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锂处理后 BCL2 表达的观察到的改变受归一化方法选择的影响。

The observed alteration in BCL2 expression following lithium treatment is influenced by the choice of normalization method.

机构信息

Department of Clinical Biochemistry and Pharmacology, Ben-Gurion University of the Negev, Beer-Sheva, Israel.

Psychiatry Research Unit, Faculty of Health Sciences, Mental Health Center, Beer-Sheva, Israel.

出版信息

Sci Rep. 2018 Apr 23;8(1):6399. doi: 10.1038/s41598-018-24546-1.

Abstract

Upregulation of B-cell CLL/lymphoma (BCL)2 expression following lithium treatment is seemingly well established and has been related to the neuroprotective property of the drug. However, while demonstrated by some (but not all) studies based on low-throughput techniques (e.g. qPCR) this effect is not reflected in high-throughput studies, such as microarrays and RNAseq. This manuscript presents a systematic review of currently available reports of lithium's effect on BCL2 expression. To our surprise, we found that the majority of the literature does not support the effect of lithium on BCL2 transcript or protein levels. Moreover, among the positive reports, several used therapeutically irrelevant lithium doses while others lack statistical power. We also noticed that numerous low-throughput studies normalized the signal using genes/proteins affected by lithium, imposing possible bias. Using wet bench experiments and reanalysis of publicly available microarray data, here we show that the reference gene chosen for normalization critically impacts the outcome of qPCR analyses of lithium's effect on BCL2 expression. Our findings suggest that experimental results might be severely affected by the choice of normalizing genes, and emphasize the need to re-evaluate stability of these genes in the context of the specific experimental conditions.

摘要

锂处理后 B 细胞慢性淋巴细胞白血病/淋巴瘤(BCL)2 表达的上调似乎已经得到很好的确立,并且与药物的神经保护特性有关。然而,虽然一些(但不是全部)基于低通量技术(例如 qPCR)的研究证明了这种作用,但高通量研究(如微阵列和 RNAseq)并未反映出来。本文对目前关于锂对 BCL2 表达影响的可用报告进行了系统回顾。令我们惊讶的是,我们发现大多数文献并不支持锂对 BCL2 转录本或蛋白水平的影响。此外,在阳性报告中,一些使用了治疗上不相关的锂剂量,而另一些则缺乏统计学效力。我们还注意到,许多低通量研究使用受锂影响的基因/蛋白质对信号进行归一化,从而可能产生偏差。通过湿实验和对公开的微阵列数据的重新分析,我们在这里表明,用于归一化的参考基因的选择会严重影响 qPCR 分析锂对 BCL2 表达影响的结果。我们的研究结果表明,实验结果可能会受到归一化基因选择的严重影响,并强调需要根据特定的实验条件重新评估这些基因的稳定性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5053/5913222/b0cd5c78d703/41598_2018_24546_Fig1_HTML.jpg

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