Single cell RNA-seq identifies the origins of heterogeneity in efficient cell transdifferentiation and reprogramming

单细胞 RNA 测序识别高效细胞转分化和重编程中异质性的起源

阅读:7
作者:Mirko Francesconi #, Bruno Di Stefano #, Clara Berenguer, Luisa de Andrés-Aguayo, Marcos Plana-Carmona, Maria Mendez-Lago, Amy Guillaumet-Adkins, Gustavo Rodriguez-Esteban, Marta Gut, Ivo G Gut, Holger Heyn, Ben Lehner, Thomas Graf

Abstract

Forced transcription factor expression can transdifferentiate somatic cells into other specialised cell types or reprogram them into induced pluripotent stem cells (iPSCs) with variable efficiency. To better understand the heterogeneity of these processes, we used single-cell RNA sequencing to follow the transdifferentation of murine pre-B cells into macrophages as well as their reprogramming into iPSCs. Even in these highly efficient systems, there was substantial variation in the speed and path of fate conversion. We predicted and validated that these differences are inversely coupled and arise in the starting cell population, with Mychigh large pre-BII cells transdifferentiating slowly but reprogramming efficiently and Myclow small pre-BII cells transdifferentiating rapidly but failing to reprogram. Strikingly, differences in Myc activity predict the efficiency of reprogramming across a wide range of somatic cell types. These results illustrate how single cell expression and computational analyses can identify the origins of heterogeneity in cell fate conversion processes.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。