Annotation of snoRNA abundance across human tissues reveals complex snoRNA-host gene relationships
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ABSTRACT:
PROVIDER: PRJNA662957 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12625569_1.fastq.gz | Fastqsanger.gz | |||
| SRR12625569_2.fastq.gz | Fastqsanger.gz | |||
| SRR12625570_1.fastq.gz | Fastqsanger.gz | |||
| SRR12625570_2.fastq.gz | Fastqsanger.gz | |||
| SRR12625571_1.fastq.gz | Fastqsanger.gz |
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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:BackgroundSmall 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.ResultsWe 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. Fifty-nine percent 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.ConclusionsOur 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.
| S-EPMC8176728 | biostudies-literature
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.
2019-09-04 | GSE136745 | 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:Comparison of mRNA transcriptome after differential expression of U17 snoRNA. We hypothesiaed that if U17 snoRNA regulates cholesterol homeostasis by modulating the expression of target mRNAs, genes that are differentially expressed by the loss-of-function or gain-of-function of U17 snoRNA would be candidate U17 targets. Results revealed negative regulation of target genes by U17 snoRNA, in which increasing dosage of U17 snoRNA from U17 knockdown to WT to U17 overexpression lead to decreases in target levels. Total RNA were isolated by TRIzol reagent (Invitrogen) from WT, U17 snoRNA KD (ShSnhg3 stable clone), and U17 snoRNA OE (pMDβglobinU17b stable clone) cells grown in LPDS media for 24 hours.
2015-04-04 | E-GEOD-67569 | biostudies-arrayexpress
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: 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.
2013-05-08 | GSE43666 | GEO
Project description:SnoRNA-facilitated protein secretion revealed by transcriptome-wide snoRNA target identification
| PRJNA1088448 | ENA
Project description:Ribosome biosynthesis plays a crucial role in regulating protein translation and is essential for cell growth and development in physiological progress. The progression and recurrence of Pterygia mainly occur due to the abnormal proliferation and migration of stromal Pterygia fibroblasts. Small nucleolar RNA U3 (U3 snoRNA), harboring the atypical C/D boxes, is involved in 18S ribosomal RNA (18S rRNA) synthesis; however, the mechanism of U3 snoRNA in Pterygia remains unclear. Methods: Primary HCFs and HPFs were separated and cultured from fresh conjunctival grafts and Pterygia tissues. The PLKO.1 lentiviral system and CRISPR/Cas9 recombinant construct were, respectively, used to overexpress and silence U3 snoRNA in HPF and HCF cells for further specific phenotypes analysis. RNA-seq and TMT-labeled quantitative protein mass spectrometry were utilized to evaluate the effect of U3 snoRNA on mRNA transcripts and protein synthesis. Results: Reduced U3 snoRNA in Pterygia promotes HCF or HPF cells' proliferation, migration, and cell cycle but has no significant effect on apoptosis. U3 snoRNA modulates 18S rRNA synthesis through shearing precursor ribosomal RNA 47S rRNA at the 5′ external transcribed spacer (5′ ETS). Moreover, the altered U3 snoRNA causes mRNA and protein differential expression in HCF or HPF cells. Conclusion: The atypical U3 snoRNA regulates the translation of specific proteins to exert a suppressive function in Pterygia through modulating the 18S RNA synthesis. Here, we uncover a novel insight into U3 snoRNA biology in the development of Pterygia.
2022-05-20 | PXD030801 | Pride
Project description:Comparison of mRNA transcriptome after differential expression of U17 snoRNA. We hypothesiaed that if U17 snoRNA regulates cholesterol homeostasis by modulating the expression of target mRNAs, genes that are differentially expressed by the loss-of-function or gain-of-function of U17 snoRNA would be candidate U17 targets. Results revealed negative regulation of target genes by U17 snoRNA, in which increasing dosage of U17 snoRNA from U17 knockdown to WT to U17 overexpression lead to decreases in target levels.
2015-04-04 | GSE67569 | GEO