Figure S1. Network plot for the microglial/innate immune module: AD+Ctrl.TCX14, based on the temporal cortex expression levels from AD and control samples, under the simple model. The top 150 connections according to topological overlap matrices weight from WGCNA are shown for genes with a module membership (MM) > 0.7. The size of the node correlates to the number of connections of that node with others in the network, and green denotes genes enriched in microglia. Transcripts with significant differential expression between AD and controls with q < 0.05 are shown as a square. (TIFF 6088 kb
Immunohistochemical characterization of Munc18-1 splice variants in human dentate gyrus reveals simi...
Table S1. Enrichment of AD-risk variants at DHSs from Roadmap Epigenomics Consortium data. (XLSX 36 ...
Table S7. Results from the de novo motif analysis performed using HOMER on the macrophage DHS. (XLSX...
Table S2. Enrichment of AD-risk variants at H3K27ac peaks from Roadmap Epigenomics Consortium data. ...
Table S3. Enrichment of AD-risk variants at H3K4me1 peaks from Roadmap Epigenomics Consortium data. ...
Figure S1. Open chromatin regions (OCRs) identified in macrophages and microglia at Alzheimer’s dise...
Aging is regarded as a major risk factor for neurodegenerative diseases. Thus, a better understandin...
Aging is regarded as a major risk factor for neurodegenerative diseases. Thus, a better understandin...
Aging is regarded as a major risk factor for neurodegenerative diseases. Thus, a better understandin...
Aging is regarded as a major risk factor for neurodegenerative diseases. Thus, a better understandin...
Table S4. Enrichment of AD-risk variants at H4K3me3 peaks from Roadmap Epigenomics Consortium data. ...
Table S1. Comparison of module genes identified by lmQCM and WGCNA from GSE48350 AD samples. (XLSX 1...
Table S1. Mouse microglial transcriptomic modules identified by Weighted Correlation Network Analysi...
Figure S1. Correlations between GIA1 and individual clinic traits stratified by AOD (age of death), ...
Figure S4. SOCS3 regulates gene networks linked to reactivity in APP astrocytes. The top 100 most co...
Immunohistochemical characterization of Munc18-1 splice variants in human dentate gyrus reveals simi...
Table S1. Enrichment of AD-risk variants at DHSs from Roadmap Epigenomics Consortium data. (XLSX 36 ...
Table S7. Results from the de novo motif analysis performed using HOMER on the macrophage DHS. (XLSX...
Table S2. Enrichment of AD-risk variants at H3K27ac peaks from Roadmap Epigenomics Consortium data. ...
Table S3. Enrichment of AD-risk variants at H3K4me1 peaks from Roadmap Epigenomics Consortium data. ...
Figure S1. Open chromatin regions (OCRs) identified in macrophages and microglia at Alzheimer’s dise...
Aging is regarded as a major risk factor for neurodegenerative diseases. Thus, a better understandin...
Aging is regarded as a major risk factor for neurodegenerative diseases. Thus, a better understandin...
Aging is regarded as a major risk factor for neurodegenerative diseases. Thus, a better understandin...
Aging is regarded as a major risk factor for neurodegenerative diseases. Thus, a better understandin...
Table S4. Enrichment of AD-risk variants at H4K3me3 peaks from Roadmap Epigenomics Consortium data. ...
Table S1. Comparison of module genes identified by lmQCM and WGCNA from GSE48350 AD samples. (XLSX 1...
Table S1. Mouse microglial transcriptomic modules identified by Weighted Correlation Network Analysi...
Figure S1. Correlations between GIA1 and individual clinic traits stratified by AOD (age of death), ...
Figure S4. SOCS3 regulates gene networks linked to reactivity in APP astrocytes. The top 100 most co...
Immunohistochemical characterization of Munc18-1 splice variants in human dentate gyrus reveals simi...
Table S1. Enrichment of AD-risk variants at DHSs from Roadmap Epigenomics Consortium data. (XLSX 36 ...
Table S7. Results from the de novo motif analysis performed using HOMER on the macrophage DHS. (XLSX...