scholarly journals Conserved Methyltransferase Spb1 Targets mRNAs for Regulated Modification with 2′-O-Methyl Ribose

2018 ◽  
Author(s):  
Kristen M. Bartoli ◽  
Cassandra Schaening ◽  
Thomas M. Carlile ◽  
Wendy V. Gilbert
Keyword(s):  
List Type ◽  
Single Nucleotide ◽  
Target Mrnas ◽  
Mrna Targets ◽  
Non Coding Rna ◽  
Genome Wide ◽  
Non Coding Rnas ◽  
Nucleotide Resolution ◽  
Single Nucleotide Resolution ◽  
Specific Mrna

SUMMARYNon-coding RNAs contain dozens of chemically distinct modifications, of which only a few have been identified in mRNAs. The recent discovery that certain tRNA modifying enzymes also target mRNAs suggests the potential for many additional mRNA modifications. Here, we show that conserved tRNA 2′-O-methyltransferases Trm3, 7,13 and 44, and rRNA 2′-O-methyltransferase Spb1, interact with specific mRNA sites in yeast by crosslinking immunoprecipitation and sequencing (CLIP-seq). We developed sequencing of methylation at two prime hydroxyls (MeTH-seq) for transcriptome-wide mapping of 2′-O-methyl ribose (Nm) with single-nucleotide resolution, and discover thousands of potential Nm sites in mRNAs. Genetic analysis identified hundreds of mRNA targets for the Spb1 methyltransferase, which can target both mRNA and non-coding RNA for environmentally regulated modification. Our work identifies Nm as a prevalent mRNA modification that is likely to be conserved and provides methods to investigate its distribution and regulation.HIGHLIGHTSMeTH-seq identifies 2′-O-methylribose genome-wide at single-nucleotide resolutionFive conserved methyltransferases interact with yeast mRNASpb1 is a major mRNA 2′-O-methyltransferase, and targets most ribosomal protein mRNAsSPB1 expression is required to maintain normal levels of Spb1 target mRNAs

scholarly journals Star-PAP RNA Binding Landscape Reveals Novel Role of Star-PAP in mRNA Metabolism That Requires RBM10-RNA Association

2021 ◽  
Vol 22 (18) ◽  
pp. 9980
Author(s):  
Ganesh R. Koshre ◽  
Feba Shaji ◽  
Neeraja K. Mohanan ◽  
Nimmy Mohan ◽  
Jamshaid Ali ◽  
...  
Keyword(s):  
Rna Binding ◽  
Coding Region ◽  
High Association ◽  
Target Mrnas ◽  
Mrna Metabolism ◽  
Mrna Targets ◽  
Genome Wide ◽  
Global Profile ◽  
Specific Mrna

Star-PAP is a non-canonical poly(A) polymerase that selects mRNA targets for polyadenylation. Yet, genome-wide direct Star-PAP targets or the mechanism of specific mRNA recognition is still vague. Here, we employ HITS-CLIP to map the cellular Star-PAP binding landscape and the mechanism of global Star-PAP mRNA association. We show a transcriptome-wide association of Star-PAP that is diminished on Star-PAP depletion. Consistent with its role in the 3′-UTR processing, we observed a high association of Star-PAP at the 3′-UTR region. Strikingly, there is an enrichment of Star-PAP at the coding region exons (CDS) in 42% of target mRNAs. We demonstrate that Star-PAP binding de-stabilises these mRNAs indicating a new role of Star-PAP in mRNA metabolism. Comparison with earlier microarray data reveals that while UTR-associated transcripts are down-regulated, CDS-associated mRNAs are largely up-regulated on Star-PAP depletion. Strikingly, the knockdown of a Star-PAP coregulator RBM10 resulted in a global loss of Star-PAP association on target mRNAs. Consistently, RBM10 depletion compromises 3′-end processing of a set of Star-PAP target mRNAs, while regulating stability/turnover of a different set of mRNAs. Our results establish a global profile of Star-PAP mRNA association and a novel role of Star-PAP in the mRNA metabolism that requires RBM10-mRNA association in the cell.

scholarly journals Mapping ribonucleotides embedded in genomic DNA to single-nucleotide resolution using Ribose-Map

2020 ◽  
Author(s):  
Alli L. Gombolay ◽  
Francesca Storici
Keyword(s):  
Computing Time ◽  
Wide Distribution ◽  
Sequencing Analysis ◽  
Sequencing Data ◽  
Single Nucleotide ◽  
Genome Wide ◽  
Hands On ◽  
Nucleotide Resolution ◽  
User Friendly ◽  
Single Nucleotide Resolution

ABSTRACTRibose-Map is a user-friendly, standardized bioinformatics toolkit for the comprehensive analysis of ribonucleotide sequencing experiments. It allows researchers to map the locations of ribonucleotides in DNA to single-nucleotide resolution and identify biological signatures of ribonucleotide incorporation. In addition, it can be applied to data generated using any currently available high-throughput ribonucleotide sequencing technique, thus standardizing the analysis of ribonucleotide sequencing experiments and allowing direct comparisons of results. This protocol describes in detail how to use Ribose-Map to analyze raw ribonucleotide sequencing data, including preparing the reads for analysis, locating the genomic coordinates of ribonucleotides, exploring the genome-wide distribution of ribonucleotides, determining the nucleotide sequence context of ribonucleotides, and identifying hotspots of ribonucleotide incorporation. Ribose-Map does not require background knowledge of ribonucleotide sequencing analysis and assumes only basic command-line skills. The protocol requires less than 3 hr of computing time for most datasets and about 30 min of hands-on time.

scholarly journals Single-nucleotide resolution dynamic repair maps of UV damage in Saccharomyces cerevisiae genome

2018 ◽  
Vol 115 (15) ◽  
pp. E3408-E3415 ◽  
Author(s):  
Wentao Li ◽  
Ogun Adebali ◽  
Yanyan Yang ◽  
Christopher P. Selby ◽  
Aziz Sancar
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Excision Repair ◽  
Model Organism ◽  
Early Time ◽  
Uv Damage ◽  
Single Nucleotide ◽  
Pyrimidine Dimers ◽  
Genome Wide ◽  
Nucleotide Resolution ◽  
Single Nucleotide Resolution

We have adapted the eXcision Repair-sequencing (XR-seq) method to generate single-nucleotide resolution dynamic repair maps of UV-induced cyclobutane pyrimidine dimers and (6-4) pyrimidine–pyrimidone photoproducts in the Saccharomyces cerevisiae genome. We find that these photoproducts are removed from the genome primarily by incisions 13–18 nucleotides 5′ and 6–7 nucleotides 3′ to the UV damage that generate 21- to 27-nt-long excision products. Analyses of the excision repair kinetics both in single genes and at the genome-wide level reveal strong transcription-coupled repair of the transcribed strand at early time points followed by predominantly nontranscribed strand repair at later stages. We have also characterized the excision repair level as a function of the transcription level. The availability of high-resolution and dynamic repair maps should aid in future repair and mutagenesis studies in this model organism.

scholarly journals CNCC: an analysis tool to determine genome-wide DNA break end structure at single-nucleotide resolution

BMC Genomics ◽  
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Karol Szlachta ◽  
Heather M. Raimer ◽  
Laurey D. Comeau ◽  
Yuh-Hwa Wang
Keyword(s):  
Mapping Technique ◽  
Nucleotide Position ◽  
Analysis Tool ◽  
Single Nucleotide ◽  
Genome Wide ◽  
A Genome ◽  
Cross Correlation Analysis ◽  
Dna Break ◽  
Nucleotide Resolution ◽  
Single Nucleotide Resolution

Abstract Background DNA double-stranded breaks (DSBs) are potentially deleterious events in a cell. The end structures (blunt, 3′- and 5′-overhangs) at DSB sites contribute to the fate of their repair and provide critical information concerning the consequences of the damage. Therefore, there has been a recent eruption of DNA break mapping and sequencing methods that aim to map at single-nucleotide resolution where breaks are generated genome-wide. These methods provide high resolution data for the location of DSBs, which can encode the type of end-structure present at these breaks. However, genome-wide analysis of the resulting end structures has not been investigated following these sequencing methods. Results To address this analysis gap, we develop the use of a coverage-normalized cross correlation analysis (CNCC) to process the high-precision genome-wide break mapping data, and determine genome-wide break end structure distributions at single-nucleotide resolution. We take advantage of the single-nucleotide position and the knowledge of strandness from every mapped break to analyze the relative shifts between positive and negative strand encoded break nucleotides. By applying CNCC we can identify the most abundant end structures captured by a break mapping technique, and further can make comparisons between different samples and treatments. We validate our analysis with restriction enzyme digestions of genomic DNA and establish the sensitivity of the analysis using end structures that only exist as a minor fraction of total breaks. Finally, we demonstrate the versatility of our analysis by applying CNCC to the breaks resulting after treatment with etoposide and study the variety of resulting end structures. Conclusion For the first time, on a genome-wide scale, our analysis revealed the increase in the 5′ to 3′ end resection following etoposide treatment, and the global progression of the resection. Furthermore, our method distinguished the change in the pattern of DSB end structure with increasing doses of the drug. The ability of this method to determine DNA break end structures without a priori knowledge of break sequences or genomic position should have broad applications in understanding genome instability.

scholarly journals The RNA Atlas, a single nucleotide resolution map of the human transcriptome

2019 ◽  
Author(s):  
Lucia Lorenzi ◽  
Hua-Sheng Chiu ◽  
Francisco Avila Cobos ◽  
Stephen Gross ◽  
Pieter-Jan Volders ◽  
...  
Keyword(s):  
Single Nucleotide ◽  
Human Transcriptome ◽  
Abundance Estimates ◽  
Rna Biology ◽  
Functional Regulation ◽  
Non Coding Rnas ◽  
Nucleotide Resolution ◽  
And Function ◽  
Polyadenylated Rnas ◽  
Single Nucleotide Resolution

AbstractThe human transcriptome consists of various RNA biotypes including multiple types of non-coding RNAs (ncRNAs). Current ncRNA compendia remain incomplete partially because they are almost exclusively derived from the interrogation of small- and polyadenylated RNAs. Here, we present a more comprehensive atlas of the human transcriptome that is derived from matching polyA-, total-, and small-RNA profiles of a heterogeneous collection of nearly 300 human tissues and cell lines. We report on thousands of novel RNA species across all major RNA biotypes, including a hitherto poorly-cataloged class of non-polyadenylated single-exon long non-coding RNAs. In addition, we exploit intron abundance estimates from total RNA-sequencing to test and verify functional regulation by novel non-coding RNAs. Our study represents a substantial expansion of the current catalogue of human ncRNAs and their regulatory interactions. All data, analyses, and results are available in the R2 web portal and serve as a basis to further explore RNA biology and function.

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