Shared Resources-Critical Technologies for Tissue Services
共享资源-组织服务的关键技术
基本信息
- 批准号:7513320
- 负责人:
- 金额:$ 13.24万
- 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:2007-08-09 至 2012-07-31
- 项目状态:已结题
- 来源:
- 关键词:ArchitectureArchivesBiologicalCancer PatientClinical InformaticsClinical ResearchCompetenceComplementDatabasesDiseaseEph Family ReceptorsFutureHistologyIndividualKnowledgeLinkLiquid substanceMedical centerModalityPathologyPatientsPeer ReviewProcessPurposeRangeRateResearchResearch InfrastructureResearch PersonnelResearch SupportResource SharingResourcesServicesSiteSupport of ResearchTamoxifenTechnologyTimeTissue MicroarrayTissue ProcurementsTissue SampleTissuesanticancer researchbasebiomedical informaticscohortexperiencehuman tissuememberprogramsrepositorysuccesstissue resource
项目摘要
The Critical Technologies for Tissue Services (CTTS) Shared Resource, sited in the Departs of Pathology
and EPH, is the evolutionary next step following the previously highly rated YCC Critical Technologies
Shared resource (SR). The central theme of this SR is to optimize use of human tissue samples for
research. The experience of the past ten years indicates that the success of the program resides in the
integration of knowledge and process that enables the application of diverse technologies to a single tissue
sample. A modular architecture that integrates tissue procurement & banking, research histology, tissue
micro-array and selected modalities of tissue analysis insures a high level of competence at the same time
that it guaranties the integration necessary to wisely procure and use tissue obtained from cancer patients.
The CTTS features the following modules: Tissue Procurement and Banking (TPB), Research Histology
(RH), Tissue Microarray (TMA), and Tissue Analysis (TAM). Management of this SR by a cohesive group of
consultants and module managers results in a highly efficient infrastructure to support research use of the
precious materials derived from patients. Since the last competitive renewal two new modules, Tissue Microarray
and Tissue Analysis have been added to this SR: These new modules complement the already
existing ones, namely TPB, RH. The two new modules were developed under the auspices of the YCC as
"developing resources" and although it is feasible to present each module as a free-standing resource the
experience accumulated during the past ten years shows that the efficient management of human tissues for
very diverse cancer research purposes is best achieved under a tightly integrated organization.
The TPB Module has supported 12 YCC member users from 7 of the 8 research programs, which represents
94% (88.21% Peer reviewed) of overall use. The RH Module has supported 59 YCC member users from all
8 research programs, which represents 57% (50% Peer reviewed) of overall use. The TMA Module has
supported 12 YCC member users from 6 of the 8 research programs, which represents 92% (66% Peer
reviewed) of overall use. The TAM Module has supported 5 peer reviewed YCC member users from 2 of the
8 research programs, which represents 100% of the modules overall use.
Future plans for the CTTS include the building of disease focused bio-repositories and trial based
repositories that assemble tissue, biological fluids and annotation for specific cohorts of patients. We
anticipate that in the process of building these repositories the CTTS will increase its interface with the
Biomedical Informatics and the Clinical Research Support Resource.
组织服务的关键技术(CTTS)共享资源,位于病理学之际
和eph是遵循先前评级高的YCC关键技术之后的进化下一步
共享资源(SR)。该SR的中心主题是优化使用人体组织样品的使用
研究。过去十年的经验表明,该计划的成功位于
知识和过程的整合,可以将各种技术应用于单个组织
样本。整合组织采购和银行,研究组织学,组织的模块化体系结构
微阵列和组织分析的选定方式同时确保高水平的能力
它保证了明智地采购和使用从癌症患者获得的组织所需的整合。
CTT具有以下模块:组织采购和银行(TPB),研究组织学
(RH),组织微阵列(TMA)和组织分析(TAM)。由一个有凝聚力的组对此SR的管理
顾问和模块经理会导致高效的基础设施,以支持研究的研究
源自患者的珍贵材料。自上次竞争性续订以来,两个新模块,组织微阵列
和组织分析已添加到此SR中:这些新模块已经补充了
现有的,即TPB,RH。这两个新模块是在YCC的主持下开发的
“开发资源”,尽管可以将每个模块作为独立资源呈现是可行的
在过去十年中积累的经验表明,人类组织的有效管理
在紧密整合的组织下,最好实现非常多样化的癌症研究目的。
TPB模块已支持来自8个研究计划中7个的12名YCC成员用户,该计划代表
总体使用的94%(88.21%的同行评审)。 RH模块支持了所有来自所有的YCC成员用户
8个研究计划,代表57%(50%的同行评审)整体使用。 TMA模块具有
支持来自8个研究计划中6个的12名YCC成员用户,该计划代表92%(66%的同行
审查)整体用途。 TAM模块支持了5个同行评审的YCC成员用户。
8个研究计划,占整体使用模块的100%。
CTT的未来计划包括建立以疾病为中心的生物重复剂和基于审判的疾病
组装组织,生物流体和注释的存储库。我们
预计在构建这些存储库的过程中,CTT将增加其与
生物医学信息学和临床研究支持资源。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
DAVID L RIMM其他文献
DAVID L RIMM的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('DAVID L RIMM', 18)}}的其他基金
Core C: Biospecimen, Pathology, and Genomics Core
核心 C:生物样本、病理学和基因组学核心
- 批准号:
10203853 - 财政年份:2015
- 资助金额:
$ 13.24万 - 项目类别:
(PQC2)High-content Pathology with Confocal Microscope Arrays
(PQC2)使用共焦显微镜阵列进行高内涵病理学
- 批准号:
9087173 - 财政年份:2013
- 资助金额:
$ 13.24万 - 项目类别:
相似国自然基金
科学基金档案资料信息化管理探索与实践研究
- 批准号:
- 批准年份:2022
- 资助金额:10 万元
- 项目类别:
面向单套制的国家自然科学基金项目档案分级分类管理研究
- 批准号:J2224001
- 批准年份:2022
- 资助金额:30.00 万元
- 项目类别:专项项目
科学基金档案资料信息化管理探索与实践研究
- 批准号:52242312
- 批准年份:2022
- 资助金额:10.00 万元
- 项目类别:专项项目
零信任架构下的电子健康档案动态共享研究
- 批准号:72274077
- 批准年份:2022
- 资助金额:45 万元
- 项目类别:面上项目
胶州湾河口湿地盾纤亚纲纤毛虫的多样性研究与档案资料建立
- 批准号:
- 批准年份:2021
- 资助金额:30 万元
- 项目类别:青年科学基金项目
相似海外基金
BioGRID: An open resource for biological interactions and network analysis
BioGRID:生物相互作用和网络分析的开放资源
- 批准号:
10819019 - 财政年份:2023
- 资助金额:
$ 13.24万 - 项目类别:
CSHL 2023 Eukaryotic DNA Replication and Genome Maintenance Conference
CSHL 2023真核DNA复制与基因组维护会议
- 批准号:
10677192 - 财政年份:2023
- 资助金额:
$ 13.24万 - 项目类别:
Applying Innovative Artificial Intelligence Approaches to a Large Sleep Physiologic Biorepository to Integrate Sleep Disruption in Cardiovascular Risk Calculation
将创新的人工智能方法应用于大型睡眠生理生物库,将睡眠中断纳入心血管风险计算
- 批准号:
10731500 - 财政年份:2023
- 资助金额:
$ 13.24万 - 项目类别: