Engineering cell fate: Applying synthetic biology to cellular reprogramming.
Engineering cell fate: Applying synthetic biology to cellular reprogramming.
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DOI：
10.1016/j.coisb.2020.09.002
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发表时间：
2020-12
影响因子：
3.7
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中科院分区：
文献类型：
--
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细胞重新编程将细胞从一个稳定的身份驱动到一个新的细胞命运。通过从不同的遗传背景产生以前无法获得的各种细胞类型，细胞重新编程正在迅速改变我们研究疾病的方式。然而，低效率和有限的成熟度限制了体外衍生细胞模型的采用。为了克服这些限制并提高对细胞重新编程的机械理解，已经部署了许多合成生物学工具。最近的合成生物学方法通过解决重编程的三个重大挑战来推进重编程：重编程因子的传递、表观遗传障碍和潜在的捐赠者身份。此外，来自重编程的分子系统生物学的新见解揭示了如何利用重编程的系统级驱动因素来进一步推进重编程技术。此外，最近发展起来的合成生物学工具为设计细胞命运提供了新的模式。
Cellular reprogramming drives cells from one stable identity to a new cell fate. By generating a diversity of previously inaccessible cell types from diverse genetic backgrounds, cellular reprogramming is rapidly transforming how we study disease. However, low efficiency and limited maturity have limited the adoption of in vitro-derived cellular models. To overcome these limitations and improve mechanistic understanding of cellular reprogramming, a host of synthetic biology tools have been deployed. Recent synthetic biology approaches have advanced reprogramming by tackling three significant challenges to reprogramming: delivery of reprogramming factors, epigenetic roadblocks, and latent donor identity. In addition, emerging insight from the molecular systems biology of reprogramming reveal how systems-level drivers of reprogramming can be harnessed to further advance reprogramming technologies. Furthermore, recently developed synthetic biology tools offer new modes for engineering cell fate.