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CodLncScape Provides a Self‐Enriching Framework for the Systematic Collection and Exploration of Coding LncRNAs
Advanced Science ( IF 15.1 ) Pub Date : 2024-04-11 , DOI: 10.1002/advs.202400009
Tianyuan Liu 1 , Huiyuan Qiao 2 , Zixu Wang 3 , Xinyan Yang 4 , Xianrun Pan 2 , Yu Yang 5 , Xiucai Ye 1, 3 , Tetsuya Sakurai 1, 3 , Hao Lin 6 , Yang Zhang 2
Affiliation  

Recent studies have revealed that numerous lncRNAs can translate proteins under specific conditions, performing diverse biological functions, thus termed coding lncRNAs. Their comprehensive landscape, however, remains elusive due to this field's preliminary and dispersed nature. This study introduces codLncScape, a framework for coding lncRNA exploration consisting of codLncDB, codLncFlow, codLncWeb, and codLncNLP. Specifically, it contains a manually compiled knowledge base, codLncDB, encompassing 353 coding lncRNA entries validated by experiments. Building upon codLncDB, codLncFlow investigates the expression characteristics of these lncRNAs and their diagnostic potential in the pan‐cancer context, alongside their association with spermatogenesis. Furthermore, codLncWeb emerges as a platform for storing, browsing, and accessing knowledge concerning coding lncRNAs within various programming environments. Finally, codLncNLP serves as a knowledge‐mining tool to enhance the timely content inclusion and updates within codLncDB. In summary, this study offers a well‐functioning, content‐rich ecosystem for coding lncRNA research, aiming to accelerate systematic studies in this field.

中文翻译:

CodLncScape 为编码 LncRNA 的系统收集和探索提供了一个自我丰富的框架

最近的研究表明,许多lncRNA可以在特定条件下翻译蛋白质,发挥不同的生物学功能,因此被称为编码lncRNA。然而,由于该领域的初步和分散性质,它们的综合景观仍然难以捉摸。本研究介绍了 codLncScape,一个用于编码 lncRNA 探索的框架,由 codLncDB、codLncFlow、codLncWeb 和 codLncNLP 组成。具体来说,它包含一个手动编译的知识库 codLncDB,包含经过实验验证的 353 个编码 lncRNA 条目。 codLncFlow 以 codLncDB 为基础,研究了这些 lncRNA 的表达特征及其在泛癌背景下的诊断潜力,以及它们与精子发生的关系。此外,codLncWeb 作为一个平台出现,用于在各种编程环境中存储、浏览和访问有关编码 lncRNA 的知识。最后,codLncNLP 作为知识挖掘工具来增强 codLncDB 中内容的及时包含和更新。综上所述,本研究为编码lncRNA研究提供了一个功能良好、内容丰富的生态系统,旨在加速该领域的系统研究。
更新日期:2024-04-11
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