Cancer Systems Biology Scholars Program
Cancer Systems Biology Scholars Program
批准号:
9120344
负责人:
SYLVIA KATINA PLEVRITIS
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
项目状态:
已结题
起止时间:
2014-06-01 至 2019-08-31
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
中文摘要
描述(由申请人提供):我们提议的癌症系统生物学学者(CSBS)计划是斯坦福大学的博士后培训计划,专注于创新的多学科癌症研究教育,将实验生物学和计算生物学无缝结合,以系统地揭示癌症的复杂性。该计划旨在培养在系统生物学领域接受过培训的新一代癌症研究人员,以识别和阐明癌症风险,启动和进展以及对治疗的反应的关键细胞和分子网络。通过提供全球DNA, RNA和蛋白质表达谱的众多技术的快速出现,使从事癌症系统生物学研究的机会成为可能。现在有大量的多路复用、多尺度的实验数据,并继续在癌症系统中产生,范围从细胞系(CCLE)、小鼠模型和人类疾病(TCGA)。大多数受过传统训练的癌症研究人员面临的挑战是如何整合和分析这些复杂的数据集。为了应对这一挑战,显然需要在实验和计算技能方面受过更广泛训练的新一代癌症研究人员将系统生物学的新兴原理应用于癌症研究。斯坦福大学CSBS项目解决了在癌症系统生物学领域开发和实施基于课程的多学科研究教育项目的迫切需求。我们汇集了来自16个部门的28位斯坦福大学教师导师,将斯坦福大学医学院、工程学院和人文科学学院连接起来。我们提出了一个为期两年的培训计划,并将在四年的培训期间培养10名学员,培训将在整整一年的专门课程开发之后开始。总的来说,我们的教师代表了生物和计算科学的平等平衡,我们的目标是在我们的学员中吸引相似的背景分布,以进行共同指导。我们相信,我们项目的创意火花将从这些传统的独特教学学科的整合中涌现出来。我们设想所有CSBS项目的毕业生都将获得必要的生物学和计算技能,以成为未来癌症系统生物学研究的领导者,并产生将降低癌症发病率,发病率和死亡率的生物学和临床见解。
英文摘要
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.
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会议论文
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