A DNA microarray survey of gene expression in normal human tissues.
A DNA microarray survey of gene expression in normal human tissues.
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DOI：
10.1186/gb-2005-6-3-r22
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发表时间：
2005
期刊：
影响因子：
12.3
通讯作者：
Pollack JR
中科院分区：
文献类型：
--
作者：
Shyamsundar R;Kim YH;Higgins JP;Montgomery K;Jorden M;Sethuraman A;van de Rijn M;Botstein D;Brown PO;Pollack JR
使用cDNA微阵列对115个人体组织样本中的基因表达进行系统调查，提供了一个数据集，该数据集可用作与患病组织中的表达进行比较的基线。许多研究已经使用DNA微阵列来调查癌症和其他疾病状态中的基因表达。相对而言，人们对正常人体组织中表达的基因知之甚少。通过将特定基因表达的变异与表达它们的细胞或组织中的表型变异联系起来，对全球基因表达模式进行系统研究，为不同细胞的分子组织和基因的潜在作用提供了线索。在这里，我们描述了一个系统的调查基因表达的115人组织样本代表35种不同的组织类型，使用cDNA微阵列代表约26,000种不同的人类基因。对这些组织中的基因表达模式进行无监督的层次聚类分析，确定了具有相关生物学功能的基因簇，并将组织标本分组为反映其解剖位置、细胞组成或生理功能的模式。在无监督和有监督的分析中，组织特异性的基因表达模式很容易辨别。通过与正常基因组DNA的比较杂交，我们也能够估计表达基因的转录丰度。我们的数据集提供了与患病组织进行比较的基线，并将有助于识别组织特异性功能。此外，我们的分析确定了检测特定器官和组织损伤的潜在分子标志物，并为选择性抗癌治疗的潜在靶点提供了基础。
A systematic survey of gene expression in 115 human tissue samples using cDNA microarrays provides a dataset that can be used as a baseline for comparison with expression in diseased tissue. Numerous studies have used DNA microarrays to survey gene expression in cancer and other disease states. Comparatively little is known about the genes expressed across the gamut of normal human tissues. Systematic studies of global gene-expression patterns, by linking variation in the expression of specific genes to phenotypic variation in the cells or tissues in which they are expressed, provide clues to the molecular organization of diverse cells and to the potential roles of the genes. Here we describe a systematic survey of gene expression in 115 human tissue samples representing 35 different tissue types, using cDNA microarrays representing approximately 26,000 different human genes. Unsupervised hierarchical cluster analysis of the gene-expression patterns in these tissues identified clusters of genes with related biological functions and grouped the tissue specimens in a pattern that reflected their anatomic locations, cellular compositions or physiologic functions. In unsupervised and supervised analyses, tissue-specific patterns of gene expression were readily discernable. By comparative hybridization to normal genomic DNA, we were also able to estimate transcript abundances for expressed genes. Our dataset provides a baseline for comparison to diseased tissues, and will aid in the identification of tissue-specific functions. In addition, our analysis identifies potential molecular markers for detection of injury to specific organs and tissues, and provides a foundation for selection of potential targets for selective anticancer therapy.
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影响因子：
50.3
作者：
Armstrong, SA;Kung, AL;Korsmeyer, SJ
通讯作者：
Korsmeyer, SJ
DOI：
10.1073/pnas.96.16.9212
发表时间：
1999-08-03
影响因子：
11.1
作者：
Perou, CM;Jeffrey, SS;Botstein, D
通讯作者：
Botstein, D
影响因子：
64.8
作者：
Alizadeh, AA;Eisen, MB;Staudt, LM
通讯作者：
Staudt, LM
影响因子：
30.8
作者：
Stegmaier, K;Ross, KN;Golub, TR
通讯作者：
Golub, TR
影响因子：
4.7
作者：
Schuler, GD
通讯作者：
Schuler, GD