Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Dicer-microRNA-Myc circuit promotes transcription of hundreds of long noncoding RNAs

ABSTRACT: Long noncoding RNAs (lncRNAs) are important regulators of cell fate, and their mis-expression has been implicated in many diseases. While distinct polymerases generate messenger vs. noncoding ribosomal or tRNAs3, little is known about distinct mechanisms controlling lncRNA expression. Here we show that transcription of lncRNAs is quantitatively different from that of messenger RNAs (mRNAs)--as revealed by deficiency of Dicer (Dcr), a key ribonuclease that generates microRNAs (miRNAs). Loss of Dcr in mouse embryonic stem cells (mESCs) led surprisingly to decreased level of the majority of lncRNAs. The canonical Dgcr8-Dcr-miRNA pathway is required for robust lncRNA expression, at the level of transcriptional initiation and elongation of lncRNA genes rather than at the level of their stability. cMyc, an oncogenic transcription factor, whose expression is indirectly regulated by Dcr-miRNA in mESCs, is partly responsible for lncRNA transcription. Loss of cMyc led to a more dramatic decrease of lncRNAs than mRNAs, and cMyc overexpression rescues lncRNA expression in Dcr KO cells. A quantitative metric of “mRNA-lncRNA decoupling” revealed that Dcr and cMyc differentially regulate lncRNAs vs. mRNAs in diverse cell types and in vivo, as evidenced by hundreds of microarray experiments. Thus, Dcr and cMyc may allow numerous lncRNAs to be activated or deactivated as a class, implicating lncRNAs to potential regulatory roles in development and disease states where Dcr and cMyc have been associated with.

ORGANISM(S): Mus musculus

PROVIDER: GSE55338 | GEO | 2014/06/15

SECONDARY ACCESSION(S): PRJNA239352

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Dicer-microRNA-Myc circuit promotes transcription of hundreds of long noncoding RNAs

Project description:Long noncoding RNAs (lncRNAs) are important regulators of cell fate, and their mis-expression has been implicated in many diseases. While distinct polymerases generate messenger vs. noncoding ribosomal or tRNAs3, little is known about distinct mechanisms controlling lncRNA expression. Here we show that transcription of lncRNAs is quantitatively different from that of messenger RNAs (mRNAs)--as revealed by deficiency of Dicer (Dcr), a key ribonuclease that generates microRNAs (miRNAs). Loss of Dcr in mouse embryonic stem cells (mESCs) led surprisingly to decreased level of the majority of lncRNAs. The canonical Dgcr8-Dcr-miRNA pathway is required for robust lncRNA expression, at the level of transcriptional initiation and elongation of lncRNA genes rather than at the level of their stability. cMyc, an oncogenic transcription factor, whose expression is indirectly regulated by Dcr-miRNA in mESCs, is partly responsible for lncRNA transcription. Loss of cMyc led to a more dramatic decrease of lncRNAs than mRNAs, and cMyc overexpression rescues lncRNA expression in Dcr KO cells. A quantitative metric of “mRNA-lncRNA decoupling” revealed that Dcr and cMyc differentially regulate lncRNAs vs. mRNAs in diverse cell types and in vivo, as evidenced by hundreds of microarray experiments. Thus, Dcr and cMyc may allow numerous lncRNAs to be activated or deactivated as a class, implicating lncRNAs to potential regulatory roles in development and disease states where Dcr and cMyc have been associated with. RNA was sequenced from WT and Dcr KO mESCs and the expression of lncRNAs and mRNAs are compared between WT and Dcr KO mESCs.

2014-06-15 | E-GEOD-55338 | biostudies-arrayexpress

Comparison of lncRNA and mRNA expression levels in peri-implantitis and periodontitis

Project description:Objectives: The aim of this study was to identify the long noncoding RNAs (lncRNAs) and mRNAs that influence the different manifestations of peri-implantitis and periodontitis (I vs. P). Materials and methods: Gingival tissues from 6 peri-implantitis patients, 6 periodontitis patients, and 6 healthy individuals were analysed using lncRNAs and mRNAs gene expression microarrays. A lncRNAs subgroup analysis, a lncRNAs cluster graph, gene ontology (GO), and a pathway analysis of mRNAs were performed to analyse the data extracted from microarrays. To verify the results of the microarray studies, quantitative real-time polymerase chain reaction (qRT-PCR) was used to assess some differentially expressed lncRNAs and mRNAs. Results: In the gene expression microarray studies, 1,079 differentially expressed lncRNAs and 1,003 differentially expressed mRNAs were identified when comparing I vs. P. The lncRNAs subgroup analysis showed that there were 9 significantly up-regulated antisense lncRNAs and 18 significantly down-regulated antisense lncRNAs when comparing I vs. P. GO analysis on mRNAs revealed that the cyclooxygenase pathway is the most prominent signal among the up-regulated transcripts (3 genes) and that hemidesmosome assembly represents the most significant biological process among the down-regulated transcripts (4 genes) when comparing I vs. P. The expression levels of antisense lncRNA GACAT2 and mRNA MTCL1, antisense lncRNA MSC-AS1 with its sense mRNA MSC and TRPA1 were verified by RT-qPCR. Conclusions: Results indicated that peri-implantitis and periodontitis exhibit significantly different lncRNAs and mRNAs expression profiles. Additionally, specific lncRNAs may take part in the pathogenesis mechanisms of peri-implantitis and periodontitis through influencing their nearby mRNAs.

2020-10-24 | GSE106090 | GEO

The long noncoding RNA expression profile of human intervertebral disc degeneration identified by microarray analysis

Project description:In addition to the well-known short noncoding RNAs as miRNAs, increasing evidence suggests that long noncoding RNAs (lncRNAs) act as key regulators in a wide aspect of biologic processes. Dysregulated expression of lncRNAs has been demonstrated being implicated in a variety of human diseases. However, there is relative paucity of information regarding the role of lncRNAs in intervertebral disc degeneration (IDD) hitherto. We have addressed the expression profiles of miRNAs in IDD previously. To determine whether lncRNAs is differentially expressed in IDD, we employed a lncRNA-mRNA microarray analysis of human nucleus pulposus (five degenerative as IDD and five normal specimens as control). With abundant probes accounting for 33,045 lncRNAs and 30,215 coding transcripts in our microarray, microarray data profiling indicated that 18995 lncRNAs and 14635 mRNAs were detected in all samples with 2309 lncRNAs and 3017 mRNAs differentially expressed in degenerated samples. Amongst them, 164 lncRNAs (97 up and 67 down) and 265 mRNAs were highly differentially expressed with an absolute fold change greater than ten. The upregulated mRNAs included the extracellular matrix components as COL1A2, LUM, FN1ACAN, DCN and ITFG2. 1100 lncRNAs and 1379 mRNAs were altered in the same direction in at least 4 of the 5 degenerative samples with fold change greater than 2 respectively. Three lncRNAs were chosen for the real-time quantitative PCR (qRT-PCR) analysis. qRT-PCR results showed a high consistency with the microarray data. In this study, to explore the potential involvement of lncRNAs in IDD, we conducted lncRNA and mRNA profiling in 5 human control nucleus pulposus tissue and 5 degenerative nucleus pulposus tissue by microarray.Biological replicates: 5 control, 5 degenerated, independently harvested.

2014-11-17 | E-GEOD-56081 | biostudies-arrayexpress

Integrated analysis of genome-wide profiling of lncRNA and mRNA expression and functional networks after botulinum toxin type A injection into submandibular gland of rats.

Project description:Abstract: Backgroud: This study was to explore long noncoding RNA (lncRNA) and messenger RNA (mRNA) expression profiles and construct functional networks to analyze their biological functions when botulinum toxin type A (BTXA) inhibited salivary secretion. Methods: BTXA and saline were injected into the submandibular gland of rats as the BTXA group and control group, respectively. Morphological and secretory function tests validated the animal models. Microarray analysis was applied to identify the expression variation of lncRNA and mRNA and were confirmed by qRT-PCR. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed to explicit the biological functions. The construction of functional networks including lncRNA-mRNA co-expression network and competing endogenous RNA (ceRNA) network was to reveal the interaction between coding and noncoding genes. Results: A total of 254 lncRNAs and 631 mRNAs were differentially expressed (DE) between the control group and the BTXA group. Ten lncRNAs and eleven mRNAs were confirmed by qRT-PCR and the results were consistent with the microarray analysis. The bioinformatic analysis found that most of mRNAs were closely related to transmembrane transporter activity. LncRNA-mRNA co-expression network and ceRNA network were constructed and identified several critical mRNA-lncRNA axes and key microRNAs related to salivary secretion, respectively. Conclusions: Our study identified DE lncRNAs and mRNAs through microarray analysis and explored the biological functions and interaction between coding and noncoding genes through bioinformatics analysis. These findings may provide new directions for the mechanism of BTXA to inhibit salivary secretion.

2020-06-30 | GSE144985 | GEO

Differentially expressed long noncoding RNA expression between periodontal ligament stem cells from healthy periodontal tissue and periodontal ligament stem cells from inflammatory periodontal tissue.

Project description:Periodontitis can impair the osteogenic differentiation of human periodontal mesenchymal stem cells, but the underlying molecular mechanisms are still poorly understood. Long noncoding RNAs (lncRNAs) have been demonstrated to play significant roles under both physiologic and pathological conditions. We performed comprehensive lncRNAs profiling by lncRNA microarray to identify differentially expressed long noncoding RNA expression between Periodontal ligament stem cells from healthy Periodontal tissue and periodontal ligament stem cells from inflammatory periodontal tissue. Our analysis identified 233 lncRNAs and 423 mRNAs that were differently expressed (fold change >2.0, p-value < 0.05) between the two groups of cells. The GO analysis revealed that the significantly down-regulated biological processes included multicellular organismal process, developmental process and multicellular organismal development and the significantly up-regulated biological processes included cellular process, biological regulation and response to stimulus in periodontal ligament stem cells from inflammatory periodontal tissue. The Pathway analysis revealed that the differentially expressed mRNAs may involved in Focal adhesion, ECM-receptor interaction, Bacterial invasion of epithelial cells, Long-term depression, Circadian entrainment and HIF-1 signaling pathway. Two-condition experiment, periodontal ligament stem cells from healthy periodontal tissue (hPDLSCs) vs. periodontal ligament stem cells from inflammatory periodontal tissue (pPDLSCs), Biological replicates: 3 control replicates (hPDLSCs), 3 testing replicates (pPDLSCs).

2016-02-19 | E-GEOD-78074 | biostudies-arrayexpress

Expression profiling of long noncoding RNAs and mRNAs in uterine leiomyoma

Project description:Global protein coding gene and miRNA expression profiling studies in uterine leiomyoma showed their aberrant expression and involvement in the pathogenesis of uterine leiomyoma. But the global expression patterns and potential clinical value of long noncoding RNA (lncRNA) in uterine leiomyoma have not been explored.In this study, we performed lncRNA expression profiles analysis of uterine leiomyoma using microarray(Arraystar Human LncRNA Array v2.0) to evaluate the genome-wide expression of lncRNAs and mRNAs and their potential role in the pathogenesis of uterine leiomyoma. Expression profiling analysis of the 15 samples including 5 large fibroids, 5 small fibroids and 5 matched myometrium by Arraystar Human LncRNA Array v2.0.

2014-08-14 | E-GEOD-52618 | biostudies-arrayexpress

Computational prediction and experimental validation identify functionally conserved lncRNAs from zebrafish to human

Project description:Functional studies of long noncoding RNAs (lncRNAs) have long been hindered by a lack of methods to assess their evolution. Here, we present lncHOME (lncRNA Homology Explorer), a computational pipeline that identifies a unique coPARSE-lncRNA class with conserved genomic locations and patterns of RNA binding protein (RBP) binding sites. Remarkably, several hundred human coPARSE-lncRNAs can be evolutionarily traced to zebrafish. Using CRISPR-Cas12a knockout and rescue assays, we found that knocking out many human coPARSE-lncRNAs led to cell proliferation defects that were rescued by predicted zebrafish homologs. Knocking down the coPARSE-lncRNAs in zebrafish embryos caused severe developmental delays that were rescued by human homologs. Moreover, we verified that human, mouse, and zebrafish coPARSE-lncRNA homologs tend to bind similar RBPs with their conserved fuctions relying on specific RBP binding sites. Overall, our study demonstrates a comprehensive approach for studying functional conservation of lncRNAs and implicates numerous lncRNAs in regulating cellular physiology.

2024-01-26 | PXD046452 | Pride

Chromatin environment, transcriptional regulation and splicing distinguish lncRNAs and mRNAs [Stability]

Project description:While long noncoding RNAs (lncRNAs) and mRNAs share similar biogenesis pathways, these two transcript classes differ in many regards. LncRNAs are less conserved, less abundant, and more tissue specific than mRNAs, implying that our understanding of lncRNA transcriptional regulation is incomplete. Here, we perform an in depth characterization of numerous factors contributing to this regulation. We find that lncRNA promoters contain fewer transcription factor binding sites than do those of mRNAs, with some notable exceptions. Surprisingly, we find that H3K9me3 –typically associated with transcriptional repression–is enriched at active lncRNA loci. However, the most discriminant differences between lncRNAs and mRNAs involve splicing: only half of lncRNAs are efficiently spliced, which can be partially attributed to defects in lncRNA splicing signals and diminished U2AF65 binding. These attributes are conserved between humans and mice. Finally, we find that certain transcriptional properties are enriched in known, functionally characterized lncRNAs, demonstrating that our multidimensional analysis might discern lncRNAs that are likely to be functional

2016-11-09 | GSE80045 | GEO

Chromatin environment, transcriptional regulation and splicing distinguish lncRNAs and mRNAs [NucFrac]

2016-11-09 | GSE80043 | GEO

Chemical modifications mark alternatively spliced and actively degrading messenger RNAs in Arabidopsis and humans

Project description:Post-transcriptional chemical modification of RNA bases is a widespread and physiologically relevant regulator of RNA maturation, stability, and function. While modifications are best characterized in short, noncoding RNAs such as transfer RNAs (tRNAs), growing evidence indicates that messenger RNAs (mRNAs) and long noncoding RNAs (lncRNAs) are likewise modified. Here, we apply our High-throughput Annotation of Modified Ribonucleotides (HAMR) pipeline to identify and classify modifications that affect Watson-Crick base-pairing at three different levels of the human and Arabidopsis thaliana transcriptomes (polyadenylated, small, and degrading RNAs). We find modifications primarily within actively degrading mRNAs and lncRNAs, suggesting they can act as a potent signal for RNA turnover. Additionally, modifications within stable mRNAs mark alternatively spliced introns, suggesting they regulate splicing. Furthermore, these modifications target mRNAs with coherent functions, including stress responses. Thus, our comprehensive analysis of RNA modification across multiple RNA classes yields new functional insights into these covalent RNA additions. polyA-selected RNA-seq, smRNA-seq, and polyA-selected global mapping of uncapped transcripts (GMUCT) in Arabidopsis thaliana; smRNA-seq in HEK293T and HeLa human cell lines.

2015-10-31 | E-GEOD-66224 | 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