In silico gene expression analysis--an overview.
In silico gene expression analysis--an overview.
复制标题
在硅基因表达分析中 - 概述。
DOI：
10.1186/1476-4598-6-50
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发表时间：
2007-08-07
期刊：
影响因子：
37.3
通讯作者：
Moss, Alan C
中科院分区：
文献类型：
--
作者：
Murray, David;Doran, Peter;MacMathuna, Padraic;Moss, Alan C
用于识别驱动疾病过程的生物分子的高通量策略的可用性支撑着旨在破译复杂疾病的分子基础的努力。人类基因组测序项目的完成，加上重大技术发展，为研究人员提供了对生物系统进行多维分析的无数机会。这种研究爆炸式的发展在转录组学领域最为明显。支持此类调查的技术的可负担性访问和可用性导致生成的数据量显着增加。由于大多数生物学差异现在是在基因组水平上观察到的，因此现在可以通过公共数据库公开获得大量表达信息。此外，已经开发了许多基于计算的方法来利用这些数据的力量。在这篇综述中，我们简要概述了差异基因表达分析的计算机方法，例如基因表达的串行分析和数字差异显示。对这些策略在操作和结果/产出层面的绩效进行评估和比较。完成计算机表达分析时必须考虑的关键考虑因素也作为路线图提供，以方便生物学家。此外，为了强调这些计算机方法在当代生物医学研究中的重要性，讨论了使用这些方法的当前研究的例子。这篇综述的首要目标是向科学界提供对这些策略的批判性概述，以便它们可以有效地添加到专注于识别疾病分子机制的生物医学研究人员的工具箱中。
Efforts aimed at deciphering the molecular basis of complex disease are underpinned by the availability of high throughput strategies for the identification of biomolecules that drive the disease process. The completion of the human genome-sequencing project, coupled to major technological developments, has afforded investigators myriad opportunities for multidimensional analysis of biological systems. Nowhere has this research explosion been more evident than in the field of transcriptomics. Affordable access and availability to the technology that supports such investigations has led to a significant increase in the amount of data generated. As most biological distinctions are now observed at a genomic level, a large amount of expression information is now openly available via public databases. Furthermore, numerous computational based methods have been developed to harness the power of these data. In this review we provide a brief overview of in silico methodologies for the analysis of differential gene expression such as Serial Analysis of Gene Expression and Digital Differential Display. The performance of these strategies, at both an operational and result/output level is assessed and compared. The key considerations that must be made when completing an in silico expression analysis are also presented as a roadmap to facilitate biologists. Furthermore, to highlight the importance of these in silico methodologies in contemporary biomedical research, examples of current studies using these approaches are discussed. The overriding goal of this review is to present the scientific community with a critical overview of these strategies, so that they can be effectively added to the tool box of biomedical researchers focused on identifying the molecular mechanisms of disease.