UCSC-Buck Specialized Genomic Data Analysis Center for the Genomic Data Analysis Network
UCSC-Buck 基因组数据分析网络专业基因组数据分析中心
基本信息
- 批准号:9353344
- 负责人:
- 金额:$ 45.26万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-09-15 至 2021-08-31
- 项目状态:已结题
- 来源:
- 关键词:Alpha CellAutomobile DrivingAwarenessBioinformaticsBiologicalCancer CenterCancer cell lineCellsCisplatinClinicalCollaborationsCommunitiesCompetenceComputational algorithmComputer softwareDNA Sequence AlterationDNA copy numberDataData SetDevelopmentEpigenetic ProcessGeneticGenomeGenome Data Analysis CenterGenome Data Analysis NetworkGoalsHealthInstitutesInterventionInvestigationLeadershipLibrariesMachine LearningMalignant NeoplasmsMessenger RNAMethodologyMethodsMicroRNAsModelingMutationNormal CellNorth CarolinaOncogenicOutputPaperPathway AnalysisPathway interactionsPatientsProcessProtein IsoformsProteomicsPublic DomainsRNARNA SplicingResearchResistanceResourcesSamplingSeriesSignal TransductionStructureThe Cancer Genome AtlasTimeTreatment ProtocolsTumor SubtypeUniversity of Texas M D Anderson Cancer CenterUntranslated RNAVariantWorkcancer genomecancer genomicscomputerized toolsexceptional respondersexperiencegenome analysisgenome sequencinggenomic dataindividual patientlearning strategymRNA Expressionmemberneoplastic cellnetwork modelsnew technologynovelresponsetooltreatment strategytumortumor microenvironmenttumor progression
项目摘要
The “UCSC-Buck Genome Data Analysis Center for the Genomic Data Analysis Network” will develop state-of-the-art methods for integrating various types of data to discover the genetic pathways, the microenvironment, the originating cells, and the oncogenic processes driving the initiation and progression of tumors. The long term goals of the project are to identify highly accurate models detailing the faulty genetic circuitry at work in each subclone of a patient’s tumor, as well as any “normal” cells acting as accomplices by supporting the cancer microenvironment. The ultimate objective is to encode computer algorithms that can search a patient’s individual pathway diagram for the best combination of interventions to eliminate every tumor cell, while preserving the health of every normal cell, in their body. Integrative pathway analysis methods will be developed to reveal signatures of tumor subtypes from Pan-Cancer and external datasets. New technologies will be established for uncovering network models tailored to individual patients. The tools will be deployed as part of an active collaboration to support the specific projects of the Genome Data Analysis Network. Novel probabilistic graphical models will be used to infer disrupted signaling. Cellular signatures will be collected from the analysis of normal cells, cancer cell line models, and Pan-Cancer investigations. Novel machine-learning methods, guided by pathway mechanisms, will be established to identify cell state signatures in heterogeneous patient samples. This work will reveal rare mutations driving metastatic transformation that are currently of unknown significance. New clues about the genetic circuitry promoting response and resistance to treatment will be established. Finally, cross-tumor connections that relate tumors of one type to a different type will suggest new avenues for treatment.
“基因组数据分析网络的UCSC-Buck基因组数据分析中心”将开发最先进的方法来整合各种类型的数据,以发现遗传途径、微环境、起源细胞以及驱动肿瘤发生和进展的致癌过程。该项目的长期目标是识别高度准确的模型,详细描述患者肿瘤的每个亚克隆中起作用的错误遗传电路,以及通过支持癌症微环境充当帮凶的任何“正常”细胞。最终目标是编码计算机算法,可以搜索患者的个体通路图,寻找最佳干预组合,以消除每个肿瘤细胞,同时保持体内每个正常细胞的健康。将开发综合途径分析方法,以揭示泛癌症和外部数据集中的肿瘤亚型特征。将建立新技术来揭示适合个体患者的网络模型。这些工具将作为积极合作的一部分进行部署,以支持基因组数据分析网络的特定项目。新颖的概率图形模型将用于推断中断的信号传导。细胞特征将从正常细胞、癌细胞系模型和泛癌症研究的分析中收集。将建立以通路机制为指导的新型机器学习方法来识别异质患者样本中的细胞状态特征。这项工作将揭示驱动转移转化的罕见突变,目前这些突变的意义尚不清楚。关于促进治疗反应和耐药性的遗传回路的新线索将被建立。最后,将一种类型的肿瘤与另一种类型的肿瘤联系起来的跨肿瘤联系将为治疗提供新的途径。
项目成果
期刊论文数量(0)
专著数量(0)
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JOSHUA Michael STUART其他文献
JOSHUA Michael STUART的其他文献
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{{ truncateString('JOSHUA Michael STUART', 18)}}的其他基金
UCSC-Buck Specialized Genomic Data Analysis Center for the Genomic Data Analysis Network
UCSC-Buck 基因组数据分析网络专业基因组数据分析中心
- 批准号:
10001323 - 财政年份:2016
- 资助金额:
$ 45.26万 - 项目类别:
UCSC-Buck Specialized Genomic Data Analysis Center for the Genomic Data Analysis Network
UCSC-Buck 基因组数据分析网络专业基因组数据分析中心
- 批准号:
9763504 - 财政年份:2016
- 资助金额:
$ 45.26万 - 项目类别:
New Integrative Pathway Analysis Methods to Predict Biomedical Outcomes
预测生物医学结果的新综合途径分析方法
- 批准号:
9097769 - 财政年份:2014
- 资助金额:
$ 45.26万 - 项目类别:
New Integrative Pathway Analysis Methods to Predict Biomedical Outcomes
预测生物医学结果的新综合途径分析方法
- 批准号:
8927029 - 财政年份:2014
- 资助金额:
$ 45.26万 - 项目类别:
New Integrative Pathway Analysis Methods to Predict Biomedical Outcomes
预测生物医学结果的新综合途径分析方法
- 批准号:
8615841 - 财政年份:2014
- 资助金额:
$ 45.26万 - 项目类别:
BIGDATA: Mid-Scale DCM: DA: ESCE: Discovering Molecular Processes
BIGDATA:中型 DCM:DA:ESCE:发现分子过程
- 批准号:
8840914 - 财政年份:2013
- 资助金额:
$ 45.26万 - 项目类别:
BIGDATA: Mid-Scale DCM: DA: ESCE: Discovering Molecular Processes
BIGDATA:中型 DCM:DA:ESCE:发现分子过程
- 批准号:
8599838 - 财政年份:2013
- 资助金额:
$ 45.26万 - 项目类别:
BIGDATA: Mid-Scale DCM: DA: ESCE: Discovering Molecular Processes
BIGDATA:中型 DCM:DA:ESCE:发现分子过程
- 批准号:
8665397 - 财政年份:2013
- 资助金额:
$ 45.26万 - 项目类别:
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