Explore RNA as a drug target
A multi-omics genome browser integrating semi-extractable RNA profiling, organoid expression data, NMR-based RNA-ligand affinity screening, and pan-disease RNA annotations to accelerate RNA-targeting drug design.
Core Datasets
Semi-extractable RNAs
RNA-seq profiling of semi-extractable RNAs across diverse human cell lines and conditions, including drug treatments, knockdowns, and lung organoid models. Covering both conventional and improved extraction protocols.
Expression (MoriiLab)
Comprehensive expression profiling of human lung organoids using RAMDA-seq and Smart-seq protocols. Includes IPF cytokine treatments, MIR205HG knockdowns, drug responses (Entinostat, DQzG), and time-course experiments across 9 project series.
N-RLAD
NMR-based screening of RNA-ligand interactions. Each RNA sample is tested against 5 small molecule compounds (Risdiplam, NCD, CPFX, 738, 1024) with affinity classified as High, Medium, or No Binding. Includes secondary structure visualization via fornac.
PanDiseaseRNA
Genome-wide pan-disease RNA annotation derived from Japanese patient cohort RNA-seq data (NBDC/JGAS). Covers 39 disease/tissue conditions including liver cancer, gastric cancer, lung cancer, leukemia, myositis, and normal tissues.
Database Composition
All Data Categories
Track Registry
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