Measurement of Aberrant Protein Folds in Malignant Cells with Proteomics and Mass Spectrometry
用蛋白质组学和质谱法测量恶性肿瘤细胞中的异常蛋白质折叠
基本信息
- 批准号:9233438
- 负责人:
- 金额:$ 43.56万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-03-10 至 2020-02-29
- 项目状态:已结题
- 来源:
- 关键词:1-Phosphatidylinositol 3-KinaseAminationAminesArchitectureBiochemicalBioinformaticsBiopsyBreast Epithelial CellsCell LineCellsChargeChemicalsCloningComputer SimulationCoupledCrystallizationDNADNA BindingDNA Binding DomainDNA Sequence AlterationDetectionDevelopmentDigestionEnvironmentEvolutionGenotypeGunsIndividualIsotopesK-ras OncogeneLabelLysineMCF10A cellsMalignant - descriptorMalignant NeoplasmsMass Spectrum AnalysisMeasurementMeasuresMembrane ProteinsMethodsMethylationModificationMolecularMusMutateMutationNon-MalignantPIK3CA genePatientsPeptidesPoint MutationProtein p53ProteinsProteomeProteomicsProto-OncogenesRNAReactionReagentReproducibilityResearchSamplingScreening for cancerSolventsSomatic CellSomatic MutationStructureSurfaceTechniquesTechnologyTemperatureTestingTherapeutic InterventionTimeValidationamino groupbasebiological adaptation to stresscancer cellcell transformationchemical reactionexperimental studyin vivoinsightmisfolded proteinmouse modelnew technologynovelnovel strategiesoverexpressionprotein foldingprotein misfoldingprotein structureresponsestable isotopetargeted cancer therapytargeted treatmenttooltumor
项目摘要
Project Summary
Malignant transformation of cells drives the development of tumors. Cancer cells can be
routinely genotyped today revealing a large number of somatic mutations. However, it remains
unclear which mutations contribute to malignant transformation and provide a survival
advantage to cancer cells and which are simply passenger mutations. Rather than dissecting
each mutation individually by biochemical techniques such as cloning and overexpression, we
propose to systematically profile the proteome of cancer cells for altered protein surface
accessibility, which can help to better understand the impact of somatic mutations on proteome
function and activity. Neomorphic perturbations in protein surface accessibility is revealed with
a new, quantitative, in vivo chemical labeling approach coupled to shot gun proteomics. The
novel approach can be used as a platform technology to screen patient-derived cancer cells and
holds promise to pinpoint critical, cancer cell specific perturbations in the proteome.
项目摘要
细胞的恶性转化驱动肿瘤的发展。癌细胞可以
如今常规的基因分型揭示了大量的体细胞突变。但委员会仍
不清楚哪些突变导致恶性转化并提供生存
这些突变对癌细胞有利,并且只是乘客突变。而不是解剖
通过生物化学技术如克隆和过表达,
我建议系统地分析癌细胞蛋白质组,以改变蛋白质表面
可访问性,这可以帮助更好地了解体细胞突变对蛋白质组的影响
功能和活动。蛋白质表面可及性的新形态扰动被揭示为
一个新的,定量的,在体内的化学标记方法耦合到猎枪蛋白质组学。的
新方法可用作筛选患者来源的癌细胞的平台技术,
有望精确定位蛋白质组中关键的癌细胞特异性扰动。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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John R Yates III其他文献
John R Yates III的其他文献
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{{ truncateString('John R Yates III', 18)}}的其他基金
High Throughput Methods for Single Cell Proteomics
单细胞蛋白质组学的高通量方法
- 批准号:
10609071 - 财政年份:2022
- 资助金额:
$ 43.56万 - 项目类别:
Analysis of protein interactions in neurodegenerative disease
神经退行性疾病中蛋白质相互作用的分析
- 批准号:
10613978 - 财政年份:2022
- 资助金额:
$ 43.56万 - 项目类别:
High Throughput Methods for Single Cell Proteomics
单细胞蛋白质组学的高通量方法
- 批准号:
10433158 - 财政年份:2022
- 资助金额:
$ 43.56万 - 项目类别:
Pulse-Chase Labeling with 15N and AHA in an Alzheimer's Mouse Model
在阿尔茨海默病小鼠模型中使用 15N 和 AHA 进行脉冲追踪标记
- 批准号:
9107688 - 财政年份:2015
- 资助金额:
$ 43.56万 - 项目类别:
Pulse-Chase Labeling with 15N and AHA in an Alzheimer's Mouse Model
在阿尔茨海默病小鼠模型中使用 15N 和 AHA 进行脉冲追踪标记
- 批准号:
8919211 - 财政年份:2014
- 资助金额:
$ 43.56万 - 项目类别:
Pulse-Chase Labeling with 15N and AHA in an Alzheimer's Mouse Model
在阿尔茨海默病小鼠模型中使用 15N 和 AHA 进行脉冲追踪标记
- 批准号:
8749039 - 财政年份:2014
- 资助金额:
$ 43.56万 - 项目类别:
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