We have previously reported an antisense technology, 'snoMEN vectors', for targeted knock-down of protein coding mRNAs using human snoRNAs manipulated to contain short regions of sequence complementarity with the mRNA target. Here we characterise the use of snoMEN vectors to target the knock-down of micro RNA primary transcripts. We document the specific knock-down of miR21 in HeLa cells using plasmid vectors expressing miR21-targeted snoMEN RNAs and show this induces apoptosis. Knock-down is dependent on the presence of complementary sequences in the snoMEN vector and the induction of apoptosis can be suppressed by over-expression of miR21. Furthermore, we have also developed lentiviral vectors for delivery of snoMEN RNAs and show this increases the efficiency of vector transduction in many human cell lines that are difficult to transfect with plasmid vectors. Transduction of lentiviral vectors expressing snoMEN targeted to pri-miR21 induces apoptosis in human lung adenocarcinoma cells, which express high levels of miR21, but not in human primary cells. We show that snoMEN-mediated suppression of miRNA expression is prevented by siRNA knock-down of Ago2, but not by knock-down of Ago1 or Upf1. snoMEN RNAs colocalise with Ago2 in cell nuclei and nucleoli and can be co-immunoprecipitated from nuclear extracts by antibodies specific for Ago2.

The study of the function of many human proteins is often hampered by technical limitations, such as cytotoxicity and phenotypes that result from overexpression of the protein of interest together with the endogenous version. Here we present the snoMEN (snoRNA Modulator of gene ExpressioN) vector technology for generating stable cell lines where expression of the endogenous protein can be reduced and replaced by an exogenous protein, such as a fluorescent protein (FP)-tagged version. SnoMEN are snoRNAs engineered to contain complementary sequences that can promote knock-down of targeted RNAs. We have established and characterised two such partial protein replacement human cell lines (snoMEN-PR). Quantitative mass spectrometry was used to analyse the specificity of knock-down and replacement at the protein level and also showed an increased pull-down efficiency of protein complexes containing exogenous, tagged proteins in the protein replacement cell lines, as compared with conventional co-expression strategies. The snoMEN approach facilitates the study of mammalian proteins, particularly those that have so far been difficult to investigate by exogenous expression and has wide applications in basic and applied gene-expression research.

We have identified the human FMN2 gene as a novel target regulated by induction of p14ARF and by multiple other stress responses, including DNA damage and hypoxia, which have in common activation of cell cycle arrest. We showed that increased expression of the FMN2 gene following p14ARF induction is caused, at the transcriptional level, by relief of repression by RelA and E2F1, which, under non-induced conditions, bind the FMN2 promoter. Increased FMN2 protein levels promote cell cycle arrest by inhibiting the degradation of p21, and our data show that control of p21 stability is a key part of the mechanism that regulates p21 induction. Consistent with this model, we have shown that transient expression of exogenous FMN2 protein alone is sufficient to increase p21 protein levels in cells, without altering p21 mRNA levels. Here, we provide additional evidence for the role of the N terminus of FMN2 as being the important domain required for p21 stability. In addition, we also investigate the role of RelA's threonine 505 residue in the control of FMN2. Our results identify FMN2 as a crucial protein involved in the control of p21.

Human small nucleolar RNAs (snoRNAs) that copurify with nucleoli isolated from HeLa cells have been characterized. Novel fibrillarin-associated snoRNAs were detected that allowed the creation of a new vector system for the targeted knockdown of one or more genes in mammalian cells. The snoMEN (snoRNA modulator of gene expressioN) vector technology is based on snoRNA HBII-180C, which contains an internal sequence that can be manipulated to make it complementary to RNA targets. Gene-specific knockdowns are demonstrated for endogenous cellular proteins and for G/YFP-fusion proteins. Multiplex snoMEN vectors coexpress multiple snoRNAs in one transcript, targeted either to different genes or to different sites in the same gene. Protein replacement snoMEN vectors can express a single transcript combining cDNA for a tagged protein with introns containing cognate snoRNAs targeted to knockdown the endogenous cellular protein. We foresee applications for snoMEN vectors in basic gene expression research, target validation, and gene therapy.

Autophagy has both tumor-promoting and -suppressing effects in cancer, including colorectal cancer (CRC), with transformed cells often exhibiting high autophagic flux. In established tumors, autophagy inhibition can lead to opposite responses resulting in either tumor cell death or hyperproliferation. The functional mechanisms underlying these differences are poorly understood. The present study aimed to investigate the relationship between the autophagic capacities of CRC cells and their sensitivities to autophagy inhibition. All studied CRC cell lines showed high basal autophagic flux. However, only HCT116 and Caco-2/15 cells displayed regulated autophagic flux upon starvation. Knockdown of ATG5 (which disrupts autophagosome elongation) or RAB21 (which decreases autophagosome/lysosome fusion) had little effect on CRC cell proliferation in vitro. Nonetheless, inhibition of autophagy in vivo had a substantial cell line-dependent impact on tumor growth, with some cells displaying decreased (HCT116 and Caco-2/15) or increased (SW480 and LoVo) proliferation. RNA sequencing and Western blot analyses in hyperproliferative SW480 tumors revealed that the mTORC2 and AKT pathways were hyperactivated following autophagy impairment. Inhibition of either mTOR or AKT activities rescued the observed hyperproliferation in autophagy-inhibited SW480 and reduced tumor growth. These results highlight that autophagy inhibition can lead, in specific cellular contexts, to compensatory mechanisms promoting tumor growth.

Stress hormones bind and activate the glucocorticoid receptor (GR) in many tissues including the brain. We identified arginine and glutamate rich 1 (ARGLU1) in a screen for new modulators of glucocorticoid signaling in the CNS. Biochemical studies show that the glutamate rich C-terminus of ARGLU1 coactivates multiple nuclear receptors including the glucocorticoid receptor (GR) and the arginine rich N-terminus interacts with splicing factors and binds to RNA. RNA-seq of neural cells depleted of ARGLU1 revealed significant changes in the expression and alternative splicing of distinct genes involved in neurogenesis. Loss of ARGLU1 is embryonic lethal in mice, and knockdown in zebrafish causes neurodevelopmental and heart defects. Treatment with dexamethasone, a GR activator, also induces changes in the pattern of alternatively spliced genes, many of which were lost when ARGLU1 was absent. Importantly, the genes found to be alternatively spliced in response to glucocorticoid treatment were distinct from those under transcriptional control by GR, suggesting an additional mechanism of glucocorticoid action is present in neural cells. Our results thus show that ARGLU1 is a novel factor for embryonic development that modulates basal transcription and alternative splicing in neural cells with consequences for glucocorticoid signaling.

The snoMEN (snoRNA Modulator of gene ExpressioN) vector technology was developed from a human box C/D snoRNA, HBII-180C, which contains an internal sequence that can be manipulated to make it complementary to RNA targets, allowing knock-down of targeted genes. Here we have screened additional human nucleolar snoRNAs and assessed their application for gene specific knock-downs to improve the efficiency of snoMEN vectors. We identify and characterise a new snoMEN vector, termed 47snoMEN, that is derived from box C/D snoRNA U47, demonstrating its use for knock-down of both endogenous cellular proteins and G/YFP-fusion proteins. Using multiplex 47snoMEM vectors that co-express multiple 47snoMEN in a single transcript, each of which can target different sites in the same mRNA, we document >3-fold increase in knock-down efficiency when compared with the original HBII-180C based snoMEN. The multiplex 47snoMEM vector allowed the construction of human protein replacement cell lines with improved efficiency, including the establishment of novel GFP-HIF-1α replacement cells. Quantitative mass spectrometry analysis confirmed the enhanced efficiency and specificity of protein replacement using the 47snoMEN-PR vectors. The 47snoMEN vectors expand the potential applications for snoMEN technology in gene expression studies, target validation and gene therapy.

Small nucleolar RNAs (snoRNAs) function mainly as guides for the post-transcriptional modification of ribosomal RNAs (rRNAs). In recent years, several studies have identified a wealth of small fragments (<35 nt) derived from snoRNAs (termed sdRNAs) that stably accumulate in the cell, some of which may regulate splicing or translation. A comparison of human small RNA deep sequencing data sets reveals that box C/D sdRNA accumulation patterns are conserved across multiple cell types although the ratio of the abundance of different sdRNAs from a given snoRNA varies. sdRNA profiles of many snoRNAs are specific and resemble the cleavage profiles of miRNAs. Many do not show characteristics of general RNA degradation, as seen for the accumulation of small fragments derived from snRNA or rRNA. While 53% of the sdRNAs contain an snoRNA box C motif and boxes D and D' are also common in sdRNAs (54%), relatively few (12%) contain a full snoRNA guide region. One box C/D snoRNA, HBII-180C, was analysed in greater detail, revealing the presence of C' box-containing sdRNAs complementary to several pre-messenger RNAs (pre-mRNAs) including FGFR3. Functional analyses demonstrated that this region of HBII-180C can influence the alternative splicing of FGFR3 pre-mRNA, supporting a role for some snoRNAs in the regulation of splicing.

Yeast cells lacking Ctf18, the major subunit of an alternative Replication Factor C complex, have multiple problems with genome stability. To understand the in vivo function of the Ctf18 complex, we analyzed chromatin composition in a ctf18Δ mutant using the quantitative proteomic technique of stable isotope labeling by amino acids in cell culture. Three hundred and seven of the 491 reported chromosomal proteins were quantitated. The most marked abnormalities occurred when cells were challenged with the replication inhibitor hydroxyurea. Compared with wild type, hydroxyurea-treated ctf18Δ cells exhibited increased chromatin association of replisome progression complex components including Cdc45, Ctf4, and GINS complex subunits, the polymerase processivity clamp PCNA and the single-stranded DNA-binding complex RPA. Chromatin composition abnormalities observed in ctf18Δ cells were very similar to those of an mrc1Δ mutant, which is defective in the activating the Rad53 checkpoint kinase in response to DNA replication stress. We found that ctf18Δ cells are also defective in Rad53 activation, revealing that the Ctf18 complex is required for engagement of the DNA replication checkpoint. Inappropriate initiation of replication at late origins, because of loss of the checkpoint, probably causes the elevated level of chromatin-bound replisome proteins in the ctf18Δ mutant. The role of Ctf18 in checkpoint activation is not shared by all Replication Factor C-like complexes, because proteomic analysis revealed that cells lacking Elg1 (the major subunit of a different Replication Factor C-like complex) display a different spectrum of chromatin abnormalities. Identification of Ctf18 as a checkpoint protein highlights the usefulness of chromatin proteomic analysis for understanding the in vivo function of proteins that mediate chromatin transactions.

The study of RNA expression is the fastest growing area of genomic research. However, despite the dramatic increase in the number of sequenced transcriptomes, we still do not have accurate estimates of the number and expression levels of non-coding RNA genes. Non-coding transcripts are often overlooked due to incomplete genome annotation. In this study, we use annotation-independent detection of RNA reads generated using a reverse transcriptase with low structure bias to identify non-coding RNA. Transcripts between 20 and 500 nucleotides were filtered and crosschecked with non-coding RNA annotations revealing 111 non-annotated non-coding RNAs expressed in different cell lines and tissues. Inspecting the sequence and structural features of these transcripts indicated that 60% of these transcripts correspond to new snoRNA and tRNA-like genes. The identified genes exhibited features of their respective families in terms of structure, expression, conservation and response to depletion of interacting proteins. Together, our data reveal a new group of RNA that are difficult to detect using standard gene prediction and RNA sequencing techniques, suggesting that reliance on actual gene annotation and sequencing techniques distorts the perceived architecture of the human transcriptome.

Comparing the abundance of one RNA molecule to another is crucial for understanding cellular functions but most sequencing techniques can target only specific subsets of RNA. In this study, we used a new fragmented ribodepleted TGIRT sequencing method that uses a thermostable group II intron reverse transcriptase (TGIRT) to generate a portrait of the human transcriptome depicting the quantitative relationship of all classes of nonribosomal RNA longer than 60 nt. Comparison between different sequencing methods indicated that FRT is more accurate in ranking both mRNA and noncoding RNA than viral reverse transcriptase-based sequencing methods, even those that specifically target these species. Measurements of RNA abundance in different cell lines using this method correlate with biochemical estimates, confirming tRNA as the most abundant nonribosomal RNA biotype. However, the single most abundant transcript is 7SL RNA, a component of the signal recognition particle. Structured noncoding RNAs (sncRNAs) associated with the same biological process are expressed at similar levels, with the exception of RNAs with multiple functions like U1 snRNA. In general, sncRNAs forming RNPs are hundreds to thousands of times more abundant than their mRNA counterparts. Surprisingly, only 50 sncRNA genes produce half of the non-rRNA transcripts detected in two different cell lines. Together the results indicate that the human transcriptome is dominated by a small number of highly expressed sncRNAs specializing in functions related to translation and splicing.

There are two main classes of small nucleolar RNAs (snoRNAs): the box C/D snoRNAs and the box H/ACA snoRNAs that function as guide RNAs to direct sequence-specific modification of rRNA precursors and other nucleolar RNA targets. A previous computational and biochemical analysis revealed a possible evolutionary relationship between miRNA precursors and some box H/ACA snoRNAs. Here, we investigate a similar evolutionary relationship between a subset of miRNA precursors and box C/D snoRNAs. Computational analyses identified 84 intronic miRNAs that are encoded within either box C/D snoRNAs, or in precursors showing similarity to box C/D snoRNAs. Predictions of the folded structures of these box C/D snoRNA-like miRNA precursors resemble the structures of known box C/D snoRNAs, with the boxes C and D often in close proximity in the folded molecule. All five box C/D snoRNA-like miRNA precursors tested (miR-27b, miR-16-1, mir-28, miR-31 and let-7g) bind to fibrillarin, a specific protein component of functional box C/D snoRNP complexes. The data suggest that a subset of small regulatory RNAs may have evolved from box C/D snoRNAs.

The ARF tumor suppressor is a central component of the cellular defense against oncogene activation in mammals. p14ARF activates p53 by binding and inhibiting HDM2, resulting, inter alia, in increased transcription and expression of the cyclin-dependent kinase inhibitor p21 and consequent cell-cycle arrest. We analyzed the effect of p14ARF induction on nucleolar protein dynamics using SILAC mass spectrometry and have identified the human Formin-2 (FMN2) protein as a component of the p14ARF tumor suppressor pathway. We show that FMN2 is increased upon p14ARF induction at both the mRNA and the protein level via a NF-κB-dependent mechanism that is independent of p53. FMN2 enhances expression of the cell-cycle inhibitor p21 by preventing its degradation. FMN2 is also induced by activation of other oncogenes, hypoxia, and DNA damage. These results identify FMN2 as a crucial component in the regulation of p21 and consequent oncogene/stress-induced cell-cycle arrest in human cells.

Next-generation sequencing techniques revolutionized the study of RNA expression by permitting whole transcriptome analysis. However, sequencing reads generated from nested and multi-copy genes are often either misassigned or discarded, which greatly reduces both quantification accuracy and gene coverage.