PCsRNAdb: a comprehensive resource of small noncoding RNAs across cancers.
Rende Huang, Jiang Li, Qi Cao, Lixia Wang, Zhixiong Shao, Haochun Yang, Xinlei Zhang, Chuanlai Yang, Xiangya Kong, Qiuyue Gu, Jianmin Wu, Tsan-Yu Chiu, Penghu Lian, Kui Wu, Feng Gao
Abstract
Open AccessSmall noncoding RNAs (sncRNAs) constitute a diverse class of endogenous transcripts, including miRNAs, piRNAs, tRNA-derived fragments (tDRs), rRNA-derived fragments (rRFs), and other small RNAs. They have been identified as pivotal regulatory elements in a wide array of biological processes and diseases. Among these, miRNA is the most extensively studied and confirmed as a key regulatory and diagnostic biomarker in tumorigenesis and development. However, the current understanding of sncRNAs other than miRNA remains limited, particularly in the field of oncology. To this end, we collected 190 datasets from GEO/SRA database, encompassing 11 114 samples across 19 cancer types, and built a user-friendly database, the Pan-Cancer Small Non-Coding RNA Database (PCsRNAdb, http://pcsrnadb.cloudna.cn/#/Home), which is developed to provide abundant resources of sncRNAs specifically designed to investigate the association between sncRNAs and cancers. PCsRNAdb comprehensively provides basic information such as the sequence, length, abundance, and target genes of sncRNAs, and further offers four advanced functionalities, including differential expression analysis, survival analysis, expression profiling analysis, and network regulatory analysis. We anticipate that such platform offers invaluable resources and effective analytical tools for researchers in related fields and is expected to facilitate cancer-related research in this domain.