The glomerular transcriptome and a predicted protein-protein interaction network
The glomerular transcriptome and a predicted protein-protein interaction network
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DOI：
10.1681/asn.2007050588
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发表时间：
2008-02-01
影响因子：
13.6
通讯作者：
Betsholtz, Christer
中科院分区：
文献类型：
--
作者：
He, Liqun;Sun, Ying;Betsholtz, Christer
为了增加我们对肾小球分子组成的了解，我们使用五种不同的方法对可用的来自小鼠和人的肾小球转录图谱进行了荟萃分析。我们生成了一个来自这些不同来源的肾小球丰富基因的组合目录，然后使用它来构建一个预测的肾小球蛋白质-蛋白质相互作用网络(GlomNet)。合并的肾小球丰富的基因目录提供了目前可用的肾小球分子组成的最全面的图景，GlomNet为了解在发育、功能和疾病期间运行的肾小球信号网络贡献了一种综合的系统生物学方法。
To increase our understanding of the molecular composition of the kidney glomerulus, we performed a meta-analysis of available glomerular transcriptional profiles made from mouse and man using five different methodologies. We generated a combined catalogue of glomerulus-enriched genes that emerged from these different sources and then used this to construct a predicted protein-protein interaction network in the glomerulus (GlomNet). The combined glomerulus-enriched gene catalogue provides the most comprehensive picture of the molecular composition of the glomerulus currently available, and GlomNet contributes an integrative systems biology approach to the understanding of glomerular signaling networks that operate during development, function, and disease.