Suppr超能文献

基于转录因子的神经再生命运指定与正向编程

Transcription Factor-Based Fate Specification and Forward Programming for Neural Regeneration.

作者信息

Flitsch Lea J, Laupman Karen E, Brüstle Oliver

机构信息

Institute of Reconstructive Neurobiology, Life & Brain Center, University of Bonn Medical Faculty and University Hospital Bonn, Bonn, Germany.

出版信息

Front Cell Neurosci. 2020 May 20;14:121. doi: 10.3389/fncel.2020.00121. eCollection 2020.

Abstract

Traditionally, generation of donor cells for brain repair has been dominated by the application of extrinsic growth factors and morphogens. Recent advances in cell engineering strategies such as reprogramming of somatic cells into induced pluripotent stem cells and direct cell fate conversion have impressively demonstrated the feasibility to manipulate cell identities by the overexpression of cell fate-determining transcription factors. These strategies are now increasingly implemented for transcription factor-guided differentiation of neural precursors and forward programming of pluripotent stem cells toward specific neural subtypes. This review covers major achievements, pros and cons, as well as future prospects of transcription factor-based cell fate specification and the applicability of these approaches for the generation of donor cells for brain repair.

摘要

传统上,用于脑修复的供体细胞的产生一直由外源性生长因子和形态发生素的应用主导。细胞工程策略的最新进展,如将体细胞重编程为诱导多能干细胞以及直接细胞命运转换,令人印象深刻地证明了通过过表达细胞命运决定转录因子来操纵细胞身份的可行性。这些策略现在越来越多地用于转录因子引导的神经前体分化以及多能干细胞向特定神经亚型的正向编程。本综述涵盖了基于转录因子的细胞命运指定的主要成就、优缺点以及未来前景,以及这些方法在生成用于脑修复的供体细胞方面的适用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b6f/7251072/0007424cca42/fncel-14-00121-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验