EndoQuad: a comprehensive genome-wide experimentally validated endogenous G-quadruplex database

Author:

Qian Sheng Hu1ORCID,Shi Meng-Wei1,Xiong Yu-Li1,Zhang Yuan1,Zhang Ze-Hao1,Song Xue-Mei1,Deng Xin-Yin1,Chen Zhen-Xia123ORCID

Affiliation:

1. Hubei Hongshan Laboratory, College of Life Science and Technology, College of Biomedicine and Health, Interdisciplinary Sciences Institute, Huazhong Agricultural University , Wuhan 430070 , PR China

2. Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University , Shenzhen 518000 , China

3. Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences , Shenzhen 518000 , China

Abstract

Abstract 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.

Funder

The science and technology major program of Hubei Province

Foundation of Hubei Hongshan Laboratory

HZAU-AGIS Cooperation Fund

Publisher

Oxford University Press (OUP)

Subject

Genetics

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