Keeping in Touch with Type-III Secretion System Effectors: Mass Spectrometry-Based Proteomics to Study Effector-Host Protein-Protein Interactions.
Identifieur interne : 000117 ( Main/Exploration ); précédent : 000116; suivant : 000118Keeping in Touch with Type-III Secretion System Effectors: Mass Spectrometry-Based Proteomics to Study Effector-Host Protein-Protein Interactions.
Auteurs : Margaux De Meyer [Belgique] ; Joren De Ryck [Belgique] ; Sofie Goormachtig [Belgique] ; Petra Van Damme [Belgique]Source :
- International journal of molecular sciences [ 1422-0067 ] ; 2020.
Abstract
Manipulation of host cellular processes by translocated bacterial effectors is key to the success of bacterial pathogens and some symbionts. Therefore, a comprehensive understanding of effectors is of critical importance to understand infection biology. It has become increasingly clear that the identification of host protein targets contributes invaluable knowledge to the characterization of effector function during pathogenesis. Recent advances in mapping protein-protein interaction networks by means of mass spectrometry-based interactomics have enabled the identification of host targets at large-scale. In this review, we highlight mass spectrometry-driven proteomics strategies and recent advances to elucidate type-III secretion system effector-host protein-protein interactions. Furthermore, we highlight approaches for defining spatial and temporal effector-host interactions, and discuss possible avenues for studying natively delivered effectors in the context of infection. Overall, the knowledge gained when unravelling effector complexation with host factors will provide novel opportunities to control infectious disease outcomes.
DOI: 10.3390/ijms21186891
PubMed: 32961832
PubMed Central: PMC7555288
Affiliations:
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L. Ledeganckstraat 35, 9000 Ghent, Belgium.</nlm:affiliation><country xml:lang="fr">Belgique</country><wicri:regionArea>Department of Biochemistry and Microbiology, Ghent University, K. L. Ledeganckstraat 35, 9000 Ghent</wicri:regionArea><placeName><region type="province" nuts="2">Province de Flandre-Orientale</region><settlement type="city">Gand</settlement></placeName><orgName type="university">Université de Gand</orgName></affiliation></author></analytic><series><title level="j">International journal of molecular sciences</title><idno type="eISSN">1422-0067</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Manipulation of host cellular processes by translocated bacterial effectors is key to the success of bacterial pathogens and some symbionts. Therefore, a comprehensive understanding of effectors is of critical importance to understand infection biology. It has become increasingly clear that the identification of host protein targets contributes invaluable knowledge to the characterization of effector function during pathogenesis. Recent advances in mapping protein-protein interaction networks by means of mass spectrometry-based interactomics have enabled the identification of host targets at large-scale. In this review, we highlight mass spectrometry-driven proteomics strategies and recent advances to elucidate type-III secretion system effector-host protein-protein interactions. Furthermore, we highlight approaches for defining spatial and temporal effector-host interactions, and discuss possible avenues for studying natively delivered effectors in the context of infection. Overall, the knowledge gained when unravelling effector complexation with host factors will provide novel opportunities to control infectious disease outcomes.</div></front></TEI><pubmed><MedlineCitation Status="In-Process" Owner="NLM"><PMID Version="1">32961832</PMID><DateRevised><Year>2020</Year><Month>10</Month><Day>20</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1422-0067</ISSN><JournalIssue CitedMedium="Internet"><Volume>21</Volume><Issue>18</Issue><PubDate><Year>2020</Year><Month>Sep</Month><Day>19</Day></PubDate></JournalIssue><Title>International journal of molecular sciences</Title><ISOAbbreviation>Int J Mol Sci</ISOAbbreviation></Journal><ArticleTitle>Keeping in Touch with Type-III Secretion System Effectors: Mass Spectrometry-Based Proteomics to Study Effector-Host Protein-Protein Interactions.</ArticleTitle><ELocationID EIdType="pii" ValidYN="Y">E6891</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.3390/ijms21186891</ELocationID><Abstract><AbstractText>Manipulation of host cellular processes by translocated bacterial effectors is key to the success of bacterial pathogens and some symbionts. Therefore, a comprehensive understanding of effectors is of critical importance to understand infection biology. It has become increasingly clear that the identification of host protein targets contributes invaluable knowledge to the characterization of effector function during pathogenesis. Recent advances in mapping protein-protein interaction networks by means of mass spectrometry-based interactomics have enabled the identification of host targets at large-scale. In this review, we highlight mass spectrometry-driven proteomics strategies and recent advances to elucidate type-III secretion system effector-host protein-protein interactions. Furthermore, we highlight approaches for defining spatial and temporal effector-host interactions, and discuss possible avenues for studying natively delivered effectors in the context of infection. Overall, the knowledge gained when unravelling effector complexation with host factors will provide novel opportunities to control infectious disease outcomes.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Meyer</LastName><ForeName>Margaux De</ForeName><Initials>M</Initials><Identifier Source="ORCID">0000-0002-6961-0769</Identifier><AffiliationInfo><Affiliation>Department of Biochemistry and Microbiology, Ghent University, K. L. Ledeganckstraat 35, 9000 Ghent, Belgium.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>VIB Center for Medical Biotechnology, Technologiepark 75, 9052 Zwijnaarde, Belgium.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ryck</LastName><ForeName>Joren De</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Department of Biochemistry and Microbiology, Ghent University, K. L. Ledeganckstraat 35, 9000 Ghent, Belgium.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>VIB Center for Plant Systems Biology, Technologiepark 71, 9052 Zwijnaarde, Belgium.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 71, 9052 Zwijnaarde, Belgium.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Goormachtig</LastName><ForeName>Sofie</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>VIB Center for Plant Systems Biology, Technologiepark 71, 9052 Zwijnaarde, Belgium.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 71, 9052 Zwijnaarde, Belgium.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Van Damme</LastName><ForeName>Petra</ForeName><Initials>P</Initials><Identifier Source="ORCID">0000-0001-9090-027X</Identifier><AffiliationInfo><Affiliation>Department of Biochemistry and Microbiology, Ghent University, K. L. Ledeganckstraat 35, 9000 Ghent, Belgium.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>803972</GrantID><Agency>H2020 European Research Council</Agency><Country></Country></Grant><Grant><GrantID>G.0511.20N</GrantID><Agency>Fonds Wetenschappelijk Onderzoek</Agency><Country></Country></Grant><Grant><GrantID>1S83919N</GrantID><Agency>Fonds Wetenschappelijk Onderzoek</Agency><Country></Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D016454">Review</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>09</Month><Day>19</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Int J Mol Sci</MedlineTA><NlmUniqueID>101092791</NlmUniqueID><ISSNLinking>1422-0067</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">AP-MS</Keyword><Keyword MajorTopicYN="N">BioID</Keyword><Keyword MajorTopicYN="N">Virotrap</Keyword><Keyword MajorTopicYN="N">effectors</Keyword><Keyword MajorTopicYN="N">infection biology</Keyword><Keyword MajorTopicYN="N">interactomics</Keyword><Keyword MajorTopicYN="N">type-III secretion</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>08</Month><Day>30</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2020</Year><Month>09</Month><Day>15</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>09</Month><Day>16</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>9</Month><Day>23</Day><Hour>1</Hour><Minute>2</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>9</Month><Day>24</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate 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sort="Ryck, Joren De" uniqKey="Ryck J" first="Joren De" last="Ryck">Joren De Ryck</name><name sortKey="Ryck, Joren De" sort="Ryck, Joren De" uniqKey="Ryck J" first="Joren De" last="Ryck">Joren De Ryck</name><name sortKey="Ryck, Joren De" sort="Ryck, Joren De" uniqKey="Ryck J" first="Joren De" last="Ryck">Joren De Ryck</name><name sortKey="Van Damme, Petra" sort="Van Damme, Petra" uniqKey="Van Damme P" first="Petra" last="Van Damme">Petra Van Damme</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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