Eckley D Mark, Rahimi Salim, Mantilla Sandra, Orlov Nikita V, Coletta Christopher E, Wilson Mark A, Iser Wendy B, Delaney John D, Zhang Yongqing, Wood William, Becker Kevin G, Wolkow Catherine A, Goldberg Ilya G
Image Informatics and Computational Biology Unit, Laboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Age (Dordr). 2013 Jun;35(3):689-703. doi: 10.1007/s11357-012-9401-2. Epub 2012 May 20.
We present an initial molecular characterization of a morphological transition between two early aging states. In previous work, an age score reflecting physiological age was developed using a machine classifier trained on images of worm populations at fixed chronological ages throughout their lifespan. The distribution of age scores identified three stable post-developmental states and transitions. The first transition occurs at day 5 post-hatching, where a significant percentage of the population exists in both state I and state II. The temperature dependence of the timing of this transition (Q 10 ~ 1.17) is too low to be explained by a stepwise process with an enzymatic or chemical rate-limiting step, potentially implicating a more complex mechanism. Individual animals at day 5 were sorted into state I and state II groups using the machine classifier and analyzed by microarray expression profiling. Despite being isogenic, grown for the same amount of time, and indistinguishable by eye, these two morphological states were confirmed to be molecularly distinct by hierarchical clustering and principal component analysis of the microarray results. These molecular differences suggest that pharynx morphology reflects the aging state of the whole organism. Our expression profiling yielded a gene set that showed significant overlap with those from three previous age-related studies and identified several genes not previously implicated in aging. A highly represented group of genes unique to this study is involved in targeted ubiquitin-mediated proteolysis, including Skp1-related (SKR), F-box-containing, and BTB motif adaptors.
我们展示了两种早期衰老状态之间形态转变的初步分子特征。在先前的工作中,通过在整个寿命周期内固定实足年龄的蠕虫群体图像上训练的机器分类器,开发了一种反映生理年龄的年龄评分。年龄评分的分布确定了三种稳定的发育后状态和转变。第一次转变发生在孵化后第5天,此时相当大比例的群体同时处于状态I和状态II。这种转变时间的温度依赖性(Q10~1.17)过低,无法用具有酶促或化学限速步骤的逐步过程来解释,这可能暗示着一种更复杂的机制。使用机器分类器将第5天的个体动物分为状态I和状态II组,并通过微阵列表达谱分析。尽管这些动物是同基因的,生长时间相同,肉眼无法区分,但通过对微阵列结果的层次聚类和主成分分析,证实这两种形态状态在分子上是不同的。这些分子差异表明咽形态反映了整个生物体的衰老状态。我们的表达谱分析产生了一组基因,该组基因与之前三项与年龄相关的研究中的基因有显著重叠,并鉴定出了几个之前未涉及衰老的基因。本研究中一组高度代表性的独特基因参与了靶向泛素介导的蛋白水解,包括Skp1相关(SKR)、含F盒和BTB基序衔接子。