Proteome and Genome
蛋白质组和基因组
基本信息
- 批准号:9925255
- 负责人:
- 金额:$ 29.65万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:
- 资助国家:美国
- 起止时间:至 2022-03-31
- 项目状态:已结题
- 来源:
- 关键词:Adult Respiratory Distress SyndromeAfricanAlternative SplicingBiological AssayCandidate Disease GeneChicagoCodeComputer softwareDNADataData AnalysesData Storage and RetrievalDiseaseEndothelial CellsEndotheliumEuropeanExonsGelGene ExpressionGene TargetingGenesGeneticGenomeGenomicsGenotypeImageIn VitroIndividualInfrastructureIntronsInvestigationLabelLocationLungMass Spectrum AnalysisMutateNitratesPatientsPhosphorylationPost-Translational Protein ProcessingPredispositionProteinsProteomeProteomicsRNARecombinant ProteinsRegulationResearchResearch PersonnelResourcesSamplingSecureServicesSeveritiesShipsSingle Nucleotide PolymorphismSoftware ToolsStructure of parenchyma of lungSurface Plasmon ResonanceTechnologyTestingTissue SampleTissuesTranslational Protein ModificationUbiquitinationbiobankcost effectivedata exchangedata managementdelta opioid receptordelta proteindesignexperimental groupexperimental studyin silicoin vivoin vivo Modellaboratory facilitymolecular modelingnitrationnovelprotein expressionprotein protein interactionprotein structureprotein structure functionscreeningtooltranscriptomicstranslational impact
项目摘要
ABSTRACT: This Proteome & Genome Core (PPG Core B) will provide essential, cutting edge,
proteomic/transcriptomic/genetic expertise to facilitate the translational impact of this highly integrated PPG.
This PPG Core will be responsible for providing the research investigators with a well characterized ARDS
biobank (i.e. DNA from European descent and African descent subjects), a complete list of tagging single
nucleotide polymorphisms (tSNPs) for each PPG candidate gene, mid-throughput genotyping services, and
data analysis tools to test for association between PPG-studied SNPs and susceptibility and severity of ARDS.
The functional non-synonymous coding SNPs will be screened in silico to identify their impact on protein
structure and function (protein-protein interaction, catalytic activity, post-translational modification) by
computational protein structure molecular modeling, with protein-protein interaction validated by surface
plasmon resonance (SPR) screening. Effects of exon-intron boundary SNPs on alternative splicing of these
key genes will be analyzed by in silico prediction and further validated by SNP-containing minigene constructs
in individual projects. PPG Core B will provide the service to generate the mutated DNA constructs (with
disease-associated SNP) to generate recombinant protein used in SPR, or GRF-labeled protein for cellular
location tracking in endothelial cells (to be used in Core D and individual projects). In addition, this PPG Core
will further validate the genomic expression data by proteomic approaches (2-D protein gel and mass
spectrometry). On top of the protein level characterization, the PPG Core B will define the protein translational
modification (PTM) status including phosphorylation, nitration, and ubiquitination via traditional mass
spectrometry analysis. PPG Core B will utilize the up-to-date technologies to provide a proteomic-genomic
study platform for all three Projects and generate novel information on the genes targeted for investigation in
this PPG. This PPG Core will also provide software and hardware infrastructure for (i) federated tissue
management (e.g. chain of custody while transferring tissues from any lab to any Core) and (ii) secure data
exchange between Cores and Research investigators. Core B will also resource investigators and Cores with
TissueMetrix tissue management software that also provides chain of custody management of samples
transferred between investigators and Cores and reconciliation between lists of samples send and received. In
addition, large files generated by the cores will be transferred to investigators using a secure IPSwitch portal
that also manages authentication and keeps logs of accessed files by legitimate users (e.g. genomics,
transcriptomic, proteomics, imaging).
摘要:这个蛋白质组和基因组核心(PPG Core B)将提供必要的、尖端的、
蛋白质组学/转录学/遗传学专业知识,以促进这种高度整合的PPG的翻译影响。
PPG核心将负责为研究调查人员提供具有良好特征的ARDS
生物库(即来自欧洲血统和非洲血统受试者的DNA),一份完整的单一标签列表
每个PPG候选基因的核苷酸多态(TSNPs)、中通量基因分型服务以及
数据分析工具,以测试PPG研究的SNPs与ARDS的易感性和严重性之间的关联。
将在电子计算机中筛选功能性非同义编码SNPs,以确定它们对蛋白质的影响
结构和功能(蛋白质-蛋白质相互作用、催化活性、翻译后修饰)
计算蛋白质结构分子模型,用表面验证蛋白质-蛋白质相互作用
等离子共振(SPR)筛查。外显子-内含子边界SNPs对这些基因选择性剪接的影响
关键基因将通过电子预测进行分析,并通过包含SNP的微基因构建进一步验证
在个别项目中。PPG Core B将提供服务以生成突变的DNA构建体(具有
疾病相关SNP),以产生用于SPR的重组蛋白,或用于细胞的GRF标记蛋白
内皮细胞中的位置跟踪(将用于核心D和个别项目)。此外,这款PPG内核
将通过蛋白质组学方法(2-D蛋白质凝胶和质量)进一步验证基因组表达数据
光谱分析)。在蛋白质水平特征的基础上,PPG核心B将定义蛋白质翻译
修饰(PTM)状态,包括通过传统质量进行的磷酸化、硝化和泛素化
光谱分析。PPG Core B将利用最新技术提供蛋白质组-基因组
为所有三个项目提供研究平台,并产生关于研究目标基因的新信息
这个PPG。该PPG核心还将为(I)联合组织提供软件和硬件基础设施
管理(例如,将组织从任何实验室转移到任何核心时的保管链)和(Ii)保护数据
核心和研究调查人员之间的交流。核心B还将为调查员和核心提供资源
TIssueMetrix组织管理软件,还提供样本保管链管理
在调查员和核心之间进行转移,并在发送和接收的样本清单之间进行核对。在……里面
此外,核心生成的大文件将使用安全的IpSwitch门户传输给调查人员
其还管理认证并保存合法用户访问的文件的日志(例如基因组学,
转录学、蛋白质组学、成像)。
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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Yves A. Lussier其他文献
Crawler
履带式
- DOI:
- 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
Kenneth A. Ross;C. S. Jensen;R. Snodgrass;C. Dyreson;Spiros Skiadopoulos;Cristina Sirangelo;M. Larsgaard;G. Grahne;Daniel Kifer;Hans;H. Hinterberger;Alin Deutsch;Alan Nash;K. Wada;W. M. P. Aalst;C. Dyreson;P. Mitra;Ian H. Witten;Bing Liu;Charu C. Aggarwal;M. Tamer Özsu;Chimezie Ogbuji;Chintan Patel;Chunhua Weng;A. Wright;Amnon Shabo (Shvo);Dan Russler;R. A. Rocha;Yves A. Lussier;James L. Chen;Mohammed J. Zaki;Antonio Corral;Michael Vassilakopoulos;Dimitrios Gunopulos;Dietmar Wolfram;S. Venkatasubramanian;Michalis Vazirgiannis;Ian Davidson;Sunita Sarawagi;Liam Peyton;Gregory D. Speegle;Victor Vianu;Dirk Van Gucht;Opher Etzion;Francisco Curbera;AnnMarie Ericsson;Mikael Berndtsson;J. Mellin;P. Gray;Goce Trajcevski;Ouri Wolfson;Peter Scheuermann;Chitra Dorai;Michael Weiner;A. Borgida;J. Mylopoulos;Gottfried Vossen;A. Reuter;Val Tannen;S. Elnikety;Alan Fekete;L. Bertossi;F. Geerts;Wenfei Fan;T. Westerveld;Cathal Gurrin;Jaana Kekäläinen;Paavo Arvola;Marko Junkkari;Kyriakos Mouratidis;Jeffrey Xu Yu;Yong Yao;John F. Gehrke;S. Babu;N. Palmer;C. Leung;Michael W. Carroll;Aniruddha S. Gokhale;Mourad Ouzzani;Brahim Medjahed;Ahmed K. Elmagarmid;S. Manegold;Graham Cormode;Serguei Mankovskii;Donghui Zhang;Theo Härder;Wei Gao;Cheng Niu;Qing Li;Yu Yang;Payam Refaeilzadeh;Lei Tang;Huan Liu;Torben Bach Pedersen;Konstantinos Morfonios;Y. Ioannidis;Michael H. Böhlen;R. Snodgrass;Lei Chen - 通讯作者:
Lei Chen
Correction to: binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions
- DOI:
10.1186/s12859-020-03822-w - 发表时间:
2020-11-02 - 期刊:
- 影响因子:3.300
- 作者:
Samir Rachid Zaim;Colleen Kenost;Joanne Berghout;Wesley Chiu;Liam Wilson;Hao Helen Zhang;Yves A. Lussier - 通讯作者:
Yves A. Lussier
Computational Approaches to Phenotyping
表型分析的计算方法
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
High;Yves A. Lussier;Yang Liu - 通讯作者:
Yang Liu
Yves A. Lussier的其他文献
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{{ truncateString('Yves A. Lussier', 18)}}的其他基金
Systems-level genetic patterns underlying disseminated coccidioidomycosis in humans
人类播散性球孢子菌病的系统级遗传模式
- 批准号:
10337578 - 财政年份:2020
- 资助金额:
$ 29.65万 - 项目类别:
Semantic Approaches to Phenotypic Databases Analyses
表型数据库分析的语义方法
- 批准号:
7217171 - 财政年份:2004
- 资助金额:
$ 29.65万 - 项目类别:
Semantic Approaches to Phenotypic Databases Analyses
表型数据库分析的语义方法
- 批准号:
6889549 - 财政年份:2004
- 资助金额:
$ 29.65万 - 项目类别:
Semantic Approaches to Phenotypic Databases Analyses
表型数据库分析的语义方法
- 批准号:
6769171 - 财政年份:2004
- 资助金额:
$ 29.65万 - 项目类别:
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