Editorial: Bioinformatics analysis of single cell sequencing and multi-omics in the aging and age-associated diseases.
作者信息
Peng Shouneng, Wang Ailan, Ding Junjun, Soreq Lilach
机构信息
Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Beijing Hotgen Biotech Co., Ltd., Beijing, China.
出版信息
Front Aging Neurosci. 2024 Mar 7;16:1384586. doi: 10.3389/fnagi.2024.1384586. eCollection 2024.
Abstract
摘要
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本文引用的文献
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Single-cell RNA sequencing analysis of human Alzheimer's disease brain samples reveals neuronal and glial specific cells differential expression.单细胞 RNA 测序分析人类阿尔茨海默病脑样本揭示神经元和神经胶质细胞特异性差异表达。
PLoS One. 2023 Feb 24;18(2):e0277630. doi: 10.1371/journal.pone.0277630. eCollection 2023.
2
Transcriptomic Changes Highly Similar to Alzheimer's Disease Are Observed in a Subpopulation of Individuals During Normal Brain Aging.在正常脑老化过程中，在一部分个体中观察到与阿尔茨海默病高度相似的转录组变化。
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Human geroprotector discovery by targeting the converging subnetworks of aging and age-related diseases.通过靶向衰老和与年龄相关疾病的汇聚子网发现人类 geroprotector。
Geroscience. 2020 Feb;42(1):353-372. doi: 10.1007/s11357-019-00106-x. Epub 2019 Oct 21.
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Transcriptomic analysis of probable asymptomatic and symptomatic alzheimer brains.可能无症状和有症状的阿尔茨海默病大脑的转录组分析。
Brain Behav Immun. 2019 Aug;80:644-656. doi: 10.1016/j.bbi.2019.05.009. Epub 2019 May 4.
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