CleaveLand4

CleaveLand4 identifies cleaved small RNA targets from degradome sequencing data to enable confident detection of miRNA and other small RNA-mediated mRNA cleavage events in eukaryotic genomes.

Key Features:

• Degradome Sequencing Integration: Leverages degradome sequencing technologies such as PARE (parallel analysis of RNA ends) and GMUCT (genome-wide mapping of uncapped transcripts) to sample the 5'-ends of uncapped mRNA fragments indicative of miRNA-directed endonucleolytic cleavage.
• Computational Pipeline: Implements a computational approach to identify small RNA-directed cleavage sites, addressing sensitivity and specificity limitations of prediction-only algorithms.
• Input Requirements: Accepts degradome sequences, small RNA sequences, and an mRNA transcript database as inputs for application across species with available transcripts and query small RNAs.
• Output Generation: Produces identified small RNA targets and diagnostic cleavage signatures to support experimental validation of miRNA-target interactions.

Scientific Applications:

• In vivo miRNA target identification: Detects miRNA and other small RNA targets directly from degradome data independent of purely computational predictions.
• Gene regulation and disease research: Supports experimental confirmation of miRNA-target interactions to study gene regulation and disease mechanisms.

Methodology:

Processes degradome sequencing data to identify diagnostic mRNA fragments resulting from small RNA-directed cleavage by analyzing the 5'-ends of uncapped mRNA fragments.