Sarma Subrot, Kerwin Janet, Puelles Luis, Scott Mark, Strachan Tom, Feng Guangjie, Sharpe James, Davidson Duncan, Baldock Richard, Lindsay Susan
Institute of Human Genetics, University of Newcastle, Central Parkway, UK.
Brain Res Bull. 2005 Sep 15;66(4-6):449-53. doi: 10.1016/j.brainresbull.2005.05.022.
As human brain development proceeds, there are complex changes in size and shape, most notably in the developing forebrain. Molecular technologies enable us to characterise the gene expression patterns that underlie these changes. To interpret these patterns the location of expression must be identified and, often, gene expression patterns compared for several genes or across several developmental stages. To facilitate interpretation we have generated a set of three-dimensional models using a recently developed technique, optical projection tomography. The models act as a framework onto which gene expression patterns are mapped and anatomical domains identified using custom-designed software, MAPaint. Here, we demonstrate their use to compare forebrain development at two embryonic stages (Carnegie stages 18 and 21; 44 and 52 days post conception, respectively) and as a means of recording, storing and visualising gene expression data for three example genes EMX1, EMX2 and OTX2. Anatomical domains were also mapped to the models and the comparison of gene expression and anatomical data is demonstrated at Carnegie stage 21. The three-dimensional models and sophisticated software facilitate the analysis and visualisation of morphological changes and gene expression patterns during early brain development and can be applied to the development of other complex structures.
随着人类大脑的发育,其大小和形状会发生复杂的变化,最显著的是在发育中的前脑。分子技术使我们能够表征这些变化背后的基因表达模式。为了解释这些模式,必须确定表达的位置,并且通常要比较几个基因或几个发育阶段的基因表达模式。为了便于解释,我们使用最近开发的光学投影断层扫描技术生成了一组三维模型。这些模型作为一个框架,在其上绘制基因表达模式,并使用定制设计的软件MAPaint识别解剖区域。在这里,我们展示了它们用于比较两个胚胎阶段(分别为卡内基阶段18和21;受孕后44和52天)前脑发育的用途,并作为记录、存储和可视化三个示例基因EMX1、EMX2和OTX2基因表达数据的一种手段。还将解剖区域映射到模型上,并在卡内基阶段21展示了基因表达与解剖数据的比较。这些三维模型和复杂的软件有助于分析和可视化早期大脑发育过程中的形态变化和基因表达模式,并且可以应用于其他复杂结构的发育研究。