Suppr超能文献

单细胞分辨率下人类前额叶皮层的群体规模跨疾病图谱。

Population-scale cross-disorder atlas of the human prefrontal cortex at single-cell resolution.

作者信息

Fullard John F, Nm Prashant, Lee Donghoon, Mathur Deepika, Therrien Karen, Hong Aram, Casey Clara, Shao Zhiping, Alvia Marcela, Argyriou Stathis, Clarence Tereza, Burstein David, Venkatesh Sanan, Auluck Pavan K, Barnes Lisa L, Bennett David A, Marenco Stefano, Girdhar Kiran, Haroutunian Vahram, Hoffman Gabriel E, Voloudakis Georgios, Bendl Jaroslav, Roussos Panos

机构信息

Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

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

出版信息

Sci Data. 2025 Jun 6;12(1):954. doi: 10.1038/s41597-025-04687-5.

Abstract

Neurodegenerative diseases and serious mental illnesses often exhibit overlapping characteristics, highlighting the potential for shared underlying mechanisms. To facilitate a deeper understanding of these diseases and pave the way for more effective treatments, we have generated a population-scale multi-omics dataset consisting of genotype and single-nucleus transcriptome data from the prefrontal cortex of frozen human brain specimens. Encompassing over 6.3 million nuclei from 1,494 donors, our dataset represents a diverse range of neurodegenerative and serious mental illnesses, including Alzheimer's and Parkinson's diseases, schizophrenia, bipolar disorder and diffuse Lewy body dementia, as well as neurotypical controls. Our dataset offers a unique opportunity to study disease interactions, as 21% of donors had comorbid diagnoses of two or more major brain disorders. Additionally, it includes detailed phenotypic information on neuropsychiatric symptoms, such as apathy and weight loss, which commonly accompany Alzheimer's disease and related dementias. We have performed stringent preprocessing and quality controls, ensuring the reliability and usability of the data. As a commitment to fostering collaborative research, we provide this valuable resource as an online repository, enabling widespread analyses across the scientific community.

摘要

神经退行性疾病和严重精神疾病常常表现出重叠的特征,这凸显了潜在的共同病理机制。为了更深入地理解这些疾病,并为更有效的治疗方法铺平道路,我们生成了一个群体规模的多组学数据集,该数据集包含来自冷冻人脑标本前额叶皮层的基因型和单核转录组数据。我们的数据集涵盖了来自1494名捐赠者的630多万个细胞核,代表了多种神经退行性疾病和严重精神疾病,包括阿尔茨海默病和帕金森病、精神分裂症、双相情感障碍和弥漫性路易体痴呆,以及神经正常对照。我们的数据集为研究疾病之间的相互作用提供了独特的机会,因为21%的捐赠者患有两种或更多种主要脑部疾病的合并诊断。此外,它还包括关于神经精神症状的详细表型信息,如冷漠和体重减轻,这些症状通常伴随阿尔茨海默病和相关痴呆症出现。我们进行了严格的预处理和质量控制,确保了数据的可靠性和可用性。作为促进合作研究的一项举措,我们将这个宝贵的资源作为在线存储库提供,以便科学界能够广泛进行分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d87d/12144096/9ee25d9c5f8f/41597_2025_4687_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验