...
首页> 外文期刊>Proteome science >Computational synchronization of microarray data with application to Plasmodium falciparum
【24h】

Computational synchronization of microarray data with application to Plasmodium falciparum

机译:微阵列数据的计算同步及其在恶性疟原虫中的应用

获取原文
   

获取外文期刊封面封底 >>

       

摘要

Background Microarrays are widely used to investigate the blood stage of Plasmodium falciparum infection. Starting with synchronized cells, gene expression levels are continually measured over the 48-hour intra-erythrocytic cycle (IDC). However, the cell population gradually loses synchrony during the experiment. As a result, the microarray measurements are blurred. In this paper, we propose a generalized deconvolution approach to reconstruct the intrinsic expression pattern, and apply it to P. falciparum IDC microarray data. Methods We develop a statistical model for the decay of synchrony among cells, and reconstruct the expression pattern through statistical inference. The proposed method can handle microarray measurements with noise and missing data. The original gene expression patterns become more apparent in the reconstructed profiles, making it easier to analyze and interpret the data. We hypothesize that reconstructed gene expression patterns represent better temporally resolved expression profiles that can be probabilistically modeled to match changes in expression level to IDC transitions. In particular, we identify transcriptionally regulated protein kinases putatively involved in regulating the P. falciparum IDC. Results By analyzing publicly available microarray data sets for the P. falciparum IDC, protein kinases are ranked in terms of their likelihood to be involved in regulating transitions between the ring, trophozoite and schizont developmental stages of the P. falciparum IDC. In our theoretical framework, a few protein kinases have high probability rankings, and could potentially be involved in regulating these developmental transitions. Conclusions This study proposes a new methodology for extracting intrinsic expression patterns from microarray data. By applying this method to P. falciparum microarray data, several protein kinases are predicted to play a significant role in the P. falciparum IDC. Earlier experiments have indeed confirmed that several of these kinases are involved in this process. Overall, these results indicate that further functional analysis of these additional putative protein kinases may reveal new insights into how the P. falciparum IDC is regulated.
机译:背景技术微阵列广泛用于研究恶性疟原虫感染的血液阶段。从同步细胞开始,在48小时内的红细胞周期(IDC)内不断测量基因表达水平。但是,细胞群体在实验过程中逐渐失去同步性。结果,微阵列测量值变得模糊。在本文中,我们提出了一种通用的去卷积方法来重建内在表达模式,并将其应用于恶性疟原虫IDC微阵列数据。方法建立细胞间同步性衰退的统计模型,并通过统计推断重构其表达模式。所提出的方法可以处理带有噪声和丢失数据的微阵列测量。原始基因表达模式在重建的谱图中变得更加明显,从而使分析和解释数据更加容易。我们假设重建的基因表达模式代表了更好的时间分辨表达谱,可以通过概率建模将表达水平的变化与IDC过渡相匹配。特别是,我们确定了可能参与调节恶性疟原虫IDC的转录调节蛋白激酶。结果通过分析恶性疟原虫IDC的可公开获得的微阵列数据集,对蛋白激酶进行了分类,根据其参与调节恶性疟原虫IDC的环,滋养体和裂殖体发育阶段之间的过渡的可能性。在我们的理论框架中,一些蛋白激酶具有很高的概率排名,并且可能潜在地参与调节这些发育过渡。结论这项研究提出了一种从微阵列数据中提取内在表达模式的新方法。通过将此方法应用于恶性疟原虫微阵列数据,可以预测几种蛋白激酶在恶性疟原虫IDC中起重要作用。先前的实验确实证实了这些激酶中的几种与该过程有关。总体而言,这些结果表明,对这些其他推定蛋白激酶的进一步功能分析可能揭示出恶性疟原虫IDC如何被调控的新见解。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号