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A polyA (pA) tail is an essential modification added to the 3′ ends of a wide range of RNAs at different stages of their metabolism. Here, we describe the main sources of polyadenylation and outline their underlying biochemical interactions within the nuclei of budding yeast Saccharomyces cerevisiae, human cells and, when relevant, the fission yeast Schizosaccharomyces pombe. Polyadenylation mediated by the S. cerevisiae Trf4/5 enzymes, and their human homologues PAPD5/7, typically leads to the 3′-end trimming or complete decay of non-coding RNAs. By contrast, the primary function of canonical pA polymerases (PAPs) is to produce stable and nuclear export-competent mRNAs. However, this dichotomy is becoming increasingly blurred, at least in S. pombe and human cells, where polyadenylation mediated by canonical PAPs may also result in transcript decay. This article is part of the theme issue ‘5′ and 3′ modifications controlling RNA degradation’.

Mammalian genomes are pervasively transcribed, yielding a complex transcriptome with high variability in composition and cellular abundance. Although recent efforts have identified thousands of new long non-coding (lnc) RNAs and demonstrated a complex transcriptional repertoire produced by protein-coding (pc) genes, limited progress has been made in distinguishing functional RNA from spurious transcription events. This is partly due to present RNA classification, which is typically based on technical rather than biochemical criteria. Here we devise a strategy to systematically categorize human RNAs by their sensitivity to the ribonucleolytic RNA exosome complex and by the nature of their transcription initiation. These measures are surprisingly effective at correctly classifying annotated transcripts, including lncRNAs of known function. The approach also identifies uncharacterized stable lncRNAs, hidden among a vast majority of unstable transcripts. The predictive power of the approach promises to streamline the functional analysis of known and novel RNAs. Despite our growing understanding of their complexity, different types of RNA are still classified using technical rather than functional criteria. Andersson et al. show that categorization of RNAs based on stability and direction of transcription is an effective means of functional classification.

The nuclear exosome and its essential co-factor, the RNA helicase MTR4, play crucial roles in several RNA degradation pathways. Besides unwinding RNA substrates for exosome-mediated degradation, MTR4 associates with RNA-binding proteins that function as adaptors in different RNA processing and decay pathways. Here, we identify and characterize the interactions of human MTR4 with a ribosome processing adaptor, NVL, and with ZCCHC8, an adaptor involved in the decay of small nuclear RNAs. We show that the unstructured regions of NVL and ZCCHC8 contain short linear motifs that bind the MTR4 arch domain in a mutually exclusive manner. These short sequences diverged from the arch-interacting motif (AIM) of yeast rRNA processing factors. Our results suggest that nuclear exosome adaptors have evolved canonical and non-canonical AIM sequences to target human MTR4 and demonstrate the versatility and specificity with which the MTR4 arch domain can recruit a repertoire of different RNA-binding proteins. The human RNA exosome contains a nuclear co-factor MTR4, which unwinds structural RNAs and recruits adaptors for different RNA processing and decay pathways. Here the authors uncover new variations of the arch-interacting motif (AIM) in NVL and ZCCHC8 and characterise their interaction with MTR4.

RNA turnover is an integral part of cellular RNA homeostasis and gene expression regulation. Whereas the cytoplasmic control of protein-coding mRNA is often the focus of study, we discuss here the less appreciated role of nuclear RNA decay systems in controlling RNA polymerase II (RNAPII)-derived transcripts. Historically, nuclear RNA degradation was found to be essential for the functionalization of transcripts through their proper maturation. Later, it was discovered to also be an important caretaker of nuclear hygiene by removing aberrant and unwanted transcripts. Recent years have now seen a set of new protein complexes handling a variety of new substrates, revealing functions beyond RNA processing and the decay of non-functional transcripts. This includes an active contribution of nuclear RNA metabolism to the overall cellular control of RNA levels, with mechanistic implications during cellular transitions.

Abstract The RNA exosome degrades transcripts in the nucleoplasm of mammalian cells. Its substrate specificity is mediated by two adaptors: the ‘nuclear exosome targeting (NEXT)’ complex and the ‘poly(A) exosome targeting (PAXT)’ connection. Previous studies have revealed some DNA/RNA elements that differ between the two pathways, but how informative these features are for distinguishing pathway targeting, or whether additional genomic features that are informative for such classifications exist, is unknown. Here, we leverage the wealth of available genomic data and develop machine learning models that predict exosome targets and subsequently rank the features the models use by their predictive power. As expected, features around transcript end sites were most predictive; specifically, the lack of canonical 3′ end processing was highly predictive of NEXT targets. Other associated features, such as promoter-proximal G/C content and 5′ splice sites, were informative, but only for distinguishing NEXT and not PAXT targets. Finally, we discovered predictive features not previously associated with exosome targeting, in particular RNA helicase DDX3X binding sites. Overall, our results demonstrate that nucleoplasmic exosome targeting is to a large degree predictable, and our approach can assess the predictive power of previously known and new features in an unbiased way.

In this perspective, we discuss the regulatory impact of nuclear RNA export and decay on messenger RNA (mRNA) functionality. It is well established that control of protein-coding gene expression in eukaryotes employs the regulated production of mRNA, its intra-cellular transfer to cytoplasmic ribosomes and final transcript degradation. Despite a rich body of literature on these events, an involvement of nuclear RNA decay systems remains largely unexplored. Instead, nuclear RNA degradation is often considered a quality control precaution engaged primarily in ridding cells of aberrantly processed transcripts and spurious non-coding RNA. Recent research from human and budding yeast cells, however, demonstrates that even protein-coding transcripts fall prey to nuclear decay and that this is countered by their nuclear export. Here, we outline the potential of nuclear polyA-binding proteins in tuning levels of cellular mRNA to maintain transcript homeostasis.

Premature transcription termination yields a wealth of unadenylated (pA − ) RNA. Although this can be targeted for degradation by the Nuclear EXosome Targeting (NEXT) complex, possible backup pathways remain poorly understood. Here, we find increased levels of 3′ end uridylated and adenylated RNAs upon NEXT inactivation. U-tailed RNAs are mostly short and modified by the cytoplasmic tailing enzymes, TUT4/7, following their PHAX-dependent nuclear export and prior to their degradation by the cytoplasmic exosome or the exoribonuclease DIS3L2. Longer RNAs are instead adenylated redundantly by enzymes TENT2, PAPOLA and PAPOLG. These transcripts are either degraded via the nuclear Poly(A) tail eXosome Targeting (PAXT) connection or exported and removed by the cytoplasmic exosome in a translation-dependent manner. Failure to do so decreases global translation and induces cell death. We conclude that post-transcriptional 3′ end modification and removal of excess pA − RNA is achieved by tailing enzymes and export factors shared with productive RNA pathways. Pervasive transcription generates numerous unadenylated RNAs, usually degraded by the NEXT/nuclear exosome pathway. Here, the authors show that, upon NEXT inactivation, these RNAs are removed by compensatory RNA decay pathways relying on RNA 3′end A- or U-tailing.

Dynamic RNA-protein interactions govern the co-transcriptional packaging of RNA polymerase II (RNAPII)-derived transcripts. Yet, our current understanding of this process in vivo primarily stems from steady state analysis. To remedy this, we here conduct temporal-iCLIP (tiCLIP), combining RNAPII transcriptional synchronisation with UV cross-linking of RNA-protein complexes at serial timepoints. We apply tiCLIP to the RNA export adaptor, ALYREF; a component of the Nuclear Exosome Targeting (NEXT) complex, RBM7; and the nuclear cap binding complex (CBC). Regardless of function, all tested factors interact with nascent RNA as it exits RNAPII. Moreover, we demonstrate that the two transesterification steps of pre-mRNA splicing temporally separate ALYREF and RBM7 binding to splicing intermediates, and that exon-exon junction density drives RNA 5′end binding of ALYREF. Finally, we identify underappreciated steps in snoRNA 3′end processing performed by RBM7. Altogether, our data provide a temporal view of RNA-protein interactions during the early phases of transcription. Dynamic RNA-protein interactions govern the co-transcriptional packaging of RNA polymerase II derived transcripts. Here the authors use temporal-iCLIP which combines transcriptional synchronisation with UV cross-linking of RNA-protein complexes to reveal dynamic RNA-protein interactions during the early phases of transcription and beyond.

The polyadenosine tail (poly[A]-tail) is a universal modification of eukaryotic messenger RNAs (mRNAs) and non-coding RNAs (ncRNAs). In budding yeast, Pap1-synthesized mRNA poly(A) tails enhance export and translation, whereas Trf4/5-mediated polyadenylation of ncRNAs facilitates degradation by the exosome. Using direct RNA sequencing, we decipher the extent of poly(A) tail dynamics in yeast defective in all relevant exonucleases, deadenylases, and poly(A) polymerases. Predominantly ncRNA poly(A) tails are 20-60 adenosines long. Poly(A) tails of newly transcribed mRNAs are 50 adenosine long on average, with an upper limit of 200. Exonucleolysis by Trf5-assisted nuclear exosome and cytoplasmic deadenylases trim the tails to 40 adenosines on average. Surprisingly, PAN2/3 and CCR4-NOT deadenylase complexes have a large pool of non-overlapping substrates mainly defined by expression level. Finally, we demonstrate that mRNA poly(A) tail length strongly responds to growth conditions, such as heat and nutrient deprivation. RNA polyadenosine tails are important for the export, translation and stability of mRNAs and play a role in non-coding RNA biogenesis. Here the authors measure yeast poly(A) tail lengths by direct RNA sequencing, revealing its dynamics in yeast exonuclease, deadenylase and poly(A) polymerase mutants.

Turnover of mRNA in the cytoplasm of human cells is thought to be redundantly conducted by the monomeric 5′‐3′ exoribonuclease hXRN1 and the 3′‐5′ exoribonucleolytic RNA exosome complex. However, in addition to the exosome‐associated 3′‐5′ exonucleases hDIS3 and hDIS3L, the human genome encodes another RNase II/R domain protein—hDIS3L2. Here, we show that hDIS3L2 is an exosome‐independent cytoplasmic mRNA 3′‐5′ exonuclease, which exhibits processive activity on structured RNA substrates in vitro . hDIS3L2 associates with hXRN1 in an RNA‐dependent manner and can, like hXRN1, be found on polysomes. The impact of hDIS3L2 on cytoplasmic RNA metabolism is revealed by an increase in levels of cytoplasmic RNA processing bodies (P‐bodies) upon hDIS3L2 depletion, which also increases half‐lives of investigated mRNAs. Consistently, RNA sequencing (RNA‐seq) analyses demonstrate that depletion of hDIS3L2, like downregulation of hXRN1 and hDIS3L, causes changed levels of multiple mRNAs. We suggest that hDIS3L2 is a key exosome‐independent effector of cytoplasmic mRNA metabolism. Cytoplasmic mRNA turnover is thought to be governed by hXRN1 and the RNA exosome. The 3′‐5′ exonuclease hDis3L2 defines a third physiological mRNA decay pathway, independent of the exosome and linked to hXRN1.