Kolenda Tomasz, Śmiełowska Marianna, Lipowicz Julia, Ostapowicz Julia, Pacześna Paula, Rosochowicz Monika Anna, Poter Paulina, Kozłowska-Masłoń Joanna, Guglas Kacper, Dudek Klaudia, Grzejda Nina, Regulska Katarzyna, Florczak Anna, Kazimierczak Urszula, Lamperska Katarzyna, Teresiak Anna
Laboratory of Cancer Genetics, Greater Poland Cancer Center, Poznan, Poland.
Greater Poland Cancer Center, Research and Implementation Unit, Poznan, Poland.
Rep Pract Oncol Radiother. 2024 Jun 6;29(2):245-257. doi: 10.5603/rpor.99675. eCollection 2024.
Cellular information about "life instruction" is stored, transferred, and modified using different types of RNA molecules. During the last decades, a growing number of RNA data has been generated thanks to the development of microarray chips and next-generation sequencing (NGS) methods. Improvement of bioinformatics contributed to the discovery of many types of new non-coding RNAs (ncRNAs), mostly with regulatory functions that supplemented the knowledge about the world of RNA. All of it, as well as the Human Genome Project (HGP) and the Cancer Genome Atlas (TCGA) project, has resulted in the formation of data storage and analysis portals which are widely used in cancer research and moved science from to research. In this review we presented and discussed the data storage and analysis portals used by us, such as cBioPortal, UALCAN, ENCORI, and others. During the revision of these sites, we paid attention to data integration, simplicity of analysis, and results visualization, which are important for users without bioinformatic or statistical skills. In our opinion, the RNA analysis online tools will rapidly develop during the next decade and it seems to be a way for personalization of cancer treatment.
关于“生命指令”的细胞信息通过不同类型的RNA分子进行存储、传递和修改。在过去几十年中，由于微阵列芯片和新一代测序（NGS）方法的发展，产生了越来越多的RNA数据。生物信息学的进步促成了许多新型非编码RNA（ncRNA）的发现，其中大多数具有调节功能，补充了有关RNA世界的知识。所有这些，以及人类基因组计划（HGP）和癌症基因组图谱（TCGA）项目，都导致了数据存储和分析门户的形成，这些门户在癌症研究中被广泛使用，并推动科学从 研究发展到 研究。在这篇综述中，我们展示并讨论了我们使用的数据存储和分析门户，如cBioPortal、UALCAN、ENCORI等。在对这些网站进行修订时，我们关注了数据整合、分析的简易性和结果可视化，这对没有生物信息学或统计学技能的用户很重要。我们认为，RNA分析在线工具将在未来十年迅速发展，这似乎是癌症治疗个性化的一种方式。
