REAGENT or RESOURCE | SOURCE | IDENTIFIER |
---|---|---|
Deposited data | ||
GWAS Catalog | Buniello et al.44 | https://www.ebi.ac.uk/gwas/ |
SNPnexus | Oscanoa et al.28 | https://www.snp-nexus.org/v4/ |
GTEx | Lonsdale et al.24; GTEx Consortium25 | https://gtexportal.org/home/datasets |
Ensembl Regulatory Build | Zerbino et al.27 | https://grch37.ensembl.org/index.html |
ENCODE | Kundaje et al.29 | https://www.encodeproject.org/ |
NIAGADS | NA | https://www.niagads.org |
The Alzheimer’s disease Knowledge portal | NA | https://adknowledgeportal.synapse.org/ |
Human protein-protein interactome | Zhou et al.89 | https://alzgps.lerner.ccf.org |
Gene Ontology | Mi et al.30 | http://geneontology.org |
AlzGene | Bertram et al.38 | http://www.alzgene.org |
DistiLD | Palleja et al.39 | http://distild.jensenlab.org |
TIGA | Yang et al.40 | https://unmtid-shinyapps.net/shiny/tiga/ |
DISEASES | Pletscher-Frankild et al.41 | https://diseases.jensenlab.org/Search |
Human microarray: 31 late-stage AD and 32 controls | Miller et al.90; Zhou et al.89 | GEO: GSE29378; https://alzgps.lerner.ccf.org |
Human microarray: 42 late-stage AD and 173 controls |
Berchtold et al.91; Zhou et al.89 | GEO: GSE48350; https://alzgps.lerner.ccf.org |
Human microarray: 328 late-stage AD and 214 controls |
Wang et al.92; Zhou et al.89 | GEO: GSE84422; https://alzgps.lerner.ccf.org |
Human bulk-RNA seq: 4 late-stage AD and 4 controls |
Zhou et al.89; Magistri et al.93 | https://alzgps.lerner.ccf.org |
Human bulk-RNA seq: 6 late-stage AD and 6 controls |
Zhou et al.89; Annese et al.94 | https://alzgps.lerner.ccf.org |
Human bulk-RNA seq: 20 late-stage AD and 10 controls |
Zhou et al.89; van Rooij, et al.95 | https://alzgps.lerner.ccf.org |
Mouse single-cell RNA seq: 6-month-old 16 5xFAD and16 WT mouses | Keren-Shaul et al.96 | GEO: GSE98696; http://taca.lerner.ccf.org/ |
Mouse single-nucleus RNA seq: 7-month-old 3 TREM2-KO WT, 3 TREM2-KO 5xFAD, 3 5xFAD, and 3 WT mouses |
Zhou et al.97 | GEO: GSE140511; http://taca.lerner.ccf.org/ |
Human single-nucleus RNA seq: 3 Braak stage 0, 4 Braak stage and 3 Braak stage brain samples | Leng et al.98 | GEO: GSE147528; http://taca.lerner.ccf.org/ |
Human single-nucleus RNA seq: 6 AD and 6 controls | Grubman et al.99 | GEO: GSE138852; http://taca.lerner.ccf.org/ |
Human single-nucleus RNA seq: 12 AD and 9 controls |
Lau et al.100 | GEO: GSE157827; http://taca.lerner.ccf.org/ |
Mouse proteomic data (7- and 10-month-old ADLP mouse models [JNPL3 mouse model cross with 5xFAD mouse model]) | Zhou et al.89; Kim et al.101 | https://alzgps.lerner.ccf.org |
Mouse proteomic data (7- and 10-month-old 5xFAD mouse model) | Zhou et al.89; Kim et al.101 | https://alzgps.lerner.ccf.org |
Mouse proteomic data (12-month-old 5xFAD mouse model) |
Zhou et al.89; Savas et al.102 | https://alzgps.lerner.ccf.org |
Mouse proteomic data (12-month-old hAPP mouse model) | Zhou et al.89; Savas et al.102 | https://alzgps.lerner.ccf.org |
Software and algorithms | ||
NETTAG | This paper | https://github.com/ChengF-Lab/NETTAG |
diffusr R package | Valdeolivas et al.23 | https://github.com/dirmeier/diffusr |
Seurat R package | Butler et al.103 | https://github.com/satijalab/seurat |
MAST R package | Finak et al.104 | https://github.com/RGLab/MAST |
scikit-learn Python package: spectral clustering, k-means, SVD | Pedregosa et al.105 | https://scikit-learn.org/stable/index.html |
Enrichment analysis | Chen et al.106; Kuleshov et al.107 | https://maayanlab.doud/Enrichr/ |