Proliferation history and transcription factor levels drive direct conversion to motor neurons.

IF 7.7 Cell systems Pub Date : 2025-04-16 Epub Date: 2025-03-13 DOI:10.1016/j.cels.2025.101205
Nathan B Wang, Brittany A Lende-Dorn, Adam M Beitz, Patrick Han, Honour O Adewumi, Timothy M O'Shea, Kate E Galloway
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Abstract

The sparse and stochastic nature of conversion has obscured our understanding of how transcription factors (TFs) drive cells to new identities. To overcome this limit, we develop a tailored, high-efficiency conversion system that increases the direct conversion of fibroblasts to motor neurons 100-fold. By tailoring the cocktail to a minimal set of transcripts, we reduce extrinsic variation, allowing us to examine how proliferation and TFs synergistically drive conversion. We show that cell state-as set by proliferation history-defines how cells interpret the levels of TFs. Controlling for proliferation history and titrating each TF, we find that conversion correlates with levels of the pioneer TF Ngn2. By isolating cells by both their proliferation history and Ngn2 levels, we demonstrate that levels of Ngn2 expression alone are insufficient to predict conversion rates. Rather, proliferation history and TF levels combine to drive direct conversion. Finally, increasing the proliferation rate of adult human fibroblasts generates morphologically mature induced human motor neurons at high rates.

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增殖历史和转录因子水平驱动直接转化为运动神经元。
转换的稀疏性和随机性模糊了我们对转录因子(tf)如何驱动细胞获得新身份的理解。为了克服这一限制,我们开发了一种量身定制的高效转化系统,将成纤维细胞直接转化为运动神经元的能力提高了100倍。通过将混合物裁剪为最小的转录本集,我们减少了外部变异,使我们能够研究增殖和tf如何协同驱动转化。我们表明,细胞状态——由增殖史设定——决定了细胞如何解释tf的水平。控制增殖历史并滴定每个TF,我们发现转换与先锋TF Ngn2的水平相关。通过分离细胞的增殖史和Ngn2水平,我们证明仅Ngn2表达水平不足以预测转化率。相反,增殖历史和TF水平结合起来驱动直接转化。最后,增加成人成纤维细胞的增殖率,可以高速率产生形态成熟的人运动神经元。
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