课题基金 / 基金详情

AUTOMATED PRENATAL SCREENING USING MATERNAL BLOOD

AUTOMATED PRENATAL SCREENING USING MATERNAL BLOOD
使用母血进行自动产前筛查
批准号:
2869901
负责人:
Fatima Aziz Merchant
金额:
$32.47万
依托单位国家:
美国
项目类别:
财政年份:
1996
资助国家:
美国
项目状态:
已结题
起止时间:
1996-09-24 至 2001-06-30

项目摘要

项目成果

Fatima Aziz Merchant的其他基金

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中文摘要
翻译
非侵入性产前筛查的概念是由细胞遗传学家在六十年代初构想的,并已稳步走向现实。科学家们已经记录了母体血液中胎儿细胞的现象,并设想将其用于产前筛查。 在母体血液中发现的胎儿细胞的微小比例,现在可以富集到几千分之一,并且可以通过荧光原位杂交(FISH)和聚合酶链反应(PCR)用染色体特异性DNA探针检测非整倍体。目前医学细胞遗传学研究的最终目标是使低成本、低风险的产前遗传筛查广泛可用。 一个关键的限制因素是胎儿细胞数量少,这使得细胞检测劳动密集,并限制了准确性。该项目的目标是开发一种先进的富集方法和一种自动化系统,该系统将允许对母体血液中的少数胎儿细胞进行可重复、无偏见和快速的检测。在I期项目期间,我们实施了一种双重方法,包括:(i)优化胎儿细胞富集方法,以及(ii)开发自动化系统以检测胎儿细胞并进行非整倍体筛选。我们的实验结果表明,平均富集胎儿细胞的比例为1.6每3000母体细胞。我们建立了一个原型自动成像系统,集成了荧光自动聚焦,载玻片扫描,细胞检测和点计数算法。我们在以不同比例掺入男性血液的女性血液样本上测试了该系统(模拟实际的胎儿与母体细胞比例),以获得系统准确度的定量数据。最后,我们估计了系统可实现的成本和时间节省,并确定了我们的方法的可行性。在第二阶段,我们将进一步开发原型并在临床环境中进行测试。 具体而言,我们将(1)优化软件以增强性能,(2)使用原型进行系统研究,(3)提高自动化系统检测胎儿细胞的特异性,处理用FISH标记的样品,并通过免疫荧光染色胎儿血红蛋白,(4)在临床环境中测试原型,(5)评估仪器的商业可行性。第三阶段将侧重于该系统的商业化,使几乎所有人口都能获得胎儿筛查。拟议的商业应用:开发的仪器将被纳入PSI的细胞遗传学自动化设备的PowerGene产品线,无论是在新的系统销售,并作为升级到现有的系统已经在使用中的细胞遗传学实验室。因此,在该项目下开发的技术将很快实现商业化。
英文摘要
The notion of a non-invasive prenatal screening test was conceived by cytogenetists in the early sixties and has been steadily moving toward reality. Scientists have documented the phenomenon of fetal cells in maternal blood, and envisioned their use in prenatal screening. The minute proportion of fetal cells found in maternal blood, can now be enriched to one per few thousand, and aneuploidies can be detected with chromosome specific DNA probes via fluorescence in situ hybridization (FISH) and polymerase chain reaction (PCR). The ultimate goal of current research in medical cytogenetics is to make low-cost, low-risk prenatal genetic screening widely available. A key limiting factor is the small number of fetal cells, which makes cell detection labor intensive, and limits accuracy. The goal of this project, is to develop a sophisticated method for enrichment and an automated system that will allow repeatable, unbiased and rapid detection of the few fetal cells in maternal blood. During the Phase I project, we implemented a two fold approach involving; (i) optimization of fetal cell enrichment methods, and (ii) development of an automated system to detect fetal cells and perform aneuploidy screening. Our experimental results indicate a mean enriched fetal cell proportion of 1.6 per 3000 maternal cells. We built a prototype automated imaging system, integrating fluorescence autofocusing, slide scanning, cell detection, and dot counting algorithms. We tested the system on samples of female blood spiked with male blood in varying proportions (mimicking actual fetal to maternal cell ratios), to obtain quantitative data on system accuracy. Finally, we estimated the cost and time savings achievable by the system and established the feasibility of our approach. In Phase II, we will further develop the prototype and test it in a clinical environment. Specifically, we will, (1) optimize the software for enhanced performance, (2) use the prototype to perform systematic studies, (3) increase the specificity of the automated system to detect fetal cells, processing samples both labeled with FISH, and stained via immunofluorescence for fetal hemoglobin, (4) test the prototype in a clinical environment, and (5) evaluate the commercial feasibility of the instrument. Phase III will focus on commercialization of the system, making fetal screening available to virtually the whole population. PROPOSED COMMERCIAL APPLICATIONS: The instrument developed will be incorporated into PSI's PowerGene product line of cytogenetics automation equipment, both in new systems sold and as an upgrade to existing systems already in use in cytogenetic labs. Thus commercialization of the technology developed under this project will occur quickly.
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3D Image Analysis Software for Breast Reconstruction Surgical Planning, Outcome Assessment & Clinical Consultation
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  • 项目类别:
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  • 财政年份:
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  • 负责人:
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  • 依托单位:
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  • 项目类别:
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  • 依托单位:
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  • 批准号:
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  • 项目类别:
  • 资助金额:
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  • 财政年份:
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  • 依托单位:
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  • 批准号:
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  • 财政年份:
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