• 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

一项关于人类活体大脑中基因表达的研究。

A study of gene expression in the living human brain.

作者信息

Liharska Lora E, Park You Jeong, Ziafat Kimia, Wilkins Lillian, Silk Hannah, Linares Lisa M, Thompson Ryan C, Vornholt Eric, Sullivan Brendan, Cohen Vanessa, Kota Prashant, Feng Claudia, Cheng Esther, Johnson Jessica S, Rieder Marysia-Kolbe, Huang Jia, Scarpa Joseph, Polanco Jairo, Moya Emily, Hashemi Alice, Levin Matthew A, Nadkarni Girish N, Sebra Robert, Crary John F, Schadt Eric E, Beckmann Noam D, Kopell Brian H, Charney Alexander W

机构信息

Icahn School of Medicine at Mount Sinai, New York, NY, USA.

出版信息

Mol Psychiatry. 2025 Aug 23. doi: 10.1038/s41380-025-03163-1.

DOI:10.1038/s41380-025-03163-1
PMID:40849545
Abstract

A goal of psychiatric research is to determine the molecular basis of human brain health and illness. One way to achieve this goal is through studies of gene expression in human brain tissue. Due to the unavailability of brain tissue from living people, most such studies are performed using tissue from postmortem brain donors. An assumption underlying this practice is that gene expression in the postmortem human brain is an accurate representation of gene expression in the living human brain. This assumption - which, until now, had not been adequately tested - was tested by comparing human prefrontal cortex gene expression between 275 living samples and 243 postmortem samples. Expression levels differed significantly for nearly 80% of genes, and a systematic examination of alternative explanations for this observation determined that these differences are not explained by cell type composition, RNA quality, postmortem interval, age, medication, morbidity, symptom severity, tissue pathology, sample handling, batch effects, or computational methods utilized. Using gene expression data from two independent cohorts, the differences identified between living and postmortem samples were replicated and shown to be present in all brain cell types. Analyses integrating the data generated for this study with data from earlier studies that used tissue from postmortem brain donors showed that postmortem brain gene expression signatures of psychiatric and neurological illnesses, as well as of normal traits such as aging, may not always be accurate representations of these gene expression signatures in the living brain. By using tissue safely obtained from large cohorts of living people, future studies of the human brain have the potential to (1) determine the biomedical research questions that can be addressed using postmortem tissue as a proxy for living tissue and (2) expand the scope of medical research to include questions about the molecular basis of human brain health and illness that can only be addressed in living people (e.g., "What happens in the brain at the molecular level as a person experiences an emotion?").

摘要

精神病学研究的一个目标是确定人类大脑健康与疾病的分子基础。实现这一目标的一种方法是通过对人类脑组织中的基因表达进行研究。由于无法从活人身上获取脑组织,大多数此类研究都是使用死后脑捐赠者的组织进行的。这种做法背后的一个假设是,死后人类大脑中的基因表达是活人大脑中基因表达的准确反映。这个迄今为止尚未得到充分验证的假设,通过比较275个活体样本和243个死后样本之间的人类前额叶皮质基因表达来进行检验。近80%的基因表达水平存在显著差异,对这一观察结果的替代解释进行系统检查后确定,这些差异无法用细胞类型组成、RNA质量、死后间隔、年龄、药物治疗、发病率、症状严重程度、组织病理学、样本处理、批次效应或所使用的计算方法来解释。利用来自两个独立队列的基因表达数据,活体样本和死后样本之间的差异得到了重复验证,并表明在所有脑细胞类型中都存在。将本研究生成的数据与早期使用死后脑捐赠者组织的研究数据进行整合分析表明,精神疾病和神经疾病以及衰老等正常特征的死后脑基因表达特征,可能并不总是活脑这些基因表达特征的准确反映。通过使用从大量活人队列中安全获取的组织,未来对人类大脑的研究有可能:(1)确定哪些生物医学研究问题可以用死后组织替代活体组织来解决;(2)扩大医学研究的范围,将关于人类大脑健康与疾病分子基础的问题纳入其中,而这些问题只能在活人身上得到解决(例如,“当一个人经历某种情绪时,大脑在分子水平上会发生什么?”)。

相似文献

1
A study of gene expression in the living human brain.一项关于人类活体大脑中基因表达的研究。
Mol Psychiatry. 2025 Aug 23. doi: 10.1038/s41380-025-03163-1.
2
A study of gene expression in the living human brain.一项关于活体人类大脑基因表达的研究。
medRxiv. 2023 Aug 1:2023.04.21.23288916. doi: 10.1101/2023.04.21.23288916.
3
Prescription of Controlled Substances: Benefits and Risks管制药品的处方:益处与风险
4
The Black Book of Psychotropic Dosing and Monitoring.《精神药物剂量与监测黑皮书》
Psychopharmacol Bull. 2024 Jul 8;54(3):8-59.
5
Sexual Harassment and Prevention Training性骚扰与预防培训
6
Anterior Approach Total Ankle Arthroplasty with Patient-Specific Cut Guides.使用患者特异性截骨导向器的前路全踝关节置换术。
JBJS Essent Surg Tech. 2025 Aug 15;15(3). doi: 10.2106/JBJS.ST.23.00027. eCollection 2025 Jul-Sep.
7
Systemic pharmacological treatments for chronic plaque psoriasis: a network meta-analysis.系统性药理学治疗慢性斑块状银屑病:网络荟萃分析。
Cochrane Database Syst Rev. 2021 Apr 19;4(4):CD011535. doi: 10.1002/14651858.CD011535.pub4.
8
Systemic pharmacological treatments for chronic plaque psoriasis: a network meta-analysis.慢性斑块状银屑病的全身药理学治疗:一项网状Meta分析。
Cochrane Database Syst Rev. 2020 Jan 9;1(1):CD011535. doi: 10.1002/14651858.CD011535.pub3.
9
Signs and symptoms to determine if a patient presenting in primary care or hospital outpatient settings has COVID-19.在基层医疗机构或医院门诊环境中,如果患者出现以下症状和体征,可判断其是否患有 COVID-19。
Cochrane Database Syst Rev. 2022 May 20;5(5):CD013665. doi: 10.1002/14651858.CD013665.pub3.
10
Cost-effectiveness of using prognostic information to select women with breast cancer for adjuvant systemic therapy.利用预后信息为乳腺癌患者选择辅助性全身治疗的成本效益
Health Technol Assess. 2006 Sep;10(34):iii-iv, ix-xi, 1-204. doi: 10.3310/hta10340.

引用本文的文献

1
Translating the Transcriptome: A Connectomics Approach for Gene-Network Mapping and Clinical Application.转录组翻译:一种用于基因网络映射和临床应用的连接组学方法
medRxiv. 2025 Aug 12:2025.08.08.25333301. doi: 10.1101/2025.08.08.25333301.
2
Mapping the GDF15 Arm of the Integrated Stress Response in Human Cells and Tissues.绘制人类细胞和组织中综合应激反应的生长分化因子15通路图。
bioRxiv. 2025 Feb 1:2025.01.31.635929. doi: 10.1101/2025.01.31.635929.
3
Genetic Foundations of Inter-individual Neurophysiological Variability.个体间神经生理变异性的遗传基础。

本文引用的文献

1
Single-cell multi-cohort dissection of the schizophrenia transcriptome.单细胞多队列解析精神分裂症转录组。
Science. 2024 May 24;384(6698):eadg5136. doi: 10.1126/science.adg5136.
2
Molecular states during acute COVID-19 reveal distinct etiologies of long-term sequelae.急性 COVID-19 期间的分子状态揭示了长期后遗症的不同病因。
Nat Med. 2023 Jan;29(1):236-246. doi: 10.1038/s41591-022-02107-4. Epub 2022 Dec 8.
3
Broad transcriptomic dysregulation occurs across the cerebral cortex in ASD.自闭症患者大脑皮层广泛存在转录组失调。
bioRxiv. 2025 Apr 29:2024.07.19.604292. doi: 10.1101/2024.07.19.604292.
4
Divergent landscapes of A-to-I editing in postmortem and living human brain.死后及活体人类大脑中A到I编辑的不同景观。
medRxiv. 2024 May 9:2024.05.06.24306763. doi: 10.1101/2024.05.06.24306763.
5
Regional patterns of human cortex development correlate with underlying neurobiology.人类皮质发育的区域模式与潜在神经生物学相关。
bioRxiv. 2024 Aug 10:2023.05.05.539537. doi: 10.1101/2023.05.05.539537.
Nature. 2022 Nov;611(7936):532-539. doi: 10.1038/s41586-022-05377-7. Epub 2022 Nov 2.
4
Temporal Lobe Epilepsy and Psychiatric Comorbidity.颞叶癫痫与精神共病
Front Neurol. 2021 Nov 30;12:775781. doi: 10.3389/fneur.2021.775781. eCollection 2021.
5
KEGG mapping tools for uncovering hidden features in biological data.KEGG 映射工具可用于揭示生物数据中的隐藏特征。
Protein Sci. 2022 Jan;31(1):47-53. doi: 10.1002/pro.4172. Epub 2021 Aug 26.
6
Downregulation of exhausted cytotoxic T cells in gene expression networks of multisystem inflammatory syndrome in children.儿童多系统炎症综合征基因表达网络中耗竭细胞毒性 T 细胞的下调。
Nat Commun. 2021 Aug 11;12(1):4854. doi: 10.1038/s41467-021-24981-1.
7
Selective time-dependent changes in activity and cell-specific gene expression in human postmortem brain.人类尸检脑中活性和细胞特异性基因表达的选择性时变。
Sci Rep. 2021 Mar 23;11(1):6078. doi: 10.1038/s41598-021-85801-6.
8
Twelve years of SAMtools and BCFtools.SAMtools 和 BCFtools 十二年。
Gigascience. 2021 Feb 16;10(2). doi: 10.1093/gigascience/giab008.
9
Integrative Analysis Reveals a Molecular Stratification of Systemic Autoimmune Diseases.整合分析揭示了系统性自身免疫性疾病的分子分层。
Arthritis Rheumatol. 2021 Jun;73(6):1073-1085. doi: 10.1002/art.41610. Epub 2021 Apr 26.
10
Advances in transcriptome analysis of human brain aging.人类大脑衰老转录组分析的进展。
Exp Mol Med. 2020 Nov;52(11):1787-1797. doi: 10.1038/s12276-020-00522-6. Epub 2020 Nov 26.