miR-AT

miR-AT identifies transcripts targeted by a specified list of microRNAs and quantifies the combinatorial impact of multiple miRNAs on target gene repression to elucidate regulatory mechanisms and disease-relevant pathways.

Key Features:

• Combinatorial Analysis: Assesses collective binding of multiple miRNAs to single transcripts to evaluate combined repression effects.
• Disease Relevance: Links concurrent dysregulation of multiple miRNAs to diseases such as metastatic cancer by highlighting affected genes and pathways.
• Enrichment Analysis: Performs enrichment analysis on transcripts with multiple target sites to identify pathways including cell cycle regulation, cytoskeleton organization, and cell adhesion.
• Network Analysis: Constructs network analyses to identify target genes upstream of regulatory nodes such as cyclin D1 and c-Myc.
• Identification of Key Targets: Predicts combinatorial targets implicated in cancer metastasis, including TGFB1, ARPC3, and RANKL.

Scientific Applications:

• Cancer Research: Elucidates how loss or dysregulation of multiple miRNAs alters gene expression networks involved in metastatic processes, aiding biomarker and therapeutic target discovery.
• Gene Regulation Studies: Enables analysis of combinatorial miRNA effects to investigate multilayer gene regulation mechanisms.

Methodology:

Integrates miRNA binding site data, assesses the collective impact of specified miRNA lists on transcripts, and applies enrichment and network analysis to identify significant pathways and upstream regulators.