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单细胞的全基因组表达分析。

Global gene expression analysis of single cells.

作者信息

Kamme Fredrik, Erlander Mark G

机构信息

Johnson & Johnson Pharmaceutical R&D LLC, San Diego, CA 92121, USA.

出版信息

Curr Opin Drug Discov Devel. 2003 Mar;6(2):231-6.

Abstract

Gene expression profiling is increasingly being used to study complex disease processes, with a focus toward generating new hypotheses and identifying novel therapeutic approaches. This method requires not only the ability to assign expression data to the correct cell type, but also the aptitude to interpret the subsequent deluge of gene expression patterns. Single-cell gene expression analysis is currently used to generate data within the fundamental unit, the single cell, thereby freeing the analysis from assumptions or questions regarding cell population homogeneity, whether cell-type or temporal. Single-cell expression profiling also offers a highly parallel view of the workings of a gene regulatory network at one specific point in time, and will hopefully provide insights that could lead to an improved ability to interpret gene expression patterns.

摘要

基因表达谱分析越来越多地用于研究复杂疾病过程,重点是提出新假设并确定新的治疗方法。这种方法不仅需要将表达数据分配到正确细胞类型的能力,还需要解释随后大量基因表达模式的能力。目前,单细胞基因表达分析用于在基本单元即单细胞内生成数据,从而使分析摆脱有关细胞群体同质性的假设或问题,无论这种同质性是细胞类型方面还是时间方面的。单细胞表达谱分析还能在一个特定时间点高度并行地观察基因调控网络的运作情况,并有望提供有助于提高解释基因表达模式能力的见解。

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