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    <title>Nucleic Acids Research Advance Access</title>
    <link>http://academic.oup.com/nar</link>
    <description>
    </description>
    <language>en-us</language>
    <pubDate>Tue, 25 Sep 2018 00:00:00 GMT</pubDate>
    <lastBuildDate>Tue, 25 Sep 2018 00:47:47 GMT</lastBuildDate>
    <generator>Silverchair</generator>
    <item xmlns:rdf="https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gky869/5106468">
      <title>iProX: an integrated proteome resource</title>
      <link>https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gky869/5106468?rss=1</link>
      <pubDate>Tue, 25 Sep 2018 00:00:00 GMT</pubDate>
      <author>Ma J, Chen T, Wu S, et al. </author>
      <description>&lt;span class="paragraphSection"&gt;&lt;div class="boxTitle"&gt;Abstract&lt;/div&gt;Sharing of research data in public repositories has become best practice in academia. With the accumulation of massive data, network bandwidth and storage requirements are rapidly increasing. The ProteomeXchange (PX) consortium implements a mode of centralized metadata and distributed raw data management, which promotes effective data sharing. To facilitate open access of proteome data worldwide, we have developed the integrated proteome resource iProX (&lt;a href="http://www.iprox.org"&gt;http://www.iprox.org&lt;/a&gt;) as a public platform for collecting and sharing raw data, analysis results and metadata obtained from proteomics experiments. The iProX repository employs a web-based proteome data submission process and open sharing of mass spectrometry-based proteomics datasets. Also, it deploys extensive controlled vocabularies and ontologies to annotate proteomics datasets. Users can use a GUI to provide and access data through a fast Aspera-based transfer tool. iProX is a full member of the PX consortium; all released datasets are freely accessible to the public. iProX is based on a high availability architecture and has been deployed as part of the proteomics infrastructure of China, ensuring long-term and stable resource support. iProX will facilitate worldwide data analysis and sharing of proteomics experiments.&lt;/span&gt;</description>
      <prism:startingPage xmlns:prism="prism">gky869</prism:startingPage>
      <prism:doi xmlns:prism="prism">10.1093/nar/gky869</prism:doi>
      <guid>http://doi.org/10.1093/nar/gky869</guid>
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    <item xmlns:rdf="https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gky858/5106469">
      <title>Monitored eCLIP: high accuracy mapping of RNA-protein interactions</title>
      <link>https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gky858/5106469?rss=1</link>
      <pubDate>Tue, 25 Sep 2018 00:00:00 GMT</pubDate>
      <author>Hocq R, Paternina J, Alasseur Q, et al. </author>
      <description>&lt;span class="paragraphSection"&gt;&lt;div class="boxTitle"&gt;Abstract&lt;/div&gt;CLIP-seq methods provide transcriptome-wide snapshots of RNA-protein interactions in live cells. Reverse transcriptases stopping at cross-linked nucleotides sign for RNA-protein binding sites. Reading through cross-linked positions results in false binding site assignments. In the ‘monitored enhanced CLIP’ (meCLIP) method, a barcoded biotinylated linker is ligated at the 5′ end of cross-linked RNA fragments to purify RNA prior to the reverse transcription. cDNAs keeping the barcode sequence correspond to reverse transcription read-throughs. Read through occurs in unpredictable proportions, representing up to one fourth of total reads. Filtering out those reads strongly improves reliability and precision in protein binding site assignment.&lt;/span&gt;</description>
      <prism:startingPage xmlns:prism="prism">gky858</prism:startingPage>
      <prism:doi xmlns:prism="prism">10.1093/nar/gky858</prism:doi>
      <guid>http://doi.org/10.1093/nar/gky858</guid>
    </item>
    <item xmlns:rdf="https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gky836/5106470">
      <title>How bacterial xenogeneic silencer rok distinguishes foreign from self DNA in its resident genome</title>
      <link>https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gky836/5106470?rss=1</link>
      <pubDate>Tue, 25 Sep 2018 00:00:00 GMT</pubDate>
      <author>Duan B, Ding P, Hughes T, et al. </author>
      <description>&lt;span class="paragraphSection"&gt;&lt;div class="boxTitle"&gt;Abstract&lt;/div&gt;Bacterial xenogeneic silencers play important roles in bacterial evolution by recognizing and inhibiting expression from foreign genes acquired through horizontal gene transfer, thereby buffering against potential fitness consequences of their misregulated expression. Here, the detailed DNA binding properties of Rok, a xenogeneic silencer in &lt;span style="font-style:italic;"&gt;Bacillus subtilis&lt;/span&gt;, was studied using protein binding microarray, and the solution structure of its C-terminal DNA binding domain was determined in complex with DNA. The C-terminal domain of Rok adopts a typical winged helix fold, with a novel DNA recognition mechanism different from other winged helix proteins or xenogeneic silencers. Rok binds the DNA minor groove by forming hydrogen bonds to bases through N154, T156 at the N-terminal of α3 helix and R174 of wing W1, assisted by four lysine residues interacting electrostatically with DNA backbone phosphate groups. These structural features endow Rok with preference towards DNA sequences harboring AACTA, TACTA, and flexible multiple TpA steps, while rigid A-tracts are disfavored. Correspondingly, the &lt;span style="font-style:italic;"&gt;Bacillus&lt;/span&gt; genomes containing Rok are rich in A-tracts and show a dramatic underrepresentation of AACTA and TACTA, which are significantly enriched in Rok binding regions. These observations suggest that the xenogeneic silencing protein and its resident genome may have evolved cooperatively.&lt;/span&gt;</description>
      <prism:startingPage xmlns:prism="prism">gky836</prism:startingPage>
      <prism:doi xmlns:prism="prism">10.1093/nar/gky836</prism:doi>
      <guid>http://doi.org/10.1093/nar/gky836</guid>
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    <item xmlns:rdf="https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gky864/5106142">
      <title>HACER: an atlas of human active enhancers to interpret regulatory variants</title>
      <link>https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gky864/5106142?rss=1</link>
      <pubDate>Mon, 24 Sep 2018 00:00:00 GMT</pubDate>
      <author>Wang J, Dai X, Berry L, et al. </author>
      <description>&lt;span class="paragraphSection"&gt;&lt;div class="boxTitle"&gt;Abstract&lt;/div&gt;Recent studies have shown that disease-susceptibility variants frequently lie in cell-type-specific enhancer elements. To identify, interpret, and prioritize such risk variants, we must identify the enhancers active in disease-relevant cell types, their upstream transcription factor (TF) binding, and their downstream target genes. To address this need, we built HACER (&lt;a href="http://bioinfo.vanderbilt.edu/AE/HACER/"&gt;http://bioinfo.vanderbilt.edu/AE/HACER/&lt;/a&gt;), an atlas of Human ACtive Enhancers to interpret Regulatory variants. The HACER atlas catalogues and annotates in-vivo transcribed cell-type-specific enhancers, as well as placing enhancers within transcriptional regulatory networks by integrating ENCODE TF ChIP-Seq and predicted/validated chromatin interaction data. We demonstrate the utility of HACER in (i) offering a mechanistic hypothesis to explain the association of SNP rs614367 with ER-positive breast cancer risk, (ii) exploring tumor-specific enhancers in selective &lt;span style="font-style:italic;"&gt;MYC&lt;/span&gt; dysregulation and (iii) prioritizing/annotating non-coding regulatory regions targeting &lt;span style="font-style:italic;"&gt;CCND1&lt;/span&gt;. HACER provides a valuable resource for studies of GWAS, non-coding variants, and enhancer-mediated regulation.&lt;/span&gt;</description>
      <prism:startingPage xmlns:prism="prism">gky864</prism:startingPage>
      <prism:doi xmlns:prism="prism">10.1093/nar/gky864</prism:doi>
      <guid>http://doi.org/10.1093/nar/gky864</guid>
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    <item xmlns:rdf="https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gky863/5106143">
      <title>A monovalent ion in the DNA binding interface of the eukaryotic junction-resolving enzyme GEN1</title>
      <link>https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gky863/5106143?rss=1</link>
      <pubDate>Mon, 24 Sep 2018 00:00:00 GMT</pubDate>
      <author>Liu Y, Freeman A, Déclais A, et al. </author>
      <description>&lt;span class="paragraphSection"&gt;&lt;div class="boxTitle"&gt;Abstract&lt;/div&gt;GEN1 is a member of the FEN/EXO family of structure-selective nucleases that cleave 1 nt 3′ to a variety of branchpoints. For each, the H2TH motif binds a monovalent ion and plays an important role in binding one helical arm of the substrates. We investigate here the importance of this metal ion on substrate specificity and GEN1 structure. In the presence of K&lt;sup&gt;+&lt;/sup&gt; ions the substrate specificity is wider than in Na&lt;sup&gt;+&lt;/sup&gt;, yet four-way junctions remain the preferred substrate. In a combination of K&lt;sup&gt;+&lt;/sup&gt; and Mg&lt;sup&gt;2+&lt;/sup&gt; second strand cleavage is accelerated 17-fold, ensuring bilateral cleavage of the junction. We have solved crystal structures of &lt;span style="font-style:italic;"&gt;Chaetomium thermophilum&lt;/span&gt; GEN1 with Cs&lt;sup&gt;+&lt;/sup&gt;, K&lt;sup&gt;+&lt;/sup&gt; and Na&lt;sup&gt;+&lt;/sup&gt; bound. With bound Cs&lt;sup&gt;+&lt;/sup&gt; the loop of the H2TH motif extends toward the active site so that D199 coordinates a Mg&lt;sup&gt;2+&lt;/sup&gt;, buttressed by an interaction of the adjacent Y200. With the lighter ions bound the H2TH loop changes conformation and retracts away from the active site. We hypothesize this conformational change might play a role in second strand cleavage acceleration.&lt;/span&gt;</description>
      <prism:startingPage xmlns:prism="prism">gky863</prism:startingPage>
      <prism:doi xmlns:prism="prism">10.1093/nar/gky863</prism:doi>
      <guid>http://doi.org/10.1093/nar/gky863</guid>
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    <item xmlns:rdf="https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gky843/5106144">
      <title>AmtDB: a database of ancient human mitochondrial genomes</title>
      <link>https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gky843/5106144?rss=1</link>
      <pubDate>Mon, 24 Sep 2018 00:00:00 GMT</pubDate>
      <author>Ehler E, Novotný J, Juras A, et al. </author>
      <description>&lt;span class="paragraphSection"&gt;&lt;div class="boxTitle"&gt;Abstract&lt;/div&gt;Ancient mitochondrial DNA is used for tracing human past demographic events due to its population-level variability. The number of published ancient mitochondrial genomes has increased in recent years, alongside with the development of high-throughput sequencing and capture enrichment methods. Here, we present AmtDB, the first database of ancient human mitochondrial genomes. Release version contains 1107 hand-curated ancient samples, freely accessible for download, together with the individual descriptors, including geographic location, radiocarbon dating, and archaeological culture affiliation. The database also features an interactive map for sample location visualization. AmtDB is a key platform for ancient population genetic studies and is available at &lt;a href="https://amtdb.org"&gt;https://amtdb.org&lt;/a&gt;.&lt;/span&gt;</description>
      <prism:startingPage xmlns:prism="prism">gky843</prism:startingPage>
      <prism:doi xmlns:prism="prism">10.1093/nar/gky843</prism:doi>
      <guid>http://doi.org/10.1093/nar/gky843</guid>
    </item>
    <item xmlns:rdf="https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gky868/5106145">
      <title>The Comparative Toxicogenomics Database: update 2019</title>
      <link>https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gky868/5106145?rss=1</link>
      <pubDate>Mon, 24 Sep 2018 00:00:00 GMT</pubDate>
      <author>Davis A, Grondin C, Johnson R, et al. </author>
      <description>&lt;span class="paragraphSection"&gt;&lt;div class="boxTitle"&gt;Abstract&lt;/div&gt;The Comparative Toxicogenomics Database (CTD; &lt;a href="http://ctdbase.org/"&gt;http://ctdbase.org/&lt;/a&gt;) is a premier public resource for literature-based, manually curated associations between chemicals, gene products, phenotypes, diseases, and environmental exposures. In this biennial update, we present our new chemical–phenotype module that codes chemical-induced effects on phenotypes, curated using controlled vocabularies for chemicals, phenotypes, taxa, and anatomical descriptors; this module provides unique opportunities to explore cellular and system-level phenotypes of the pre-disease state and allows users to construct predictive adverse outcome pathways (linking chemical–gene molecular initiating events with phenotypic key events, diseases, and population-level health outcomes). We also report a 46% increase in CTD manually curated content, which when integrated with other datasets yields more than 38 million toxicogenomic relationships. We describe new querying and display features for our enhanced chemical–exposure science module, providing greater scope of content and utility. As well, we discuss an updated MEDIC disease vocabulary with over 1700 new terms and accession identifiers. To accommodate these increases in data content and functionality, CTD has upgraded its computational infrastructure. These updates continue to improve CTD and help inform new testable hypotheses about the etiology and mechanisms underlying environmentally influenced diseases.&lt;/span&gt;</description>
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      <prism:doi xmlns:prism="prism">10.1093/nar/gky868</prism:doi>
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