Stanley Brain Research Laboratory, Stanley Medical Research Institute, Medical Center Drive, Rockville, MD 20850, USA.
Neuropsychopharmacology. 2010 Jan;35(2):473-82. doi: 10.1038/npp.2009.151.
An integrative database, Stanley Neuropathology Consortium Integrative Database (SNCID) (http://sncid.stanleyresearch.org), has been developed to facilitate psychiatric research. The SNCID includes 1749 neuropathological markers measured in 12 different brain regions in 60 human subjects (15 each schizophrenia, bipolar disorder, depression, and unaffected controls). Genome-wide expression microarray datasets from three independent studies are also included. Statistical analysis tools such as variance analysis, correlation analysis, and functional annotation tools have been integrated into the database. In this report, we first replicate an earlier correlation analysis between genome-wide expression profiles and an abnormal cytoarchitectural marker using the SNCID. We then show the potential for identifying neuropathological markers that are abnormal in subjects with psychiatric disorders. We also identify biological pathways associated with several abnormal neuropathological markers, including those in the dopamine, glutamate, Reelin, and gamma-aminobutyric acid (GABA)ergic systems. Data exploration using the SNCID may provide insights into the biological pathways associated with the neurotransmitter abnormalities identified in subjects with major psychiatric disorders.
一个综合性数据库，斯坦利神经病理学联合会综合数据库（SNCID）（http://sncid.stanleyresearch.org），已经被开发出来以促进精神疾病的研究。SNCID 包括 60 个人类样本（15 个精神分裂症、15 个双相情感障碍、15 个抑郁症和 15 个未受影响的对照组）中 12 个不同脑区的 1749 个神经病理学标记物。数据库还包括三个独立研究的全基因组表达微阵列数据集。方差分析、相关分析和功能注释工具等统计分析工具已被整合到数据库中。在本报告中，我们首先使用 SNCID 复制了之前关于全基因组表达谱与异常细胞结构标记物之间相关性的分析。然后，我们展示了识别精神疾病患者中异常神经病理学标记物的潜力。我们还确定了与几个异常神经病理学标记物相关的生物学途径，包括多巴胺、谷氨酸、Reelin 和γ-氨基丁酸（GABA）能系统。使用 SNCID 进行的数据探索可能会深入了解与主要精神疾病患者中神经递质异常相关的生物学途径。
