Cellular reprogramming: Mathematics meets medicine.

IF 7.9 Q1 Medicine
Gabrielle A Dotson, Charles W Ryan, Can Chen, Lindsey Muir, Indika Rajapakse
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引用次数: 0

Abstract

Generating needed cell types using cellular reprogramming is a promising strategy for restoring tissue function in injury or disease. A common method for reprogramming is addition of one or more transcription factors that confer a new function or identity. Advancements in transcription factor selection and delivery have culminated in successful grafting of autologous reprogrammed cells, an early demonstration of their clinical utility. Though cellular reprogramming has been successful in a number of settings, identification of appropriate transcription factors for a particular transformation has been challenging. Computational methods enable more sophisticated prediction of relevant transcription factors for reprogramming by leveraging gene expression data of initial and target cell types, and are built on mathematical frameworks ranging from information theory to control theory. This review highlights the utility and impact of these mathematical frameworks in the field of cellular reprogramming. This article is categorized under: Reproductive System Diseases > Reproductive System Diseases>Genetics/Genomics/Epigenetics Reproductive System Diseases > Reproductive System Diseases>Stem Cells and Development Reproductive System Diseases > Reproductive System Diseases>Computational Models.

细胞重编程:数学与医学的结合
利用细胞重编程技术生成所需的细胞类型,是恢复损伤或疾病组织功能的一种前景广阔的策略。一种常见的重编程方法是添加一种或多种转录因子,赋予细胞新的功能或特性。转录因子选择和递送技术的进步最终成功实现了自体重编程细胞的移植,这是其临床实用性的早期体现。虽然细胞重编程在许多情况下都取得了成功,但为特定转化识别合适的转录因子一直是个挑战。计算方法通过利用初始细胞和目标细胞类型的基因表达数据,能够更复杂地预测重编程的相关转录因子,并建立在从信息论到控制论的数学框架之上。本综述将重点介绍这些数学框架在细胞重编程领域的作用和影响。本文归类于生殖系统疾病 > 生殖系统疾病 > 遗传学/基因组学/表观遗传学 生殖系统疾病 > 生殖系统疾病 > 干细胞与发育 生殖系统疾病 > 生殖系统疾病 > 计算模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
18.40
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Journal Name:Wiley Interdisciplinary Reviews-Systems Biology and Medicine Focus: Strong interdisciplinary focus Serves as an encyclopedic reference for systems biology research Conceptual Framework: Systems biology asserts the study of organisms as hierarchical systems or networks Individual biological components interact in complex ways within these systems Article Coverage: Discusses biology, methods, and models Spans systems from a few molecules to whole species Topical Coverage: Developmental Biology Physiology Biological Mechanisms Models of Systems, Properties, and Processes Laboratory Methods and Technologies Translational, Genomic, and Systems Medicine
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