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药物研发中的RIP-CHIP技术。

RIP-CHIP in drug development.

作者信息

Jain Ritu, Doyle Francis, George Ajish D, Kuentzel Marcy, Frank David, Chittur Sridar V, Tenenbaum Scott A

机构信息

NanoBio Constellation, College of Nanoscale Science and Engineering, University at Albany-SUNY, Albany, NY, USA.

出版信息

Methods Mol Biol. 2010;632:159-71. doi: 10.1007/978-1-60761-663-4_10.

Abstract

Microarrays are extensively used to evaluate the effects of compounds on gene expression in the cells. Most of the studies so far have analyzed the transcriptome of the cell. The basic assumption of this approach is that the changes in gene expression occur at the level of transcription of a gene. However, changes often occur at the posttranscriptional level and are not reflected in the analysis of whole transcriptome. We have pioneered the development of "ribonomic profiling" as a high-throughput method to study posttranscriptional regulation of gene expression in the cell. This method is also often referred to as RIP-CHIP. In this chapter, we describe how to use the RIP-CHIP technology to assess the posttranscriptional changes occurring in the cell in response to treatment with a drug.

摘要

微阵列被广泛用于评估化合物对细胞基因表达的影响。迄今为止,大多数研究都分析了细胞的转录组。这种方法的基本假设是基因表达的变化发生在基因转录水平。然而,变化通常发生在转录后水平,并且在全转录组分析中没有体现出来。我们率先开发了“核糖核酸谱分析”作为一种高通量方法,用于研究细胞中基因表达的转录后调控。这种方法也常被称为RIP-CHIP。在本章中,我们将描述如何使用RIP-CHIP技术来评估细胞在药物处理后发生的转录后变化。

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