Title |
Multi-omic comparison of Alzheimer’s variants in human ESC–derived microglia reveals convergence at APOE
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Published in |
The Journal of Experimental Medicine, September 2020
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DOI | 10.1084/jem.20200474 |
Pubmed ID | |
Authors |
Tongfei Liu, Bing Zhu, Yan Liu, Xiaoming Zhang, Jun Yin, Xiaoguang Li, LuLin Jiang, Andrew P. Hodges, Sara Brin Rosenthal, Lisa Zhou, Joel Yancey, Amanda McQuade, Mathew Blurton-Jones, Rudolph E. Tanzi, Timothy Y. Huang, Huaxi Xu |
Abstract |
Variations in many genes linked to sporadic Alzheimer's disease (AD) show abundant expression in microglia, but relationships among these genes remain largely elusive. Here, we establish isogenic human ESC-derived microglia-like cell lines (hMGLs) harboring AD variants in CD33, INPP5D, SORL1, and TREM2 loci and curate a comprehensive atlas comprising ATAC-seq, ChIP-seq, RNA-seq, and proteomics datasets. AD-like expression signatures are observed in AD mutant SORL1 and TREM2 hMGLs, while integrative multi-omic analysis of combined epigenetic and expression datasets indicates up-regulation of APOE as a convergent pathogenic node. We also observe cross-regulatory relationships between SORL1 and TREM2, in which SORL1R744X hMGLs induce TREM2 expression to enhance APOE expression. AD-associated SORL1 and TREM2 mutations also impaired hMGL Aβ uptake in an APOE-dependent manner in vitro and attenuated Aβ uptake/clearance in mouse AD brain xenotransplants. Using this modeling and analysis platform for human microglia, we provide new insight into epistatic interactions in AD genes and demonstrate convergence of microglial AD genes at the APOE locus. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 18 | 33% |
United Kingdom | 6 | 11% |
India | 2 | 4% |
Finland | 2 | 4% |
France | 2 | 4% |
Poland | 1 | 2% |
Netherlands | 1 | 2% |
Colombia | 1 | 2% |
Chile | 1 | 2% |
Other | 1 | 2% |
Unknown | 19 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 31 | 57% |
Scientists | 18 | 33% |
Science communicators (journalists, bloggers, editors) | 3 | 6% |
Practitioners (doctors, other healthcare professionals) | 2 | 4% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 112 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 30 | 27% |
Student > Ph. D. Student | 15 | 13% |
Student > Bachelor | 9 | 8% |
Other | 5 | 4% |
Student > Master | 5 | 4% |
Other | 10 | 9% |
Unknown | 38 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 29 | 26% |
Biochemistry, Genetics and Molecular Biology | 18 | 16% |
Agricultural and Biological Sciences | 10 | 9% |
Medicine and Dentistry | 7 | 6% |
Immunology and Microbiology | 3 | 3% |
Other | 5 | 4% |
Unknown | 40 | 36% |