Diminished nuclear RNA decay upon Salmonella infection upregulates antibacterial noncoding RNAs.

Cytoplasmic mRNA degradation controls gene expression to help eliminate pathogens during infection. However, it has remained unclear whether such regulation also extends to nuclear RNA decay. Here, we show that 145 unstable nuclear RNAs, including enhancer RNAs (eRNAs) and long noncoding RNAs (lncRNAs) such as NEAT1v2, are stabilized upon Salmonella infection in HeLa cells. In uninfected cells, the RNA exosome, aided by the Nuclear EXosome Targeting (NEXT) complex, degrades these labile transcripts. Upon infection, the levels of the exosome/NEXT components, RRP6 and MTR4, dramatically decrease, resulting in transcript stabilization. Depletion of lncRNAs, NEAT1v2, or eRNA07573 in HeLa cells triggers increased susceptibility to Salmonella infection concomitant with the deregulated expression of a distinct class of immunity-related genes, indicating that the accumulation of unstable nuclear RNAs contributes to antibacterial defense. Our results highlight a fundamental role for regulated degradation of nuclear RNA in the response to pathogenic infection.

Long noncoding RNA NEAT1-dependent SFPQ relocation from promoter region to paraspeckle mediates IL8 expression upon immune stimuli.

Although thousands of long noncoding RNAs (lncRNAs) are localized in the nucleus, only a few dozen have been functionally characterized. Here we show that nuclear enriched abundant transcript 1 (NEAT1), an essential lncRNA for the formation of nuclear body paraspeckles, is induced by influenza virus and herpes simplex virus infection as well as by Toll-like receptor3-p38 pathway-triggered poly I:C stimulation, resulting in excess formation of paraspeckles. We found that NEAT1 facilitates the expression of antiviral genes including cytokines such as interleukin-8 (IL8). We found that splicing factor proline/glutamine-rich (SFPQ), a NEAT1-binding paraspeckle protein, is a repressor of IL8 transcription, and that NEAT1 induction relocates SFPQ from the IL8 promoter to the paraspeckles, leading to transcriptional activation of IL8. Together, our data show that NEAT1 plays an important role in the innate immune response through the transcriptional regulation of antiviral genes by the stimulus-responsive cooperative action of NEAT1 and SFPQ.

A GC-rich sequence feature in the 3' UTR directs UPF1-dependent mRNA decay in mammalian cells.

Up-frameshift protein 1 (UPF1) is an ATP-dependent RNA helicase that has essential roles in RNA surveillance and in post-transcriptional gene regulation by promoting the degradation of mRNAs. Previous studies revealed that UPF1 is associated with the 3' untranslated region (UTR) of target mRNAs via as-yet-unknown sequence features. Herein, we aimed to identify characteristic sequence features of UPF1 targets. We identified 246 UPF1 targets by measuring RNA stabilization upon UPF1 depletion and by identifying mRNAs that associate with UPF1. By analyzing RNA footprint data of phosphorylated UPF1 and two CLIP-seq data of UPF1, we found that 3' UTR but not 5' UTRs or open reading frames of UPF1 targets have GC-rich motifs embedded in high GC-content regions. Reporter gene experiments revealed that GC-rich motifs in UPF1 targets were indispensable for UPF1-mediated mRNA decay. These findings highlight the important features of UPF1 target 3' UTRs.

Analysis of RNA decay factor mediated RNA stability contributions on RNA abundance.

BACKGROUND: Histone epigenome data determined by chromatin immunoprecipitation sequencing (ChIP-seq) is used in identifying transcript regions and estimating expression levels. However, this estimation does not always correlate with eventual RNA expression levels measured by RNA sequencing (RNA-seq). Part of the inconsistency may arise from the variance in RNA stability, where the transcripts that are more or less abundant than predicted RNA expression from histone epigenome data are inferred to be more or less stable. However, there is little systematic analysis to validate this assumption. Here, we used stability data of whole transcriptome measured by 5'-bromouridine immunoprecipitation chase sequencing (BRIC-seq), which enabled us to determine the half-lives of whole transcripts including lincRNAs, and we integrated BRIC-seq with ChIP-seq to achieve better estimation of the eventual transcript levels and to understand the importance of post-transcriptional regulation that determine the eventual transcript levels. RESULTS: We identified discrepancies between the RNA abundance estimated by ChIP-seq and measured RNA expression from RNA-seq; for number of genes and estimated that the expression level of 865 genes was controlled at the level of RNA stability in HeLa cells. ENCODE data analysis supported the idea that RNA stability control aids to determine transcript levels in multiple cell types. We identified UPF1, EXOSC5 and STAU1, well-studied RNA degradation factors, as controlling factors for 8% of cases. Computational simulations reasonably explained the changes of eventual mRNA levels attributable to the changes in the rates of mRNA half-lives. In addition, we propose a feedback circuit that includes the regulated degradation of mRNAs encoding transcription factors to maintain the steady state level of RNA abundance. Intriguingly, these regulatory mechanisms were distinct between mRNAs and lincRNAs. CONCLUSIONS: Integrative analysis of ChIP-seq, RNA-seq and our BRIC-seq showed that transcriptional regulation and RNA degradation are independently regulated. In addition, RNA stability is an important determinant of eventual transcript levels. RNA binding proteins, such as UPF1, STAU1 and EXOSC5 may play active roles in such controls.

BRIC-seq: a genome-wide approach for determining RNA stability in mammalian cells.

We recently developed a novel transcriptome analysis method, termed 5'-bromo-uridine (BrU) immunoprecipitation chase-deep sequencing analysis (BRIC-seq). BRIC-seq enables the determination of genome-wide RNA stability by chasing chronological decreases of BrU-labeled RNAs under physiologically undisturbed conditions. The RNA half-life of each transcript is calculated from the decreasing number of BrU-labeled RNA sequence tags measured by deep sequencing of BrU-labeled RNAs. Here, we describe a detailed protocol and provide tips for BRIC-seq, followed by computational analysis.

Identification of hundreds of novel UPF1 target transcripts by direct determination of whole transcriptome stability.

UPF1 eliminates aberrant mRNAs harboring premature termination codons, and regulates the steady-state levels of normal physiological mRNAs. Although genome-wide studies of UPF1 targets performed, previous studies did not distinguish indirect UPF1 targets because they could not determine UPF1-dependent altered RNA stabilities. Here, we measured the decay rates of the whole transcriptome in UPF1-depleted HeLa cells using BRIC-seq, an inhibitor-free method for directly measuring RNA stability. We determined the half-lives and expression levels of 9,229 transcripts. An amount of 785 transcripts were stabilized in UPF1-depleted cells. Among these, the expression levels of 76 transcripts were increased, but those of the other 709 transcripts were not altered. RNA immunoprecipitation showed UPF1 bound to the stabilized transcripts, suggesting that UPF1 directly degrades the 709 transcripts. Many UPF1 targets in this study were newly identified. This study clearly demonstrates that direct determination of RNA stability is a powerful approach for identifying targets of RNA degradation factors.

Loss of the fragile X syndrome protein FMRP results in misregulation of nonsense-mediated mRNA decay.

Loss of the fragile X protein FMRP is a leading cause of intellectual disability and autism1,2, but the underlying mechanism remains poorly understood. We report that FMRP deficiency results in hyperactivated nonsense-mediated mRNA decay (NMD)3,4 in human SH-SY5Y neuroblastoma cells and fragile X syndrome (FXS) fibroblast-derived induced pluripotent stem cells (iPSCs). We examined the underlying mechanism and found that the key NMD factor UPF1 binds directly to FMRP, promoting FMRP binding to NMD targets. Our data indicate that FMRP acts as an NMD repressor. In the absence of FMRP, NMD targets are relieved from FMRP-mediated translational repression so that their half-lives are decreased and, for those NMD targets encoding NMD factors, increased translation produces abnormally high factor levels despite their hyperactivated NMD. Transcriptome-wide alterations caused by NMD hyperactivation have a role in the FXS phenotype. Consistent with this, small-molecule-mediated inhibition of hyperactivated NMD, which typifies iPSCs derived from patients with FXS, restores a number of neurodifferentiation markers, including those not deriving from NMD targets. Our mechanistic studies reveal that many molecular abnormalities in FMRP-deficient cells are attributable-either directly or indirectly-to misregulated NMD.

Identification and analysis of short open reading frames (sORFs) in the initially annotated noncoding RNA LINC00493 from human cells.

Whole transcriptome analyses have revealed that mammalian genomes are massively transcribed, resulting in the production of huge numbers of transcripts with unknown functions (TUFs). Previous research has categorized most TUFs as noncoding RNAs (ncRNAs) because most previously studied TUFs do not encode open reading frames (ORFs) with biologically significant lengths [>100 amino acids (AAs)]. Recent studies, however, have reported that several transcripts harbouring small ORFs that encode peptides shorter than 100 AAs are translated and play important biological functions. Here, we examined the translational capacity of transcripts annotated as ncRNAs in human cells, and identified several hundreds of ribosome-associated transcripts previously annotated as ncRNAs. Ribosome footprinting and polysome profiling analyses revealed that 61 of them are potentially translatable. Among them, 45 were nonnonsense-mediated mRNA decay targets, suggesting that they are productive mRNAs. We confirmed the translation of one ncRNA, LINC00493, by luciferase reporter assaying and western blotting of a FLAG-tagged LINC00493 peptide. While proteomic analysis revealed that the LINC00493 peptide interacts with many mitochondrial proteins, immunofluorescence assays showed that its peptide is mitochondrially localized. Our findings indicate that some transcripts annotated as ncRNAs encode peptides and that unannotated peptides may perform important roles in cells.

Identification of novel heat shock-induced long non-coding RNA in human cells.

The heat-shock response is a crucial system for survival of organisms under heat stress. During heat-shock stress, gene expression is globally suppressed, but expression of some genes, such as chaperone genes, is selectively promoted. These selectively activated genes have critical roles in the heat-shock response, so it is necessary to discover heat-inducible genes to reveal the overall heat-shock response picture. The expression profiling of heat-inducible protein-coding genes has been well-studied, but that of non-coding genes remains unclear in mammalian systems. Here, we used RNA-seq analysis of heat shock-treated A549 cells to identify seven novel long non-coding RNAs that responded to heat shock. We focussed on CTD-2377D24.6 RNA, which is most significantly induced by heat shock, and found that the promoter region of CTD-2377D24.6 contains the binding site for transcription factor HSF1 (heat shock factor 1), which plays a central role in the heat-shock response. We confirmed that HSF1 knockdown cancelled the induction of CTD-2377D24.6 RNA upon heat shock. These results suggest that CTD-2377D24.6 RNA is a novel heat shock-inducible transcript that is transcribed by HSF1.

Systematic Analysis of Targets of Pumilio-Mediated mRNA Decay Reveals that PUM1 Repression by DNA Damage Activates Translesion Synthesis.

RNA-binding proteins (RBPs) play a pivotal role in gene expression by modulating the stability of transcripts. However, the identification of degradation target mRNAs of RBPs remains difficult. By the combined analysis of transcriptome-wide mRNA stabilities and the binding of mRNAs to human Pumilio 1 (PUM1), we identify 48 mRNAs that both bind to PUM1 and exhibit PUM1-dependent degradation. Analysis of changes in the abundance of PUM1 and its degradation target mRNAs in RNA-seq data indicate that DNA-damaging agents negatively regulate PUM1-mediated mRNA decay. Cells exposed to cisplatin have reduced PUM1 abundance and increased PCNA and UBE2A mRNAs encoding proteins involved in DNA damage tolerance by translesion synthesis (TLS). Cells overexpressing PUM1 exhibit impaired DNA synthesis and TLS and increased sensitivity to the cytotoxic effect of cisplatin. Thus, our method identifies target mRNAs of PUM1-mediated decay and reveals that cells respond to DNA damage by inhibiting PUM1-mediated mRNA decay to activate TLS.

5'-Bromouridine IP Chase (BRIC)-Seq to Determine RNA Half-Lives.

Analysis of RNA stability at genome-wide level is an advanced method in RNA biology that examines the half-life of each transcript. In particular, a pulse-labeling method using uridine analogs enables the determination of half-life of each transcript under physiologically undisturbed conditions. The technique involves pulse labeling of endogenous RNAs in mammalian cells with 5'-bromouridine (BrU), followed by measuring the chronological decrease of BrU-labeled RNAs using deep sequencing (BRIC-seq). Here, we describe a detailed protocol and technical tips for BRIC-seq.

Genome-wide analysis of long noncoding RNA turnover.

Genome-wide analysis for determining RNA turnover is an advanced method in RNA biology that examines the specific half-life of nuclear noncoding RNA (ncRNA). In particular, a pulse-labeling method using uridine analogs enables the determination of RNA stability under physiologically undisturbed conditions. The technique involves pulse labeling of endogenous RNAs in mammalian cells with 5'-bromo-uridine (BrU), followed by measuring the chronological decrease of BrU-labeled RNAs using deep sequencing. The method is called BrU immunoprecipitation chase assay (BRIC) or BRIC through deep sequencing (BRIC-seq). Here, we describe a detailed protocol and technical tips for BRIC-seq.