CIDA:用于微阵列设计、表征和全局比较的集成软件

Sabah Khalid, Mohsin A.F. Khan, Alistair L. J. Symonds, K. Fraser, Ping Wang, Xiaohui Liu, Suling Li
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摘要

微阵列技术在系统生物学领域产生了重大影响,涉及对调节人类生命的生物系统的研究。考虑到人类基因组的复杂性,在任何特定疾病的个体基础上识别重要的基因无疑是耗时和低效的。因此,在一个单一的实验中整个人类基因组的遗传图谱导致微阵列技术成为广泛使用的实验工具。然而,如果没有使用微阵列数据分析的几个方面的工具,该技术是有限的。迄今为止,还没有开发出这样的工具,可以整合来自不同研究实验室的众多微阵列结果,并以经济有效的方式设计定制的基因芯片。鉴于此,我们设计了第一个集成和自动化的软件芯片集成,设计和注释(CIDA),用于微阵列基因芯片的交叉比较,设计和功能注释。该软件为分子生物学家提供了交叉比较多个微阵列研究产生的生物特征的控制,根据他们的研究要求设计定制的微阵列基因芯片,最后在免疫基因组学的背景下表征微阵列数据。通过相关微阵列实验的相对比较,我们确定了258个具有共同基因表达谱的基因,这些基因表达谱不仅在无能T细胞中上调,而且在过度表达转录因子Egr2的细胞中也被确定在T细胞能量中发挥作用。利用CIDA的基因芯片设计方面,我们设计并随后制造了由1758个基因组成的免疫耐受基因芯片,用于进一步的研究。该软件和数据库模式可在ftp://ftp.brunel.ac.uk/cspgssk/CIDA/免费获得。其他资料可在http://www.brunel.ac.uk/about/acad/health/healthres/researchgroups/mi/publications/supp elementary /cida网站上获得
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CIDA: An integrated software for the design, characterisation and global comparison of microarrays
Microarray technology has had a significant impact in the field of systems biology involving the investigation into the biological systems that regulate human life. Identifying genes of significant interest within any given disease on an individual basis is no doubt time consuming and inefficient when considering the complexity of the human genome. Thus, the genetic profiling of the entire human genome in a single experiment has resulted in microarray technology becoming a widely used experimental tool. However, without the use of tools for several aspects of microarray data analysis the technology is limited. To date, no such tool has been developed that allows the integration of numerous microarray results from different research laboratories as well as the design of customised gene chips in a cost-effective manner. In light of this, we have designed the first integrated and automated software called Chip Integration, Design and Annotation (CIDA) for the cross comparison, design and functional annotation of microarray gene chips. The software provides molecular biologists with the control to cross compare the biological signatures generated from multiple microarray studies, design custom microarray gene chips based on their research requirements and lastly characterise microarray data in the context of immunogenomics. Through the relative comparison of related microarray experiments we have identified 258 genes with common gene expression profiles that are not only upregulated in anergic T cells, but also in cells over-expressing the transcription factor Egr2, that has been identified to play a role in T cell anergy. Using the gene chip design aspect of CIDA we have designed and subsequently fabricate immuno-tolerance gene chips consisting of 1758 genes for further research. The software and database schema is freely available at ftp://ftp.brunel.ac.uk/cspgssk/CIDA/. Additional material is available online at http://www.brunel.ac.uk/about/acad/health/healthres/researchgroups/mi/publications/supp lementary/cida
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