Genome-wide and cell-type-selective profiling of in vivo small noncoding RNA:target RNA interactions by chimeric RNA...

Area of Science:

• Molecular Biology
• Genomics
• RNA Biology

Background:

• Small noncoding RNAs (sncRNAs) are crucial regulators of gene expression at the post-transcriptional level.
• Identifying specific sncRNA:target RNA interactions genome-wide is technically challenging.
• Existing methods lack the precision and scalability for comprehensive analysis.

Purpose of the Study:

• To develop a robust and widely adoptable method for unambiguous genome-wide characterization of sncRNA:target RNA interactions.
• To enable cell-type-selective profiling of these interactions in complex biological systems.
• To enhance the study of gene regulation by sncRNAs.

Main Methods:

• CIMERA-seq employs covalent ligation of sncRNAs to their target RNAs within the RNA-induced silencing complex (RISC).
• Direct sequencing of resulting chimeric RNAs allows for in vivo interaction detection.
• Method modifications facilitate low-abundance sample processing and cell-type-specific analysis.

Main Results:

• Demonstrated successful application of CIMERA-seq in mouse brain cortex for cell-type-selective profiling.
• Established a cohesive and optimized strategy for characterizing in vivo sncRNA:target RNA networks.
• Showcased the method's capacity for analyzing interactions in diverse biological contexts and subcellular fractions.

Conclusions:

• CIMERA-seq provides an unambiguous and optimized approach for mapping sncRNA:target RNA interactions.
• The method significantly enhances the ability to study sncRNA-mediated gene regulation.
• Genome-wide and cell-type-selective CIMERA-seq is applicable across various model systems and tissues.