scholarly journals Prediction of regulatory long intergenic non-coding RNAs acting in trans through base-pairing interactions

BMC Genomics ◽  
2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Jules Deforges ◽  
Rodrigo S. Reis ◽  
Philippe Jacquet ◽  
Dominique Jacques Vuarambon ◽  
Yves Poirier
Keyword(s):  
Base Pairing ◽  
In Trans ◽  
Non Coding Rnas ◽  
Pairing Interactions

scholarly journals Direct Interactions with Nascent Transcripts Is Potentially a Common Targeting Mechanism of Long Non-Coding RNAs

Genes ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 1483
Author(s):  
Ivan Antonov ◽  
Yulia Medvedeva
Keyword(s):  
Target Genes ◽  
Regulation Of Gene Expression ◽  
Pilot Project ◽  
Base Pairing ◽  
Nascent Transcript ◽  
Active Transcription ◽  
Wet Lab ◽  
In Trans ◽  
Non Coding Rnas ◽  
Nascent Transcripts

Although thousands of mammalian long non-coding RNAs (lncRNAs) have been reported in the last decade, their functional annotation remains limited. A wet-lab approach to detect functions of a novel lncRNA usually includes its knockdown followed by RNA sequencing and identification of the deferentially expressed genes. However, identification of the molecular mechanism(s) used by the lncRNA to regulate its targets frequently becomes a challenge. Previously, we developed the ASSA algorithm that detects statistically significant inter-molecular RNA-RNA interactions. Here we designed a workflow that uses ASSA predictions to estimate the ability of an lncRNA to function via direct base pairing with the target transcripts (co- or post-transcriptionally). The workflow was applied to 300+ lncRNA knockdown experiments from the FANTOM6 pilot project producing statistically significant predictions for 71 unique lncRNAs (104 knockdowns). Surprisingly, the majority of these lncRNAs were likely to function co-transcriptionally, i.e., hybridize with the nascent transcripts of the target genes. Moreover, a number of the obtained predictions were supported by independent iMARGI experimental data on co-localization of lncRNA and chromatin. We detected an evolutionarily conserved lncRNA CHASERR (AC013394.2 or LINC01578) that could regulate target genes co-transcriptionally via interaction with a nascent transcript by directing CHD2 helicase. The obtained results suggested that this nuclear lncRNA may be able to activate expression of the target genes in trans by base-pairing with the nascent transcripts and directing the CHD2 helicase to the regulated promoters leading to open the chromatin and active transcription. Our study highlights the possible importance of base-pairing between nuclear lncRNAs and nascent transcripts for the regulation of gene expression.

scholarly journals CLASH Analyst: A Web Server to Identify In Vivo RNA–RNA Interactions from CLASH Data

2022 ◽  
Vol 8 (1) ◽  
pp. 6
Author(s):  
Wei-Sheng Wu ◽  
Jordan S. Brown ◽  
Pin-Hao Chen ◽  
Sheng-Cian Shiue ◽  
Dong-En Lee ◽  
...  
Keyword(s):  
Gene Regulation ◽  
Web Server ◽  
Published Data ◽  
Base Pairing ◽  
Target Molecules ◽  
Non Coding Rnas ◽  
Regulatory Rnas ◽  
Pairing Interactions

Non-coding RNAs, such as miRNAs and piRNAs, play critical roles in gene regulation through base-pairing interactions with their target molecules. The recent development of the crosslinking, ligation, and sequencing of hybrids (CLASH) method has allowed scientists to map transcriptome-wide RNA–RNA interactions by identifying chimeric reads consisting of fragments from regulatory RNAs and their targets. However, analyzing CLASH data requires scientists to use advanced bioinformatics, and currently available tools are limited for users with little bioinformatic experience. In addition, many published CLASH studies do not show the full scope of RNA–RNA interactions that were captured, highlighting the importance of reanalyzing published data. Here, we present CLASH Analyst, a web server that can analyze raw CLASH data within a fully customizable and easy-to-use interface. CLASH Analyst accepts raw CLASH data as input and identifies the RNA chimeras containing the regulatory and target RNAs according to the user’s interest. Detailed annotation of the captured RNA–RNA interactions is then presented for the user to visualize within the server or download for further analysis. We demonstrate that CLASH Analyst can identify miRNA- and piRNA-targeting sites reported from published CLASH data and should be applicable to analyze other RNA–RNA interactions. CLASH Analyst is freely available for academic use.

scholarly journals A Deep Dive into DNA Base Pairing Interactions Under Water

2020 ◽  
Vol 124 (27) ◽  
pp. 5559-5570
Author(s):  
Rongpeng Li ◽  
Chi H. Mak
Keyword(s):  
Base Pairing ◽  
Deep Dive ◽  
Dna Base ◽  
Pairing Interactions

ChemInform Abstract: Porous Materials Based on Metal-Nucleobase Systems Sustained by Coordination Bonds and Base Pairing Interactions

ChemInform ◽  
2015 ◽  
Vol 46 (32) ◽  
pp. no-no
Author(s):  
Garikoitz Beobide ◽  
Oscar Castillo ◽  
Antonio Luque ◽  
Sonia Perez-Yanez
Keyword(s):  
Porous Materials ◽  
Base Pairing ◽  
Coordination Bonds ◽  
Pairing Interactions

scholarly journals Processing of Intron-Encoded Box C/D Small Nucleolar RNAs Lacking a 5′,3′-Terminal Stem Structure

2000 ◽  
Vol 20 (13) ◽  
pp. 4522-4531 ◽  
Author(s):  
Xavier Darzacq ◽  
Tamás Kiss
Keyword(s):  
Metabolic Stability ◽  
Small Nucleolar Rnas ◽  
Base Pairing ◽  
Flanking Sequences ◽  
Pairing Interactions ◽  
Precursor Rna ◽  
Nucleolar Rnas ◽  
Stem Structure

ABSTRACT The C and D box-containing (box C/D) small nucleolar RNAs (snoRNAs) function in the nucleolytic processing and 2′-O-methylation of precursor rRNA. In vertebrates, most box C/D snoRNAs are processed from debranched pre-mRNA introns by exonucleolytic activities. Elements directing accurate snoRNA excision are located within the snoRNA itself; they comprise the conserved C and D boxes and an adjoining 5′,3′-terminal stem. Although the terminal stem has been demonstrated to be essential for snoRNA accumulation, many snoRNAs lack a terminal helix. To identify thecis-acting elements supporting the accumulation of intron-encoded box C/D snoRNAs devoid of a terminal stem, we have investigated the in vivo processing of the human U46 snoRNA and an artificial snoRNA from the human β-globin pre-mRNA. We demonstrate that internal and/or external stem structures located within the snoRNA or in the intronic flanking sequences support the accumulation of mammalian box C/D snoRNAs lacking a canonical terminal stem. In the intronic precursor RNA, transiently formed external and/or stable internal base-pairing interactions fold the C and D boxes together and therefore facilitate the binding of snoRNP proteins. Since the external intronic stems are degraded during snoRNA processing, we propose that the C and D boxes alone can provide metabolic stability for the mature snoRNA.

scholarly journals RNA base pairing complexity in living cells visualized by correlated chemical probing

2019 ◽  
Author(s):  
Anthony M. Mustoe ◽  
Nicole Lama ◽  
Patrick S. Irving ◽  
Samuel W. Olson ◽  
Kevin M. Weeks
Keyword(s):  
Single Molecule ◽  
Rna Structure ◽  
Dimethyl Sulfate ◽  
Detection Methods ◽  
Base Pairing ◽  
Base Pairs ◽  
Chemical Probing ◽  
Pairing Interactions ◽  
In Cells

ABSTRACTRNA structure and dynamics are critical to biological function. However, strategies for determining RNA structure in vivo are limited, with established chemical probing and newer duplex detection methods each having notable deficiencies. Here we convert the common reagent dimethyl sulfate (DMS) into a useful probe of all four RNA nucleotides. Building on this advance, we introduce PAIR-MaP, which uses single-molecule correlated chemical probing to directly detect base pairing interactions in cells. PAIR-MaP has superior resolution and accuracy compared to alternative experiments, can resolve alternative pairing interactions of structurally dynamic RNAs, and enables highly accurate structure modeling, including of RNAs containing multiple pseudoknots and extensively bound by proteins. Application of PAIR-MaP to human RNase MRP and two bacterial mRNA 5'-UTRs reveals new functionally important and complex structures undetectable by conventional analyses. PAIR-MaP is a powerful, experimentally concise, and broadly applicable strategy for directly visualizing RNA base pairs and dynamics in cells.

scholarly journals RNA base-pairing complexity in living cells visualized by correlated chemical probing

2019 ◽  
Vol 116 (49) ◽  
pp. 24574-24582 ◽  
Author(s):  
Anthony M. Mustoe ◽  
Nicole N. Lama ◽  
Patrick S. Irving ◽  
Samuel W. Olson ◽  
Kevin M. Weeks
Keyword(s):  
Single Molecule ◽  
Rna Structure ◽  
Messenger Rna ◽  
Dimethyl Sulfate ◽  
Detection Methods ◽  
Base Pairing ◽  
Chemical Probing ◽  
Pairing Interactions ◽  
In Cells

RNA structure and dynamics are critical to biological function. However, strategies for determining RNA structure in vivo are limited, with established chemical probing and newer duplex detection methods each having deficiencies. Here we convert the common reagent dimethyl sulfate into a useful probe of all 4 RNA nucleotides. Building on this advance, we introduce PAIR-MaP, which uses single-molecule correlated chemical probing to directly detect base-pairing interactions in cells. PAIR-MaP has superior resolution compared to alternative experiments, can resolve multiple sets of pairing interactions for structurally dynamic RNAs, and enables highly accurate structure modeling, including of RNAs containing multiple pseudoknots and extensively bound by proteins. Application of PAIR-MaP to human RNase MRP and 2 bacterial messenger RNA 5′ untranslated regions reveals functionally important and complex structures undetected by prior analyses. PAIR-MaP is a powerful, experimentally concise, and broadly applicable strategy for directly visualizing RNA base pairs and dynamics in cells.

Being in a loop: how long non-coding RNAs organise genome architecture

2019 ◽  
Vol 63 (1) ◽  
pp. 177-186 ◽  
Author(s):  
Giuseppina Pisignano ◽  
Ioanna Pavlaki ◽  
Adele Murrell
Keyword(s):  
Gene Expression ◽  
Chromatin Structure ◽  
Potential Role ◽  
Conclusive Evidence ◽  
Genome Architecture ◽  
Chromatin Interactions ◽  
In Trans ◽  
Non Coding Rnas ◽  
Expression Evidence ◽  
In Cis

Abstract Chromatin architecture has a significant impact on gene expression. Evidence in the last two decades support RNA as an important component of chromatin structure [Genes Dev. (2005) 19, 1635–1655; PLoS ONE (2007) 2, e1182; Nat. Genet. (2002) 30, 329–334]. Long non-coding RNAs (lncRNAs) are able to control chromatin structure through nucleosome positioning, interaction with chromatin re-modellers and chromosome looping. These functions are carried out in cis at the site of lncRNAs transcription or in trans at distant loci. While the evidence for a role in lncRNAs in regulating gene expression through chromatin interactions is increasing, there is still very little conclusive evidence for a potential role in looping organisation. Here, we review models for the involvement of lncRNAs in genome architecture and the experimental evidence to support them.

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