Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Next generation sequencing identifies discrete classes of box C/D snoRNAs featuring different ends and RNA binding protein dependency

ABSTRACT: The paired-end next-generation sequencing of all small RNAs of less than 200 nucleotides in length from four different human cell lines (SKOV3ip1, MCF-7, BJ-Tielf, INOF) allowed us to determine the exact sequence(s) and variations of human box C/D snoRNAs (small nucleolar RNAs), revealing processing patterns of this class of molecules. Two distinct groups of box C/D snoRNAs were identified based on the position of their ends with respect to their characteristic boxes and the terminal base pairing potential. Short box C/D snoRNAs start sharply 4 or 5 nucleotides upstream of their box C and end 2 or 3 nucleotides downstream of their box D. In contrast, long box C/D snoRNAs start 5 or 6 nucleotides upstream of their box C and end 4 or 5 nucleotides downstream of their box D, increasing the likelihood of formation of a k-turn between their boxes C and D. Sequencing of SKOV3ip1 cells following the depletions of NOP58, a core box C/D snoRNA-binding protein and of RBFOX2, a splicing factor, shows that the short box C/D snoRNA forms are significantly more affected by the depletion of RBFOX2 while the long snoRNA forms, which display more canonical box C/D snoRNA features, are significantly more affected by the depletion of NOP58. Together the data suggest that box C/D snoRNAs are divided into at least two groups of RNA with distinct maturation and functional preferences.

ORGANISM(S): Homo sapiens

PROVIDER: GSE55946 | GEO | 2014/07/01

SECONDARY ACCESSION(S): PRJNA241406

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Next generation sequencing identifies discrete classes of box C/D snoRNAs featuring different ends and RNA binding protein dependency

Project description:The paired-end next-generation sequencing of all small RNAs of less than 200 nucleotides in length from four different human cell lines (SKOV3ip1, MCF-7, BJ-Tielf, INOF) allowed us to determine the exact sequence(s) and variations of human box C/D snoRNAs (small nucleolar RNAs), revealing processing patterns of this class of molecules. Two distinct groups of box C/D snoRNAs were identified based on the position of their ends with respect to their characteristic boxes and the terminal base pairing potential. Short box C/D snoRNAs start sharply 4 or 5 nucleotides upstream of their box C and end 2 or 3 nucleotides downstream of their box D. In contrast, long box C/D snoRNAs start 5 or 6 nucleotides upstream of their box C and end 4 or 5 nucleotides downstream of their box D, increasing the likelihood of formation of a k-turn between their boxes C and D. Sequencing of SKOV3ip1 cells following the depletions of NOP58, a core box C/D snoRNA-binding protein and of RBFOX2, a splicing factor, shows that the short box C/D snoRNA forms are significantly more affected by the depletion of RBFOX2 while the long snoRNA forms, which display more canonical box C/D snoRNA features, are significantly more affected by the depletion of NOP58. Together the data suggest that box C/D snoRNAs are divided into at least two groups of RNA with distinct maturation and functional preferences. Small RNAs (<200 nucleotides) were isolated from different human cell lines that were either untreated or depleted of NOP58 or RBFOX2 using specific siRNAs. The resulting libraries were multiplexed and paired-end sequenced using Illumina HiSeq.

2014-07-01 | E-GEOD-55946 | biostudies-arrayexpress

Insights into snoRNA biogenesis and processing from PAR-CLIP of snoRNA core proteins and small RNA sequencing

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

Insights into snoRNA biogenesis and processing from PAR-CLIP of snoRNA core proteins and small RNA sequencing

2013-05-08 | GSE43666 | GEO

NUCLEAR FATE OF YEAST SNORNA IS DETERMINED BY COTRANSCRIPTIONAL RNT1 CLEAVAGE

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

Expression data from AML1-ETO9a mouse primary leukemia blast

Project description:Microarray gene profilling indentified snoRNAs are downstream target of Amino Enhancer of Split (AES) and are essential for AML1-ETO9a induced leukemia. Amino Enhancer of Split (Aes) is strongly induced by leukemia oncogenes AML1-ETO, PML-RARα and PLZF-RARα. With a conditional AES knockout mouse model we showed that AES is essential for AML1-ETO9a indeced leukemia. We performed gene expression microarray using mouse primary AML1-ETO9a transformed AES wildtype and knockout and showed that snoRNAs were downregulated in AES knockout cells. We found that SnoRNA induction is a common mechanism shared by distinct oncogenes including AML1-ETO, MYC and MLL-AF9. Suppression of C/D box snoRNA complexes or deletion of several single C/D box snoRNAs inhibit clonogenic growth of leukemia cells. These findings suggest that enhancement of snoRNA levels is a critical mechanism of leukemic transformation.

2017-06-20 | GSE80579 | GEO

Regulated snoRNA expression during differentiation corresponds with a change in ribosomal RNA pseudouridylation and altered pre-ribosomal RNA processing [RNA-seq and ncRNA-seq]

Project description:H/ACA small nucleolar RNAs (snoRNAs) guide pseudouridylation as part of a small nucleolar ribonucleoprotein complex (snoRNP). Disruption of H/ACA snoRNA expression in stem cells impairs pluripotency, yet it remains unclear how H/ACA snoRNAs contribute to differentiation. To determine if H/ACA snoRNA expression is dynamic during differentiation, we comprehensively profiled H/ACA snoRNA expression in multiple murine cell types and during differentiation in three cellular models, including mouse embryonic stem cells and mouse myoblasts. We determined that H/ACA snoRNA expression is cell-type specific, and we identified a subset of snoRNAs that are specifically regulated during differentiation. Additionally, we demonstrated that a decrease in Snora27 expression upon differentiation corresponds to a decrease in pseudouridylation of its target site within the E-site transfer RNA (tRNA) binding region of the 28S ribosomal RNA (rRNA) in the large ribosomal subunit. Many of the snoRNAs regulated during differentiation have target nucleotides in the 28S rRNA, and we found that pre-rRNA processing of large subunit precursors is altered during differentiation. Together, these data suggest a model in which H/ACA snoRNAs are specifically regulated during differentiation to potentially alter pseudouridylation and fine tune ribosome function.

2020-07-09 | GSE139812 | GEO

Regulated snoRNA expression during differentiation corresponds with a change in ribosomal RNA pseudouridylation and altered pre-ribosomal RNA processing [Nano77]

2020-07-09 | GSE140622 | GEO

Regulated snoRNA expression during differentiation corresponds with a change in ribosomal RNA pseudouridylation and altered pre-ribosomal RNA processing [Nano104]

2020-07-09 | GSE140618 | GEO

Expression profile of small nucleolar RNA (snoRNA) in acute myeloid leukemia.

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

Expression data from splenic B-cells isolated from DmU50(HG-b) mice or wild-type C57BL/6J

Project description:Box C/D-type small nucleolar RNAs (snoRNAs) are functional RNAs responsible for mediating 2’-O-ribose methylation of ribosomal RNAs (rRNAs) within the nucleolus. Previously, in relation to a novel chromosomal translocation in a human B-cell lymphoma, we identified U50HG, a non-protein-coding gene that hosted a box C/D-type U50 snoRNA within its intron. To investigate the physiological importance of the U50 snoRNA and its involvement in tumorigenesis, we generated a mouse model deficient in mouse U50 (mU50) snoRNA expression without altering the expression of mouse mU50 host-gene, mU50HG-b. The established mU50 snoRNA-deficient mice showed a significant reduction of mU50 snoRNA expression and the corresponding target rRNA methylation in various organs. Lifelong phenotypic monitoring showed that the mU50-deficient mice looked almost normal without accelerated tumorigenicity; however, a notable difference was the propensity for anomalies in the lymphoid organs. B-cells were isolated from spleens of DmU50(HG-b) mice or wild-type C57BL/6J with antibody-conjugated magnetic beads system (Myltenyi Biotec). Total RNA was purified with QIAGEN RNeasy Micro kit. Affymetrix GeneChip® Microarrays (Mouse Expression 430 2.0 Array) were used.

2013-03-26 | E-GEOD-41164 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data