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利用数字彩色编码分子条形码鉴定神经分化和神经疾病中的分子特征。

Identification of Molecular Signatures in Neural Differentiation and Neurological Diseases Using Digital Color-Coded Molecular Barcoding.

作者信息

Salerno Debora, Rosa Alessandro

机构信息

Center for Life Nano Science, Istituto Italiano di Tecnologia, Rome 00161, Italy.

Department of Biology and Biotechnology Charles Darwin, Sapienza University of Rome, Rome 00185, Italy.

出版信息

Stem Cells Int. 2020 Sep 12;2020:8852313. doi: 10.1155/2020/8852313. eCollection 2020.

Abstract

Human pluripotent stem cells (PSCs), including embryonic stem cells and induced pluripotent stem cells, represent powerful tools for disease modeling and for therapeutic applications. PSCs are particularly useful for the study of development and diseases of the nervous system. However, generating models that recapitulate the architecture and the full variety of subtypes of cells that make the complexity of our brain remains a challenge. In order to fully exploit the potential of PSCs, advanced methods that facilitate the identification of molecular signatures in neural differentiation and neurological diseases are highly demanded. Here, we review the literature on the development and application of digital color-coded molecular barcoding as a potential tool for standardizing PSC research and applications in neuroscience. We will also describe relevant examples of the use of this technique for the characterization of the heterogeneous composition of the brain tumor glioblastoma multiforme.

摘要

人类多能干细胞(PSC),包括胚胎干细胞和诱导多能干细胞,是疾病建模和治疗应用的强大工具。PSC对于神经系统发育和疾病的研究特别有用。然而,生成能够重现构成我们大脑复杂性的细胞结构和各种亚型的模型仍然是一项挑战。为了充分发挥PSC的潜力,迫切需要先进的方法来促进神经分化和神经疾病中分子特征的识别。在这里,我们综述了关于数字彩色编码分子条形码的开发和应用的文献,它作为一种潜在工具可用于规范PSC在神经科学中的研究和应用。我们还将描述使用该技术表征多形性胶质母细胞瘤脑肿瘤异质成分的相关实例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb43/7503121/a855b95a8b49/SCI2020-8852313.001.jpg

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