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脑基因表达谱分析:思考事实与虚构。

Gene expression profiling of the brain: pondering facts and fiction.

机构信息

Department of Psychiatry, Vanderbilt University, Nashville, TN 37203, USA.

出版信息

Neurobiol Dis. 2012 Jan;45(1):3-7. doi: 10.1016/j.nbd.2011.06.001. Epub 2011 Jun 14.

Abstract

During the last decade brain transcriptome profiling by DNA microarrays has matured, developed sound experimental design standards, reporting practices, analytical procedures, and data sharing resources. It has become a powerful scientific tool in the exploratory research portfolio. Along this journey by trial and error, we encountered a number of intriguing questions and comments--pondering the value of hypothesis-driven research, appropriate sample size, the importance and interpretation of transcripts changes vis-à-vis protein changes, the role of statistical stringency, false discovery and magnitude of expression change, and many other interesting questions. Our field fully acknowledges and tries to address all of these challenges associated with high-throughput, data-driven transcriptomics. As a research field, we strongly advocate implementing the highest standards of our trade, and we deeply believe that transcriptome profiling studies will continue to be essential for deciphering the pathophysiological mechanisms leading to complex brain disorders.

摘要

在过去的十年中,通过 DNA 微阵列进行的大脑转录组分析已经成熟,制定了合理的实验设计标准、报告实践、分析程序和数据共享资源。它已成为探索性研究组合中的强大科学工具。在这个试错的过程中,我们遇到了一些有趣的问题和评论——思考假设驱动研究的价值、适当的样本量、转录本变化相对于蛋白质变化的重要性和解释、统计严格性的作用、假发现和表达变化的幅度,以及许多其他有趣的问题。我们的领域充分认识到并试图解决所有这些与高通量、数据驱动的转录组学相关的挑战。作为一个研究领域,我们强烈主张实施我们行业的最高标准,我们深信,转录组分析研究将继续是破解导致复杂脑疾病的病理生理机制的关键。

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Gene expression: The autism disconnect.基因表达:自闭症的脱节现象
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Breaking the gene barrier in schizophrenia.突破精神分裂症的基因障碍。
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