Hanin Leonid, Awadalla Saria S, Cox Paul, Glazko Galina, Yakovlev Andrei
Department of Mathematics, Idaho State University, 921 S. 8th Avenue, Stop 8085, Pocatello, ID 83209-8085, USA.
J Theor Biol. 2009 Feb 7;256(3):333-42. doi: 10.1016/j.jtbi.2008.10.015. Epub 2008 Oct 29.
Recent years have seen an unprecedented surge of research activity in studies of gene expression. This extensive work, however, has been almost uniformly focused on genome-wide gene expression and has largely ignored the fundamental fact that every gene has a specific chromosome location. We propose a novel method of spectral analysis for detecting hidden periodicities in gene expression signals ordered along the length of each chromosome. Using this method, we have discovered that each chromosome in rodents and humans has a unique periodic pattern of gene expression. The uncovered spatial periodicities in gene expression are tissue-specific in the sense that the largest differences in humans were observed between two normal tissues (brain and mammary gland) as well as between their tumor counterparts (glioma and breast cancer). The smallest differences resulted from the comparison of tumors (glioma and breast cancer) with their normal counterparts. All such effects do not extend to all chromosomes but are limited to only some of them. The estimated periods and amplitudes are identical for the genes located on the positive and negative DNA strands. While precise molecular mechanisms of chromosome-specific periodicities in gene expression have yet to be unraveled, their universal presence in different tissues adds another dimension to the current understanding of the genome organization.
近年来,基因表达研究领域的研究活动出现了前所未有的激增。然而,这项广泛的工作几乎都集中在全基因组范围的基因表达上,并且在很大程度上忽略了一个基本事实,即每个基因都有特定的染色体位置。我们提出了一种新的光谱分析方法,用于检测沿每条染色体长度排列的基因表达信号中的隐藏周期性。使用这种方法,我们发现啮齿动物和人类的每条染色体都有独特的基因表达周期性模式。基因表达中发现的空间周期性是组织特异性的,因为在人类中,观察到的最大差异存在于两种正常组织(脑和乳腺)之间以及它们的肿瘤对应物(胶质瘤和乳腺癌)之间。最小的差异来自肿瘤(胶质瘤和乳腺癌)与其正常对应物的比较。所有这些效应并不扩展到所有染色体,而仅限于其中一些染色体。位于正、负DNA链上的基因的估计周期和振幅是相同的。虽然基因表达中染色体特异性周期性的精确分子机制尚未阐明,但它们在不同组织中的普遍存在为当前对基因组组织的理解增添了新的维度。