NACE: A web-based tool for prediction of intercompartmental efficiency of human molecular genetic networks.
Identifieur interne : 000C42 ( Main/Corpus ); précédent : 000C41; suivant : 000C43NACE: A web-based tool for prediction of intercompartmental efficiency of human molecular genetic networks.
Auteurs : Olga V. Popik ; Timofey V. Ivanisenko ; Olga V. Saik ; Evgeny D. Petrovskiy ; Inna N. Lavrik ; Vladimir A. IvanisenkoSource :
- Virus research [ 1872-7492 ] ; 2016.
English descriptors
- KwdEn :
- Apoptosis (genetics), Cell Compartmentation (MeSH), Checkpoint Kinase 2 (genetics), Checkpoint Kinase 2 (metabolism), Gene Expression Regulation (MeSH), Gene Regulatory Networks (MeSH), Hepacivirus (genetics), Hepacivirus (metabolism), Hepatitis C (genetics), Hepatitis C (metabolism), Hepatitis C (virology), Hepatocytes (metabolism), Hepatocytes (virology), Host-Pathogen Interactions (MeSH), Humans (MeSH), Metabolic Networks and Pathways (genetics), NF-kappa B (genetics), NF-kappa B (metabolism), Organ Specificity (MeSH), Proto-Oncogene Proteins c-akt (genetics), Proto-Oncogene Proteins c-akt (metabolism), Software (MeSH), TNF-Related Apoptosis-Inducing Ligand (genetics), TNF-Related Apoptosis-Inducing Ligand (metabolism), Viral Nonstructural Proteins (genetics), Viral Nonstructural Proteins (metabolism).
- MESH :
- chemical , genetics : Checkpoint Kinase 2, NF-kappa B, Proto-Oncogene Proteins c-akt, TNF-Related Apoptosis-Inducing Ligand, Viral Nonstructural Proteins.
- genetics : Apoptosis, Hepacivirus, Hepatitis C, Metabolic Networks and Pathways.
- chemical , metabolism : Checkpoint Kinase 2, Hepacivirus, Hepatitis C, Hepatocytes, NF-kappa B, Proto-Oncogene Proteins c-akt, TNF-Related Apoptosis-Inducing Ligand, Viral Nonstructural Proteins.
- virology : Hepatitis C, Hepatocytes.
- Cell Compartmentation, Gene Expression Regulation, Gene Regulatory Networks, Host-Pathogen Interactions, Humans, Organ Specificity, Software.
Abstract
Molecular genetic processes generally involve proteins from distinct intracellular localisations. Reactions that follow the same process are distributed among various compartments within the cell. In this regard, the reaction rate and the efficiency of biological processes can depend on the subcellular localisation of proteins. Previously, the authors proposed a method of evaluating the efficiency of biological processes based on the analysis of the distribution of protein subcellular localisation (Popik et al., 2014). Here, NACE is presented, which is an open access web-oriented program that implements this method and allows the user to evaluate the intercompartmental efficiency of human molecular genetic networks. The method has been extended by a new feature that provides the evaluation of the tissue-specific efficiency of networks for more than 2800 anatomical structures. Such assessments are important in cases when molecular genetic pathways in different tissues proceed with the participation of various proteins with a number of intracellular localisations. For example, an analysis of KEGG pathways, conducted using the developed program, showed that the efficiencies of many KEGG pathways are tissue-specific. Analysis of efficiencies of regulatory pathways in the liver, linking proteins of the hepatitis C virus with human proteins involved in the KEGG apoptosis pathway, showed that intercompartmental efficiency might play an important role in host-pathogen interactions. Thus, the developed tool can be useful in the study of the effectiveness of functioning of various molecular genetic networks, including metabolic, regulatory, host-pathogen interactions and others taking into account tissue-specific gene expression. The tool is available via the following link: http://www-bionet.sscc.ru/nace/.
DOI: 10.1016/j.virusres.2015.11.029
PubMed: 27109913
Links to Exploration step
pubmed:27109913Le document en format XML
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Ivanisenko</name><affiliation><nlm:affiliation>The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia; PB-soft, LLC, Novosibirsk, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia; Novosibirsk State University, Novosibirsk-90, Novosibirsk, 630090, Russia.</nlm:affiliation></affiliation></author><author><name sortKey="Saik, Olga V" sort="Saik, Olga V" uniqKey="Saik O" first="Olga V" last="Saik">Olga V. 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Popik</name><affiliation><nlm:affiliation>The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia.</nlm:affiliation></affiliation></author><author><name sortKey="Ivanisenko, Timofey V" sort="Ivanisenko, Timofey V" uniqKey="Ivanisenko T" first="Timofey V" last="Ivanisenko">Timofey V. Ivanisenko</name><affiliation><nlm:affiliation>The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia; PB-soft, LLC, Novosibirsk, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia; Novosibirsk State University, Novosibirsk-90, Novosibirsk, 630090, Russia.</nlm:affiliation></affiliation></author><author><name sortKey="Saik, Olga V" sort="Saik, Olga V" uniqKey="Saik O" first="Olga V" last="Saik">Olga V. Saik</name><affiliation><nlm:affiliation>The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia; PB-soft, LLC, Novosibirsk, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia.</nlm:affiliation></affiliation></author><author><name sortKey="Petrovskiy, Evgeny D" sort="Petrovskiy, Evgeny D" uniqKey="Petrovskiy E" first="Evgeny D" last="Petrovskiy">Evgeny D. Petrovskiy</name><affiliation><nlm:affiliation>The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia; International Tomography Center SB RAS, Institutskaya 3A, Novosibirsk, 630090, Russia.</nlm:affiliation></affiliation></author><author><name sortKey="Lavrik, Inna N" sort="Lavrik, Inna N" uniqKey="Lavrik I" first="Inna N" last="Lavrik">Inna N. Lavrik</name><affiliation><nlm:affiliation>The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia; Otto von Guericke University Magdeburg, Medical Faculty, Department Translational Inflammation Research, Pfälzer Platz Building 28, Magdeburg, 39106, Germany.</nlm:affiliation></affiliation></author><author><name sortKey="Ivanisenko, Vladimir A" sort="Ivanisenko, Vladimir A" uniqKey="Ivanisenko V" first="Vladimir A" last="Ivanisenko">Vladimir A. Ivanisenko</name><affiliation><nlm:affiliation>The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia; PB-soft, LLC, Novosibirsk, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia. Electronic address: salix@bionet.nsc.ru.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Virus research</title><idno type="eISSN">1872-7492</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Apoptosis (genetics)</term><term>Cell Compartmentation (MeSH)</term><term>Checkpoint Kinase 2 (genetics)</term><term>Checkpoint Kinase 2 (metabolism)</term><term>Gene Expression Regulation (MeSH)</term><term>Gene Regulatory Networks (MeSH)</term><term>Hepacivirus (genetics)</term><term>Hepacivirus (metabolism)</term><term>Hepatitis C (genetics)</term><term>Hepatitis C (metabolism)</term><term>Hepatitis C (virology)</term><term>Hepatocytes (metabolism)</term><term>Hepatocytes (virology)</term><term>Host-Pathogen Interactions (MeSH)</term><term>Humans (MeSH)</term><term>Metabolic Networks and Pathways (genetics)</term><term>NF-kappa B (genetics)</term><term>NF-kappa B (metabolism)</term><term>Organ Specificity (MeSH)</term><term>Proto-Oncogene Proteins c-akt (genetics)</term><term>Proto-Oncogene Proteins c-akt (metabolism)</term><term>Software (MeSH)</term><term>TNF-Related Apoptosis-Inducing Ligand (genetics)</term><term>TNF-Related Apoptosis-Inducing Ligand (metabolism)</term><term>Viral Nonstructural Proteins (genetics)</term><term>Viral Nonstructural Proteins (metabolism)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="genetics" xml:lang="en"><term>Checkpoint Kinase 2</term><term>NF-kappa B</term><term>Proto-Oncogene Proteins c-akt</term><term>TNF-Related Apoptosis-Inducing Ligand</term><term>Viral Nonstructural Proteins</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Apoptosis</term><term>Hepacivirus</term><term>Hepatitis C</term><term>Metabolic Networks and Pathways</term></keywords><keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Checkpoint Kinase 2</term><term>Hepacivirus</term><term>Hepatitis C</term><term>Hepatocytes</term><term>NF-kappa B</term><term>Proto-Oncogene Proteins c-akt</term><term>TNF-Related Apoptosis-Inducing Ligand</term><term>Viral Nonstructural Proteins</term></keywords><keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Hepatitis C</term><term>Hepatocytes</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Cell Compartmentation</term><term>Gene Expression Regulation</term><term>Gene Regulatory Networks</term><term>Host-Pathogen Interactions</term><term>Humans</term><term>Organ Specificity</term><term>Software</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Molecular genetic processes generally involve proteins from distinct intracellular localisations. Reactions that follow the same process are distributed among various compartments within the cell. In this regard, the reaction rate and the efficiency of biological processes can depend on the subcellular localisation of proteins. Previously, the authors proposed a method of evaluating the efficiency of biological processes based on the analysis of the distribution of protein subcellular localisation (Popik et al., 2014). Here, NACE is presented, which is an open access web-oriented program that implements this method and allows the user to evaluate the intercompartmental efficiency of human molecular genetic networks. The method has been extended by a new feature that provides the evaluation of the tissue-specific efficiency of networks for more than 2800 anatomical structures. Such assessments are important in cases when molecular genetic pathways in different tissues proceed with the participation of various proteins with a number of intracellular localisations. For example, an analysis of KEGG pathways, conducted using the developed program, showed that the efficiencies of many KEGG pathways are tissue-specific. Analysis of efficiencies of regulatory pathways in the liver, linking proteins of the hepatitis C virus with human proteins involved in the KEGG apoptosis pathway, showed that intercompartmental efficiency might play an important role in host-pathogen interactions. Thus, the developed tool can be useful in the study of the effectiveness of functioning of various molecular genetic networks, including metabolic, regulatory, host-pathogen interactions and others taking into account tissue-specific gene expression. The tool is available via the following link: http://www-bionet.sscc.ru/nace/.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">27109913</PMID><DateCompleted><Year>2017</Year><Month>12</Month><Day>06</Day></DateCompleted><DateRevised><Year>2017</Year><Month>12</Month><Day>18</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1872-7492</ISSN><JournalIssue CitedMedium="Internet"><Volume>218</Volume><PubDate><Year>2016</Year><Month>06</Month><Day>15</Day></PubDate></JournalIssue><Title>Virus research</Title><ISOAbbreviation>Virus Res</ISOAbbreviation></Journal><ArticleTitle>NACE: A web-based tool for prediction of intercompartmental efficiency of human molecular genetic networks.</ArticleTitle><Pagination><MedlinePgn>79-85</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.virusres.2015.11.029</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S0168-1702(15)30132-5</ELocationID><Abstract><AbstractText>Molecular genetic processes generally involve proteins from distinct intracellular localisations. Reactions that follow the same process are distributed among various compartments within the cell. In this regard, the reaction rate and the efficiency of biological processes can depend on the subcellular localisation of proteins. Previously, the authors proposed a method of evaluating the efficiency of biological processes based on the analysis of the distribution of protein subcellular localisation (Popik et al., 2014). Here, NACE is presented, which is an open access web-oriented program that implements this method and allows the user to evaluate the intercompartmental efficiency of human molecular genetic networks. The method has been extended by a new feature that provides the evaluation of the tissue-specific efficiency of networks for more than 2800 anatomical structures. Such assessments are important in cases when molecular genetic pathways in different tissues proceed with the participation of various proteins with a number of intracellular localisations. For example, an analysis of KEGG pathways, conducted using the developed program, showed that the efficiencies of many KEGG pathways are tissue-specific. Analysis of efficiencies of regulatory pathways in the liver, linking proteins of the hepatitis C virus with human proteins involved in the KEGG apoptosis pathway, showed that intercompartmental efficiency might play an important role in host-pathogen interactions. Thus, the developed tool can be useful in the study of the effectiveness of functioning of various molecular genetic networks, including metabolic, regulatory, host-pathogen interactions and others taking into account tissue-specific gene expression. The tool is available via the following link: http://www-bionet.sscc.ru/nace/.</AbstractText><CopyrightInformation>Copyright © 2016 Elsevier B.V. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Popik</LastName><ForeName>Olga V</ForeName><Initials>OV</Initials><AffiliationInfo><Affiliation>The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ivanisenko</LastName><ForeName>Timofey V</ForeName><Initials>TV</Initials><AffiliationInfo><Affiliation>The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia; PB-soft, LLC, Novosibirsk, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia; Novosibirsk State University, Novosibirsk-90, Novosibirsk, 630090, Russia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Saik</LastName><ForeName>Olga V</ForeName><Initials>OV</Initials><AffiliationInfo><Affiliation>The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia; PB-soft, LLC, Novosibirsk, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Petrovskiy</LastName><ForeName>Evgeny D</ForeName><Initials>ED</Initials><AffiliationInfo><Affiliation>The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia; International Tomography Center SB RAS, Institutskaya 3A, Novosibirsk, 630090, Russia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lavrik</LastName><ForeName>Inna N</ForeName><Initials>IN</Initials><AffiliationInfo><Affiliation>The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia; Otto von Guericke University Magdeburg, Medical Faculty, Department Translational Inflammation Research, Pfälzer Platz Building 28, Magdeburg, 39106, Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ivanisenko</LastName><ForeName>Vladimir A</ForeName><Initials>VA</Initials><AffiliationInfo><Affiliation>The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia; PB-soft, LLC, Novosibirsk, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia. Electronic address: salix@bionet.nsc.ru.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2016</Year><Month>04</Month><Day>22</Day></ArticleDate></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Virus Res</MedlineTA><NlmUniqueID>8410979</NlmUniqueID><ISSNLinking>0168-1702</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D016328">NF-kappa B</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="C087036">NS-5 protein, hepatitis C virus</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D053221">TNF-Related Apoptosis-Inducing Ligand</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="C505653">TNFSF10 protein, human</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D017361">Viral Nonstructural Proteins</NameOfSubstance></Chemical><Chemical><RegistryNumber>EC 2.7.1.11</RegistryNumber><NameOfSubstance UI="D064447">Checkpoint Kinase 2</NameOfSubstance></Chemical><Chemical><RegistryNumber>EC 2.7.11.1</RegistryNumber><NameOfSubstance UI="C578634">CHEK2 protein, human</NameOfSubstance></Chemical><Chemical><RegistryNumber>EC 2.7.11.1</RegistryNumber><NameOfSubstance UI="D051057">Proto-Oncogene Proteins c-akt</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D017209" MajorTopicYN="N">Apoptosis</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002451" MajorTopicYN="N">Cell Compartmentation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D064447" MajorTopicYN="N">Checkpoint Kinase 2</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005786" MajorTopicYN="N">Gene Expression Regulation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D053263" MajorTopicYN="Y">Gene Regulatory Networks</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016174" MajorTopicYN="N">Hepacivirus</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006526" MajorTopicYN="N">Hepatitis C</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName><QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D022781" MajorTopicYN="N">Hepatocytes</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName><QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D054884" MajorTopicYN="N">Host-Pathogen Interactions</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D053858" MajorTopicYN="N">Metabolic Networks and Pathways</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016328" MajorTopicYN="N">NF-kappa B</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D009928" MajorTopicYN="N">Organ Specificity</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D051057" MajorTopicYN="N">Proto-Oncogene Proteins c-akt</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012984" MajorTopicYN="Y">Software</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D053221" MajorTopicYN="N">TNF-Related Apoptosis-Inducing Ligand</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D017361" MajorTopicYN="N">Viral Nonstructural Proteins</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">ANDSystem</Keyword><Keyword MajorTopicYN="Y">Biological processes</Keyword><Keyword MajorTopicYN="Y">Intercompartmental efficiency</Keyword><Keyword MajorTopicYN="Y">Intracellular localization</Keyword><Keyword MajorTopicYN="Y">Molecular genetic network</Keyword><Keyword MajorTopicYN="Y">Protein-protein interactions</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2015</Year><Month>07</Month><Day>18</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2015</Year><Month>10</Month><Day>25</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2015</Year><Month>11</Month><Day>23</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>4</Month><Day>26</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate 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