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通过诱导多能干细胞和系统遗传学来破解人类疾病和紊乱的复杂性。

Deciphering the complexities of human diseases and disorders by coupling induced-pluripotent stem cells and systems genetics.

机构信息

Department of Regenerative Medicine, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.

出版信息

Wiley Interdiscip Rev Syst Biol Med. 2012 Jul-Aug;4(4):339-50. doi: 10.1002/wsbm.1170. Epub 2012 Apr 10.

Abstract

The recent discovery that adult mouse and human somatic cells can be 'reprogrammed' to a state of pluripotency by ectopic expression of only a few transcription factors has already made a major impact on the biomedical community. For the first time, it is possible to study diseases on an individual patient basis, which may eventually lead to the realization of personalized medicine. The utility of induced-pluripotent stem cells (iPSCs) for modeling human diseases has greatly benefitted from established human embryonic stem cell (ESC) differentiation and tissue engineering protocols developed to generate many different cell and tissue types. The limited access to preimplantation genetic tested embryos and the difficulty in gene targeting human ESCs have restricted the use of human ESCs in modeling human disease. Afforded by iPSC technology is the ability to study disease pathogenesis as it unfolds during tissue morphogenesis. The complexities of molecular signaling and interplay with protein transduction during disease progression necessitate a systems approach to studying human diseases, whereby data can be statistically integrated by sorting out the signal to noise issues that arise from global biological changes associated with disease versus experimental noise. Using a systems approach, biomarkers can be identified that define the initiation or progression of disease and likewise can serve as putative therapeutic targets.

摘要

最近的发现表明,通过异位表达少数几个转录因子,成年老鼠和人类的体细胞可以被“重编程”为多能状态,这已经对生物医学领域产生了重大影响。首次有可能根据个体患者的情况研究疾病,这最终可能导致实现个性化医疗。诱导多能干细胞(iPSC)在人类疾病建模中的应用得益于已建立的人类胚胎干细胞(ESC)分化和组织工程方案,这些方案可用于生成许多不同的细胞和组织类型。由于无法获得植入前遗传测试胚胎,并且难以对人类 ESC 进行基因靶向,因此限制了人类 ESC 在人类疾病建模中的使用。iPSC 技术的出现使人们能够在组织形态发生过程中研究疾病的发病机制。在疾病进展过程中,分子信号的复杂性以及与蛋白质转导的相互作用需要一种系统的方法来研究人类疾病,通过对与疾病相关的全局生物学变化与实验噪声之间出现的信号与噪声问题进行分类,可以对数据进行统计学整合。通过使用系统方法,可以鉴定出定义疾病起始或进展的生物标志物,同样可以将其作为潜在的治疗靶点。

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