KDASDB: A comprehensive and user-friendly database of alternative splicing dedicated to kidney diseases

Kidney disease has long been a major public health concern, making it crucial to understand its causes, pathogenesis and progression for the development of effective prevention and treatment strategies. Alternative splicing (AS), an important post-transcriptional regulatory mechanism, has been increasingly recognized for its pivotal role in the pathogenesis and progression of kidney diseases. However, a dedicated database that systematically catalog AS events associated with kidney diseases is still lacking. In this study, we developed the Kidney Diseases Alternative Splicing Database (KDASDB, http://www.hxdsjzx.cn/KDASDB), which integrates 90,273 alternative splicing events (ASEs) derived from 2406 samples, encompassing 29 distinct kidney diseases and 126 projects across human and mouse. The database features 52,478 and 41,818 novel transcripts in human and mouse datasets, respectively, and identifies 3354 and 5638 novel ASEs. KDASDB offers intuitive query and visualization tools, enabling researchers to efficiently explore AS patterns and assess their biological significance. By providing comprehensive repository of ASEs and their associations with kidney diseases, KDASDB serves as a valuable platform for advancing our understanding of kidney disease pathogenesis and progression, and supporting the discovery of innovative therapeutic approaches.