Sensing and guiding cell-state transitions by using genetically encoded endoribonuclease-mediated microRNA sensors

IF 26.8 1区 医学 Q1 ENGINEERING, BIOMEDICAL
Lei Wang, Wenlong Xu, Shun Zhang, Gregory C. Gundberg, Christine R. Zheng, Zhengpeng Wan, Kamila Mustafina, Fabio Caliendo, Hayden Sandt, Roger Kamm, Ron Weiss
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Abstract

Precisely sensing and guiding cell-state transitions via the conditional genetic activation of appropriate differentiation factors is challenging. Here we show that desired cell-state transitions can be guided via genetically encoded sensors, whereby endogenous cell-state-specific miRNAs regulate the translation of a constitutively transcribed endoribonuclease, which, in turn, controls the translation of a gene of interest. We used this approach to monitor several cell-state transitions, to enrich specific cell types and to automatically guide the multistep differentiation of human induced pluripotent stem cells towards a haematopoietic lineage via endothelial cells as an intermediate state. Such conditional activation of gene expression is durable and resistant to epigenetic silencing and could facilitate the monitoring of cell-state transitions in physiological and pathological conditions and eventually the ‘rewiring’ of cell-state transitions for applications in organoid-based disease modelling, cellular therapies and regenerative medicine.

Abstract Image

利用基因编码的内切核酸酶介导的 microRNA 传感器感知和引导细胞状态转换
通过有条件的基因激活适当的分化因子来精确地感知和引导细胞状态的转变具有挑战性。在这里,我们展示了可以通过基因编码的传感器引导所需的细胞状态转换,即内源性细胞状态特异性 miRNA 调节组成型转录内切酶的翻译,而内切酶反过来又控制相关基因的翻译。我们利用这种方法监测了几种细胞状态的转变,富集了特定的细胞类型,并通过内皮细胞作为中间状态,自动引导人类诱导多能干细胞向造血系的多步分化。这种有条件的基因表达激活是持久的,可抵御表观遗传沉默,有助于监测生理和病理条件下的细胞状态转换,并最终 "重新连接 "细胞状态转换,应用于基于器官的疾病建模、细胞疗法和再生医学。
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来源期刊
Nature Biomedical Engineering
Nature Biomedical Engineering Medicine-Medicine (miscellaneous)
CiteScore
45.30
自引率
1.10%
发文量
138
期刊介绍: Nature Biomedical Engineering is an online-only monthly journal that was launched in January 2017. It aims to publish original research, reviews, and commentary focusing on applied biomedicine and health technology. The journal targets a diverse audience, including life scientists who are involved in developing experimental or computational systems and methods to enhance our understanding of human physiology. It also covers biomedical researchers and engineers who are engaged in designing or optimizing therapies, assays, devices, or procedures for diagnosing or treating diseases. Additionally, clinicians, who make use of research outputs to evaluate patient health or administer therapy in various clinical settings and healthcare contexts, are also part of the target audience.
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