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Circular RNAs (circRNAs) are a widespread, cell-, tissue-, and disease-specific class of largely non-coding RNA transcripts. These single-stranded, covalently-closed transcripts arise through non-canonical splicing of pre-mRNA, a process called back-splicing. Back-splicing results in circRNAs which are distinguishable from their cognate mRNA as they possess a unique sequence of nucleic acids called the backsplice junction (BSJ). CircRNAs have been shown to play key functional roles in various cellular contexts and achieve this through their interaction with other macromolecules, particularly other RNA molecules and proteins. To elucidate the molecular mechanisms underlying circRNA function, it is necessary to identify these interacting partners. Herein, we present an optimized strategy for the simultaneous purification of the circRNA interactome within eukaryotic cells, allowing the identification of both circRNA-RNA and circRNA-protein interactions., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

Circular RNAs (circRNAs) constitute an emerging class of widespread, abundant, and evolutionarily conserved noncoding RNA. They play important and diverse roles in cell development, growth, and tumorigenesis, but functions of the majority of circRNAs remain enigmatic. In order to investigate circRNA function it is necessary to manipulate its expression. While various standard approaches exist for circRNA knockdown, here we present cloning vectors for simplifying the laborious process of cloning circRNAs to achieve high-efficiency overexpression in mammalian cell lines.

Interrogating the cell-specific transcriptome forms an important component of understanding the role that specific cells play in assisting a plant to overcome abiotic stress. Among the challenges arising when extracting RNA from individual plant cells are: the isolation of pure cell populations; the small yield of material when isolating specific cell types, and ensuring an accurate representation of the transcriptome from each cell type after amplification of RNA. Here we describe two approaches for isolating RNA from specific cell types-single cell sampling and analysis (SiCSA) and laser capture microdissection. Isolated RNA can then be directly sampled qualitatively using reverse transcription PCR (RT-PCR) or amplified for profiling -multiple specific genes using quantitative RT-PCR and genome-wide transcript analyses.