School of Life Sciences, University of Nevada, Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154-4004, USA.
FEBS Lett. 2012 Jul 4;586(14):1942-52. doi: 10.1016/j.febslet.2012.03.050. Epub 2012 Mar 31.
Bone Morphogenetic Proteins (BMPs) are critical for pattern formation in many animals. In numerous tissues, BMPs become distributed in spatially non-uniform profiles. The gradients of signaling activity can be detected by a number of biological assays involving fluorescence microscopy. Quantitative analyses of BMP gradients are powerful tools to investigate the regulation of BMP signaling pathways during development. These approaches rely heavily on images as spatial representations of BMP activity levels, using them to infer signaling distributions that inform on regulatory mechanisms. In this perspective, we discuss current imaging assays and normalization methods used to quantify BMP activity profiles with a focus on the Drosophila wing primordium. We find that normalization tends to lower the number of samples required to establish statistical significance between profiles in controls and experiments, but the increased resolvability comes with a cost. Each normalization strategy makes implicit assumptions about the biology that impacts our interpretation of the data. We examine the tradeoffs for normalizing versus not normalizing, and discuss their impacts on experimental design and the interpretation of resultant data.
骨形态发生蛋白(BMPs)在许多动物的形态发生中起着至关重要的作用。在许多组织中,BMPs 的分布呈现出空间非均匀的模式。通过涉及荧光显微镜的许多生物学测定,可以检测到信号活性的梯度。BMP 梯度的定量分析是研究发育过程中 BMP 信号通路调控的有力工具。这些方法严重依赖于图像作为 BMP 活性水平的空间表示,使用它们来推断信号分布,从而为调控机制提供信息。在本观点中,我们讨论了当前用于定量分析 BMP 活性图谱的成像测定和归一化方法,重点介绍了果蝇翅原基。我们发现,归一化往往会降低在对照和实验之间建立统计学意义所需的样本数量,但提高分辨率是有代价的。每种归一化策略都对生物学做出了隐含的假设,这会影响我们对数据的解释。我们检查了归一化与非归一化的权衡,并讨论了它们对实验设计和对结果数据的解释的影响。