Serial analysis of gene expression in P.falciparum

描述：(申请人提供)：高通量方法的出现 与疟疾基因组一起分析全球基因表达 计划为我们提供新的机会，加深我们对 疟疾寄生虫的基本生物学和毒力。一系列的分析 基因表达(SAGE)特别适合疟疾系统，因为 人们对基因的表达知之甚少，也不知道在 测序项目的功能未知。Sage是一种非常强大的工具 用于同时定量分析mRNA转录本 来自给定细胞群体的图谱，允许发现新的基因。 这是第一次有可能检查所有 基因对药物治疗或体内免疫压力等刺激作用。 下一步是将基因组序列与功能并最终与生物学联系起来 挑战。在其他系统中工作，如酿酒酵母和人类 已经表现出对生长条件变化的多基因反应，细胞 不同癌症的周期变化、对药物治疗的反应。是这样的 基因表达模式已被证明在识别基因网络方面很有用 在共同控制下，并导致识别新的途径，可以 被用于药物和疫苗开发。这种方法允许 对新基因进行功能分析，而不需要事先知道其身份。这个 这项工作的目标是通过检测恶性疟原虫的转录 确定寄生虫预测的7000个基因中的哪些是表达的 在寄生虫生命周期的不同阶段或在不同的条件下 如在药物存在或免疫压力下。这个表达方式 然后，信息将被用来选择特定的基因以进一步发挥功能 分析并确定基因表达的网络或模式 有助于识别控制疟原虫转录的元件 恶性疟原虫。这项工作的成果将作为科学研究的资源 社区，无论是在功能分析方面，还是在识别 新基因的功能。这些目标都将在发展中实现 基因表达序列分析(SAGE)技术的优化 恶性疟原虫；基因表达和基因表达网络的鉴定 参与反应特异性转录的顺式元件的特征 控制和使用基因表达谱和网络来识别新的 药物和疫苗开发的目标。

DESCRIPTION: (provided by the applicant): The advent of high-throughput methods for the analysis of global gene expression together with the Malaria Genome Project open up new opportunities for furthering our understanding of the fundamental biology and virulence of the malaria parasite. Serial analysis of gene expression (SAGE) is particularly well suited for malarial systems, as little is known about gene expression and the many of genes identified in the sequencing project are of unknown function. SAGE is an extremely powerful tool with which to simultaneously and quantitatively analyze mRNA transcript profiles from a given cell population, allowing for the discovery of new genes. For the first time, it is now possible to examine the response of all of the genes to stimuli such as drug treatment or immune pressure in vivo. Relating genomic sequence to function and ultimately to the biology is the next challenge. Work in other systems such as Saccharomyces cerevisiae and humans has demonstrated a multigenic response to changes in growth conditions, cell cycle changes, responses to drug treatment and in different cancers. Such patterns of gene expression have proven useful in identifying networks of genes under common control and led to the identification of novel pathways which can be exploited for drug and vaccine development. Such approaches allow for the functional analysis of new genes without prior knowledge of the identity. The goal of this work is to examine transcription in Plasmodium falciparum through the determination of which of the parasite's predicted 7000 genes are expressed at various stages of the parasite life cycle or under different conditions such as in the presence of drug or under immune pressure. This expression information will then be used to choose specific genes for further functional analysis and to identify networks or patterns of gene expression that will be useful in identifying elements which control transcription in Plasmodium falciparum. Results from this work will serve as a resource of the scientific community, both in term of functional analysis and in the identification of functions of new genes. These goals will be achieved the development and optimization of the Serial Analysis of Gene Expression (SAGE) technology for Plasmodium falciparum; identification of networks of gene expression and characterization of cis elements involved in response-specific transcriptional control and the use of gene expression profiles and networks to identify new targets for drug and vaccine development.