Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RIA to verify MARIO in mapping RNA-RNA interactome and RNA structures in vivo

ABSTRACT: Many biological processes are regulated by RNA-RNA interactions 1, nonetheless it remains formidable to analyze the entire RNA interactome. We developed a method, MARIO (MApping Rna-rna Interactions in vivO), to map protein-assisted RNA-RNA interactions in vivo. By circumventing the selection for a specific RNA-binding protein 2-5, our approach vastly expands the identifiable portion of the RNA interactome. Using this technology, we mapped the RNA interactome in mouse embryonic stem cells, which was composed of 46,780 RNA-RNA interactions. The RNA interactome was a scale-free network, with several lincRNAs and mRNAs emerging as hubs. We validated an interaction between two hubs, Malat1 and Slc2a3 using single molecule RNA fluorescence in situ hybridization. Base pairing was observed at the interaction sites of long RNAs, and was particularly strong in transposonRNA-mRNA and lincRNA-mRNA interactions. This reveals a new type of regulatory sequences acting in trans. Consistent with their hypothesized roles, the RNA interaction sites were more evolutionarily conserved than other regions of the transcripts. MARIO also provided new information on RNA structures, by simultaneously revealing the footprint of single stranded regions and the spatially proximal sites of each RNA. The unbiased mapping of the protein-assisted RNA interactome with minimum perturbation of cell physiology will greatly expand our capacity to investigate RNA functions.

ORGANISM(S): Mus musculus

PROVIDER: GSE65849 | GEO | 2016/06/23

SECONDARY ACCESSION(S): PRJNA275224

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

RIA to verify MARIO in mapping RNA-RNA interactome and RNA structures in vivo

Project description:Many biological processes are regulated by RNA-RNA interactions 1, nonetheless it remains formidable to analyze the entire RNA interactome. We developed a method, MARIO (MApping Rna-rna Interactions in vivO), to map protein-assisted RNA-RNA interactions in vivo. By circumventing the selection for a specific RNA-binding protein 2-5, our approach vastly expands the identifiable portion of the RNA interactome. Using this technology, we mapped the RNA interactome in mouse embryonic stem cells, which was composed of 46,780 RNA-RNA interactions. The RNA interactome was a scale-free network, with several lincRNAs and mRNAs emerging as hubs. We validated an interaction between two hubs, Malat1 and Slc2a3 using single molecule RNA fluorescence in situ hybridization. Base pairing was observed at the interaction sites of long RNAs, and was particularly strong in transposonRNA-mRNA and lincRNA-mRNA interactions. This reveals a new type of regulatory sequences acting in trans. Consistent with their hypothesized roles, the RNA interaction sites were more evolutionarily conserved than other regions of the transcripts. MARIO also provided new information on RNA structures, by simultaneously revealing the footprint of single stranded regions and the spatially proximal sites of each RNA. The unbiased mapping of the protein-assisted RNA interactome with minimum perturbation of cell physiology will greatly expand our capacity to investigate RNA functions. Three (3) ESC samples were treated with one (1) type of antisense oligonucleotides as is described in Kretz M. et al. (Nature. 2013 Jan 10;493(7431):231-5) to show the RNA interaction among specific RNAs and verify the results from MARIO

2016-06-23 | E-GEOD-65849 | biostudies-arrayexpress

Mapping RNA-RNA interactome and RNA structures in vivo with MARIO

Project description:Many biological processes are regulated by RNA-RNA interactions 1, nonetheless it remains formidable to analyze the entire RNA interactome. We developed a method, MARIO (MApping Rna-rna Interactions in vivO), to map protein-assisted RNA-RNA interactions in vivo. By circumventing the selection for a specific RNA-binding protein 2-5, our approach vastly expands the identifiable portion of the RNA interactome. Using this technology, we mapped the RNA interactome in mouse embryonic stem cells, which was composed of 46,780 RNA-RNA interactions. The RNA interactome was a scale-free network, with several lincRNAs and mRNAs emerging as hubs. We validated an interaction between two hubs, Malat1 and Slc2a3 using single molecule RNA fluorescence in situ hybridization. Base pairing was observed at the interaction sites of long RNAs, and was particularly strong in transposonRNA-mRNA and lincRNA-mRNA interactions. This reveals a new type of regulatory sequences acting in trans. Consistent with their hypothesized roles, the RNA interaction sites were more evolutionarily conserved than other regions of the transcripts. MARIO also provided new information on RNA structures, by simultaneously revealing the footprint of single stranded regions and the spatially proximal sites of each RNA. The unbiased mapping of the protein-assisted RNA interactome with minimum perturbation of cell physiology will greatly expand our capacity to investigate RNA functions. Three (3) ESC samples with different treatment (different digestion size and/or crosslinking method) and one (1) MEF sample were included to test our new approach for RNA-interactome mapping and the different samples were analyzed to show RNA interactome differences between them.

2016-06-23 | E-GEOD-61489 | biostudies-arrayexpress

Mapping RNA-RNA interactome and RNA structures in vivo with MARIO

2016-06-23 | GSE61489 | GEO

Histone H3K27 methyltransferase EZH2 interacts with MEG3-lncRNA to directly regulate integrin signaling and endothelial cell function

Project description:We profiled EZH2-RNA interactions using formaldehyde/UV assisted cross-linking ligation and sequencing of hybrids (FLASH-seq) in primary human ECs. Transcriptome-wide EZH2-associated ncRNAs and RNA–RNA interactome were obtained.

2024-04-12 | GSE230112 | GEO

Oncogenic transcription factors instruct promoter-enhancer hubs in individual triple negative breast cancer cells [RNA-seq]

Project description:Recent sequencing-based experiments mapping ensemble interaction frequency among regulatory elements in cancer cells support the existence of complex topological assemblies of enhancers and promoters known as promoter-enhancer hubs or cliques. Yet, the prevalence of promoter-enhancer hubs in individual cells, factors regulating their dynamics and assembly, as well as their role in transcriptional dysregulation in cancer remain unclear. Here, we systematically integrated functional genomics, transcription factor screening, and optical mapping of promoter-enhancer interactions to identify key promoter-enhancer hubs, examine heterogeneity of their assembly, determine their regulators, and elucidate their role in gene expression control in individual triple negative breast cancer (TNBC) cells. Optical mapping of individual SOX9 and MYC alleles revealed the existence of frequent multiway interactions among gene promoters and enhancers within promoter-enhancer hubs. Our single-allele studies further demonstrated that lineage-determining SOX9 and signaling-dependent NOTCH1 transcription factors compact MYC and SOX9 promoter-enhancer hubs, respectively. Together, our findings suggest that promoter-enhancer hubs are dynamic and heterogeneous topological assemblies controlled by oncogenic transcription factors potentially in a cancer subtype-restricted manner to facilitate aberrant gene expression.

2024-08-16 | GSE264707 | GEO

Oncogenic transcription factors instruct promoter-enhancer hubs in individual triple negative breast cancer cells [CUT&RUN]

2024-08-16 | GSE264706 | GEO

Oncogenic transcription factors instruct promoter-enhancer hubs in individual triple negative breast cancer cells [ChIP-seq]

2024-08-16 | GSE264705 | GEO

Enhancer-promoter hubs organize transcriptional networks promoting oncogenesis and drug resistance (RNA-Seq)

Project description:Recent advances in high-resolution mapping of spatial interactions among regulatory elements support the existence of complex topological assemblies of enhancers and promoters known as enhancer-promoter hubs or cliques. Yet, organization principles of these multi-interacting enhancer-promoter hubs and their potential role in regulating gene expression in cancer remains unclear. Here, we systematically identified enhancer-promoter hubs in breast cancer, lymphoma, and leukemia. We found that highly interacting enhancer-promoter hubs form at key oncogenes and lineage-associated transcription factors potentially promoting oncogenesis of these diverse cancer types. Genomic and optical mapping of interactions among enhancer and promoter elements further showed that topological alterations in hubs coincide with transcriptional changes underlying acquired resistance to targeted therapy in T cell leukemia and B cell lymphoma. Together, our findings suggest that enhancer-promoter hubs are dynamic and heterogeneous topological assemblies with the potential to control gene expression circuits promoting oncogenesis and drug resistance.

2024-08-16 | GSE268227 | GEO

Enhancer-promoter hubs organize transcriptional networks promoting oncogenesis and drug resistance (HiC)

2024-08-16 | GSE268226 | GEO

Enhancer-promoter hubs organize transcriptional networks promoting oncogenesis and drug resistance (ChIP-Seq)

2024-08-16 | GSE268225 | GEO