Lillehei Heart Institute, University of Minnesota, Minneapolis, MN, USA.
Skelet Muscle. 2012 Jun 15;2(1):13. doi: 10.1186/2044-5040-2-13.
Muscle growth and repair is accomplished by the satellite cell pool, a self-renewing population of myogenic progenitors. Functional heterogeneity within the satellite cell compartment and changes in potential with experimental intervention can be revealed by in vitro colony-forming cell (CFC) assays, however large numbers of colonies need to be assayed to give meaningful data, and manually quantifying nuclei and scoring markers of differentiation is experimentally limiting.
We present G-Tool, a multiplatform (Java) open-source algorithm that analyzes an ensemble of fluorescent micrographs of satellite cell-derived colonies to provide quantitative and statistically meaningful metrics of myogenic potential, including proliferation capacity and propensity to differentiate.
We demonstrate the utility of G-Tool in two applications: first, we quantify the response of satellite cells to oxygen concentration. Compared to 3% oxygen which approximates tissue levels, we find that 21% oxygen, the ambient level, markedly limits the proliferative potential of transit amplifying progeny but at the same time inhibits the rate of terminal myogenic differentiation. We also test whether satellite cells from different muscles have intrinsic differences that can be read out in vitro. Compared to masseter, dorsi, forelimb and hindlimb muscles, we find that the diaphragm satellite cells have significantly increased proliferative potential and a reduced propensity to spontaneously differentiate. These features may be related to the unique always-active status of the diaphragm.
G-Tool facilitates consistent and reproducible CFC analysis between experiments and individuals. It is released under an open-source license that enables further development by interested members of the community.
肌肉的生长和修复是通过卫星细胞池完成的,卫星细胞池是一种自我更新的成肌祖细胞群体。通过体外集落形成细胞(CFC)测定,可以揭示卫星细胞区室中的功能异质性以及实验干预下潜能的变化,但是需要测定大量的集落才能获得有意义的数据,并且手动定量细胞核和评分分化标志物在实验上受到限制。
我们提出了 G-Tool,这是一个多平台(Java)开源算法,可分析卫星细胞衍生集落的荧光显微镜图像的集合,以提供肌肉发生潜能的定量和具有统计学意义的指标,包括增殖能力和分化倾向。
我们在两个应用中证明了 G-Tool 的实用性:首先,我们量化了卫星细胞对氧浓度的反应。与接近组织水平的 3%氧相比,我们发现 21%氧,即环境水平,明显限制了过渡扩增后代的增殖潜能,但同时抑制了终末成肌分化的速度。我们还测试了来自不同肌肉的卫星细胞是否具有可以在体外读出的内在差异。与咬肌、背肌、前肢和后肢肌肉相比,我们发现膈肌卫星细胞的增殖潜能显著增加,自发分化的倾向降低。这些特征可能与膈肌的独特始终活跃状态有关。
G-Tool 促进了实验之间和个体之间一致且可重复的 CFC 分析。它是在开源许可证下发布的,允许社区中感兴趣的成员进行进一步开发。