University of California Riverside, Department of Biomedical Sciences, Riverside, CA 92521, USA; University of Sheffield, Department of Biomedical Science, Sheffield S10 2TN, UK.
University of Sheffield, Department of Biomedical Science, Sheffield S10 2TN, UK.
Stem Cell Reports. 2017 Oct 10;9(4):1043-1052. doi: 10.1016/j.stemcr.2017.08.008. Epub 2017 Sep 14.
Defects in neural crest development have been implicated in many human disorders, but information about human neural crest formation mostly depends on extrapolation from model organisms. Human pluripotent stem cells (hPSCs) can be differentiated into in vitro counterparts of the neural crest, and some of the signals known to induce neural crest formation in vivo are required during this process. However, the protocols in current use tend to produce variable results, and there is no consensus as to the precise signals required for optimal neural crest differentiation. Using a fully defined culture system, we have now found that the efficient differentiation of hPSCs to neural crest depends on precise levels of BMP signaling, which are vulnerable to fluctuations in endogenous BMP production. We present a method that controls for this phenomenon and could be applied to other systems where endogenous signaling can also affect the outcome of differentiation protocols.
神经嵴发育缺陷与许多人类疾病有关,但有关人类神经嵴形成的信息主要依赖于模式生物的推断。人类多能干细胞(hPSC)可分化为神经嵴的体外对应物,并且在这个过程中需要一些已知的诱导神经嵴形成的信号。然而,目前使用的方案往往产生可变的结果,而且对于最佳神经嵴分化所需的确切信号也没有共识。使用完全定义的培养系统,我们现在发现 hPSC 向神经嵴的有效分化取决于 BMP 信号的精确水平,而 BMP 产生的内源性波动会使这些信号变得脆弱。我们提出了一种可以控制这种现象的方法,该方法可以应用于其他内源性信号也可能影响分化方案结果的系统。