Garant Jean-Michel, Luce Mikael J, Scott Michelle S, Perreault Jean-Pierre
RNA Group/Groupe ARN, Département de biochimie, Faculté de médecine et des sciences de la santé, Pavillon de recherche appliquée sur le cancer, Université de Sherbrooke, QC J1E 4K8, Canada.
RNA Group/Groupe ARN, Département de biochimie, Faculté de médecine et des sciences de la santé, Pavillon de recherche appliquée sur le cancer, Université de Sherbrooke, QC J1E 4K8, Canada
Database (Oxford). 2015 Jun 17;2015:bav059. doi: 10.1093/database/bav059.
G-quadruplexes (G4) are tetrahelical structures formed from planar arrangement of guanines in nucleic acids. A simple, regular motif was originally proposed to describe G4-forming sequences. More recently, however, formation of G4 was discovered to depend, at least in part, on the contextual backdrop of neighboring sequences. Prediction of G4 folding is thus becoming more challenging as G4 outlier structures, not described by the originally proposed motif, are increasingly reported. Recent observations thus call for a comprehensive tool, capable of consolidating the expanding information on tested G4s, in order to conduct systematic comparative analyses of G4-promoting sequences. The G4RNA Database we propose was designed to help meet the need for easily-retrievable data on known RNA G4s. A user-friendly, flexible query system allows for data retrieval on experimentally tested sequences, from many separate genes, to assess G4-folding potential. Query output sorts data according to sequence position, G4 likelihood, experimental outcomes and associated bibliographical references. G4RNA also provides an ideal foundation to collect and store additional sequence and experimental data, considering the growing interest G4s currently generate.
G-四链体(G4)是由核酸中鸟嘌呤平面排列形成的四螺旋结构。最初提出了一个简单、规则的基序来描述形成G4的序列。然而,最近发现G4的形成至少部分取决于相邻序列的上下文背景。随着越来越多未被最初提出的基序所描述的G4异常结构被报道,G4折叠的预测变得越来越具有挑战性。因此,最近的观察结果需要一个综合工具,能够整合关于已测试G4的不断扩展的信息,以便对促进G4形成的序列进行系统的比较分析。我们提出的G4RNA数据库旨在满足对已知RNA G4的易于检索数据的需求。一个用户友好、灵活的查询系统允许从许多不同基因的实验测试序列中检索数据,以评估G4折叠潜力。查询输出根据序列位置、G4可能性、实验结果和相关参考文献对数据进行排序。考虑到目前人们对G4的兴趣日益浓厚,G4RNA还为收集和存储额外的序列和实验数据提供了理想的基础。