The snoRNA HBII-52 Regulates Alternative Splicing of the Serotonin Receptor 2C

Kishore, Shivendra; Stamm, Stefan

doi:10.1126/science.1118265

Cited by 624 publications

(600 citation statements)

References 15 publications

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“…Absolute numbers of RNAz hit sequences matching a particular interaction class and the respective fraction of total RNAz hit sequences (71970 true, 71968 random) are given. 2451 true and 3204 randomized RNAz hits have an interaction energy smaller than the median of shuffled RNAz hit -mRNA interaction energies and are not mentioned in the snoRNAs, which is in line with other reports that snoRNAs may play a role in mRNA modification (Kishore and Stamm, 2006).…”

Section: Interactions With Mrnassupporting

confidence: 77%

RNAs everywhere: genome‐wide annotation of structured RNAs

et al. 2006

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Starting with the discovery of microRNAs and the advent of genome-wide transcriptomics, non-protein-coding transcripts have moved from a fringe topic to a central field research in molecular biology. In this contribution we review the state of the art of "computational RNomics", i.e., the bioinformatics approaches to genomewide RNA annotation. Instead of rehashing results from recently published surveys Manuscript 21 April 2006in detail, we focus here on the open problem in the field, namely (functional) annotation of the plethora of putative RNAs. A series of exploratory studies are used to provide non-trivial examples for the discussion of some of the difficulties.

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Section: Interactions With Mrnassupporting

confidence: 77%

RNAs everywhere: genome‐wide annotation of structured RNAs

et al. 2006

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“…SnoRNAs similar to those in the GAS5 introns are involved in ribosomal RNA processing (Kiss, 2002), and may have other, as-yet undefined functions (Matera et al, 2007), which could account for the striking functional effects of GAS5 expression. For example, snoRNA HBII-52 regulates alternative splicing of serotonin receptor 2C (Kishore and Stamm, 2006), and other snoRNAs help to control RNA editing (Vitali and Cavaille, 2005).…”

Section: Discussionmentioning

confidence: 99%

GAS5, a non-protein-coding RNA, controls apoptosis and is downregulated in breast cancer

et al. 2008

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Effective control of both cell survival and cell proliferation is critical to the prevention of oncogenesis and to successful cancer therapy. Using functional expression cloning, we have identified GAS5 (growth arrest-specific transcript 5) as critical to the control of mammalian apoptosis and cell population growth. GAS5 transcripts are subject to complex post-transcriptional processing and some, but not all, GAS5 transcripts sensitize mammalian cells to apoptosis inducers. We have found that, in some cell lines, GAS5 expression induces growth arrest and apoptosis independently of other stimuli. GAS5 transcript levels were significantly reduced in breast cancer samples relative to adjacent unaffected normal breast epithelial tissues. The GAS5 gene has no significant protein-coding potential but expression encodes small nucleolar RNAs (snoRNAs) in its introns. Taken together with the recent demonstration of tumor suppressor characteristics in the related snoRNA U50, our observations suggest that such snoRNAs form a novel family of genes controlling oncogenesis and sensitivity to therapy in cancer.

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“…Interestingly, in addition to their function in ribosomal maturation, snoRNA species or their derivates have been implicated in processes associated with carcinogenesis, for example, alternative splicing events (Kishore and Stamm, 2006) and genomic imprinting (Royo et al, 2006). In PCa, snoRNA U50 has been reported to be a candidate tumor-suppressor gene and a mutation in its sequence has been associated with clinically significant disease (Dong et al, 2008).…”

Section: Discussionmentioning

confidence: 99%

Diagnostic and prognostic signatures from the small non-coding RNA transcriptome in prostate cancer

et al. 2011

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Prostate cancer (PCa) is the most frequent male malignancy and the second most common cause of cancer-related death in Western countries. Current clinical and pathological methods are limited in the prediction of postoperative outcome. It is becoming increasingly evident that small non-coding RNA (ncRNA) species are associated with the development and progression of this malignancy. To assess the diversity and abundance of small ncRNAs in PCa, we analyzed the composition of the entire small transcriptome by Illumina/ Solexa deep sequencing. We further analyzed the micro-RNA (miRNA) expression signatures of 102 fresh-frozen patient samples during PCa progression by miRNA microarrays. Both platforms were cross-validated by quantitative reverse transcriptase-PCR. Besides the altered expression of several miRNAs, our deep sequencing analyses revealed strong differential expression of small nucleolar RNAs (snoRNAs) and transfer RNAs (tRNAs). From microarray analysis, we derived a miRNA diagnostic classifier that accurately distinguishes normal from cancer samples. Furthermore, we were able to construct a PCa prognostic predictor that independently forecasts postoperative outcome. Importantly, the majority of miRNAs included in the predictor also exhibit high sequence counts and concordant differential expression in Illumina PCa samples, supported by quantitative reverse transcriptase-PCR. Our findings provide miRNA expression signatures that may serve as an accurate tool for the diagnosis and prognosis of PCa.

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The snoRNA HBII-52 Regulates Alternative Splicing of the Serotonin Receptor 2C

Cited by 624 publications

References 15 publications

RNAs everywhere: genome‐wide annotation of structured RNAs

RNAs everywhere: genome‐wide annotation of structured RNAs

GAS5, a non-protein-coding RNA, controls apoptosis and is downregulated in breast cancer

Diagnostic and prognostic signatures from the small non-coding RNA transcriptome in prostate cancer

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