Gene Expression and Discovery in Liver and Gut Stem Cel*

描述(由申请人提供)： 本申请是对名为NIDDK前体细胞基因组计划(RFA-DK-02-027)的RFA的响应。该项目将协调在干细胞分离(Goodell)、肝细胞生物学(Darlington，Weiss)、肠道发育(Henning)、生物统计学(Shaw)、cDNA微阵列制造和分析(Darlington，White)、通过新的基于序列的策略的基因图谱(Gunaratne)以及数据库管理和数据分发(Steffen，Shaw)方面具有专长的几名研究人员。除了韦斯博士，这些研究人员都是贝勒医学院的教员。这项应用的目的是鉴定从肝脏、肠道和胚胎肝脏获得的能够在培养中保持并显示出体外分化能力的干细胞群体。这些细胞的特征将通过五种方式进行：(1)通过分析与造血谱系中的干细胞相关的已知标记，(2)通过分析成熟肝脏或肠道细胞的标记，(3)通过使用延胡索乙酸酯水解酶(FAH)缺陷的小鼠移植到肝脏，(4)通过基因芯片分析，以及(5)通过基于序列的基因图谱方法。来自这些特征的数据将通过一个网站进行组织和分发，使用的软件和界面将使研究界能够方便地获取。协议、定制阵列和单元线将按要求分发。

DESCRIPTION (provided by applicant): This application is sent in response to the RFA entitled NIDDK Progenitor Cell Genome Projects (RFA-DK-02-027). The Project will coordinate several investigators with expertise in stem cell isolation (Goodell), liver cell biology (Darlington, Weiss), intestinal development (Henning), biostatistics (Shaw), cDNA microarray manufacture and analysis (Darlington, White), gene profiling by a novel sequence based strategy (Gunaratne), and database management and data distribution (Steffen, Shaw). With the exception of Dr. Weiss, these investigators are faculty at Baylor College of Medicine. The aims of the application are to characterize populations of putative stem cells from the liver, intestine and cells obtained from embryonic liver that are able to be maintained in culture and that show the capacity to differentiate in vitro. Characterization of these cells will be done in five ways; (1) by analysis of known markers that are associated with stem cells in the hematopoietic lineage, (2) by analysis of markers of mature liver or gut cells, (3) by transplantation to the liver using the fumarylacetoacetate hydrolyze (FAH) deficient mouse, (4) by cDNA microarray analysis, and (5) by a sequence based gene profiling approach. The data from these characterizations will be organized and distributed through a web site using software and interfaces that will permit easy access by the research community. Protocols, custom arrays and cell lines will be distributed on request.