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细胞重编程的方法及机制:以芽殖酵母酿酒酵母为例的研究

Recipes and mechanisms of cellular reprogramming: a case study on budding yeast Saccharomyces cerevisiae.

作者信息

Ding Shengchao, Wang Wei

机构信息

Department of Chemistry and Biochemistry, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0359, USA.

出版信息

BMC Syst Biol. 2011 Apr 12;5:50. doi: 10.1186/1752-0509-5-50.

Abstract

BACKGROUND

Generation of induced pluripotent stem cells (iPSCs) and converting one cell type to another (transdifferentiation) by manipulating the expression of a small number of genes highlight the progress of cellular reprogramming, which holds great promise for regenerative medicine. A key challenge is to find the recipes of perturbing genes to achieve successful reprogramming such that the reprogrammed cells function in the same way as the natural cells.

RESULTS

We present here a systems biology approach that allows systematic search for effective reprogramming recipes and monitoring the reprogramming progress to uncover the underlying mechanisms. Using budding yeast as a model system, we have curated a genetic network regulating cell cycle and sporulation. Phenotypic consequences of perturbations can be predicted from the network without any prior knowledge, which makes it possible to computationally reprogram cell fate. As the heterogeneity of natural cells is important in many biological processes, we find that the extent of this heterogeneity restored by the reprogrammed cells varies significantly upon reprogramming recipes. The heterogeneity difference between the reprogrammed and natural cells may have functional consequences.

CONCLUSIONS

Our study reveals that cellular reprogramming can be achieved by many different perturbations and the reprogrammability of a cell depends on the heterogeneity of the original cell state. We provide a general framework that can help discover new recipes for cellular reprogramming in human.

摘要

背景

诱导多能干细胞(iPSCs)的产生以及通过操纵少数基因的表达将一种细胞类型转化为另一种细胞类型(转分化)凸显了细胞重编程的进展,这为再生医学带来了巨大希望。一个关键挑战是找到扰动基因的方法以实现成功的重编程,使重编程后的细胞与天然细胞具有相同的功能。

结果

我们在此提出一种系统生物学方法,该方法允许系统地搜索有效的重编程方法并监测重编程过程以揭示潜在机制。以芽殖酵母作为模型系统,我们构建了一个调控细胞周期和孢子形成的遗传网络。无需任何先验知识即可从该网络预测扰动的表型后果,这使得通过计算重编程细胞命运成为可能。由于天然细胞的异质性在许多生物学过程中很重要,我们发现重编程细胞恢复这种异质性的程度在不同的重编程方法下有显著差异。重编程细胞与天然细胞之间的异质性差异可能具有功能上的影响。

结论

我们的研究表明,细胞重编程可以通过许多不同的扰动实现,并且细胞的重编程能力取决于原始细胞状态的异质性。我们提供了一个通用框架,可帮助发现人类细胞重编程的新方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d16/3094211/164f3f0f2f95/1752-0509-5-50-1.jpg

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