The gene expression data of Mycobacterium tuberculosis based on Affymetrix gene chips provide insight into regulatory and hypothetical genes.
The gene expression data of Mycobacterium tuberculosis based on Affymetrix gene chips provide insight into regulatory and hypothetical genes.
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DOI：
10.1186/1471-2180-7-37
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发表时间：
2007-05-14
期刊：
影响因子：
4.2
通讯作者：
Fu-Liu CS
中科院分区：
文献类型：
--
作者：
Fu LM;Fu-Liu CS
结核病仍然是威胁全球公共健康的主要传染病。多重耐药和潜伏感染使其控制和管理变得复杂，这促使科学家寻找新的更有效的药物。随着病原菌结核分枝杆菌基因组序列的完成，现在可以通过筛选大量的基因产物来寻找新的药物靶点，并基于微阵列技术进行基因组规模的实验。然而，全基因组微阵列分析在配置结核分枝杆菌所有基因之间的相互关系方面的全部潜力尚未实现。到目前为止，只有基因组中预测的52%的蛋白质才有可能具有某种功能。我们使用高分辨率Affymetrix寡核苷酸基因芯片进行了功能基因组学研究。在结核分枝杆菌体外生长的对数阶段，发现大约一半的基因总是在基因组中表达，其中包括100多个预测的保守假设。基因表达谱通过聚类分析进行分析和可视化，以概括基因组行为的全部细节。这项研究中全基因组表达实验得出的广泛模式为了解结核分枝杆菌基本细胞过程中基因之间的相互关系提供了洞察力。我们的结果证实了几个已知的基因簇在能量产生、信息通路和脂类代谢中的作用，也暗示了假想和调节蛋白的潜在作用。
Tuberculosis remains a leading infectious disease with global public health threat. Its control and management have been complicated by multi-drug resistance and latent infection, which prompts scientists to find new and more effective drugs. With the completion of the genome sequence of the etiologic bacterium, Mycobacterium tuberculosis, it is now feasible to search for new drug targets by sieving through a large number of gene products and conduct genome-scale experiments based on microarray technology. However, the full potential of genome-wide microarray analysis in configuring interrelationships among all genes in M. tuberculosis has yet to be realized. To date, it is only possible to assign a function to 52% of proteins predicted in the genome. We conducted a functional-genomics study using the high-resolution Affymetrix oligonucleotide GeneChip. Approximately one-half of the genes were found to be always expressed, including more than 100 predicted conserved hypotheticals, in the genome of M. tuberculosis during the log phase of in vitro growth. The gene expression profiles were analyzed and visualized through cluster analysis to epitomize the full details of genomic behavior. Broad patterns derived from genome-wide expression experiments in this study have provided insight into the interrelationships among genes in the basic cellular processes of M. tuberculosis. Our results have confirmed several known gene clusters in energy production, information pathways, and lipid metabolism, and also hinted at potential roles of hypothetical and regulatory proteins.
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影响因子：
2.8
作者：
Stewart, GR;Wernisch, L;Butcher, PD
通讯作者：
Butcher, PD
影响因子：
3.2
作者：
Voskuil, MI;Visconti, KC;Schoolnik, GK
通讯作者：
Schoolnik, GK
影响因子：
3.1
作者：
Frota, CC;Papavinasasundaram, KG;Colston, MJ
通讯作者：
Colston, MJ
DOI：
10.1073/pnas.96.22.12833
发表时间：
1999-10-26
影响因子：
11.1
作者：
Wilson, W;DeRisi, J;Schoolnik, GK
通讯作者：
Schoolnik, GK
影响因子：
3.2
作者：
Fisher, MA;Plikaytis, BB;Shinnick, TM
通讯作者：
Shinnick, TM