The landscape of small nucleolar RNA expression in multiple myeloma is determined by cytogenetic alterations (snoRNA)
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE237998 | GEO | 2023/10/16
REPOSITORIES: GEO
Similar Datasets
Project description:We combined mRNA, small RNA and ribosome 2'O-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.
2023-10-16 | GSE237997 | GEO
Project description:Leukemogenesis requires enhanced self-renewal activity, which is induced by specific oncogenes. The underlying molecular mechanisms remain incompletely understood. We transduced mouse lineage negative bone marrow cells (enriched for hematopoietic stem and progenitor cells) with retrovirus expressing leukemic oncogene AML1-ETO9a, MYC and MLL-AF9 as well as empty vector (MIG). We found that all three oncogenes enhanced snoRNA formation. High abundance of snoRNAs was observed in primary human AML specimens with the notable exception of NPM1 mutant AML. Leukemogenesis by AML1-ETO required expression of the groucho related Amino Enhancer of Split (AES). AES functioned by inducing snoRNA/RNP formation via interaction with the RNA helicase DDX21. Similarly, loss of C/D box snoRNAs with concomitant loss of rRNA 2’-O-methylation resulted in decreased leukemia self-renewal potential.In summary, we identified C/D box snoRNAs and rRNA 2’-O-methylation as critical determinants of leukemic stem cell activity.
2017-06-20 | GSE80523 | GEO
Project description:The landscape of small nucleolar RNA expression in multiple myeloma is determined by cytogenetic alterations (snoRNA)
| PRJNA997356 | ENA
Project description:Small nucleolar RNAs (snoRNA) are non-coding RNAs known for guiding RNA modifications including 2ʹ-O-methylation (Nm) and pseudouridine (Ψ). While snoRNAs may also interact with other RNAs such as mRNA, the full repertoire of RNAs targeted by snoRNA remains elusive due to the lack of effective technologies that identify snoRNA targets transcriptome-wide. Here we develop a chemical crosslinking-based approach that comprehensively detects cellular RNA targets of snoRNAs, yielding thousands of previously unrecognized snoRNA-mRNA interactions in human cells and mouse brain tissues. Many interactions occur outside of snoRNA-guided rRNA modification sites, hinting at non-canonical functions beyond RNA modification. We find that one of these snoRNAs, SNORA73, targets mRNAs that encode secretory proteins and membrane proteins. SNORA73 also interacts with 7SL RNA, part of the signal recognition particle (SRP) required for protein secretion. The mRNA-SNORA73-7SL RNA interactions enhance the association of the SNORA73-target mRNAs with SRP, thereby facilitating secretion of the encoded proteins.
2024-11-21 | GSE261702 | 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.
2021-05-13 | GSE157846 | GEO
Project description:We show that in S. cerevisiae pre-snoRNA processing by the endonuclease Rnt1 occurs co-transcriptionally, removing the m7G cap to facilitate the formation of box C/D snoRNA. Failure to remove m7G cap from box C/D pre-snoRNA affects 3’ end processing, ribonucleoprotein complex formation and causes mislocalization to the cytoplasm. Consequently, Rnt1-dependent 5’ end processing of box C/D snoRNA is critical for snoRNA-dependent methylation of ribosomal RNA. Our results reveal that the 5’ end processing defines a distinct pathway for snoRNA maturation.
2018-04-23 | GSE93240 | GEO
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.
2013-05-08 | E-GEOD-43666 | biostudies-arrayexpress
Project description:The dynamic balance between tRNA supply and codon usage demand is a fundamental principle in the cellular translation economy. However, the regulation and functional consequences of this balance remain unclear. Here, we use PARIS2 interactome capture, structure modeling, conservation analysis, RNA–protein interaction analysis, and modification mapping to reveal the targets of hundreds of snoRNAs, many of which were previously considered orphans. We identify a snoRNA–tRNA interaction network that is required for global tRNA modifications, including 2′-O-methylation and others. Loss of Fibrillarin, the snoRNA-guided 2′-O-methyltransferase, induces global upregulation of tRNA fragments, a large group of regulatory RNAs. In particular, the snoRNAs D97/D133 guide the 2′-O-methylation of multiple tRNAs, especially for the amino acid methionine (Met), a protein-intrinsic antioxidant. Loss of D97/D133 snoRNAs in human HEK293 cells reduced target tRNA levels and induced codon adaptation of the transcriptome and translatome. Both D97/D133 single and double knockouts in HEK293 cells suppress Met-enriched proliferation-related gene expression programs, including, translation, splicing, and mitochondrial energy metabolism, and promote Met-depleted programs related to development, differentiation, and morphogenesis. In a mouse embryonic stem cell model of development, knockdown and knockout of D97/D133 promote differentiation to mesoderm and endoderm fates, such as cardiomyocytes, without compromising pluripotency, consistent with the enhanced development-related gene expression programs in human cells. This work solves a decade-old mystery about orphan snoRNAs and reveals a function of snoRNAs in controlling the codon-biased dichotomous cellular states of proliferation and development.
2023-09-21 | GSE234689 | GEO
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
2015-08-01 | E-GEOD-68377 | biostudies-arrayexpress
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