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PubMed XML.js
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{
"translatorID": "fcf41bed-0cbc-3704-85c7-8062a0068a7a",
"label": "PubMed XML",
"creator": "Simon Kornblith, Michael Berkowitz, Avram Lyon, and Rintze Zelle",
"target": "xml",
"minVersion": "2.1.9",
"maxVersion": "",
"priority": 100,
"configOptions": {
"dataMode": "xml/dom"
},
"inRepository": true,
"translatorType": 1,
"lastUpdated": "2021-07-21 03:05:39"
}
/*
***** BEGIN LICENSE BLOCK *****
Copyright © 2017-2020 Simon Kornblith, Michael Berkowitz, Avram Lyon, Sebastian Karcher, and Rintze Zelle
This file is part of Zotero.
Zotero is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Zotero is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with Zotero. If not, see <http://www.gnu.org/licenses/>.
***** END LICENSE BLOCK *****
*/
/*******************************
* Import translator functions *
*******************************/
function detectImport() {
var text = Zotero.read(1000);
return text.includes("<PubmedArticleSet>");
}
function processAuthors(newItem, authorsLists) {
for (var j = 0, m = authorsLists.length; j < m; j++) {
// default to 'author' unless it's 'editor'
var type = "author";
if (authorsLists[j].hasAttribute('Type')
&& authorsLists[j].getAttribute('Type') === "editors") {
type = "editor";
}
var authors = ZU.xpath(authorsLists[j], 'Author');
for (var k = 0, l = authors.length; k < l; k++) {
var author = authors[k];
var lastName = ZU.xpathText(author, 'LastName');
var firstName = ZU.xpathText(author, 'FirstName');
if (!firstName) {
firstName = ZU.xpathText(author, 'ForeName');
}
var suffix = ZU.xpathText(author, 'Suffix');
if (suffix && firstName) {
firstName += ", " + suffix;
}
if (firstName || lastName) {
var creator = ZU.cleanAuthor(lastName + ', ' + firstName, type, true);
if (creator.lastName.toUpperCase() == creator.lastName) {
creator.lastName = ZU.capitalizeTitle(creator.lastName, true);
}
if (creator.firstName.toUpperCase() == creator.firstName) {
creator.firstName = ZU.capitalizeTitle(creator.firstName, true);
}
newItem.creators.push(creator);
}
else if ((lastName = ZU.xpathText(author, 'CollectiveName'))) {
// corporate author
newItem.creators.push({
creatorType: type,
lastName: lastName,
fieldMode: 1
});
}
}
}
}
function doImport() {
var doc = Zotero.getXML();
var pageRangeRE = /(\d+)-(\d+)/g;
// handle journal articles
var articles = ZU.xpath(doc, '/PubmedArticleSet/PubmedArticle');
for (let i = 0, n = articles.length; i < n; i++) {
var newItem = new Zotero.Item("journalArticle");
var citation = ZU.xpath(articles[i], 'MedlineCitation')[0];
var article = ZU.xpath(citation, 'Article')[0];
let title = ZU.xpathText(article, 'ArticleTitle');
if (!title) title = ZU.xpathText(article, 'VernacularTitle');
if (title) {
if (title.charAt(title.length - 1) == ".") {
title = title.substring(0, title.length - 1);
}
newItem.title = title;
}
var fullPageRange = ZU.xpathText(article, 'Pagination/MedlinePgn');
if (fullPageRange) {
// where page ranges are given in an abbreviated format, convert to full
pageRangeRE.lastIndex = 0;
var range;
while ((range = pageRangeRE.exec(fullPageRange))) {
var pageRangeStart = range[1];
var pageRangeEnd = range[2];
var diff = pageRangeStart.length - pageRangeEnd.length;
if (diff > 0) {
pageRangeEnd = pageRangeStart.substring(0, diff) + pageRangeEnd;
var newRange = pageRangeStart + "-" + pageRangeEnd;
fullPageRange = fullPageRange.substring(0, range.index) // everything before current range
+ newRange // insert the new range
+ fullPageRange.substring(range.index + range[0].length); // everything after the old range
// adjust RE index
pageRangeRE.lastIndex += newRange.length - range[0].length;
}
}
newItem.pages = fullPageRange;
}
// use elocation pii when there's no page range
if (!newItem.pages) {
newItem.pages = ZU.xpathText(article, 'ELocationID[@EIdType="pii"]');
}
var journal = ZU.xpath(article, 'Journal')[0];
if (journal) {
newItem.ISSN = ZU.xpathText(journal, 'ISSN');
var abbreviation;
if ((abbreviation = ZU.xpathText(journal, 'ISOAbbreviation'))) {
newItem.journalAbbreviation = abbreviation;
}
else if ((abbreviation = ZU.xpathText(article, '//MedlineTA'))) {
newItem.journalAbbreviation = abbreviation;
}
let title = ZU.xpathText(journal, 'Title');
if (title) {
title = ZU.trimInternal(title);
// Fix sentence-cased titles, but be careful...
if (!( // of accronyms that could get messed up if we fix case
/\b[A-Z]{2}/.test(title) // this could mean that there's an accronym in the title
&& (title.toUpperCase() != title // the whole title isn't in upper case, so bail
|| !(/\s/.test(title))) // it's all in upper case and there's only one word, so we can't be sure
)) {
title = ZU.capitalizeTitle(title, true);
}
newItem.publicationTitle = title;
}
else if (newItem.journalAbbreviation) {
newItem.publicationTitle = newItem.journalAbbreviation;
}
// (do we want this?)
if (newItem.publicationTitle) {
newItem.publicationTitle = ZU.capitalizeTitle(newItem.publicationTitle);
}
var journalIssue = ZU.xpath(journal, 'JournalIssue')[0];
if (journalIssue) {
newItem.volume = ZU.xpathText(journalIssue, 'Volume');
newItem.issue = ZU.xpathText(journalIssue, 'Issue');
var pubDate = ZU.xpath(journalIssue, 'PubDate')[0];
if (pubDate) { // try to get the date
var day = ZU.xpathText(pubDate, 'Day');
var month = ZU.xpathText(pubDate, 'Month');
var year = ZU.xpathText(pubDate, 'Year');
if (day) {
// month appears in two different formats:
// 1. numeric, e.g. "07", see 4th test
if (month && /\d+/.test(month)) {
newItem.date = ZU.strToISO(year + "-" + month + "-" + day);
}
// 2. English acronym, e.g. "Aug", see 3rd test
else {
newItem.date = ZU.strToISO(month + " " + day + ", " + year);
}
}
else if (month) {
newItem.date = ZU.strToISO(month + "/" + year);
}
else if (year) {
newItem.date = year;
}
else {
newItem.date = ZU.xpathText(pubDate, 'MedlineDate');
}
}
}
}
var authorLists = ZU.xpath(article, 'AuthorList');
processAuthors(newItem, authorLists);
newItem.language = ZU.xpathText(article, 'Language');
var keywords = ZU.xpath(citation, 'MeshHeadingList/MeshHeading');
for (let j = 0, m = keywords.length; j < m; j++) {
newItem.tags.push(ZU.xpathText(keywords[j], 'DescriptorName'));
}
// OT Terms
var otherKeywords = ZU.xpath(citation, 'KeywordList/Keyword');
for (let j = 0, m = otherKeywords.length; j < m; j++) {
newItem.tags.push(otherKeywords[j].textContent);
}
var abstractSections = ZU.xpath(article, 'Abstract/AbstractText');
var abstractNote = [];
for (let j = 0, m = abstractSections.length; j < m; j++) {
var abstractSection = abstractSections[j];
var paragraph = abstractSection.textContent.trim();
if (paragraph) paragraph += '\n';
var label = abstractSection.hasAttribute("Label") && abstractSection.getAttribute("Label");
if (label && label != "UNLABELLED") {
paragraph = label + ": " + paragraph;
}
abstractNote.push(paragraph);
}
newItem.abstractNote = abstractNote.join('');
newItem.DOI = ZU.xpathText(articles[i], 'PubmedData/ArticleIdList/ArticleId[@IdType="doi"]');
var PMID = ZU.xpathText(citation, 'PMID');
var PMCID = ZU.xpathText(articles[i], 'PubmedData/ArticleIdList/ArticleId[@IdType="pmc"]');
if (PMID) {
newItem.extra = "PMID: " + PMID;
// this is a catalog, so we should store links as attachments
newItem.attachments.push({
title: "PubMed entry",
url: "http://www.ncbi.nlm.nih.gov/pubmed/" + PMID,
mimeType: "text/html",
snapshot: false
});
}
if (PMCID) {
newItem.extra = (newItem.extra ? newItem.extra + "\n" : "")
+ "PMCID: " + PMCID;
}
newItem.complete();
}
// handle books and chapters
var books = ZU.xpath(doc, '/PubmedArticleSet/PubmedBookArticle');
for (let i = 0, n = books.length; i < n; i++) {
let citation = ZU.xpath(books[i], 'BookDocument')[0];
// check if this is a section
var sectionTitle = ZU.xpathText(citation, 'ArticleTitle');
var isBookSection = !!sectionTitle;
// eslint-disable-next-line
var newItem = new Zotero.Item(isBookSection ? 'bookSection' : 'book');
if (isBookSection) {
newItem.title = sectionTitle;
}
var book = ZU.xpath(citation, 'Book')[0];
// title
let title = ZU.xpathText(book, 'BookTitle');
if (title) {
if (title.charAt(title.length - 1) == ".") {
title = title.substring(0, title.length - 1);
}
if (isBookSection) {
newItem.publicationTitle = title;
}
else {
newItem.title = title;
}
}
// date
// should only need year for books
newItem.date = ZU.xpathText(book, 'PubDate/Year');
// edition
newItem.edition = ZU.xpathText(book, 'Edition');
// series
newItem.series = ZU.xpathText(book, 'CollectionTitle');
// volume
newItem.volume = ZU.xpathText(book, 'Volume');
// place
newItem.place = ZU.xpathText(book, 'Publisher/PublisherLocation');
// publisher
newItem.publisher = ZU.xpathText(book, 'Publisher/PublisherName');
// chapter authors
if (isBookSection) {
let authorsLists = ZU.xpath(citation, 'AuthorList');
processAuthors(newItem, authorsLists);
}
// book creators
let authorsLists = ZU.xpath(book, 'AuthorList');
processAuthors(newItem, authorsLists);
// language
newItem.language = ZU.xpathText(citation, 'Language');
// abstractNote
newItem.abstractNote = ZU.xpathText(citation, 'Abstract/AbstractText');
// rights
newItem.rights = ZU.xpathText(citation, 'Abstract/CopyrightInformation');
// seriesNumber, numPages, numberOfVolumes
// not available
// ISBN
newItem.ISBN = ZU.xpathText(book, 'Isbn');
let PMID = ZU.xpathText(citation, 'PMID');
if (PMID) {
newItem.extra = "PMID: " + PMID;
// this is a catalog, so we should store links as attachments
newItem.attachments.push({
title: "PubMed entry",
url: "http://www.ncbi.nlm.nih.gov/pubmed/" + PMID,
mimeType: "text/html",
snapshot: false
});
}
newItem.callNumber = ZU.xpathText(citation,
'ArticleIdList/ArticleId[@IdType="bookaccession"]');
// attach link to the bookshelf page
if (newItem.callNumber) {
var url = "http://www.ncbi.nlm.nih.gov/books/" + newItem.callNumber + "/";
if (PMID) { // books with PMIDs appear to be hosted at NCBI
newItem.url = url;
// book sections have printable views, which can stand in for full text PDFs
if (newItem.itemType == 'bookSection') {
newItem.attachments.push({
title: "Printable HTML",
url: 'http://www.ncbi.nlm.nih.gov/books/'
+ newItem.callNumber + '/?report=printable',
mimeType: 'text/html',
snapshot: true
});
}
}
else { // currently this should not trigger, since we only import books with PMIDs
newItem.attachments.push({
title: "NCBI Bookshelf entry",
url: "http://www.ncbi.nlm.nih.gov/books/" + newItem.callNumber + "/",
mimeType: "text/html",
snapshot: false
});
}
}
newItem.complete();
}
}
/** BEGIN TEST CASES **/
var testCases = [
{
"type": "import",
"input": "<?xml version=\"1.0\"?>\n<!DOCTYPE PubmedArticleSet PUBLIC \"-//NLM//DTD PubMedArticle, 1st January 2015//EN\" \"http://www.ncbi.nlm.nih.gov/corehtml/query/DTD/pubmed_150101.dtd\">\n<PubmedArticleSet>\n<PubmedArticle>\n <MedlineCitation Owner=\"NLM\" Status=\"MEDLINE\">\n <PMID Version=\"1\">18157122</PMID>\n <DateCreated>\n <Year>2008</Year>\n <Month>01</Month>\n <Day>18</Day>\n </DateCreated>\n <DateCompleted>\n <Year>2008</Year>\n <Month>02</Month>\n <Day>08</Day>\n </DateCompleted>\n <DateRevised>\n <Year>2014</Year>\n <Month>07</Month>\n <Day>25</Day>\n </DateRevised>\n <Article PubModel=\"Print-Electronic\">\n <Journal>\n <ISSN IssnType=\"Electronic\">1552-4469</ISSN>\n <JournalIssue CitedMedium=\"Internet\">\n <Volume>4</Volume>\n <Issue>2</Issue>\n <PubDate>\n <Year>2008</Year>\n <Month>Feb</Month>\n </PubDate>\n </JournalIssue>\n <Title>Nature chemical biology</Title>\n <ISOAbbreviation>Nat. Chem. Biol.</ISOAbbreviation>\n </Journal>\n <ArticleTitle>High-content single-cell drug screening with phosphospecific flow cytometry.</ArticleTitle>\n <Pagination>\n <MedlinePgn>132-42</MedlinePgn>\n </Pagination>\n <Abstract>\n <AbstractText>Drug screening is often limited to cell-free assays involving purified enzymes, but it is arguably best applied against systems that represent disease states or complex physiological cellular networks. Here, we describe a high-content, cell-based drug discovery platform based on phosphospecific flow cytometry, or phosphoflow, that enabled screening for inhibitors against multiple endogenous kinase signaling pathways in heterogeneous primary cell populations at the single-cell level. From a library of small-molecule natural products, we identified pathway-selective inhibitors of Jak-Stat and MAP kinase signaling. Dose-response experiments in primary cells confirmed pathway selectivity, but importantly also revealed differential inhibition of cell types and new druggability trends across multiple compounds. Lead compound selectivity was confirmed in vivo in mice. Phosphoflow therefore provides a unique platform that can be applied throughout the drug discovery process, from early compound screening to in vivo testing and clinical monitoring of drug efficacy.</AbstractText>\n </Abstract>\n <AuthorList CompleteYN=\"Y\">\n <Author ValidYN=\"Y\">\n <LastName>Krutzik</LastName>\n <ForeName>Peter O</ForeName>\n <Initials>PO</Initials>\n <AffiliationInfo>\n <Affiliation>Department of Microbiology and Immunology, Baxter Laboratory in Genetic Pharmacology, Stanford University, 269 Campus Drive, Stanford, California 94305, USA.</Affiliation>\n </AffiliationInfo>\n </Author>\n <Author ValidYN=\"Y\">\n <LastName>Crane</LastName>\n <ForeName>Janelle M</ForeName>\n <Initials>JM</Initials>\n </Author>\n <Author ValidYN=\"Y\">\n <LastName>Clutter</LastName>\n <ForeName>Matthew R</ForeName>\n <Initials>MR</Initials>\n </Author>\n <Author ValidYN=\"Y\">\n <LastName>Nolan</LastName>\n <ForeName>Garry P</ForeName>\n <Initials>GP</Initials>\n </Author>\n 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Dairy Sci.</ISOAbbreviation>\n </Journal>\n <ArticleTitle>Evaluation of testing strategies to identify infected animals at a single round of testing within dairy herds known to be infected with Mycobacterium avium ssp. paratuberculosis.</ArticleTitle>\n <Pagination>\n <MedlinePgn>5194-210</MedlinePgn>\n </Pagination>\n <ELocationID EIdType=\"doi\" ValidYN=\"Y\">10.3168/jds.2014-8211</ELocationID>\n <ELocationID EIdType=\"pii\" ValidYN=\"Y\">S0022-0302(15)00395-1</ELocationID>\n <Abstract>\n <AbstractText>As part of a broader control strategy within herds known to be infected with Mycobacterium avium ssp. paratuberculosis (MAP), individual animal testing is generally conducted to identify infected animals for action, usually culling. Opportunities are now available to quantitatively compare different testing strategies (combinations of tests) in known infected herds. This study evaluates the effectiveness, cost, and cost-effectiveness of different testing strategies to identify infected animals at a single round of testing within dairy herds known to be MAP infected. A model was developed, taking account of both within-herd infection dynamics and test performance, to simulate the use of different tests at a single round of testing in a known infected herd. Model inputs included the number of animals at different stages of infection, the sensitivity and specificity of each test, and the costs of testing and culling. Testing strategies included either milk or serum ELISA alone or with fecal culture in series. Model outputs included effectiveness (detection fraction, the proportion of truly infected animals in the herd that are successfully detected by the testing strategy), cost, and cost-effectiveness (testing cost per true positive detected, total cost per true positive detected). 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Future work is needed to evaluate these testing strategies in subsequent rounds of testing as well as accounting for different herd dynamics and different levels of herd biocontainment.</AbstractText>\n <CopyrightInformation>Copyright © 2015 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.</CopyrightInformation>\n </Abstract>\n <AuthorList CompleteYN=\"Y\">\n <Author ValidYN=\"Y\">\n <LastName>More</LastName>\n <ForeName>S J</ForeName>\n <Initials>SJ</Initials>\n <AffiliationInfo>\n <Affiliation>Centre for Veterinary Epidemiology and Risk Analysis, UCD School of Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Ireland. 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Kildare, Ireland.</Affiliation>\n </AffiliationInfo>\n </Author>\n <Author ValidYN=\"Y\">\n <LastName>Fourichon</LastName>\n <ForeName>C</ForeName>\n <Initials>C</Initials>\n <AffiliationInfo>\n <Affiliation>INRA, Oniris, LUNAM Université, UMR1300 Biologie, Epidémiologie et Analyse de Risque en Santé Animale, CS 40706, F-44307 Nantes, France.</Affiliation>\n </AffiliationInfo>\n </Author>\n <Author ValidYN=\"Y\">\n <LastName>Graham</LastName>\n <ForeName>D</ForeName>\n <Initials>D</Initials>\n <AffiliationInfo>\n <Affiliation>Animal Health Ireland, Main Street, Carrick-on-Shannon, Co. Leitrim, Ireland.</Affiliation>\n </AffiliationInfo>\n </Author>\n </AuthorList>\n <Language>eng</Language>\n <PublicationTypeList>\n <PublicationType UI=\"D016428\">Journal Article</PublicationType>\n <PublicationType UI=\"D013485\">Research Support, Non-U.S. Gov't</PublicationType>\n </PublicationTypeList>\n <ArticleDate DateType=\"Electronic\">\n <Year>2015</Year>\n <Month>07</Month>\n <Day>07</Day>\n </ArticleDate>\n </Article>\n <MedlineJournalInfo>\n <Country>United States</Country>\n <MedlineTA>J Dairy Sci</MedlineTA>\n <NlmUniqueID>2985126R</NlmUniqueID>\n <ISSNLinking>0022-0302</ISSNLinking>\n </MedlineJournalInfo>\n <CitationSubset>IM</CitationSubset>\n <KeywordList Owner=\"NOTNLM\">\n <Keyword MajorTopicYN=\"N\">Johne’s disease</Keyword>\n <Keyword MajorTopicYN=\"N\">control</Keyword>\n <Keyword MajorTopicYN=\"N\">evaluation</Keyword>\n <Keyword MajorTopicYN=\"N\">infected herd</Keyword>\n <Keyword MajorTopicYN=\"N\">testing strategies</Keyword>\n </KeywordList>\n </MedlineCitation>\n <PubmedData>\n <History>\n <PubMedPubDate PubStatus=\"received\">\n <Year>2014</Year>\n <Month>4</Month>\n <Day>7</Day>\n </PubMedPubDate>\n <PubMedPubDate PubStatus=\"accepted\">\n <Year>2015</Year>\n <Month>4</Month>\n <Day>24</Day>\n </PubMedPubDate>\n <PubMedPubDate PubStatus=\"aheadofprint\">\n <Year>2015</Year>\n <Month>7</Month>\n <Day>7</Day>\n </PubMedPubDate>\n <PubMedPubDate PubStatus=\"entrez\">\n <Year>2015</Year>\n <Month>6</Month>\n <Day>16</Day>\n <Hour>6</Hour>\n <Minute>0</Minute>\n </PubMedPubDate>\n <PubMedPubDate PubStatus=\"pubmed\">\n <Year>2015</Year>\n <Month>6</Month>\n <Day>16</Day>\n <Hour>6</Hour>\n <Minute>0</Minute>\n </PubMedPubDate>\n <PubMedPubDate PubStatus=\"medline\">\n <Year>2015</Year>\n <Month>6</Month>\n <Day>16</Day>\n <Hour>6</Hour>\n <Minute>0</Minute>\n </PubMedPubDate>\n </History>\n <PublicationStatus>ppublish</PublicationStatus>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">26074225</ArticleId>\n <ArticleId IdType=\"pii\">S0022-0302(15)00395-1</ArticleId>\n <ArticleId IdType=\"doi\">10.3168/jds.2014-8211</ArticleId>\n </ArticleIdList>\n </PubmedData>\n</PubmedArticle>\n\n\n<PubmedArticle>\n <MedlineCitation Status=\"Publisher\" Owner=\"NLM\">\n <PMID Version=\"1\">26166904</PMID>\n <DateCreated>\n <Year>2015</Year>\n <Month>7</Month>\n <Day>13</Day>\n </DateCreated>\n <DateRevised>\n <Year>2015</Year>\n <Month>7</Month>\n <Day>19</Day>\n </DateRevised>\n <Article PubModel=\"Print\">\n <Journal>\n <ISSN IssnType=\"Print\">0035-9254</ISSN>\n <JournalIssue CitedMedium=\"Print\">\n <Volume>64</Volume>\n <Issue>4</Issue>\n <PubDate>\n <Year>2015</Year>\n <Month>Aug</Month>\n <Day>1</Day>\n </PubDate>\n </JournalIssue>\n <Title>Journal of the Royal Statistical Society. Series C, Applied statistics</Title>\n <ISOAbbreviation>J R Stat Soc Ser C Appl Stat</ISOAbbreviation>\n </Journal>\n <ArticleTitle>Optimal retesting configurations for hierarchical group testing.</ArticleTitle>\n <Pagination>\n <MedlinePgn>693-710</MedlinePgn>\n </Pagination>\n <Abstract>\n <AbstractText NlmCategory=\"UNASSIGNED\">Hierarchical group testing is widely used to test individuals for diseases. This testing procedure works by first amalgamating individual specimens into groups for testing. Groups testing negatively have their members declared negative. Groups testing positively are subsequently divided into smaller subgroups and are then retested to search for positive individuals. In our paper, we propose a new class of informative retesting procedures for hierarchical group testing that acknowledges heterogeneity among individuals. These procedures identify the optimal number of groups and their sizes at each testing stage in order to minimize the expected number of tests. We apply our proposals in two settings: 1) HIV testing programs that currently use three-stage hierarchical testing and 2) chlamydia and gonorrhea screening practices that currently use individual testing. 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"input": "<?xml version=\"1.0\" ?>\n <!DOCTYPE PubmedArticleSet PUBLIC \"-//NLM//DTD PubMedArticle, 1st January 2019//EN\" \"https://dtd.nlm.nih.gov/ncbi/pubmed/out/pubmed_190101.dtd\">\n <PubmedArticleSet>\n <PubmedArticle>\n <MedlineCitation Status=\"MEDLINE\" Owner=\"NLM\">\n <PMID Version=\"1\">30133126</PMID>\n <DateCompleted>\n <Year>2019</Year>\n <Month>01</Month>\n <Day>29</Day>\n </DateCompleted>\n <DateRevised>\n <Year>2019</Year>\n <Month>01</Month>\n <Day>29</Day>\n </DateRevised>\n <Article PubModel=\"Print-Electronic\">\n <Journal>\n <ISSN IssnType=\"Electronic\">1601-183X</ISSN>\n <JournalIssue CitedMedium=\"Internet\">\n <Volume>17</Volume>\n <Issue>8</Issue>\n <PubDate>\n <Year>2018</Year>\n <Month>11</Month>\n </PubDate>\n </JournalIssue>\n <Title>Genes, brain, and behavior</Title>\n <ISOAbbreviation>Genes Brain Behav</ISOAbbreviation>\n </Journal>\n <ArticleTitle>Neph2/Kirrel3 regulates sensory input, motor coordination, and home-cage activity in rodents.</ArticleTitle>\n <Pagination>\n <MedlinePgn>e12516</MedlinePgn>\n </Pagination>\n <ELocationID EIdType=\"doi\" ValidYN=\"Y\">10.1111/gbb.12516</ELocationID>\n <Abstract>\n <AbstractText>Adhesion molecules of the immunoglobulin superfamily (IgSF) are essential for neuronal synapse development across evolution and control various aspects of synapse formation and maturation. Neph2, also known as Kirrel3, is an IgSF adhesion molecule implicated in synapse formation, synaptic transmission and ultrastructure. In humans, defects in the NEPH2 gene have been associated with neurodevelopmental disorders such as Jacobsen syndrome, intellectual disability, and autism-spectrum disorders. However, the precise role in development and function of the nervous system is still unclear. Here, we present the histomorphological and phenotypical analysis of a constitutive Neph2-knockout mouse line. Knockout mice display defects in auditory sensory processing, motor skills, and hyperactivity in the home-cage analysis. Olfactory, memory and metabolic testing did not differ from controls. Despite the wide-spread expression of Neph2 in various brain areas, no gross anatomic defects could be observed. Neph2 protein could be located at the cerebellar pinceaux. It interacted with the pinceau core component neurofascin and other synaptic proteins thus suggesting a possible role in cerebellar synapse formation and circuit assembly. Our results suggest that Neph2/Kirrel3 acts on the synaptic ultrastructural level and neuronal wiring rather than on ontogenetic events affecting macroscopic structure. Neph2-knockout mice may provide a valuable rodent model for research on autism spectrum diseases and neurodevelopmental disorders.</AbstractText>\n <CopyrightInformation>© 2018 John Wiley & Sons Ltd and International Behavioural and Neural Genetics Society.</CopyrightInformation>\n </Abstract>\n <AuthorList CompleteYN=\"Y\">\n <Author ValidYN=\"Y\">\n <LastName>Völker</LastName>\n <ForeName>Linus A</ForeName>\n <Initials>LA</Initials>\n <Identifier Source=\"ORCID\">0000-0002-4461-6128</Identifier>\n <AffiliationInfo>\n <Affiliation>Department II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany.</Affiliation>\n </AffiliationInfo>\n </Author>\n <Author ValidYN=\"Y\">\n <LastName>Maar</LastName>\n <ForeName>Barbara A</ForeName>\n <Initials>BA</Initials>\n <AffiliationInfo>\n <Affiliation>Department II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany.</Affiliation>\n </AffiliationInfo>\n </Author>\n <Author ValidYN=\"Y\">\n <LastName>Pulido Guevara</LastName>\n <ForeName>Barbara A</ForeName>\n <Initials>BA</Initials>\n <AffiliationInfo>\n <Affiliation>Department II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany.</Affiliation>\n </AffiliationInfo>\n </Author>\n <Author ValidYN=\"Y\">\n <LastName>Bilkei-Gorzo</LastName>\n <ForeName>Andras</ForeName>\n <Initials>A</Initials>\n <AffiliationInfo>\n <Affiliation>Institute of Molecular Psychiatry, Medical Faculty of the University of Bonn, Bonn, Germany.</Affiliation>\n </AffiliationInfo>\n </Author>\n <Author ValidYN=\"Y\">\n <LastName>Zimmer</LastName>\n <ForeName>Andreas</ForeName>\n <Initials>A</Initials>\n <AffiliationInfo>\n <Affiliation>Institute of Molecular Psychiatry, Medical Faculty of the University of Bonn, Bonn, Germany.</Affiliation>\n </AffiliationInfo>\n </Author>\n <Author ValidYN=\"Y\">\n <LastName>Brönneke</LastName>\n <ForeName>Hella</ForeName>\n <Initials>H</Initials>\n <AffiliationInfo>\n <Affiliation>Mouse Phenotyping Core Facility, Cologne Excellence Cluster on Cellular Stress Responses (CECAD), 50931 Cologne, Germany.</Affiliation>\n </AffiliationInfo>\n </Author>\n <Author ValidYN=\"Y\">\n <LastName>Dafinger</LastName>\n <ForeName>Claudia</ForeName>\n <Initials>C</Initials>\n <AffiliationInfo>\n <Affiliation>Department II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany.</Affiliation>\n </AffiliationInfo>\n </Author>\n <Author ValidYN=\"Y\">\n <LastName>Bertsch</LastName>\n <ForeName>Sabine</ForeName>\n <Initials>S</Initials>\n <AffiliationInfo>\n <Affiliation>Department II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany.</Affiliation>\n </AffiliationInfo>\n </Author>\n <Author ValidYN=\"Y\">\n <LastName>Wagener</LastName>\n <ForeName>Jan-Robin</ForeName>\n <Initials>JR</Initials>\n <AffiliationInfo>\n <Affiliation>Institute for Neuroanatomy, Universitätsmedizin Göttingen, Georg-August-University Göttingen, Göttingen, Germany.</Affiliation>\n </AffiliationInfo>\n </Author>\n <Author ValidYN=\"Y\">\n <LastName>Schweizer</LastName>\n <ForeName>Heiko</ForeName>\n <Initials>H</Initials>\n <AffiliationInfo>\n <Affiliation>Renal Division, University Hospital Freiburg, Freiburg, Germany.</Affiliation>\n </AffiliationInfo>\n </Author>\n <Author ValidYN=\"Y\">\n <LastName>Schermer</LastName>\n <ForeName>Bernhard</ForeName>\n <Initials>B</Initials>\n <AffiliationInfo>\n <Affiliation>Department II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany.</Affiliation>\n </AffiliationInfo>\n <AffiliationInfo>\n <Affiliation>Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany.</Affiliation>\n </AffiliationInfo>\n <AffiliationInfo>\n <Affiliation>Systems Biology of Ageing Cologne (Sybacol), University of Cologne, Cologne, Germany.</Affiliation>\n </AffiliationInfo>\n </Author>\n <Author ValidYN=\"Y\">\n <LastName>Benzing</LastName>\n <ForeName>Thomas</ForeName>\n <Initials>T</Initials>\n <AffiliationInfo>\n <Affiliation>Department II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany.</Affiliation>\n </AffiliationInfo>\n <AffiliationInfo>\n <Affiliation>Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany.</Affiliation>\n </AffiliationInfo>\n <AffiliationInfo>\n <Affiliation>Systems Biology of Ageing Cologne (Sybacol), University of Cologne, Cologne, Germany.</Affiliation>\n </AffiliationInfo>\n </Author>\n <Author ValidYN=\"Y\">\n <LastName>Hoehne</LastName>\n <ForeName>Martin</ForeName>\n <Initials>M</Initials>\n <AffiliationInfo>\n <Affiliation>Department II of Internal Medicine 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"abstractNote": "Adhesion molecules of the immunoglobulin superfamily (IgSF) are essential for neuronal synapse development across evolution and control various aspects of synapse formation and maturation. Neph2, also known as Kirrel3, is an IgSF adhesion molecule implicated in synapse formation, synaptic transmission and ultrastructure. In humans, defects in the NEPH2 gene have been associated with neurodevelopmental disorders such as Jacobsen syndrome, intellectual disability, and autism-spectrum disorders. However, the precise role in development and function of the nervous system is still unclear. Here, we present the histomorphological and phenotypical analysis of a constitutive Neph2-knockout mouse line. Knockout mice display defects in auditory sensory processing, motor skills, and hyperactivity in the home-cage analysis. Olfactory, memory and metabolic testing did not differ from controls. Despite the wide-spread expression of Neph2 in various brain areas, no gross anatomic defects could be observed. Neph2 protein could be located at the cerebellar pinceaux. It interacted with the pinceau core component neurofascin and other synaptic proteins thus suggesting a possible role in cerebellar synapse formation and circuit assembly. Our results suggest that Neph2/Kirrel3 acts on the synaptic ultrastructural level and neuronal wiring rather than on ontogenetic events affecting macroscopic structure. Neph2-knockout mice may provide a valuable rodent model for research on autism spectrum diseases and neurodevelopmental disorders.",
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IdType=\"pubmed\">30714901</ArticleId>\n <ArticleId IdType=\"doi\">10.7554/eLife.42692</ArticleId>\n <ArticleId IdType=\"pii\">42692</ArticleId>\n <ArticleId IdType=\"pmc\">PMC6391070</ArticleId>\n </ArticleIdList>\n <ReferenceList>\n <Reference>\n <Citation>Annu Rev Cell Dev Biol. 2015;31:669-98</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">26393773</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Elife. 2019 Feb 04;8:</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">30714906</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Cell. 2013 Jul 3;154(1):228-39</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">23827685</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Development. 2004 Dec;131(24):6041-51</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">15537687</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Genetics. 2000 Oct;156(2):723-31</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">11014819</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Neuron. 2005 Dec 22;48(6):949-64</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">16364899</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>J Cachexia Sarcopenia Muscle. 2012 Mar;3(1):13-23</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">22450265</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Neuron. 1994 Aug;13(2):405-14</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">8060618</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Development. 2014 Dec;141(24):4667-80</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">25468936</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Adv Exp Med Biol. 2014;800:133-48</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">24243104</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>PLoS One. 2006 Dec 27;1:e122</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">17205126</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>J Neurosci. 1998 May 1;18(9):3297-313</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">9547238</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>PLoS Genet. 2018 Aug 13;14(8):e1007560</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">30102700</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>J Vis Exp. 2018 Oct 30;(140):</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">30451217</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Dev Biol. 2001 Jan 1;229(1):55-70</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">11133154</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Neuron. 2018 Feb 7;97(3):538-554.e5</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">29395908</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Curr Biol. 2016 Oct 24;26(20):R1022-R1038</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">27780045</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Nat Biotechnol. 2010 Apr;28(4):348-53</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">20231818</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Annu Rev Cell Dev Biol. 2009;25:161-95</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">19575668</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Nat Methods. 2011 Sep;8(9):737-43</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">21985007</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Cell. 2015 Dec 17;163(7):1756-69</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">26687360</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Cell Mol Life Sci. 2017 Nov;74(22):4133-4157</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">28631008</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Nat Commun. 2014 Jul 11;5:4342</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">25014658</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Elife. 2016 Feb 29;5:e11572</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">26926907</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>J Neurosci. 2009 May 27;29(21):6904-16</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">19474317</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Gene Expr Patterns. 2006 Mar;6(3):299-309</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">16378756</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Neuron. 2008 Dec 26;60(6):1039-53</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">19109910</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Neural Dev. 2018 Apr 19;13(1):6</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">29673388</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Cell. 2015 Dec 17;163(7):1770-1782</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">26687361</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Curr Opin Neurobiol. 2014 Aug;27:1-7</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">24598309</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Curr Opin Neurobiol. 2007 Feb;17(1):35-42</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">17229568</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Nat Methods. 2012 Jun 28;9(7):676-82</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">22743772</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Genetics. 2014 Jan;196(1):17-29</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">24395823</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Cell. 1993 Jun 18;73(6):1137-53</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">8513498</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Dev Biol. 1988 Dec;130(2):645-70</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">3058545</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Elife. 2018 Mar 05;7:</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">29504935</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Science. 1995 Feb 3;267(5198):688-93</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">7839146</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Annu Rev Cell Dev Biol. 2008;24:597-620</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">18837673</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Cold Spring Harb Perspect Biol. 2010 Mar;2(3):a001735</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">20300210</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Cell Rep. 2017 Oct 24;21(4):867-877</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">29069594</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>J Neurosci. 1989 Feb;9(2):710-25</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">2563766</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Neuron. 2015 May 20;86(4):955-970</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">25959734</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Elife. 2018 Mar 22;7:</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">29565247</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Brain Res. 1977 Aug 26;132(2):197-208</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">890480</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Neuron. 2017 Mar 22;93(6):1388-1404.e10</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">28285823</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Neuron. 2013 Oct 2;80(1):12-34</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">24094100</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Trends Neurosci. 2001 May;24(5):251-4</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">11311363</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Curr Opin Neurobiol. 2013 Dec;23(6):1018-26</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">23932598</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Genetics. 2016 Aug;203(4):1613-28</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">27334272</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Curr Opin Neurobiol. 2006 Feb;16(1):74-82</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">16386415</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Cell Rep. 2015 Mar 3;10(8):1410-21</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">25732830</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Cell. 1998 May 15;93(4):581-91</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">9604933</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>J Comp Neurol. 2012 Jun 1;520(8):1629-49</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">22120935</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Neuron. 2018 Dec 19;100(6):1385-1400.e6</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">30467080</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>PLoS Biol. 2003 Nov;1(2):E41</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">14624243</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Int J Dev Neurosci. 2001 Apr;19(2):175-82</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">11255031</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Nat Methods. 2012 Jul;9(7):671-5</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">22930834</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>J Neurophysiol. 2004 May;91(5):2353-65</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">14695352</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Neuron. 2018 Dec 19;100(6):1369-1384.e6</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">30467079</ArticleId>\n </ArticleIdList>\n </Reference>\n <Reference>\n <Citation>Elife. 2015 Mar 31;4:</Citation>\n <ArticleIdList>\n <ArticleId IdType=\"pubmed\">25824290</ArticleId>\n </ArticleIdList>\n </Reference>\n </ReferenceList>\n </PubmedData>\n </PubmedArticle>\n \n </PubmedArticleSet>",
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