Simons Johannes W I M
Department of Toxicogenetics, MGC, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands.
Biol Direct. 2009 Oct 1;4:37. doi: 10.1186/1745-6150-4-37.
We have previously shown that deviations from the average transcription profile of a group of functionally related genes are not only heritable, but also demonstrate specific patterns associated with age, gender and differentiation, thereby implicating genome-wide nuclear programming as the cause. To determine whether these results could be reproduced, a different micro-array database (obtained from two types of muscle tissue, derived from 81 human donors aged between 16 to 89 years) was studied.
This new database also revealed the existence of age, gender and tissue-specific features in a small group of functionally related genes. In order to further analyze this phenomenon, a method was developed for quantifying the contribution of different factors to the variability in gene expression, and for generating a database limited to residual values reflecting constitutional differences between individuals. These constitutional differences, presumably epigenetic in origin, contribute to about 50% of the observed residual variance which is connected with a network of interrelated changes in gene expression with some genes displaying a decrease or increase in residual variation with age.
Epigenetic variation in gene expression without a clear concomitant relation to gene function appears to be a widespread phenomenon. This variation is connected with interactions between genes, is gender and tissue specific and is related to cellular aging.This finding, together with the method developed for analysis, might contribute to the elucidation of the role of nuclear programming in differentiation, aging and carcinogenesis
This article was reviewed by Thiago M. Venancio (nominated by Aravind Iyer), Hua Li (nominated by Arcady Mushegian) and Arcady Mushegian and J.P.de Magelhaes (nominated by G. Church).
我们之前已经表明,一组功能相关基因的平均转录谱偏差不仅具有遗传性,还呈现出与年龄、性别和分化相关的特定模式,因此暗示全基因组核编程是其原因。为了确定这些结果是否能够重现,我们研究了一个不同的微阵列数据库(从81名年龄在16至89岁的人类供体的两种肌肉组织中获得)。
这个新数据库也揭示了一小部分功能相关基因中存在年龄、性别和组织特异性特征。为了进一步分析这一现象,我们开发了一种方法,用于量化不同因素对基因表达变异性的贡献,并生成一个仅限于反映个体间体质差异的残差的数据库。这些可能起源于表观遗传的体质差异,约占观察到的残差方差的50%,而残差方差与基因表达的相互关联变化网络有关,一些基因的残差变异随年龄增加或减少。
基因表达中的表观遗传变异与基因功能没有明显的伴随关系,似乎是一种普遍现象。这种变异与基因之间的相互作用有关,具有性别和组织特异性,并且与细胞衰老有关。这一发现,连同开发的分析方法,可能有助于阐明核编程在分化、衰老和致癌过程中的作用。
本文由蒂亚戈·M·韦南西奥(由阿拉文德·艾耶提名)、李华(由阿尔卡迪·穆舍吉安提名)、阿尔卡迪·穆舍吉安以及J.P.德·马热莱斯(由G.丘奇提名)评审。