Advanced in Vivo Cancer Models
先进的体内癌症模型
基本信息
- 批准号:10674541
- 负责人:
- 金额:$ 23.28万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2007
- 资助国家:美国
- 起止时间:2007-07-01 至 2025-06-30
- 项目状态:未结题
- 来源:
- 关键词:3-DimensionalAdoptive Cell TransfersAnimal ModelAreaBioinformaticsBiologicalBiologyCRISPR/Cas technologyCancer BiologyCancer CenterCancer Center Support GrantCancer ModelCatchment AreaCell LineCellsChargeChickChickensClinicClinicalCollaborationsCollectionCommunitiesComprehensive Cancer CenterCredentialingDNADNA sequencingDataDevelopmentDiseaseEmbryoEmbryo TransferEmerging TechnologiesEnsureEquipmentEvaluationFacultyFertilization in VitroFreezingFundingGenerationsGenesGenetic EngineeringGenetically Engineered MouseGenomeHepaticHumanImmune systemImmunocompromised HostInternationalInvadedInvestigational TherapiesKnock-inKnock-outLungMaintenanceMalignant NeoplasmsMedicineMethodsMicroinjectionsModelingMolecularMusMutationNeoplasm MetastasisOrganoidsPatientsPre-Clinical ModelProcessProteomicsProtocols documentationReproducibilityResearch PersonnelResource SharingResourcesScienceService delivery modelServicesSiteSystemTechniquesTechnologyTherapeutic StudiesTissuesTransformed Cell LineTransgenesTransgenic OrganismsTranslatingTreatment EfficacyValidationWorkXenograft Modelangiogenesisanimal resourceanticancer researchcell immortalizationchicken eggchimeric antigen receptor T cellschorioallantoic membranecollegecomputer infrastructureconditional knockoutcostcost effectiveembryo cryopreservationembryonic stem cellexomeexperimental studygene replacementgenome editingin vivoin vivo Modelinterestmetabolomicsmouse modelmultiple omicsnucleasepatient derived xenograft modelpreservationrat genomereconstitutionrepositoryresponsesperm cryopreservationtissue resourcetranscriptome sequencingtumortumor xenograftwhole genome
项目摘要
PROJECT SUMMARY: Advanced In Vivo Cancer Models (AICM) Shared Resource
The Advanced In Vivo Cancer Models (AICM) Shared Resource of the Dan L Duncan Comprehensive Cancer
Center (DLDCCC) is constructed to meet the needs of Cancer Center investigators wishing to use
experimentally demanding, state-of-the-art, in vivo cancer models that require specialized techniques, and a
high degree of experimental ingenuity. These models include genetically engineered mice (“knockout,”
“knockin,” and transgenics), and patient-derived tumor xenografts (PDX) grown either in immunocompromised
mice, or in alternative platforms such as the chicken egg chorioallantoic membrane (CAM). Both mouse and
human-derived models require substantial validation work to “credential” that they are reflective of the biology
of the disease or process under study. Since patient-derived tissues used to generate the models have
considerable associated clinical and “omic” information, computational infrastructure is also required to
abstract, store, organize, retrieve, and display such information so that investigators can make rational choices
as to which model(s) to use, and to help interpret their results. The AICM Shared Resource will coordinate
these activities for the Cancer Center to enhance in vivo model access, use, and utility in a cost-effective
manner.
项目摘要:高级体内癌症模型(AICM)共享资源
Dan L Duncan综合癌症的先进体内癌症模型(AICM)共享资源
构建中心(DLDCCC)是为了满足希望使用的癌症中心调查人员的需求
实验要求的,最先进的体内癌症模型,需要专门的技术,A
高度的实验性。这些模型包括基因工程的小鼠(“敲除”
在免疫功能低下生长
小鼠,或在替代平台中,例如鸡蛋绒毛膜甲状腺膜(CAM)。鼠标和
人类衍生的模型需要大量验证工作才能“证明”它们反映生物学
正在研究的疾病或过程。由于用来生成模型的患者衍生组织具有
相当相关的临床和“ OMIC”信息,计算基础架构也需要
摘要,商店,组织,检索和显示此类信息,以便调查人员可以做出合理的选择
关于要使用哪种模型,并帮助解释其结果。 AICM共享资源将协调
这些活动为癌症中心增强体内模型的访问,使用和实用性,以具有成本效益
方式。
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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Michael T. Lewis其他文献
The Effects of Camera Monitoring on Police Officer Performance in Critical Incident Situations: a MILO Range Simulator Study
摄像机监控对危急事件情况下警务人员表现的影响:MILO 范围模拟器研究
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:1.6
- 作者:
W. Kalkhoff;Joshua W. Pollock;Matthew A. Pfeiffer;Brian A Chopko;P. Palmieri;Michael T. Lewis;Joseph Sidoti;Daniel Burrill;Jon Overton;Graem Sigelmier - 通讯作者:
Graem Sigelmier
Michael T. Lewis的其他文献
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{{ truncateString('Michael T. Lewis', 18)}}的其他基金
INTEGRATING OMICS AND QUANTITATIVE IMAGING DATA IN CO-CLINICAL TRIALS TO PREDICT TREATMENT RESPONSE IN TRIPLE NEGATIVE BREAST CANCER
在临床联合试验中整合组学和定量成像数据来预测三阴性乳腺癌的治疗反应
- 批准号:
10688170 - 财政年份:2019
- 资助金额:
$ 23.28万 - 项目类别:
INTEGRATING OMICS AND QUANTITATIVE IMAGING DATA IN CO-CLINICAL TRIALS TO PREDICT TREATMENT RESPONSE IN TRIPLE NEGATIVE BREAST CANCER
在临床联合试验中整合组学和定量成像数据来预测三阴性乳腺癌的治疗反应
- 批准号:
10241425 - 财政年份:2019
- 资助金额:
$ 23.28万 - 项目类别:
INTEGRATING OMICS AND QUANTITATIVE IMAGING DATA IN CO-CLINICAL TRIALS TO PREDICT TREATMENT RESPONSE IN TRIPLE NEGATIVE BREAST CANCER
在临床联合试验中整合组学和定量成像数据来预测三阴性乳腺癌的治疗反应
- 批准号:
10020941 - 财政年份:2019
- 资助金额:
$ 23.28万 - 项目类别:
INTEGRATING OMICS AND QUANTITATIVE IMAGING DATA IN CO-CLINICAL TRIALS TO PREDICT TREATMENT RESPONSE IN TRIPLE NEGATIVE BREAST CANCER
在临床联合试验中整合组学和定量成像数据来预测三阴性乳腺癌的治疗反应
- 批准号:
10478972 - 财政年份:2019
- 资助金额:
$ 23.28万 - 项目类别:
Multi-omic, Exposure-informed, Genealogical Approach (mErGE)
多组学、暴露信息、系谱方法 (mErGE)
- 批准号:
10370622 - 财政年份:2017
- 资助金额:
$ 23.28万 - 项目类别:
Research Project 2: Targetin Tumor-Initiating Cell (TIC) Heterogeneity To Overcome Chemotherapy Resistance
研究项目2:靶向肿瘤起始细胞(TIC)异质性以克服化疗耐药性
- 批准号:
10681678 - 财政年份:2017
- 资助金额:
$ 23.28万 - 项目类别:
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