MicroRNA biogenesis is broadly disrupted by inhibition of the splicing factor SF3B1.

In animals, microRNA (miRNA) biogenesis begins with cotranscriptional cleavage of the primary (pri-)miRNA by the Microprocessor complex. Cotranscriptional splicing has been shown to influence Microprocessor cleavage when miRNAs are hosted in introns of protein-coding pri-miRNAs, but the impact of splicing on production of miRNAs hosted in long non-coding (lnc)RNAs is largely unknown. Here, we investigated the role of splicing in the biogenesis of miR-122, an lncRNA-hosted, highly expressed, medically important, liver-specific miRNA. We found that splicing inhibition by the SF3B1 inhibitor pladienolide B (PlaB) led to strong and rapid reduction in transcription of endogenous, but not plasmid-encoded, pri-miR-122, resulting in reduced production of mature miR-122. To allow detection of rapid changes in miRNA biogenesis despite the high stability of mature miRNAs, we used SLAMseq to globally quantify the effects of short-term splicing inhibition on miRNA synthesis. We observed an overall decrease in biogenesis of mature miRNAs following PlaB treatment. Surprisingly, miRNAs hosted in exons and introns were similarly affected. Together, this study provides new insights into the emerging role of splicing in transcription, demonstrating novel biological importance in promotion of miR-122 biogenesis from an lncRNA, and shows that SF3B1 is important for global miRNA biogenesis.

The Pfam protein families database in 2019.

The last few years have witnessed significant changes in Pfam (https://pfam.xfam.org). The number of families has grown substantially to a total of 17,929 in release 32.0. New additions have been coupled with efforts to improve existing families, including refinement of domain boundaries, their classification into Pfam clans, as well as their functional annotation. We recently began to collaborate with the RepeatsDB resource to improve the definition of tandem repeat families within Pfam. We carried out a significant comparison to the structural classification database, namely the Evolutionary Classification of Protein Domains (ECOD) that led to the creation of 825 new families based on their set of uncharacterized families (EUFs). Furthermore, we also connected Pfam entries to the Sequence Ontology (SO) through mapping of the Pfam type definitions to SO terms. Since Pfam has many community contributors, we recently enabled the linking between authorship of all Pfam entries with the corresponding authors' ORCID identifiers. This effectively permits authors to claim credit for their Pfam curation and link them to their ORCID record.