Streamlining gene expression analysis: integration of co-culture and mRNA purification.

IF 1.4
Scott M Berry, Chandresh Singh, Jessica D Lang, Lindsay N Strotman, Elaine T Alarid, David J Beebe
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引用次数: 14

Abstract

Co-culture of multiple cell types within a single device enables the study of paracrine signaling events. However, extracting gene expression endpoints from co-culture experiments is laborious, due in part to pre-PCR processing of the sample (i.e., post-culture cell sorting and nucleic acid purification). Also, a significant loss of nucleic acid may occur during these steps, especially with microfluidic cell culture where lysate volumes are small and difficult to access. Here, we describe an integrated platform for performing microfluidic cell culture and extraction of mRNA for gene expression analysis. This platform was able to recover 30-fold more mRNA than a similar, non-integrated system. Additionally, using a breast cancer/bone marrow stroma co-culture, we recapitulated stromal-dependent, estrogen-independent growth of the breast cancer cells, coincident with transcriptional changes. We anticipate that this platform will be used for streamlined analysis of paracrine signaling events as well as for screening potential drugs and/or patient samples.

Abstract Image

Abstract Image

简化基因表达分析:共培养和mRNA纯化的整合。
在一个装置内共同培养多种细胞类型,可以研究旁分泌信号事件。然而,从共培养实验中提取基因表达终点是费力的,部分原因是样品的pcr前处理(即培养后细胞分选和核酸纯化)。此外,在这些步骤中可能会发生核酸的重大损失,特别是在微流体细胞培养中,裂解物体积小且难以获得。在这里,我们描述了一个集成的平台进行微流体细胞培养和提取mRNA基因表达分析。该平台能够比类似的非集成系统多恢复30倍的mRNA。此外,使用乳腺癌/骨髓基质共培养,我们重现了乳腺癌细胞依赖基质、不依赖雌激素的生长,与转录变化一致。我们预计该平台将用于旁分泌信号事件的简化分析,以及筛选潜在药物和/或患者样本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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