Cancer Systems Biology Scholars Program
癌症系统生物学学者计划
基本信息
- 批准号:9120344
- 负责人:
- 金额:$ 53.31万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-06-01 至 2019-08-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAdvisory CommitteesBiologicalBiological SciencesCancer Prevention InterventionCell LineCellsCommunicationComplexComputational BiologyComputational ScienceDNADataData SetDepartment chairDiagnosticDisciplineEarly DiagnosisEducationEducational CurriculumEducational process of instructingEngineeringEnsureEnvironmentEquilibriumEvaluationExposure toExtramural ActivitiesFaceFacultyFutureGenerationsGeneticGenetic TranscriptionGoalsGrantGrant Review ProcessHealthHumanitiesIncidenceInterdisciplinary StudyKnowledgeLettersMalignant NeoplasmsMentorsMentorshipMolecularMolecular ProfilingMorbidity - disease rateNCI Scholars ProgramPharmaceutical PreparationsPositioning AttributePostdoctoral FellowPredispositionPreparationProcessRecruitment ActivityResearchResearch PersonnelResearch TrainingSchoolsScienceSystemSystems BiologyTeacher Professional DevelopmentTechnologyTestingThe Cancer Genome AtlasTherapeuticTrainingTraining ProgramsUnderrepresented MinorityUniversitiesanticancer researchbasecancer research center directorcancer riskcareercareer developmentclinically relevantcurriculum developmentdidactic educationfaculty mentorhuman diseaseimprovedinnovationinsightmedical schoolsmeetingsmortalitymouse modelmultidisciplinarypost-doctoral trainingprogramsprotein expressionresearch and developmentskillssuccesssymposiumtreatment response
项目摘要
DESCRIPTION (provided by applicant): Our proposed Cancer Systems Biology Scholars (CSBS) program is a postdoctoral training program at Stanford University focused on innovative, multidisciplinary cancer research education that seamlessly integrates experimental and computational biology in order to systematically unravel the complexity of cancer. This program aims to produce a new generation of cancer researchers who are trained in the field of systems biology in order to identify and elucidate critical cellular and molecular networks underlying cancer risk, initiation and progression and response to treatment. The opportunity to embark on cancer systems biology research careers has been enabled by the rapid emergence of numerous and increasingly accessible technologies that provide global DNA, RNA and protein expression profiling. A vast amount of multiplexed, multi-scale experimental data is now available and continues to be generated on cancer systems, ranging from cell lines (CCLE), mouse models, and human disease (TCGA). The challenge that most traditionally trained cancer researchers face is how to integrate and analyze this complex datasets. To address this challenge, it is evident that a new generation of cancer researchers with broader training in both experimentation and computation skills is needed to apply the emerging principles of systems biology to the study of cancer. The Stanford CSBS program addresses the pressing need to develop and implement a curriculum-based, multidisciplinary research education program in cancer systems biology. We bring together 28 Stanford faculty mentors from 16 departments/divisions, bridging the Stanford Schools of Medicine, Engineering and Humanities and Sciences. We propose a two-year training program, and will produce 10 trainees over a four year training period, which will begin after one full year of dedicated curriculum development. Collectively, our faculty represent an equal balance of biological and computational science, and our goal is to attract a similar distribution of backgrounds among our trainees for co-mentoring. We believe that the creative spark of our program will emerge from the integration of these traditionally distinctly taught disciplines. We envision that all the graduates of our CSBS Program will have acquired the necessary biological and computational skills in order to become the future leaders of cancer systems biology research and produce biologically and clinically insights that will reduce cancer incidence, morbidity and mortality.
描述(由申请人提供):我们提出的癌症系统生物学学者(CSB)计划是斯坦福大学的博士后培训计划,重点是创新的多学科癌症研究教育,该教育无缝地整合了实验和计算生物学,以便系统地揭示癌症的复杂性。该计划旨在生产新一代的癌症研究人员,这些研究人员在系统生物学领域接受培训,以识别和阐明关键的细胞和分子网络,这些细胞和分子网络是癌症风险,启动,进展以及对治疗的反应的基础。通过提供全球DNA,RNA和蛋白质表达分析的众多且易于访问的技术的快速出现,可以实现启动癌症系统生物学研究职业的机会。现在可以使用大量的多路复用,多尺度的实验数据,并继续在癌症系统上产生,范围从细胞系(CCLE),小鼠模型和人类疾病(TCGA)产生。大多数传统训练的癌症研究人员面临的挑战是如何整合和分析此复杂数据集。为了应对这一挑战,很明显,需要在实验和计算技能方面进行更广泛培训的新一代癌症研究人员,以将系统生物学的新兴原则应用于癌症的研究。斯坦福大学CSB计划涉及迫切需要开发和实施癌症系统生物学中基于课程的多学科研究教育计划。我们汇集了来自16个部门/部门的斯坦福大学教师导师,桥接了斯坦福大学医学,工程与人文科学和科学学校。我们提出了一项为期两年的培训计划,并将在四年的培训期内生产10名学员,这将在整整一年的专用课程开发后开始。总的来说,我们的教职员工代表了生物学和计算科学的平等平衡,我们的目标是吸引学员在学员中的相似分布。我们认为,我们计划的创造性火花将从这些传统上鲜明教授的学科的整合中浮现出来。我们设想,我们的CSB计划的所有毕业生将获得必要的生物学和计算技能,以成为癌症系统生物学研究的未来领导者,并在生物学和临床上产生可以降低癌症发病率,发病率和死亡率的领导者。
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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SYLVIA KATINA PLEVRITIS其他文献
SYLVIA KATINA PLEVRITIS的其他文献
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{{ truncateString('SYLVIA KATINA PLEVRITIS', 18)}}的其他基金
Biomedical Data Science Graduate Training at Stanford
斯坦福大学生物医学数据科学研究生培训
- 批准号:
9901621 - 财政年份:2016
- 资助金额:
$ 53.31万 - 项目类别:
COMPUTATIONAL ANALYSIS OF DIFFERENTIATION IN CANCER PROGRESSION
癌症进展分化的计算分析
- 批准号:
8181389 - 财政年份:2010
- 资助金额:
$ 53.31万 - 项目类别:
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