VCU Life Sciences, Virginia Commonwealth University, 601 W Main Street, P.O. Box 843068, Richmond, VA 23220, USA.
Chem Biodivers. 2012 May;9(5):911-29. doi: 10.1002/cbdv.201100390.
Stem-cell research seeks to address many different questions related to fundamental stem-cell function with the ultimate goal of being able to control and utilize stem cells for a broad range of therapeutic needs. While a large amount of work is focused on discovering and controlling differentiation mechanisms in stem cells, an equally interesting and important area of work is to understand the basics of stem-cell propagation and self-renewal. With high-throughput genomics and transcriptomic information on hand, it is becoming possible to address some of the detailed mechanistic processes occurring in stem cells, though interpretation of these data is often difficult. In this work, stem cells with genetic abnormalities were compared to genetically normal stem cells using gene-expression array data integrated with a large-scale metabolic model to help interpret changes in metabolism resulting in the identification of several metabolic pathways that were different in the normal and abnormal cells.
干细胞研究旨在解决与干细胞基本功能相关的许多不同问题，最终目标是能够控制和利用干细胞来满足广泛的治疗需求。虽然大量工作集中在发现和控制干细胞的分化机制上，但同样有趣和重要的工作领域是了解干细胞增殖和自我更新的基础知识。随着高通量基因组学和转录组学信息的出现，现在有可能解决干细胞中发生的一些详细的机制过程，尽管这些数据的解释往往很困难。在这项工作中，使用基因表达阵列数据将具有遗传异常的干细胞与遗传正常的干细胞进行比较，并与大规模代谢模型相结合，以帮助解释导致代谢变化的机制，从而确定正常和异常细胞中不同的几种代谢途径。
