精确测量视黄酸处理细胞中的细胞数量归一化差异基因表达。

IF 1 Q3 BIOLOGY Bio-protocol Pub Date : 2024-11-05 DOI:10.21769/BioProtoc.5106
Nina Weichert-Leahey, Mark W Zimmerman, Alla Berezovskaya, A Thomas Look, Brian J Abraham
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引用次数: 0

摘要

全基因组基因表达分析是定量检测任何组织或细胞状态的转录特征的常用方法。标准的体细胞 RNA 测序(RNA-seq)通过对从细胞 RNA 合成的 cDNA 进行大规模平行测序,对相关组织类型细胞中的 RNA 进行量化。随后的全局 RNA 表达分析和两个或多个样本之间 RNA 表达水平的归一化通常假定所有样本的细胞每个细胞产生等量的 RNA。在 MYC 或 MYCN 表达水平明显不同的细胞中,这一假设可能无效,因此每个细胞的总体 mRNA 表达量会发生变化。视黄酸会导致 MYCN 表达急剧下降,并诱导细胞生长停滞和分化,在此,我们介绍了一种在视黄酸处理期间对 MYCN 扩增的神经母细胞瘤细胞进行 RNA-seq 分析的方法。我们的方法是在提取 RNA 之前,按照每个样本中细胞数量的比例添加 RNA 标准。在差异基因表达分析中,将每个基因的表达水平标准化为加标 RNA 标准,以准确评估 MYCN 高表达和低表达条件下每个细胞的基因表达水平。因此,我们的方案提供了一种按细胞数归一化 RNA-seq 表达数据的逐步实验方法,可准确评估表达 MYC 或 MYCN 水平明显不同的细胞中的差异基因表达。主要特点 - 癌细胞中 MYC 和 MYCN 的高水平表达会导致每个细胞的整体 mRNA 表达水平大幅上升。- 在比较 MYCN 表达水平有显著差异的细胞群时,使用按细胞添加的对照 RNA 进行 RNA-seq 分析能更准确地反映全局表达变化。- 在 MYCN 扩增的神经母细胞瘤中,维甲酸会显著降低 MYCN 的表达水平,从而导致每个细胞的总体 RNA 表达水平发生巨大变化。
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Accurate Measurement of Cell Number-Normalized Differential Gene Expression in Cells Treated With Retinoic Acid.

Genome-wide gene expression analysis is a commonly used method to quantitatively examine the transcriptional signature of any tissue or cell state. Standard bulk cell RNA sequencing (RNA-seq) quantifies RNAs in the cells of the tissue type of interest through massive parallel sequencing of cDNA synthesized from the cellular RNA. The subsequent analysis of global RNA expression and normalization of RNA expression levels between two or more samples generally assumes that cells from all samples produce equivalent amounts of RNA per cell. This assumption may be invalid in cells where MYC or MYCN expression levels are markedly different and thus, overall mRNA expression per cell is altered. Here, we describe an approach for RNA-seq analysis of MYCN-amplified neuroblastoma cells during treatment with retinoic acid, which causes dramatic downregulation of MYCN expression and induces growth arrest and differentiation of the cells. Our procedure employs spiked-in RNA standards added in ratio to the number of cells in each sample prior to RNA extraction. In the analysis of differential gene expression, the expression level of each gene is standardized to the spiked-in RNA standard to accurately assess gene expression levels per cell in conditions of high and low MYCN expression. Our protocol thus provides a step-by-step experimental approach for normalizing RNA-seq expression data on a per-cell-number basis, allowing accurate assessment of differential gene expression in cells expressing markedly different levels of MYC or MYCN. Key features • High levels of MYC and MYCN expression in cancer cells cause substantial increases in the levels of overall mRNA expression per cell. • RNA-seq using control RNAs spiked-in on a per-cell basis more accurately reflects global expression changes, when comparing cell populations with substantially different MYCN expression levels. • In MYCN-amplified neuroblastoma, retinoic acid dramatically decreases MYCN expression levels, resulting in large changes in overall RNA expression levels per cell.

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