Quantitative Proteomic and Phosphoproteomic Approaches for Deciphering the Signaling Pathway for Tension Wood Formation in Poplar.
Identifieur interne : 001C43 ( Main/Corpus ); précédent : 001C42; suivant : 001C44Quantitative Proteomic and Phosphoproteomic Approaches for Deciphering the Signaling Pathway for Tension Wood Formation in Poplar.
Auteurs : Mélanie Mauriat ; Jean-Charles Leplé ; Stéphane Claverol ; Jérôme Bartholomé ; Luc Negroni ; Nicolas Richet ; Céline Lalanne ; Marc Bonneu ; Catherine Coutand ; Christophe PlomionSource :
- Journal of proteome research [ 1535-3907 ] ; 2015.
English descriptors
- KwdEn :
- Amino Acid Sequence (MeSH), Cluster Analysis (MeSH), Gene Expression Regulation, Plant (MeSH), Gene Ontology (MeSH), Gene Regulatory Networks (MeSH), Gravitation (MeSH), Gravitropism (MeSH), Mass Spectrometry (MeSH), Molecular Sequence Data (MeSH), Peptides (genetics), Peptides (metabolism), Phosphopeptides (genetics), Phosphopeptides (metabolism), Phosphoproteins (genetics), Phosphoproteins (metabolism), Plant Proteins (classification), Plant Proteins (genetics), Plant Proteins (metabolism), Populus (genetics), Populus (metabolism), Proteome (classification), Proteome (genetics), Proteome (metabolism), Proteomics (methods), Signal Transduction (genetics), Wood (genetics), Wood (metabolism), Xylem (genetics), Xylem (metabolism).
- MESH :
- chemical , classification : Plant Proteins, Proteome.
- chemical , genetics : Peptides, Phosphopeptides, Phosphoproteins, Plant Proteins, Proteome.
- chemical , metabolism : Peptides, Phosphopeptides, Phosphoproteins, Plant Proteins, Proteome.
- genetics : Populus, Signal Transduction, Wood, Xylem.
- metabolism : Populus, Wood, Xylem.
- methods : Proteomics.
- Amino Acid Sequence, Cluster Analysis, Gene Expression Regulation, Plant, Gene Ontology, Gene Regulatory Networks, Gravitation, Gravitropism, Mass Spectrometry, Molecular Sequence Data.
Abstract
Trees adjust their growth following forced changes in orientation to re-establish a vertical position. In angiosperms, this adjustment involves the differential regulation of vascular cambial activity between the lower (opposite wood) and upper (tension wood) sides of the leaning stem. We investigated the molecular mechanisms leading to the formation of differential wood types through a quantitative proteomic and phosphoproteomic analysis on poplar subjected to a gravitropic stimulus. We identified and quantified 675 phosphopeptides, corresponding to 468 phosphoproteins, and 3 763 nonphosphorylated peptides, corresponding to 1 155 proteins, in the differentiating xylem of straight-growing trees (control) and trees subjected to a gravitational stimulus during 8 weeks. About 1% of the peptides were specific to a wood type (straight, opposite, or tension wood). Proteins quantified in more than one type of wood were more numerous: a mixed linear model showed 389 phosphopeptides and 556 proteins to differ in abundance between tension wood and opposite wood. Twenty-one percent of the phosphoproteins identified here were described in their phosphorylated form for the first time. Our analyses revealed remarkable developmental molecular plasticity, with wood type-specific phosphorylation events, and highlighted the involvement of different proteins in the biosynthesis of cell wall components during the formation of the three types of wood.
DOI: 10.1021/acs.jproteome.5b00140
PubMed: 26112267
Links to Exploration step
pubmed:26112267Le document en format XML
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Bordeaux, BIOGECO, UMR1202, F-33615 Pessac, France.</nlm:affiliation></affiliation></author><author><name sortKey="Leple, Jean Charles" sort="Leple, Jean Charles" uniqKey="Leple J" first="Jean-Charles" last="Leplé">Jean-Charles Leplé</name><affiliation><nlm:affiliation>§INRA, UR0588 AGPF, 2163 Avenue de la Pomme de Pin, CS 40001 Ardon, F-45075 Orléans Cedex 2, France.</nlm:affiliation></affiliation></author><author><name sortKey="Claverol, Stephane" sort="Claverol, Stephane" uniqKey="Claverol S" first="Stéphane" last="Claverol">Stéphane Claverol</name><affiliation><nlm:affiliation>⊥Plateforme Protéome, CGFB, Université Bordeaux Segalen, F-33076 Bordeaux, France.</nlm:affiliation></affiliation></author><author><name sortKey="Bartholome, Jerome" sort="Bartholome, Jerome" uniqKey="Bartholome J" first="Jérôme" last="Bartholomé">Jérôme Bartholomé</name><affiliation><nlm:affiliation>†INRA, UMR 1202 BIOGECO, F-33610 Cestas, France.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>‡Univ. 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Bordeaux, BIOGECO, UMR1202, F-33615 Pessac, France.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2015">2015</date><idno type="RBID">pubmed:26112267</idno><idno type="pmid">26112267</idno><idno type="doi">10.1021/acs.jproteome.5b00140</idno><idno type="wicri:Area/Main/Corpus">001C43</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">001C43</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Quantitative Proteomic and Phosphoproteomic Approaches for Deciphering the Signaling Pathway for Tension Wood Formation in Poplar.</title><author><name sortKey="Mauriat, Melanie" sort="Mauriat, Melanie" uniqKey="Mauriat M" first="Mélanie" last="Mauriat">Mélanie Mauriat</name><affiliation><nlm:affiliation>†INRA, UMR 1202 BIOGECO, F-33610 Cestas, France.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>‡Univ. Bordeaux, BIOGECO, UMR1202, F-33615 Pessac, France.</nlm:affiliation></affiliation></author><author><name sortKey="Leple, Jean Charles" sort="Leple, Jean Charles" uniqKey="Leple J" first="Jean-Charles" last="Leplé">Jean-Charles Leplé</name><affiliation><nlm:affiliation>§INRA, UR0588 AGPF, 2163 Avenue de la Pomme de Pin, CS 40001 Ardon, F-45075 Orléans Cedex 2, France.</nlm:affiliation></affiliation></author><author><name sortKey="Claverol, Stephane" sort="Claverol, Stephane" uniqKey="Claverol S" first="Stéphane" last="Claverol">Stéphane Claverol</name><affiliation><nlm:affiliation>⊥Plateforme Protéome, CGFB, Université Bordeaux Segalen, F-33076 Bordeaux, France.</nlm:affiliation></affiliation></author><author><name sortKey="Bartholome, Jerome" sort="Bartholome, Jerome" uniqKey="Bartholome J" first="Jérôme" last="Bartholomé">Jérôme Bartholomé</name><affiliation><nlm:affiliation>†INRA, UMR 1202 BIOGECO, F-33610 Cestas, France.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>‡Univ. Bordeaux, BIOGECO, UMR1202, F-33615 Pessac, France.</nlm:affiliation></affiliation></author><author><name sortKey="Negroni, Luc" sort="Negroni, Luc" uniqKey="Negroni L" first="Luc" last="Negroni">Luc Negroni</name><affiliation><nlm:affiliation>⊥Plateforme Protéome, CGFB, Université Bordeaux Segalen, F-33076 Bordeaux, France.</nlm:affiliation></affiliation></author><author><name sortKey="Richet, Nicolas" sort="Richet, Nicolas" uniqKey="Richet N" first="Nicolas" last="Richet">Nicolas Richet</name><affiliation><nlm:affiliation>§INRA, UR0588 AGPF, 2163 Avenue de la Pomme de Pin, CS 40001 Ardon, F-45075 Orléans Cedex 2, France.</nlm:affiliation></affiliation></author><author><name sortKey="Lalanne, Celine" sort="Lalanne, Celine" uniqKey="Lalanne C" first="Céline" last="Lalanne">Céline Lalanne</name><affiliation><nlm:affiliation>†INRA, UMR 1202 BIOGECO, F-33610 Cestas, France.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>‡Univ. Bordeaux, BIOGECO, UMR1202, F-33615 Pessac, France.</nlm:affiliation></affiliation></author><author><name sortKey="Bonneu, Marc" sort="Bonneu, Marc" uniqKey="Bonneu M" first="Marc" last="Bonneu">Marc Bonneu</name><affiliation><nlm:affiliation>⊥Plateforme Protéome, CGFB, Université Bordeaux Segalen, F-33076 Bordeaux, France.</nlm:affiliation></affiliation></author><author><name sortKey="Coutand, Catherine" sort="Coutand, Catherine" uniqKey="Coutand C" first="Catherine" last="Coutand">Catherine Coutand</name><affiliation><nlm:affiliation>¶INRA, UMR 547 PIAF, 234 Avenue du Brézet, F-63100 Clermont-Ferrand, France.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>∥Clermont Université, Université Blaise Pascal, UMR 547 PIAF, F-63100 Clermont-Ferrand, France.</nlm:affiliation></affiliation></author><author><name sortKey="Plomion, Christophe" sort="Plomion, Christophe" uniqKey="Plomion C" first="Christophe" last="Plomion">Christophe Plomion</name><affiliation><nlm:affiliation>†INRA, UMR 1202 BIOGECO, F-33610 Cestas, France.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>‡Univ. Bordeaux, BIOGECO, UMR1202, F-33615 Pessac, France.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Journal of proteome research</title><idno type="eISSN">1535-3907</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Amino Acid Sequence (MeSH)</term><term>Cluster Analysis (MeSH)</term><term>Gene Expression Regulation, Plant (MeSH)</term><term>Gene Ontology (MeSH)</term><term>Gene Regulatory Networks (MeSH)</term><term>Gravitation (MeSH)</term><term>Gravitropism (MeSH)</term><term>Mass Spectrometry (MeSH)</term><term>Molecular Sequence Data (MeSH)</term><term>Peptides (genetics)</term><term>Peptides (metabolism)</term><term>Phosphopeptides (genetics)</term><term>Phosphopeptides (metabolism)</term><term>Phosphoproteins (genetics)</term><term>Phosphoproteins (metabolism)</term><term>Plant Proteins (classification)</term><term>Plant Proteins (genetics)</term><term>Plant Proteins (metabolism)</term><term>Populus (genetics)</term><term>Populus (metabolism)</term><term>Proteome (classification)</term><term>Proteome (genetics)</term><term>Proteome (metabolism)</term><term>Proteomics (methods)</term><term>Signal Transduction (genetics)</term><term>Wood (genetics)</term><term>Wood (metabolism)</term><term>Xylem (genetics)</term><term>Xylem (metabolism)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="classification" xml:lang="en"><term>Plant Proteins</term><term>Proteome</term></keywords><keywords scheme="MESH" type="chemical" qualifier="genetics" xml:lang="en"><term>Peptides</term><term>Phosphopeptides</term><term>Phosphoproteins</term><term>Plant Proteins</term><term>Proteome</term></keywords><keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Peptides</term><term>Phosphopeptides</term><term>Phosphoproteins</term><term>Plant Proteins</term><term>Proteome</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Populus</term><term>Signal Transduction</term><term>Wood</term><term>Xylem</term></keywords><keywords scheme="MESH" qualifier="metabolism" xml:lang="en"><term>Populus</term><term>Wood</term><term>Xylem</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Proteomics</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Amino Acid Sequence</term><term>Cluster Analysis</term><term>Gene Expression Regulation, Plant</term><term>Gene Ontology</term><term>Gene Regulatory Networks</term><term>Gravitation</term><term>Gravitropism</term><term>Mass Spectrometry</term><term>Molecular Sequence Data</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Trees adjust their growth following forced changes in orientation to re-establish a vertical position. In angiosperms, this adjustment involves the differential regulation of vascular cambial activity between the lower (opposite wood) and upper (tension wood) sides of the leaning stem. We investigated the molecular mechanisms leading to the formation of differential wood types through a quantitative proteomic and phosphoproteomic analysis on poplar subjected to a gravitropic stimulus. We identified and quantified 675 phosphopeptides, corresponding to 468 phosphoproteins, and 3 763 nonphosphorylated peptides, corresponding to 1 155 proteins, in the differentiating xylem of straight-growing trees (control) and trees subjected to a gravitational stimulus during 8 weeks. About 1% of the peptides were specific to a wood type (straight, opposite, or tension wood). Proteins quantified in more than one type of wood were more numerous: a mixed linear model showed 389 phosphopeptides and 556 proteins to differ in abundance between tension wood and opposite wood. Twenty-one percent of the phosphoproteins identified here were described in their phosphorylated form for the first time. Our analyses revealed remarkable developmental molecular plasticity, with wood type-specific phosphorylation events, and highlighted the involvement of different proteins in the biosynthesis of cell wall components during the formation of the three types of wood.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">26112267</PMID><DateCompleted><Year>2016</Year><Month>06</Month><Day>06</Day></DateCompleted><DateRevised><Year>2015</Year><Month>08</Month><Day>07</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1535-3907</ISSN><JournalIssue CitedMedium="Internet"><Volume>14</Volume><Issue>8</Issue><PubDate><Year>2015</Year><Month>Aug</Month><Day>07</Day></PubDate></JournalIssue><Title>Journal of proteome research</Title><ISOAbbreviation>J Proteome Res</ISOAbbreviation></Journal><ArticleTitle>Quantitative Proteomic and Phosphoproteomic Approaches for Deciphering the Signaling Pathway for Tension Wood Formation in Poplar.</ArticleTitle><Pagination><MedlinePgn>3188-203</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1021/acs.jproteome.5b00140</ELocationID><Abstract><AbstractText>Trees adjust their growth following forced changes in orientation to re-establish a vertical position. In angiosperms, this adjustment involves the differential regulation of vascular cambial activity between the lower (opposite wood) and upper (tension wood) sides of the leaning stem. We investigated the molecular mechanisms leading to the formation of differential wood types through a quantitative proteomic and phosphoproteomic analysis on poplar subjected to a gravitropic stimulus. We identified and quantified 675 phosphopeptides, corresponding to 468 phosphoproteins, and 3 763 nonphosphorylated peptides, corresponding to 1 155 proteins, in the differentiating xylem of straight-growing trees (control) and trees subjected to a gravitational stimulus during 8 weeks. About 1% of the peptides were specific to a wood type (straight, opposite, or tension wood). Proteins quantified in more than one type of wood were more numerous: a mixed linear model showed 389 phosphopeptides and 556 proteins to differ in abundance between tension wood and opposite wood. Twenty-one percent of the phosphoproteins identified here were described in their phosphorylated form for the first time. Our analyses revealed remarkable developmental molecular plasticity, with wood type-specific phosphorylation events, and highlighted the involvement of different proteins in the biosynthesis of cell wall components during the formation of the three types of wood.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Mauriat</LastName><ForeName>Mélanie</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>†INRA, UMR 1202 BIOGECO, F-33610 Cestas, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>‡Univ. Bordeaux, BIOGECO, UMR1202, F-33615 Pessac, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Leplé</LastName><ForeName>Jean-Charles</ForeName><Initials>JC</Initials><AffiliationInfo><Affiliation>§INRA, UR0588 AGPF, 2163 Avenue de la Pomme de Pin, CS 40001 Ardon, F-45075 Orléans Cedex 2, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Claverol</LastName><ForeName>Stéphane</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>⊥Plateforme Protéome, CGFB, Université Bordeaux Segalen, F-33076 Bordeaux, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bartholomé</LastName><ForeName>Jérôme</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>†INRA, UMR 1202 BIOGECO, F-33610 Cestas, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>‡Univ. Bordeaux, BIOGECO, UMR1202, F-33615 Pessac, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Negroni</LastName><ForeName>Luc</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>⊥Plateforme Protéome, CGFB, Université Bordeaux Segalen, F-33076 Bordeaux, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Richet</LastName><ForeName>Nicolas</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>§INRA, UR0588 AGPF, 2163 Avenue de la Pomme de Pin, CS 40001 Ardon, F-45075 Orléans Cedex 2, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lalanne</LastName><ForeName>Céline</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>†INRA, UMR 1202 BIOGECO, F-33610 Cestas, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>‡Univ. Bordeaux, BIOGECO, UMR1202, F-33615 Pessac, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bonneu</LastName><ForeName>Marc</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>⊥Plateforme Protéome, CGFB, Université Bordeaux Segalen, F-33076 Bordeaux, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Coutand</LastName><ForeName>Catherine</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>¶INRA, UMR 547 PIAF, 234 Avenue du Brézet, F-63100 Clermont-Ferrand, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>∥Clermont Université, Université Blaise Pascal, UMR 547 PIAF, F-63100 Clermont-Ferrand, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Plomion</LastName><ForeName>Christophe</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>†INRA, UMR 1202 BIOGECO, F-33610 Cestas, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>‡Univ. Bordeaux, BIOGECO, UMR1202, F-33615 Pessac, France.</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>2015</Year><Month>07</Month><Day>08</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Proteome Res</MedlineTA><NlmUniqueID>101128775</NlmUniqueID><ISSNLinking>1535-3893</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D010455">Peptides</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D010748">Phosphopeptides</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D010750">Phosphoproteins</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D010940">Plant Proteins</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D020543">Proteome</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000595" MajorTopicYN="N">Amino Acid Sequence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016000" MajorTopicYN="N">Cluster Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018506" MajorTopicYN="N">Gene Expression Regulation, Plant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D063990" MajorTopicYN="N">Gene Ontology</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D053263" MajorTopicYN="N">Gene Regulatory Networks</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006112" MajorTopicYN="N">Gravitation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018522" MajorTopicYN="N">Gravitropism</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013058" MajorTopicYN="N">Mass Spectrometry</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008969" MajorTopicYN="N">Molecular Sequence Data</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010455" MajorTopicYN="N">Peptides</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010748" MajorTopicYN="N">Phosphopeptides</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010750" MajorTopicYN="N">Phosphoproteins</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010940" MajorTopicYN="N">Plant Proteins</DescriptorName><QualifierName UI="Q000145" MajorTopicYN="N">classification</QualifierName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D032107" MajorTopicYN="N">Populus</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D020543" MajorTopicYN="N">Proteome</DescriptorName><QualifierName UI="Q000145" MajorTopicYN="N">classification</QualifierName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D040901" MajorTopicYN="N">Proteomics</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015398" MajorTopicYN="N">Signal Transduction</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014934" MajorTopicYN="N">Wood</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D052584" MajorTopicYN="N">Xylem</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">cell wall</Keyword><Keyword MajorTopicYN="N">phosphoproteomics</Keyword><Keyword MajorTopicYN="N">poplar</Keyword><Keyword MajorTopicYN="N">proteomics</Keyword><Keyword MajorTopicYN="N">tension wood</Keyword><Keyword MajorTopicYN="N">wood formation</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2015</Year><Month>6</Month><Day>27</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2015</Year><Month>6</Month><Day>27</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2016</Year><Month>6</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">26112267</ArticleId><ArticleId IdType="doi">10.1021/acs.jproteome.5b00140</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Corpus/RBID.i -Sk "pubmed:26112267" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Corpus/biblio.hfd \
| NlmPubMed2Wicri -a PoplarV1
| This area was generated with Dilib version V0.6.37. |  |