GEOapplication/xmlftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE305nnn/GSE305317/primaryOK200TranscriptomicsHomo sapiensExpression profiling by high throughput sequencinghttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE305317GEOGSEfalseDeciphering the regulatory code of RNA inosine through enzymatic precision mapping and explainable deep learning modelAdenosine-to-inosine (A-to-I) RNA editing is one of the most abundant RNA modifications, participating in multiple critical biological processes. We previously reported Slic-seq, its unique terminal-blocking strategy, significantly enhances inosine detection accuracy. However, by capturing only inosine-modified RNA fragments, it lacks complete gene expression profiling and quantitative capability at editing sites. These limitations hinder its broad application in transcriptome analysis. Here, we present REX-seq (RNA Endonuclease and XRN1 sequencing), a highly sensitive RNA editing detection technology based on the combined action of ENDOV enzyme-specific cleavage and XRN1 exonuclease. its unique design allows for comprehensive A-to-I editome characterization without compromising the accuracy of gene expression quantification.2026/08/25GSE305317GSM9168674GSM9168675GSM9168676GSM916867324676305317Homo sapiens