BIO-POD: PALLET MICRO-ARRAY FOR RARE CELL ANALYSIS
BIO-POD:用于稀有细胞分析的托盘微阵列
基本信息
- 批准号:8362628
- 负责人:
- 金额:$ 0.51万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-04-01 至 2012-03-31
- 项目状态:已结题
- 来源:
- 关键词:AntibodiesAntigensBiotechnologyBreast Cancer CellCell LineCell surfaceCellsColorDetectionDiagnosisElementsEpithelial CellsExcisionFeasibility StudiesFine needle aspiration biopsyFlow CytometryFundingGrantIndividualInflammatory InfiltrateLasersMammary NeoplasmsMethodologyMethodsMicrodissectionMolecular ProfilingMyoepithelial cellNanotechnologyNational Center for Research ResourcesPatientsPrimary NeoplasmPrincipal InvestigatorResearchResearch InfrastructureResourcesSamplingSourceSpecimenStem cellsTechnologyTestingTimeTreatment EfficacyTumor TissueUnited States National Institutes of Healthbasecancer stem cellcostdesignfluorescence imagingmalignant breast neoplasmoptical imagingoutcome forecasttumor
项目摘要
This subproject is one of many research subprojects utilizing the resources
provided by a Center grant funded by NIH/NCRR. Primary support for the subproject
and the subproject's principal investigator may have been provided by other sources,
including other NIH sources. The Total Cost listed for the subproject likely
represents the estimated amount of Center infrastructure utilized by the subproject,
not direct funding provided by the NCRR grant to the subproject or subproject staff.
We have developed a pallet array nanotechnology that permits isolation of individual adherent cells. Combining this nanotechnology with antibody-based detection methods, advanced optical imaging and fine needle aspirate (FNA) sampling of breast tumors, we are piloting a methodology that 1) overcomes limitations to existing technologies, such as laser microdissection, 2) could be available to patients at the time of diagnosis vs. after tumor resection, 3) permits enumeration of various cellular elements present within a tumor potentially yielding important information for prognosis or predictive of therapeutic efficacy, 4) is designed for high throughput automated analyses, and 4) has the potential to assess the molecular profile of individual cellular compartments, which could provide additional information for the design of tailored individualized therapy.
The HYPOTHESIS for these studies is that the pallet array nanotechnology will permit the identification, enumeration, and isolation of the following individual cellular elements from primary breast tumors: breast cancer stem cells, endothelial progenitor cells, myoepithelial cells, and inflammatory infiltrate. This hypothesis will be tested by pursuing the following Specific Aims:
1. Establish the detection threshold for identifying rare adherent cells.
We will employ mixtures of cells expressing unique combinations of cell surface molecules in varying proportions, confirmed by flow cytometry, applied to the pallet array. As detection of multiple tumor cellular subsets will require multicolor/multi-antigen detection, we will perform multi-color fluorescence imaging to establish the detection threshold for rare cells. Additionally, we will refine the design of the pallet array.
2. Apply this methodology to primary breast cancer cells using Fine Needle Aspirate (FNA) sampling.
Pilot feasibility studies will be conducted on breast tumor specimens using FNAs performed immediately after resection, in order to test the ability to generalize the findings from cell lines to primary tumor tissues. These studies will establish isolation, identification, and detection methods for the enumeration of breast cancer stem cells, endothelial progenitor cells, myoepithelial cells, tumor epithelial cells, and inflammatory infiltrates.
该副本是利用资源的众多研究子项目之一
由NIH/NCRR资助的中心赠款提供。对该子弹的主要支持
而且,副投影的主要研究员可能是其他来源提供的
包括其他NIH来源。 列出的总费用可能
代表subproject使用的中心基础架构的估计量,
NCRR赠款不直接向子弹或副本人员提供的直接资金。
我们已经开发了托盘阵列纳米技术,该纳米技术允许分离单个粘附细胞。 将这种纳米技术与基于抗体的检测方法,先进的光学成像和乳腺肿瘤的细针(FNA)取样(FNA)取样,我们正在尝试一种方法,即1)克服对现有技术的限制,例如激光微调,例如在诊断后的各种遗产范围内,可以在较重要的范围内进行诸如较重要的元素,3)均可在诊断范围内进行。3)为了预后或预测治疗功效,4)设计用于高吞吐量自动分析,而4)有可能评估单个细胞室的分子谱,这可以为设计定制的个性化治疗设计提供其他信息。
这些研究的假设是,托盘阵列纳米技术将允许从原发性乳腺肿瘤中鉴定,枚举和分离以下单个细胞元素:乳腺癌干细胞,内皮祖细胞,肌上皮细胞和炎性浸润。 该假设将通过追求以下特定目的来检验:
1。建立用于识别稀有粘附细胞的检测阈值。
我们将采用以不同比例表达细胞表面分子的独特组合的细胞混合物,通过流式细胞仪证实,应用于托盘阵列。 由于检测多个肿瘤细胞子集将需要多色/多抗原检测,因此我们将执行多色荧光成像以建立稀有细胞的检测阈值。 此外,我们将完善托盘阵列的设计。
2。使用细针rate(FNA)采样将此方法应用于原发性乳腺癌细胞。
将使用切除后立即进行的FNA对乳腺肿瘤标本进行试验可行性研究,以测试将发现从细胞系概括为原发性肿瘤组织的能力。 这些研究将建立乳腺癌干细胞,内皮祖细胞,肌上皮细胞,肿瘤上皮细胞和炎症性浸润的分离,鉴定和检测方法。
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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