• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

正常人类尸检脑组织表达谱数据的实验室间比较。

A cross-laboratory comparison of expression profiling data from normal human postmortem brain.

机构信息

Canadian Institute of Health Research/Michael Smith Foundation for Health Research (CIHR/MSFHR) Graduate Program in Bioinformatics, University of British Columbia, BC, Canada.

出版信息

Neuroscience. 2010 May 5;167(2):384-95. doi: 10.1016/j.neuroscience.2010.01.016. Epub 2010 Feb 4.

DOI:10.1016/j.neuroscience.2010.01.016
PMID:20138973
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2849877/
Abstract

Expression profiling of post-mortem human brain tissue has been widely used to study molecular changes associated with neuropsychiatric diseases as well as normal processes such as aging. Changes in expression associated with factors such as age, gender or postmortem interval are often more pronounced than changes associated with disease. Therefore in addition to being of interest in their own right, careful consideration of these effects are important in the interpretation of disease studies. We performed a large meta-analysis of genome-wide expression studies of normal human cortex to more fully catalogue the effects of age, gender, postmortem interval and brain pH, yielding a "meta-signature" of gene expression changes for each factor. We validated our results by showing a significant overlap with independent gene lists extracted from the literature. Importantly, meta-analysis identifies genes which are not significant in any individual study. Finally, we show that many schizophrenia candidate genes appear in the meta-signatures, reinforcing the idea that studies must be carefully controlled for interactions between these factors and disease. In addition to the inherent value of the meta-signatures, our results provide critical information for future studies of disease effects in the human brain.

摘要

对人死后脑组织的表达谱进行分析已广泛用于研究与神经精神疾病相关的分子变化,以及衰老等正常过程。与年龄、性别或死后间隔等因素相关的表达变化通常比与疾病相关的变化更为明显。因此,除了本身就很有意义之外,在解释疾病研究时,仔细考虑这些影响也很重要。我们对正常人类大脑皮层的全基因组表达研究进行了大规模的荟萃分析,以更全面地描述年龄、性别、死后间隔和大脑 pH 值的影响,为每个因素生成一个基因表达变化的“荟萃签名”。我们通过显示与从文献中提取的独立基因列表有显著重叠来验证我们的结果。重要的是,荟萃分析确定了在任何单个研究中都不显著的基因。最后,我们发现许多精神分裂症候选基因出现在荟萃签名中,这强化了这样一种观点,即研究必须仔细控制这些因素与疾病之间的相互作用。除了荟萃签名的内在价值外,我们的研究结果还为未来人类大脑疾病效应的研究提供了关键信息。

相似文献

1
A cross-laboratory comparison of expression profiling data from normal human postmortem brain.正常人类尸检脑组织表达谱数据的实验室间比较。
Neuroscience. 2010 May 5;167(2):384-95. doi: 10.1016/j.neuroscience.2010.01.016. Epub 2010 Feb 4.
2
Brain pH has a significant impact on human postmortem hippocampal gene expression profiles.脑pH值对人类死后海马体基因表达谱有显著影响。
Brain Res. 2006 Aug 23;1106(1):1-11. doi: 10.1016/j.brainres.2006.05.043. Epub 2006 Jul 14.
3
Quantifying mRNA in postmortem human brain: influence of gender, age at death, postmortem interval, brain pH, agonal state and inter-lobe mRNA variance.定量分析死后人类大脑中的mRNA:性别、死亡年龄、死后间隔时间、脑pH值、濒死状态及脑叶间mRNA差异的影响
Brain Res Mol Brain Res. 2003 Oct 21;118(1-2):60-71. doi: 10.1016/s0169-328x(03)00337-1.
4
Methodological considerations for gene expression profiling of human brain.人类大脑基因表达谱分析的方法学考量
J Neurosci Methods. 2007 Jul 30;163(2):295-309. doi: 10.1016/j.jneumeth.2007.03.022. Epub 2007 Apr 8.
5
A conserved BDNF, glutamate- and GABA-enriched gene module related to human depression identified by coexpression meta-analysis and DNA variant genome-wide association studies.通过共表达荟萃分析和DNA变异全基因组关联研究鉴定出一个与人类抑郁症相关的保守的脑源性神经营养因子、富含谷氨酸和γ-氨基丁酸的基因模块。
PLoS One. 2014 Mar 7;9(3):e90980. doi: 10.1371/journal.pone.0090980. eCollection 2014.
6
Selection of reference gene expression in a schizophrenia brain cohort.精神分裂症脑队列中参考基因表达的选择。
Aust N Z J Psychiatry. 2010 Jan;44(1):59-70. doi: 10.3109/00048670903393662.
7
Postmortem brain tissue as an underutilized resource to study the molecular pathology of neuropsychiatric disorders across different ethnic populations.死后脑组织作为一种未充分利用的资源,可用于研究不同种族人群神经精神疾病的分子病理学。
Neurosci Biobehav Rev. 2019 Jul;102:195-207. doi: 10.1016/j.neubiorev.2019.04.015. Epub 2019 Apr 24.
8
Gene expression profiling in the post-mortem human brain--no cause for dismay.人类死后大脑中的基因表达谱分析——无需沮丧。
J Chem Neuroanat. 2001 Jul;22(1-2):79-94. doi: 10.1016/s0891-0618(01)00099-0.
9
Critical factors in gene expression in postmortem human brain: Focus on studies in schizophrenia.人类死后大脑基因表达的关键因素:聚焦于精神分裂症的研究。
Biol Psychiatry. 2006 Sep 15;60(6):650-8. doi: 10.1016/j.biopsych.2006.06.019.
10
Validation of adequate endogenous reference genes for the normalisation of qPCR gene expression data in human post mortem tissue.验证人死后组织 qPCR 基因表达数据正常化的内参基因。
Int J Legal Med. 2010 Sep;124(5):371-80. doi: 10.1007/s00414-010-0433-9. Epub 2010 Mar 19.

引用本文的文献

1
Gene Expression Signatures of Immaturity, Decreased pH, and Neural Hyperexcitation in the Hippocampus of Alzheimer's Disease Model Mice.阿尔茨海默病模型小鼠海马中不成熟、pH值降低和神经兴奋性增高的基因表达特征
Neuropsychopharmacol Rep. 2025 Mar;45(1):e70001. doi: 10.1002/npr2.70001.
2
Postmortem evidence of decreased brain pH in major depressive disorder: a systematic review and meta-analysis.抑郁症死后大脑 pH 值降低的证据:系统评价和荟萃分析。
Transl Psychiatry. 2024 Nov 4;14(1):460. doi: 10.1038/s41398-024-03173-7.
3
Large-scale animal model study uncovers altered brain pH and lactate levels as a transdiagnostic endophenotype of neuropsychiatric disorders involving cognitive impairment.

本文引用的文献

1
Microarray platform consistency is revealed by biologically functional analysis of gene expression profiles.通过对基因表达谱进行生物学功能分析,揭示了微阵列平台的一致性。
BMC Bioinformatics. 2009 Oct 8;10 Suppl 11(Suppl 11):S12. doi: 10.1186/1471-2105-10-S11-S12.
2
Reciprocal phylogenetic conservation of molecular aging in mouse and human brain.分子衰老在小鼠和人大脑中的互惠系统发育保守性。
Neurobiol Aging. 2011 Jul;32(7):1331-5. doi: 10.1016/j.neurobiolaging.2009.08.004. Epub 2009 Sep 2.
3
Meta-analysis of age-related gene expression profiles identifies common signatures of aging.
大规模动物模型研究揭示了改变的脑 pH 值和乳酸水平作为涉及认知障碍的神经精神障碍的跨诊断内表型。
Elife. 2024 Mar 26;12:RP89376. doi: 10.7554/eLife.89376.
4
The gene expression patterns as surrogate indices of pH in the brain.作为大脑中pH值替代指标的基因表达模式。
Front Psychiatry. 2023 May 2;14:1151480. doi: 10.3389/fpsyt.2023.1151480. eCollection 2023.
5
Bioinformatics analysis of long non-coding RNA-associated competing endogenous RNA network in schizophrenia.精神分裂症长非编码 RNA 相关竞争性内源性 RNA 网络的生物信息学分析。
Sci Rep. 2021 Dec 24;11(1):24413. doi: 10.1038/s41598-021-03993-3.
6
A pH-eQTL Interaction at the - Parkinson's Disease Risk Locus in the Substantia Nigra.黑质中帕金森病风险位点处的pH-eQTL相互作用。
Front Aging Neurosci. 2021 Jul 9;13:690632. doi: 10.3389/fnagi.2021.690632. eCollection 2021.
7
Central and Peripheral Changes in FOS Expression in Schizophrenia Based on Genome-Wide Gene Expression.基于全基因组基因表达的精神分裂症中FOS表达的中枢和外周变化
Front Genet. 2019 Mar 22;10:232. doi: 10.3389/fgene.2019.00232. eCollection 2019.
8
Transcriptomic Characterization of the Human Habenula Highlights Drug Metabolism and the Neuroimmune System.人类缰核的转录组特征突显药物代谢与神经免疫系统
Front Neurosci. 2018 Oct 31;12:742. doi: 10.3389/fnins.2018.00742. eCollection 2018.
9
Transcriptomic characterization of MRI contrast with focus on the T1-w/T2-w ratio in the cerebral cortex.脑皮层 MRI 对比的转录组学特征研究,重点关注 T1-w/T2-w 比值。
Neuroimage. 2018 Jul 1;174:504-517. doi: 10.1016/j.neuroimage.2018.03.027. Epub 2018 Mar 20.
10
Age-Related Gene Expression in the Frontal Cortex Suggests Synaptic Function Changes in Specific Inhibitory Neuron Subtypes.额叶皮质中与年龄相关的基因表达提示特定抑制性神经元亚型的突触功能发生变化。
Front Aging Neurosci. 2017 May 29;9:162. doi: 10.3389/fnagi.2017.00162. eCollection 2017.
与年龄相关基因表达谱的荟萃分析确定了衰老的共同特征。
Bioinformatics. 2009 Apr 1;25(7):875-81. doi: 10.1093/bioinformatics/btp073. Epub 2009 Feb 2.
4
Putative psychosis genes in the prefrontal cortex: combined analysis of gene expression microarrays.前额叶皮质中假定的精神病基因:基因表达微阵列的联合分析
BMC Psychiatry. 2008 Nov 7;8:87. doi: 10.1186/1471-244X-8-87.
5
Gene expression changes in the course of normal brain aging are sexually dimorphic.在正常大脑衰老过程中的基因表达变化存在性别差异。
Proc Natl Acad Sci U S A. 2008 Oct 7;105(40):15605-10. doi: 10.1073/pnas.0806883105. Epub 2008 Oct 1.
6
Evolution of the aging brain transcriptome and synaptic regulation.衰老大脑转录组的演变与突触调节。
PLoS One. 2008 Oct 2;3(10):e3329. doi: 10.1371/journal.pone.0003329.
7
Transcriptome-wide assessment of human brain and lymphocyte senescence.全转录组范围内对人类大脑和淋巴细胞衰老的评估。
PLoS One. 2008 Aug 20;3(8):e3024. doi: 10.1371/journal.pone.0003024.
8
MAID : an effect size based model for microarray data integration across laboratories and platforms.MAID:一种基于效应量的模型,用于跨实验室和平台整合微阵列数据。
BMC Bioinformatics. 2008 Jul 10;9:305. doi: 10.1186/1471-2105-9-305.
9
An evolutionarily conserved sexual signature in the primate brain.灵长类大脑中一种进化上保守的性别特征。
PLoS Genet. 2008 Jun 20;4(6):e1000100. doi: 10.1371/journal.pgen.1000100.
10
Age-related changes in the expression of schizophrenia susceptibility genes in the human prefrontal cortex.人类前额叶皮质中精神分裂症易感基因表达的年龄相关变化。
Brain Struct Funct. 2008 Sep;213(1-2):255-71. doi: 10.1007/s00429-008-0181-5. Epub 2008 May 10.