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通过直接重编程过程中的命运滴定和碰撞来探测细胞身份层次结构。

Probing cell identity hierarchies by fate titration and collision during direct reprogramming.

机构信息

Institute of Stem Cell Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Oberschleißheim, Germany.

Division of Physiological Genomics, Biomedical Center Munich, Ludwig-Maximilians University, Munich, Germany.

出版信息

Mol Syst Biol. 2022 Sep;18(9):e11129. doi: 10.15252/msb.202211129.

Abstract

Despite the therapeutic promise of direct reprogramming, basic principles concerning fate erasure and the mechanisms to resolve cell identity conflicts remain unclear. To tackle these fundamental questions, we established a single-cell protocol for the simultaneous analysis of multiple cell fate conversion events based on combinatorial and traceable reprogramming factor expression: Collide-seq. Collide-seq revealed the lack of a common mechanism through which fibroblast-specific gene expression loss is initiated. Moreover, we found that the transcriptome of converting cells abruptly changes when a critical level of each reprogramming factor is attained, with higher or lower levels not contributing to major changes. By simultaneously inducing multiple competing reprogramming factors, we also found a deterministic system, in which titration of fates against each other yields dominant or colliding fates. By investigating one collision in detail, we show that reprogramming factors can disturb cell identity programs independent of their ability to bind their target genes. Taken together, Collide-seq has shed light on several fundamental principles of fate conversion that may aid in improving current reprogramming paradigms.

摘要

尽管直接重编程具有治疗潜力,但关于命运擦除的基本原理和解决细胞身份冲突的机制仍不清楚。为了解决这些基本问题,我们建立了一种单细胞方案,用于基于组合和可追踪的重编程因子表达同时分析多个细胞命运转换事件:Collide-seq。Collide-seq 表明,起始成纤维细胞特异性基因表达丧失的机制并不相同。此外,我们发现,当每个重编程因子达到临界水平时,转化细胞的转录组会突然发生变化,而较高或较低的水平不会导致重大变化。通过同时诱导多种竞争的重编程因子,我们还发现了一个确定性系统,其中命运之间的滴定作用会产生主导或冲突的命运。通过详细研究一次碰撞,我们表明重编程因子可以独立于其结合靶基因的能力来干扰细胞身份程序。总之,Collide-seq 揭示了命运转换的几个基本原则,这可能有助于改进当前的重编程范例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b73/9476893/2a9ce711cf43/MSB-18-e11129-g012.jpg

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