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绘制人类神经元的复杂基因图谱。

Mapping the Complex Genetic Landscape of Human Neurons.

作者信息

Sun Chen, Kathuria Kunal, Emery Sarah B, Kim ByungJun, Burbulis Ian E, Shin Joo Heon, Weinberger Daniel R, Moran John V, Kidd Jeffrey M, Mills Ryan E, McConnell Michael J

机构信息

Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, 100 Washtenaw Avenue, Ann Arbor, MI 48109, USA.

Lieber Institute for Brain Development, 855 North Wolfe Street, Baltimore, MD 21205, USA.

出版信息

bioRxiv. 2023 Mar 7:2023.03.07.531594. doi: 10.1101/2023.03.07.531594.

Abstract

When somatic cells acquire complex karyotypes, they are removed by the immune system. Mutant somatic cells that evade immune surveillance can lead to cancer. Neurons with complex karyotypes arise during neurotypical brain development, but neurons are almost never the origin of brain cancers. Instead, somatic mutations in neurons can bring about neurodevelopmental disorders, and contribute to the polygenic landscape of neuropsychiatric and neurodegenerative disease. A subset of human neurons harbors idiosyncratic copy number variants (CNVs, "CNV neurons"), but previous analyses of CNV neurons have been limited by relatively small sample sizes. Here, we developed an allele-based validation approach, SCOVAL, to corroborate or reject read-depth based CNV calls in single human neurons. We applied this approach to 2,125 frontal cortical neurons from a neurotypical human brain. This approach identified 226 CNV neurons, as well as a class of CNV neurons with complex karyotypes containing whole or substantial losses on multiple chromosomes. Moreover, we found that CNV location appears to be nonrandom. Recurrent regions of neuronal genome rearrangement contained fewer, but longer, genes.

摘要

当体细胞获得复杂核型时,它们会被免疫系统清除。逃避免疫监视的突变体细胞会导致癌症。具有复杂核型的神经元在典型的大脑发育过程中出现,但神经元几乎从未成为脑癌的起源。相反,神经元中的体细胞突变可导致神经发育障碍,并影响神经精神疾病和神经退行性疾病的多基因格局。一部分人类神经元具有独特的拷贝数变异(CNV,“CNV神经元”),但之前对CNV神经元的分析受到样本量相对较小的限制。在这里,我们开发了一种基于等位基因的验证方法SCOVAL,以证实或否定单个人类神经元中基于读取深度的CNV调用。我们将此方法应用于来自一个典型人类大脑的2125个额叶皮质神经元。该方法鉴定出226个CNV神经元,以及一类具有复杂核型的CNV神经元,其在多条染色体上存在整条或大量缺失。此外,我们发现CNV的位置似乎并非随机。神经元基因组重排的反复出现区域包含的基因较少,但较长。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1e2/10028870/604a84c10a70/nihpp-2023.03.07.531594v1-f0001.jpg

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