Cranston Aaron, Howard Louise, Howard C Vyvyan
University of Cambridge and Cancer Research UK Department of Oncology, CIMR, Hills Road, Cambridge, CB2 2XY, United Kingdom.
Transgenic Res. 2004 Aug;13(4):339-48. doi: 10.1023/b:trag.0000040041.61863.20.
Over the last two decades we have witnessed the generation of hundreds, if not thousands, of lines of genetically altered mice, large numbers of which are being produced in order to model human disease. Given that their creation is still rather technically demanding and labour intensive, the time taken analysing the resultant phenotypes should be such that the maximal amount of information can be gleaned efficiently in an unbiased manner so as to be as close to the 'true' value as possible. In an attempt to characterise a cell-specific phenotype in a genetically defined knock-in mouse model of multiple endocrine neoplasia type 2B (MEN2B) we used a modern, unbiased, stereological approach called the optical fractionator to estimate total cell number in 3-D space. By applying a sampling technique to tissue blocks in a systematic random uniform manner, we demonstrate that the total number of calcitonin-immunoreactive C-cells in the thyroid glands of littermate mice harbouring activating mutations in one or both alleles of ret does not vary significantly (p = 0.46) from an unbiased estimate of 23,000 in wild-type controls; likewise, neither does mean thyroid volume (p = 0.78) when estimated using Cavalieri's principle. We demonstrate that the variation associated with the quantitative phenotyping method is negligible. Using this efficient, unbiased stereological method our results provide new insights into cell number and positioning with consequences for both normal and disease states. In summary, this unbiased stereological technique is conceptually simple, can be applied efficiently, and is pertinent to quantitating a wide variety of cell phenotypes thereby bridging specialisation boundaries. We propose the adoption of this technique to mouse experimental geneticists and recommend its horizontal transmission across all fields within experimental biology.
在过去二十年中,我们见证了数百种(甚至数千种)基因改造小鼠品系的产生,其中大量品系是为了模拟人类疾病而培育的。鉴于其培育过程在技术上仍颇具要求且 labor intensive,分析所得表型所需的时间应确保能以无偏倚的方式高效收集到最大量的信息,从而尽可能接近“真实”值。为了在基因定义的2B型多发性内分泌肿瘤(MEN2B)敲入小鼠模型中表征细胞特异性表型,我们采用了一种现代的、无偏倚的体视学方法——光学分选器,来估计三维空间中的细胞总数。通过以系统随机均匀的方式对组织块应用抽样技术,我们证明,在ret一个或两个等位基因中携带激活突变的同窝小鼠甲状腺中,降钙素免疫反应性C细胞的总数与野生型对照中无偏估计的23,000个相比,没有显著差异(p = 0.46);同样,使用卡瓦列里原理估计时,平均甲状腺体积也没有显著差异(p = 0.78)。我们证明,与定量表型分析方法相关的变异可忽略不计。使用这种高效、无偏的体视学方法,我们的结果为细胞数量和定位提供了新的见解,对正常和疾病状态都有影响。总之,这种无偏的体视学技术概念简单,应用高效,适用于定量各种细胞表型,从而跨越了专业界限。我们建议小鼠实验遗传学家采用这种技术,并推荐在实验生物学的所有领域进行横向传播。