G4All: a database of experimentally confirmed G-quadruplex-forming sequences
5 affiliations
- 1Laboratoire d’Optique et Biosciences, École Polytechnique, CNRS, Inserm, Institut Polytechnique de Paris , Palaiseau 91120 ,
- 2Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi , Hauz Khas, New Delhi, 110016 ,
- 3Department of Biochemistry, University of Agriculture Faisalabad , Faisalabad 38040 ,
- 4Université Sorbonne Paris Nord, UFR SMBH , Bobigny 93000 ,
- 5Institut de Biologie de L'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL , 75005 Paris ,
Abstract
G-quadruplexes (G4s) are non-canonical nucleic acid structures with critical roles in gene regulation, genomic stability, and disease, making them prime targets for therapeutic and biotechnological applications. However, the absence of a curated, centralized, experimentally validated repository of short (mostly synthetic) G4-forming sequences, paired with appropriate single-stranded or hairpin controls, has limited reproducibility and hindered progress in the field. Here, we introduce G4All, a comprehensive, curated database of G4-forming short DNA and RNA sequences, complemented by rigorously selected non-G4 controls, all studied under roughly similar experimental conditions (generally around 100 mM potassium and near neutral pH). G4All consolidates sequences validated by diverse experimental methods, including circular dichroism, NMR, UV spectroscopy, with annotations for topology, thermal stability, and experimental conditions. By providing both positive and negative datasets, G4All enables rigorous comparative analyses, assay benchmarking, and the development of predictive models. The database supports a broad range of applications, from fundamental studies of G4 biophysics to the rational design of aptamers, as well as benchmarking prediction algorithms. Future developments will expand G4All to include user-submitted datasets and more RNA sequences. Freely accessible at https://g4-all.streamlit.app/, G4All offers a searchable interface and downloadable datasets, establishing a community-driven hub to accelerate discovery and standardization in G4 research.
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BibTeX
@article{rajput2026g4all,
title = {{G4All: a database of experimentally confirmed G-quadruplex-forming sequences}},
author = {Parth Rajput and Anne Cucchiarini and Dmitrii Trubetskoy and Giacomo Ferrari and Yun Chen and Muafia Baigum and Lionel Guittat and Laurent Lacroix and Jean-Louis Mergny},
journal = {Nucleic Acids Research},
year = {2026},
month = oct,
doi = {10.1093/nar/gkag981},
url = {https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkag981/8959845},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - G4All: a database of experimentally confirmed G-quadruplex-forming sequences
AU - Parth Rajput
AU - Anne Cucchiarini
AU - Dmitrii Trubetskoy
AU - Giacomo Ferrari
AU - Yun Chen
AU - Muafia Baigum
AU - Lionel Guittat
AU - Laurent Lacroix
AU - Jean-Louis Mergny
PY - 2026
DA - 2026/10/21
JO - Nucleic Acids Research
DO - 10.1093/nar/gkag981
UR - https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkag981/8959845
AB - G-quadruplexes (G4s) are non-canonical nucleic acid structures with critical roles in gene regulation, genomic stability, and disease, making them prime targets for therapeutic and biotechnological applications. However, the absence of a curated, centralized, experimentally validated repository of short (mostly synthetic) G4-forming sequences, paired with appropriate single-stranded or hairpin controls, has limited reproducibility and hindered progress in the field. Here, we introduce G4All, a comprehensive, curated database of G4-forming short DNA and RNA sequences, complemented by rigorously selected non-G4 controls, all studied under roughly similar experimental conditions (generally around 100 mM potassium and near neutral pH). G4All consolidates sequences validated by diverse experimental methods, including circular dichroism, NMR, UV spectroscopy, with annotations for topology, thermal stability, and experimental conditions. By providing both positive and negative datasets, G4All enables rigorous comparative analyses, assay benchmarking, and the development of predictive models. The database supports a broad range of applications, from fundamental studies of G4 biophysics to the rational design of aptamers, as well as benchmarking prediction algorithms. Future developments will expand G4All to include user-submitted datasets and more RNA sequences. Freely accessible at https://g4-all.streamlit.app/, G4All offers a searchable interface and downloadable datasets, establishing a community-driven hub to accelerate discovery and standardization in G4 research.
SN - 0305-1048
SN - 1362-4962
ER -