Circular RNAs (circRNAs) are a recent addition to the expanding universe of RNA species and originate through back‐splicing events from linear primary transcripts. Detection of circRNAs from sequencing data is a complex bioinformatics process that requires specialized software tools. Novel tools allow a broad range of in silico analyses, such as initial prediction, first functional insights, reconstruction of internal sequences or aid in validation experiments.

Diverse macromolecular interactions lead to the phase separation of protein and RNA during stress. While the identities of many proteins and RNAs contained in these granules (tan spheres) have been elucidated recently, the function of this conserved compartmentalization of the cytoplasm during stress response is still an open question.

Cancer cells have specific splicing patterns defined by spliceosomal proteins, cis‐regulatory elements, and availability of regulatory proteins. Cellular phenotype will be defined by this pattern, affecting cellular proliferation, growth, migration and death, ultimately leading or not to malignant transformation.

The different regulatory functions of ceRNAs.

Recent cryoEM structures offer new insight into the structure and function of spliceosomal RNAs.

The functional cycle of Rnt1p consists of five consecutive steps for RNAi‐independent cleavage of stem‐loop RNAs with NGNN capping loops.