Effects of the Paf1 complex and histone modifications on snoRNA 3'-end formation reveal broad and locus-specific regulation.
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ABSTRACT:
ORGANISM(S): Saccharomyces cerevisiae
SUBMITTER: Lawrence Heisler
PROVIDER: E-MTAB-1342 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Box C/D small nucleolar RNAs (snoRNAs) are a conserved class of RNA known for their role in guiding ribosomal RNA 2’-O-ribose methylation through base pairing with targeted sequences. Recently, C/D snoRNAs were also implicated in regulating the expression of non-ribosomal genes through different modes of binding. Large scale RNA-RNA interaction datasets detect many snoRNAs binding messenger RNA. However, these studies provide a narrow portrait of snoRNA targets forming under specific experimental conditions. To enable a more comprehensive study of C/D snoRNA interactions, we created snoGloBe, a human C/D snoRNA machine learning interaction predictor based on a gradient boosting classifier. SnoGloBe considers the target type, and position and sequence of the interactions, enabling it to outperform existing predictors. Interestingly, for specific snoRNAs, snoGloBe identifies strong enrichment of interactions near gene expression regulatory elements including splice sites. Abundance and splicing of predicted targets were altered upon the knockdown of their associated snoRNA. Strikingly, the predicted snoRNA interactions often overlap with the binding sites of functionally related RNA binding proteins, reinforcing their role in gene expression regulation. The interactions of snoRNAs are not randomly distributed but often accumulate in functionally related transcripts sharing common regulatory elements suggesting coordinated regulatory function. The wide scope of snoGloBe makes it an excellent tool for discovering viral RNA targets, which is evident from its capacity to identify snoRNAs targeting SARS-CoV-2 RNA, known to be heavily methylated. Overall, snoGloBe is capable of identifying experimentally validated binding sites and predicting novel sites with shared regulatory function.
2022-05-18 | GSE184173 | GEO
Project description:Background: Small nucleolar RNAs (snoRNAs) are mid-size non-coding RNAs required for ribosomal RNA modification, implying a ubiquitous tissue distribution linked to ribosome synthesis. However, increasing numbers of studies identify extra-ribosomal roles of snoRNAs in modulating gene expression, suggesting more complex snoRNA abundance patterns. Therefore, there is a great need for mapping the snoRNome in different human tissues as the blueprint for snoRNA functions. Results: We used a low structure bias RNA-Seq approach to accurately quantify snoRNAs and compare them to the entire transcriptome in seven healthy human tissues (breast, ovary, prostate, testis, skeletal muscle, liver and brain). We identify 475 expressed snoRNAs categorized in two abundance classes that differ significantly in their function, conservation level and correlation with their host gene: 390 snoRNAs are uniformly expressed and 85 are enriched in the brain or reproductive tissues. Most tissue-enriched snoRNAs are embedded in lncRNAs and display strong correlation of abundance with them, whereas uniformly expressed snoRNAs are mostly embedded in protein-coding host genes and are mainly non- or anticorrelated with them. 59% of the non-correlated or anticorrelated protein-coding host gene/snoRNA pairs feature dual-initiation promoters, compared to only 16% of the correlated non-coding host gene/snoRNA pairs. Conclusions: Our results demonstrate that snoRNAs are not a single homogeneous group of housekeeping genes but include highly regulated tissue-enriched RNAs. Indeed, our work indicates that the architecture of snoRNA host genes varies to uncouple the host and snoRNA expressions in order to meet the different snoRNA abundance levels and functional needs of human tissues.
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Project description:Background: In recent years, a variety of small RNAs derived from other RNAs with well-known functions such as tRNAs and snoRNAs, have been identified. The functional relevance of these RNAs is largely unknown. To gain insight into the complexity of snoRNA processing and the functional relevance of snoRNA-derived small RNAs, we sequenced long and short RNAs, small RNAs that co-precipitate with the Argonaute 2 protein and RNA fragments obtained in photoreactive nucleotide-enhanced crosslinking and immunoprecipitation (PAR-CLIP) of core snoRNA-associated proteins. Results: Analysis of these data sets revealed that many loci in the human genome reproducibly give rise to C/D box-like snoRNAs, whose expression and evolutionary conservation are typically less pronounced relative to the snoRNAs that are currently catalogued. We further found that virtually all C/D box snoRNAs are specifically processed inside the regions of terminal complementarity, retaining in the mature form only 4-5 nucleotides upstream of the C box and 2-5 nucleotides downstream of the D box. Sequencing of the total and Argonaute 2-associated populations of small RNAs revealed that despite their cellular abundance, C/D box-derived small RNAs are not efficiently incorporated into the Ago2 protein. Conclusions: We conclude that the human genome encodes a large number of snoRNAs that are processed along the canonical pathway and expressed at relatively low levels. Generation of snoRNA-derived processing products with alternative, particularly miRNA-like, functions appears to be uncommon. PAR-CLIP profiling for snoRNP core proteins NOP56, NOP58, Fibrillarin, and Dyskerin in HEK293 cells. Small RNA profiling using RNA-seq in HEK293 and HeLa cells, small RNA profiling using IP-seq of Ago2 associated small RNAs.
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Project description:We evaluated the profile of miRNA and snoRNA expression in 7 solitary CRC and matched normal colorectal tissues using the Affymetrix GeneChip miRNA 1.0 array. We found that global dysregulated miRNAs and snoRNAs between cancer tissue and normal mucosa in solitary CRC. Our findings firstly implicates that dysregulation of snoRNAs and miRNA may play important role in the cancinogenesis and present therapeutic targets for solitary CRC. Examination of microRNA and snoRNA expression in cancer and matched normal tissues of solitary CRC
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Project description:Background: In recent years, a variety of small RNAs derived from other RNAs with well-known functions such as tRNAs and snoRNAs, have been identified. The functional relevance of these RNAs is largely unknown. To gain insight into the complexity of snoRNA processing and the functional relevance of snoRNA-derived small RNAs, we sequenced long and short RNAs, small RNAs that co-precipitate with the Argonaute 2 protein and RNA fragments obtained in photoreactive nucleotide-enhanced crosslinking and immunoprecipitation (PAR-CLIP) of core snoRNA-associated proteins. Results: Analysis of these data sets revealed that many loci in the human genome reproducibly give rise to C/D box-like snoRNAs, whose expression and evolutionary conservation are typically less pronounced relative to the snoRNAs that are currently catalogued. We further found that virtually all C/D box snoRNAs are specifically processed inside the regions of terminal complementarity, retaining in the mature form only 4-5 nucleotides upstream of the C box and 2-5 nucleotides downstream of the D box. Sequencing of the total and Argonaute 2-associated populations of small RNAs revealed that despite their cellular abundance, C/D box-derived small RNAs are not efficiently incorporated into the Ago2 protein. Conclusions: We conclude that the human genome encodes a large number of snoRNAs that are processed along the canonical pathway and expressed at relatively low levels. Generation of snoRNA-derived processing products with alternative, particularly miRNA-like, functions appears to be uncommon.
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Project description:We evaluated the profile of miRNA and snoRNA expression in 5 synchronous CRC and matched normal colorectal tissues using the Affymetrix GeneChip miRNA 1.0 array. A total of 24 miRNA differential expressed transcripts which represent 27 mature miRNAs, including an oncogenic miR-17-92a and oncosuppressive miR-143-145 cluster, and a global up-regulation of snoRNAs were revealed in cancer tissues compared with matched normal tissues. Global miRNA expression could distinguish synchronous cancer from normal mucosa. Our findings represent the first comprehensive miRNA and snoRNA expression signatures for synchronous CRC, which increase the understanding of the molecular basis of synchronous CRC, and firstly implicate that dysregulation of snoRNAs and miRNA clusters may present therapeutic targets for synchronous CRC. Examination of microRNA and snoRNA expression in synchronous CRC and matched normal colorectal tissues
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Project description:This study aimed to determine whether the spaceflight-induced snoRNA changes in plasma extracellular vesicles (EV) and astronauts' peripheral blood mononuclear cells (PBMCs) can be utilized as potential biomarkers. Using unbiased small RNA sequencing, we evaluated the EV snoRNA changes in peripheral blood (PB) plasma of astronauts (n=5/group) who underwent median 12-day long Shuttle missions between 1998-2001. Using stringent cutoff (> log 2-fold change, FDR < 0.05), we detected 21 down-regulated snoRNAs and 9 upregulated in PB-EVs at three days after return (R+3) compared to ten days before launch (L-10). Our findings unveiled that spaceflight induced changes in EV and PBMCs snoRNA expression, thus suggesting snoRNAs may serve as novel biomarkers for monitoring astronauts' health.
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Project description:small RNA seq form Hek 293 using IonTorrent Sequencing; To assess the general expression of snoRNA derived miRNA like fragments in Hek293. Three independent small RNA libraries were sequenced, aligned and subset for snoRNA (C/D, H/ACA, Small Cajal bodies); analysis of read-length for individual snoRNAs was used to define fragments, then to define coherent processing or degradation of the fragments the location of individual reads over the snoRNA annotation was define.
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Project description:We combined mRNA, small RNA and ribosome methylation sequencing to investigate snoRNA expression patterns in multiple myeloma and their association with different chromosomal aberrations. We identified snoRNAs dysregulated in molecular subgroups, with SNORD78 being highly expressed in gain1q patients and associated with poor prognosis. Our study shows that the expression of particular snoRNAs and methylation of specific snoRNA-guided rRNA sites are associated with specific chromosome gains, which are common elements in multiple myeloma.
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