome-wide experimentally validated endogenous G-quadruplex database
Description: G-quadruplexes (G4s) are non-canonical four-stranded structures and emerge as novel genetic regulatory elements. However, a comprehensive genomic annotation of endogenous G4s (eG4s) and systematic characterization of their regulatory network are still lacking, raising great challenges for eG4 research. Here, we present EndoQuad to address these pressing issues by integrating high-throughput experimental data. First, based on more than 1200 high-quality genome-wide eG4s mapping datasets generated by G4 ChIP-seq/CUT&Tag, we generate a reference set of genome-wide eG4s across human, mouse, and chicken. Our multi-omics analyses show that most eG4s are identified in one or a few cell types. The eG4s with higher occurrences across samples are more structurally stable, evolutionarily conserved, enriched in promoter regions, mark highly expressed genes, and associate with complex regulatory programs, demonstrating higher confidence level for further functional study. Finally, we integrate millions of functional genomic variants and prioritize eG4s with regulatory functions in disease and cancer context. These efforts have culminated in the comprehensive and interactive database of experimentally validated DNA eG4s. As such, EndoQuad enables users to easily access, download, and repurpose these data for their own research. EndoQuad will become a one-stop resource for eG4 research and lays the foundation for future functional study.
Year founded: 2022
Last update: 2023
Version: 1.0
Accessibility:
Accessible
Country/Region: China

Funding support

  • 2021ABA011
  • 2021hszd012
  • 2022hszd024
  • 2022hszd028
  • SZYJY2021010

Classification & Tag

Data type:
DNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Huazhong Agricultural University
Address: ‎Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan City, Hubei Province
City: Wuhan
Province/State: Hubei
Country/Region: China
Contact name (PI/Team): Zhen-Xia Chen
Contact email (PI/Helpdesk): zhen-xia.chen@mail.hzau.edu.cn

Publications

37904589
EndoQuad: a comprehensive genome-wide experimentally validated endogenous G-quadruplex database. [PMID: 37904589]
Qian SH, Shi MW, Xiong YL, Zhang Y, Zhang ZH, Song XM, Deng XY, Chen ZX.

G-quadruplexes (G4s) are non-canonical four-stranded structures and are emerging as novel genetic regulatory elements. However, a comprehensive genomic annotation of endogenous G4s (eG4s) and systematic characterization of their regulatory network are still lacking, posing major challenges for eG4 research. Here, we present EndoQuad (https://EndoQuad.chenzxlab.cn/) to address these pressing issues by integrating high-throughput experimental data. First, based on high-quality genome-wide eG4s mapping datasets (human: 1181; mouse: 24; chicken: 2) generated by G4 ChIP-seq/CUT&Tag, we generate a reference set of genome-wide eG4s. Our multi-omics analyses show that most eG4s are identified in one or a few cell types. The eG4s with higher occurrences across samples are more structurally stable, evolutionarily conserved, enriched in promoter regions, mark highly expressed genes and associate with complex regulatory programs, demonstrating higher confidence level for further experiments. Finally, we integrate millions of functional genomic variants and prioritize eG4s with regulatory functions in disease and cancer contexts. These efforts have culminated in the comprehensive and interactive database of experimentally validated DNA eG4s. As such, EndoQuad enables users to easily access, download and repurpose these data for their own research. EndoQuad will become a one-stop resource for eG4 research and lay the foundation for future functional studies.

Nucleic Acids Res. 2023:() | 19 Citations (from Europe PMC, 2025-12-20)

Ranking

All databases:
1789/6895 (74.068%)
Structure:
243/967 (74.974%)
Metadata:
173/719 (76.078%)
1789
Total Rank
15
Citations
7.5
z-index

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Record metadata

Created on: 2023-11-01
Curated by:
Zhen-Xia Chen [2024-08-04]
Lin Liu [2023-11-01]
Zhen-Xia Chen [2023-11-01]