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用于干细胞群体分析的RNA扩增与转录谱分析

RNA amplification and transcriptional profiling for analysis of stem cell populations.

作者信息

Gallardo Teresa D, Hammer Robert E, Garry Daniel J

机构信息

Departments of Internal Medicine and Molecular Biology, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390-8573, USA.

出版信息

Genesis. 2003 Oct;37(2):57-63. doi: 10.1002/gene.10223.

Abstract

As stem cells constitute a rare cell pool, a global analysis of gene expression is typically not possible. Here, we use a T7-based RNA amplification method combined with high-density oligonucleotide array technology to analyze gene expression. We isolated RNA from ES cells (100-100,000 cells), subjected them to two rounds of amplification, and compared each sample using microarray analysis. RNA isolation and amplification was highly reproducible and sensitive for the analysis of low abundant transcripts. Greater than 93% of the transcripts expressed were changed less than 2-fold when comparing the results of amplified RNA (100 cells to 100,000 cells) to unamplified RNA (isolated from 1,000,000 cells). This transcriptional analysis resulted in minimal skewing of gene expression. Using this technology, we analyzed the genetic programs of ES cells, STO feeder cells, and adult cardiomyocytes. We conclude that these technologies can be applied to the analysis of the genetic programs of rare cell populations and ultimately this analysis will enhance our understanding of the regulatory mechanisms of stem cell populations.

摘要

由于干细胞构成一个稀有细胞库,通常不可能对基因表达进行全面分析。在此,我们使用基于T7的RNA扩增方法结合高密度寡核苷酸阵列技术来分析基因表达。我们从胚胎干细胞(100 - 100,000个细胞)中分离RNA,对其进行两轮扩增,并使用微阵列分析比较每个样本。RNA分离和扩增对于低丰度转录本的分析具有高度可重复性和敏感性。当将扩增RNA(100个细胞至100,000个细胞)的结果与未扩增RNA(从1,000,000个细胞中分离)进行比较时,超过93%的表达转录本变化小于2倍。这种转录分析导致基因表达的偏差最小。使用这项技术,我们分析了胚胎干细胞、STO饲养层细胞和成体心肌细胞的基因程序。我们得出结论,这些技术可应用于稀有细胞群体基因程序的分析,最终这种分析将增进我们对干细胞群体调控机制的理解。

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