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        <copyright>Newgen KnowledgeWorks</copyright>
        <item>
            <title><![CDATA[Solid-phase XRN1 reactions for RNA cleavage: application in single-molecule sequencing]]></title>
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            <link>https://www.novareader.co/book/isbn/10.1093/nar/gkab001</link>
            <description><![CDATA[<p class="para" id="N65541">Modifications in RNA are numerous (∼170) and in higher numbers compared to DNA (∼5) making the ability to sequence an RNA molecule to identify these modifications highly tenuous using next generation sequencing (NGS). The ability to immobilize an exoribonuclease enzyme, such as XRN1, to a solid support while maintaining its activity and capability to cleave both the canonical and modified ribonucleotides from an intact RNA molecule can be a viable approach for single-molecule RNA sequencing. In this study, we report an enzymatic reactor consisting of covalently attached XRN1 to a solid support as the groundwork for a novel RNA exosequencing technique. The covalent attachment of XRN1 to a plastic solid support was achieved using EDC/NHS coupling chemistry. Studies showed that the solid-phase digestion efficiency of model RNAs was 87.6 ± 2.8%, while the XRN1 solution-phase digestion for the same model was 78.3 ± 4.4%. The ability of immobilized XRN1 to digest methylated RNA containing m6A and m5C ribonucleotides was also demonstrated. The processivity and clipping rate of immobilized XRN1 secured using single-molecule fluorescence measurements of a single RNA transcript demonstrated a clipping rate of 26 ± 5 nt s<sup>−1</sup> and a processivity of &gt;10.5 kb at 25°C.</p>]]></description>
            <pubDate><![CDATA[2021-01-28T00:00]]></pubDate>
        </item><item>
            <title><![CDATA[Single-molecule optical mapping of the distribution of DNA phosphorothioate epigenetics]]></title>
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            <link>https://www.novareader.co/book/isbn/10.1093/nar/gkab169</link>
            <description><![CDATA[<p class="para" id="N65541">DNA phosphorothioate (PT) modifications, with the nonbridging phosphate oxygen replaced by sulfur, governed by DndABCDE or SspABCD, are widely distributed in prokaryotes and have a highly unusual feature of occupying only a small portion of available consensus sequences in a genome. Despite the presence of plentiful non-PT-protected consensuses, DNA PT modification is still employed as a recognition tag by the restriction cognate, for example, DndFGH or SspE, to discriminate and destroy PT-lacking foreign DNA. This raises a fundamental question about how PT modifications are distributed along DNA molecules to keep the restriction components in check. Here, we present two single-molecule strategies that take advantage of the nucleophilicity of PT in combination with fluorescent markers for optical mapping of both single- and double-stranded PT modifications across individual DNA molecules. Surprisingly, PT profiles vary markedly from molecule to molecule, with different PT locations and spacing distances between PT pairs, even in the presence of DndFGH or SspE. The results revealed unprecedented PT modification features previously obscured by ensemble averaging, providing novel insights into the riddles regarding unusual target selection by PT modification and restriction components.</p>]]></description>
            <pubDate><![CDATA[2021-03-25T00:00]]></pubDate>
        </item><item>
            <title><![CDATA[NOseq: amplicon sequencing evaluation method for RNA m<sup>6</sup>A sites after chemical deamination]]></title>
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            <link>https://www.novareader.co/book/isbn/10.1093/nar/gkaa1173</link>
            <description><![CDATA[<p class="para" id="N65541">Methods for the detection of m<sup>6</sup>A by RNA-Seq technologies are increasingly sought after. We here present NOseq, a method to detect m<sup>6</sup>A residues in defined amplicons by virtue of their resistance to chemical deamination, effected by nitrous acid. Partial deamination in NOseq affects all exocyclic amino groups present in nucleobases and thus also changes sequence information. The method uses a mapping algorithm specifically adapted to the sequence degeneration caused by deamination events. Thus, m<sup>6</sup>A sites with partial modification levels of ∼50% were detected in defined amplicons, and this threshold can be lowered to ∼10% by combination with m<sup>6</sup>A immunoprecipitation. NOseq faithfully detected known m<sup>6</sup>A sites in human rRNA, and the long non-coding RNA MALAT1, and positively validated several m<sup>6</sup>A candidate sites, drawn from miCLIP data with an m<sup>6</sup>A antibody, in the transcriptome of <i>Drosophila melanogaster</i>. Conceptually related to bisulfite sequencing, NOseq presents a novel amplicon-based sequencing approach for the validation of m<sup>6</sup>A sites in defined sequences.</p>]]></description>
            <pubDate><![CDATA[2020-12-11T00:00]]></pubDate>
        </item><item>
            <title><![CDATA[Decoding the epitranscriptional landscape from native RNA sequences]]></title>
            <media:thumbnail url="https://storage.googleapis.com/nova-demo-unsecured-files/unsecured/content-1765834540189-27a77f27-c16d-41c9-b1c9-c17828968f26/cover.png"></media:thumbnail>
            <link>https://www.novareader.co/book/isbn/10.1093/nar/gkaa620</link>
            <description><![CDATA[<p class="para" id="N65541">Traditional epitranscriptomics relies on capturing a single RNA modification by antibody or chemical treatment, combined with short-read sequencing to identify its transcriptomic location. This approach is labor-intensive and may introduce experimental artifacts. Direct sequencing of native RNA using Oxford Nanopore Technologies (ONT) can allow for directly detecting the RNA base modifications, although these modifications might appear as sequencing errors. The percent Error of Specific Bases (%ESB) was higher for native RNA than unmodified RNA, which enabled the detection of ribonucleotide modification sites. Based on the %ESB differences, we developed a bioinformatic tool, epitranscriptional landscape inferring from glitches of ONT signals (ELIGOS), that is based on various types of synthetic modified RNA and applied to rRNA and mRNA. ELIGOS is able to accurately predict known classes of RNA methylation sites (AUC &gt; 0.93) in rRNAs from <i>Escherichia</i><i>coli</i>, yeast, and human cells, using either unmodified <i>in vitro</i> transcription RNA or a background error model, which mimics the systematic error of direct RNA sequencing as the reference. The well-known DRACH/RRACH motif was localized and identified, consistent with previous studies, using differential analysis of ELIGOS to study the impact of RNA m<sup>6</sup>A methyltransferase by comparing wild type and knockouts in yeast and mouse cells. Lastly, the DRACH motif could also be identified in the mRNA of three human cell lines. The mRNA modification identified by ELIGOS is at the level of individual base resolution. In summary, we have developed a bioinformatic software package to uncover native RNA modifications.</p>]]></description>
            <pubDate><![CDATA[2020-07-25T00:00]]></pubDate>
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