Subcellular proteomic analysis of human host cells infected with H3N2 swine influenza virus.
Identifieur interne : 001059 ( Main/Merge ); précédent : 001058; suivant : 001060Subcellular proteomic analysis of human host cells infected with H3N2 swine influenza virus.
Auteurs : Xiaopeng Wu [République populaire de Chine] ; Sanying Wang ; Yang Yu ; Jinyang Zhang ; Zeyu Sun ; Yan Yan ; Jiyong ZhouSource :
- Proteomics [ 1615-9861 ] ; 2013.
Descripteurs français
- KwdFr :
- Données de séquences moléculaires, Espace intracellulaire (), Espace intracellulaire (métabolisme), Espace intracellulaire (virologie), Humains, Interactions hôte-pathogène (physiologie), Lignée cellulaire, Microscopie confocale, Protéines (), Protéines (analyse), Protéines (métabolisme), Protéome (), Protéome (analyse), Protéome (métabolisme), Sous-type H3N2 du virus de la grippe A (physiologie), Spectrométrie de masse, Séquence d'acides aminés, Technique de Western, Transcriptome, Électrophorèse bidimensionnelle sur gel.
- MESH :
- analyse : Protéines, Protéome.
- métabolisme : Espace intracellulaire, Protéines, Protéome.
- physiologie : Interactions hôte-pathogène, Sous-type H3N2 du virus de la grippe A.
- virologie : Espace intracellulaire.
- Données de séquences moléculaires, Espace intracellulaire, Humains, Lignée cellulaire, Microscopie confocale, Protéines, Protéome, Spectrométrie de masse, Séquence d'acides aminés, Technique de Western, Transcriptome, Électrophorèse bidimensionnelle sur gel.
English descriptors
- KwdEn :
- Amino Acid Sequence, Blotting, Western, Cell Line, Electrophoresis, Gel, Two-Dimensional, Host-Pathogen Interactions (physiology), Humans, Influenza A Virus, H3N2 Subtype (physiology), Intracellular Space (chemistry), Intracellular Space (metabolism), Intracellular Space (virology), Mass Spectrometry, Microscopy, Confocal, Molecular Sequence Data, Proteins (analysis), Proteins (chemistry), Proteins (classification), Proteins (metabolism), Proteome (analysis), Proteome (chemistry), Proteome (metabolism), Transcriptome.
- MESH :
- chemical , analysis : Proteins, Proteome.
- chemistry : Intracellular Space, Proteins, Proteome.
- chemical , classification : Proteins.
- metabolism : Intracellular Space, Proteins, Proteome.
- physiology : Host-Pathogen Interactions, Influenza A Virus, H3N2 Subtype.
- virology : Intracellular Space.
- Amino Acid Sequence, Blotting, Western, Cell Line, Electrophoresis, Gel, Two-Dimensional, Humans, Mass Spectrometry, Microscopy, Confocal, Molecular Sequence Data, Transcriptome.
Abstract
Cross-species transmissions of swine influenza viruses (SIVs) raise great public health concerns. In this study, subcellular proteomic profiles of human A549 cells inoculated with H3N2 subtype SIV were used to characterize dynamic cellular responses to infection. By 2DE and MS, 27 differentially expressed (13 upregulated, 14 downregulated) cytoplasmic proteins and 20 differentially expressed (13 upregulated, 7 downregulated) nuclear proteins were identified. Gene ontology analysis suggested that these differentially expressed proteins were mainly involved in cell death, stress response, lipid metabolism, cell signaling, and RNA PTMs. Moreover, 25 corresponding genes of the differentially expressed proteins were quantitated by real time RT-PCR to examine the transcriptional profiles between mock- and virus-infected A549 cells. Western blot analysis confirmed that changes in abundance of identified cellular proteins heterogeneous nuclear ribonucleoprotein (hnRNP) U, hnRNP C, ALDH1A1, tryptophanyl-tRNA synthetase, IFI35, and HSPB1 in H3N2 SIV-infected cells were consistent with results of 2DE analysis. By confocal microscopy, nucleus-to-cytoplasm translocation of hnRNP C and colocalization between the viral nonstructural protein 1 and hnRNP C as well as N-myc (and STAT) interactor were observed upon infection. Ingenuity Pathway Analysis revealed that cellular proteins altered during infection were grouped mainly into NFκB and interferon signaling networks. Collectively, these identified subcellular constituents provide an important framework for understanding host/SIV interactions and underlying mechanisms of SIV cross-species infection and pathogenesis.
DOI: 10.1002/pmic.201300180
PubMed: 24115376
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pubmed:24115376Le document en format XML
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<term>Cell Line</term>
<term>Electrophoresis, Gel, Two-Dimensional</term>
<term>Host-Pathogen Interactions (physiology)</term>
<term>Humans</term>
<term>Influenza A Virus, H3N2 Subtype (physiology)</term>
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<term>Intracellular Space (metabolism)</term>
<term>Intracellular Space (virology)</term>
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<term>Espace intracellulaire (virologie)</term>
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<front><div type="abstract" xml:lang="en">Cross-species transmissions of swine influenza viruses (SIVs) raise great public health concerns. In this study, subcellular proteomic profiles of human A549 cells inoculated with H3N2 subtype SIV were used to characterize dynamic cellular responses to infection. By 2DE and MS, 27 differentially expressed (13 upregulated, 14 downregulated) cytoplasmic proteins and 20 differentially expressed (13 upregulated, 7 downregulated) nuclear proteins were identified. Gene ontology analysis suggested that these differentially expressed proteins were mainly involved in cell death, stress response, lipid metabolism, cell signaling, and RNA PTMs. Moreover, 25 corresponding genes of the differentially expressed proteins were quantitated by real time RT-PCR to examine the transcriptional profiles between mock- and virus-infected A549 cells. Western blot analysis confirmed that changes in abundance of identified cellular proteins heterogeneous nuclear ribonucleoprotein (hnRNP) U, hnRNP C, ALDH1A1, tryptophanyl-tRNA synthetase, IFI35, and HSPB1 in H3N2 SIV-infected cells were consistent with results of 2DE analysis. By confocal microscopy, nucleus-to-cytoplasm translocation of hnRNP C and colocalization between the viral nonstructural protein 1 and hnRNP C as well as N-myc (and STAT) interactor were observed upon infection. Ingenuity Pathway Analysis revealed that cellular proteins altered during infection were grouped mainly into NFκB and interferon signaling networks. Collectively, these identified subcellular constituents provide an important framework for understanding host/SIV interactions and underlying mechanisms of SIV cross-species infection and pathogenesis. </div>
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