蝾螈肢体再生前28天的基因表达I:实验设计和基因表达的整体分析。

Regeneration (Oxford, England) Pub Date : 2015-06-01 Epub Date: 2015-06-19 DOI:10.1002/reg2.37
S Randal Voss, Alex Palumbo, Radha Nagarajan, David M Gardiner, Ken Muneoka, Arnold J Stromberg, Antony T Athippozhy
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引用次数: 67

摘要

虽然全球基因表达分析可以为复杂的生物过程提供新的见解,但实验通常不足以实现这一目标。在这里,我们报告了一个稳健的微阵列实验的结果,蝾螈前肢再生。在截肢后的20个时间点中,我们对从远端肢体尖端收集的1毫米异质组织中分离的10个重复RNA样本的基因表达进行了估计。我们发现肢体转录程序从非损伤状态开始随着时间的推移而逐渐发散,并且在时间相邻的样本之间的发散大多是渐进的。然而,在5个时间间隔中发现了间断的转录片段,其中4个与描述良好的肢体再生阶段——截肢、早芽、晚芽和假体相吻合。结果表明,再生具有高度的时间结构和调节机制,这些机制在狭窄的时间窗口内发挥作用,以协调再生肢体细胞类型内部和之间的转录。我们的结果提供了一个综合框架的假设生成使用这个复杂的和高度信息的数据集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Gene expression during the first 28 days of axolotl limb regeneration I: Experimental design and global analysis of gene expression.

Gene expression during the first 28 days of axolotl limb regeneration I: Experimental design and global analysis of gene expression.

Gene expression during the first 28 days of axolotl limb regeneration I: Experimental design and global analysis of gene expression.

Gene expression during the first 28 days of axolotl limb regeneration I: Experimental design and global analysis of gene expression.

While it is appreciated that global gene expression analyses can provide novel insights about complex biological processes, experiments are generally insufficiently powered to achieve this goal. Here we report the results of a robust microarray experiment of axolotl forelimb regeneration. At each of 20 post-amputation time points, we estimated gene expression for 10 replicate RNA samples that were isolated from 1 mm of heterogeneous tissue collected from the distal limb tip. We show that the limb transcription program diverges progressively with time from the non-injured state, and divergence among time adjacent samples is mostly gradual. However, punctuated episodes of transcription were identified for five intervals of time, with four of these coinciding with well-described stages of limb regeneration-amputation, early bud, late bud, and pallet. The results suggest that regeneration is highly temporally structured and regulated by mechanisms that function within narrow windows of time to coordinate transcription within and across cell types of the regenerating limb. Our results provide an integrative framework for hypothesis generation using this complex and highly informative data set.

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