Systems Analysis of the Unfolded Protein response in Saccharomyces cerevisiae
Systems Analysis of the Unfolded Protein response in Saccharomyces cerevisiae
批准号:
7650722
负责人:
Keith Edward Jaggard Tyo
金额:
$0.79万
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-30 至 2010-09-29
关键词:
AccountingAffinityAlzheimer&aposs DiseaseAmino AcidsApoptosisAppearanceBindingBiologicalBiological ProcessCellsClassificationCodon NucleotidesCollaborationsComplexComputer softwareConsensusCoupledDNA-Protein InteractionDataDiseaseEndoplasmic ReticulumEnzymesEquilibriumEukaryotaEukaryotic CellFacility Construction Funding CategoryGene DosageGene ProteinsGenesGeneticGenomeGraphHumanHybridsKnowledgeLaboratoriesLeadLipidsLiteratureMalignant NeoplasmsMapsMass Spectrum AnalysisMeasurementMembraneMetabolicMicroarray AnalysisModelingModificationNetwork-basedNon-Insulin-Dependent Diabetes MellitusOxidation-ReductionPathway AnalysisPathway interactionsPhosphorylationPreventionProductionProductivityProtein BiosynthesisProtein SecretionProteinsProteomicsRecombinant ProteinsRecombinantsResistanceResourcesSaccharomyces cerevisiaeScoreSystems AnalysisTranscriptUnited States National Institutes of HealthWorkYeastsanalytical methodbasebiological adaptation to stressfollow-upglycosylationimprovedintracellular protein transportmetabolomicspreventpromoterprotein aggregateprotein expressionprotein foldingprotein metaboliteprotein misfoldingprotein protein interactionprotein transportresearch studyresponsescaffoldsizetherapeutic protein
中文摘要
未折叠蛋白反应(UPR)是一种大规模的,协调的反应,以纠正错误折叠的蛋白质
英文摘要
The unfolded protein response (UPR) is a large-scale, coordinated response to correct misfolded proteins in
eukaryotes. The diverse set of actions a cell coordinates in parallel (approx. 380 genes in yeast) to alleviate
the various problems that can occur in protein synthesis, folding, glycosylation, and translocation of
membrane-bound and secreted proteins has a large impact on therapeutic protein production and
aggregated protein-related disease. The proposed work will map the biological information flow through the
many genes involved in the response to achieve an understanding of the UPR and identify targets for
altering the response. A biological interaction network of the UPR will be constructed from available
biological interaction data for yeast. Transcriptional, proteomic, metabolomic, and metabolic flux data will be
collected for recombinant yeast producing preinsulin and TNFa with modulated UPR induction. UPRassociated
changes in biological molecule levels detected from the X-omics data will be superimposed onto
the interaction network, revealing the flow of biological information in the UPR. This combination of
information from biological interaction networks and X-omics-scale data will lead to a better understanding of
secreted protein production. In particular, metabolite measurements can indicate possible limitations in
glycosylation pathways, amino acid supply, energetics, redox balance, or lipid synthesis. Transcript and
protein levels may reveal pathways that benefit or detract from high level secretion of protein. From this
information, important biological molecules and interactions can be targeted to improve protein production
and, in humans, identify targets to prevent/treat aggregated-protein related disease. The findings of the
proposed work will be very helpful in understanding the molecules and their interconnections involved in
stress response. This strategy represents a multifaceted approach to understanding a complex biological
response and is consistent with the NIH Building Blocks, Biological Pathways, and Networks roadmap
initiative. Yeast is an attractive commercial producer of therapeutic proteins, but can be limited by low
product yields or poor quality that could be improved by this work. A thorough understanding of the UPR
could have consequences for prevention and treatment of disease known to be related to aggregated
protein, such as Alzheimer's, Type 2 diabetes, and apoptosis-resistant, uncontrolled protein production in
certain cancers.
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Systems Analysis of the Unfolded Protein response in Saccharomyces cerevisiae
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批准号:7923466
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项目类别:
-
资助金额:$0.79万
-
财政年份:2008
-
负责人:Keith Edward Jaggard Tyo
-
依托单位:
Systems Analysis of the Unfolded Protein response in Saccharomyces cerevisiae
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批准号:7408407
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项目类别:
-
资助金额:$3.76万
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财政年份:2008
-
负责人:Keith Edward Jaggard Tyo
-
依托单位:
Systems Analysis of the Unfolded Protein response in Saccharomyces cerevisiae
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批准号:7700246
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项目类别:
-
资助金额:$4.07万
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财政年份:2008
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负责人:Keith Edward Jaggard Tyo
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依托单位:
海外基金