Suppr超能文献

细胞命运决定作为高维临界状态转变

Cell Fate Decision as High-Dimensional Critical State Transition.

作者信息

Mojtahedi Mitra, Skupin Alexander, Zhou Joseph, Castaño Ivan G, Leong-Quong Rebecca Y Y, Chang Hannah, Trachana Kalliopi, Giuliani Alessandro, Huang Sui

机构信息

Department of Biological Sciences, University of Calgary, Calgary, Alberta, Canada.

Institute for Systems Biology, Seattle, Washington, United States of America.

出版信息

PLoS Biol. 2016 Dec 27;14(12):e2000640. doi: 10.1371/journal.pbio.2000640. eCollection 2016 Dec.

Abstract

Cell fate choice and commitment of multipotent progenitor cells to a differentiated lineage requires broad changes of their gene expression profile. But how progenitor cells overcome the stability of their gene expression configuration (attractor) to exit the attractor in one direction remains elusive. Here we show that commitment of blood progenitor cells to the erythroid or myeloid lineage is preceded by the destabilization of their high-dimensional attractor state, such that differentiating cells undergo a critical state transition. Single-cell resolution analysis of gene expression in populations of differentiating cells affords a new quantitative index for predicting critical transitions in a high-dimensional state space based on decrease of correlation between cells and concomitant increase of correlation between genes as cells approach a tipping point. The detection of "rebellious cells" that enter the fate opposite to the one intended corroborates the model of preceding destabilization of a progenitor attractor. Thus, early warning signals associated with critical transitions can be detected in statistical ensembles of high-dimensional systems, offering a formal theory-based approach for analyzing single-cell molecular profiles that goes beyond current computational pattern recognition, does not require knowledge of specific pathways, and could be used to predict impending major shifts in development and disease.

摘要

多能祖细胞的细胞命运选择以及向分化谱系的定向分化需要其基因表达谱发生广泛变化。但是,祖细胞如何克服其基因表达构型(吸引子)的稳定性,从而朝着一个方向退出吸引子,这一点仍然不清楚。在这里,我们表明血液祖细胞向红细胞或髓细胞谱系的定向分化之前,其高维吸引子状态会发生不稳定,从而使分化细胞经历临界状态转变。对分化细胞群体中的基因表达进行单细胞分辨率分析,基于细胞间相关性的降低以及细胞接近临界点时基因间相关性的增加,为预测高维状态空间中的临界转变提供了一个新的定量指标。检测到进入与预期相反命运的“叛逆细胞”,证实了祖细胞吸引子先前不稳定的模型。因此,在高维系统的统计集合中可以检测到与临界转变相关的早期预警信号,这为分析单细胞分子谱提供了一种基于形式理论的方法,该方法超越了当前的计算模式识别,不需要特定途径的知识,并且可用于预测发育和疾病中即将发生的重大转变。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcda/5189937/1e0a508f98d2/pbio.2000640.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