Key resources table
| REAGENT or RESOURCE | SOURCE | IDENTIFIER |
|---|---|---|
| Antibodies | ||
| rat anti-CD3 | Abcam | Cat #ab11089 |
| rabbit anti-CD8 | Cell Signaling | Cat #85336 |
| mouse anti-CXCR3 | Abcam | Cat #ab64714 |
| rabbit anti-Aβ | Cell Signaling | Cat #42284 |
| goat anti-Ibal | Abcam | Cat #ab5076 |
| CD8α-Pacific blue | BioLegend | Cat #344718 |
| CD3-BV650 | BD Biosciences | Cat #563916 |
| CD45RA-PE | BioLegend | Cat #304108 |
| CCR7-488 | BioLegend | Cat #353206 |
| CD27-PE-Cy7 | BioLegend | Cat #302838 |
| CXCR3-647 | BioLegend | Cat #353712 |
| Fixable Live/dead dye | Thermo | Cat #L34992 |
| Bacterial and virus strains | ||
| Biological samples | ||
| Adult PBMCs | Stanford University Alzheimer’s Disease Research Center (ADRC) | n/a |
| Table 1 Demographic information | This paper | n/a |
| Chemicals, peptides, and recombinant proteins | ||
| Critical commercial assays | ||
| 10x Genomics Chromium Next GEM Single Cell 5’ v2 with immune profiling kit | 10x Genomics | User Guide CG000331, Rev D |
| 10x Genomics Chromium Next GEM Single Cell ATAC v1.1 kit | 10x Genomics | User Guide CG000209, Rev F |
| 10x Genomics Nuclei Isolation for Single Cell ATAC Sequencing | 10x Genomics | Demonstrated protocol CG000169, Rev D |
| Deposited data | ||
| Raw and processed single cell RNA+TCR sequencing data | This study | GEO: GSE226602 |
| Raw and processed single cell ATAC sequencing data | This study | GEO: GSE226267 |
| Experimental models: Cell lines | ||
| Experimental models: Organisms/strains | ||
| Oligonucleotides | ||
| Recombinant DNA | ||
| Software and algorithms | ||
| Code for analysis | This study |
https://github.com/gatelabnw/ad_apoe_pub and DOI: 10.5281/zenodo.10472192 |
| Cellranger v6.0.0 | 10x Genomics | https://support.10xgenomics.com/single-cell-gene-expression/software/pipelines/latest/what-is-cell-ranger |
| SoupX v1.6.2 | Young and Behjati24 | https://github.com/constantAmateur/SoupX |
| DoubletFinder v2.0.3 | McGinnis et al.59 | https://github.com/chris-mcginnis-ucsf/DoubletFinder |
| Cell Ranger ATAC v2.0.0 | 10x Genomics | https://support.10xgenomics.com/single-cell-atac/software/pipelines/latest/what-is-cell-ranger-atac |
| ArchR v1.0.2 | Granja et al.22 | https://github.com/GreenleafLab/ArchR |
| ArchR2Signac v1.0.2 | Shi et al.25 | https://github.com/swaruplabUCI/ArchRtoSignac |
| Seurat v4.1.0 | Hao et al.23 | https://satijalab.org/seurat/ |
| edgeR from Delegate v1.0.0 | Christoph Hafemeister, Developmental Cancer Genomics group at St. Anna Children’s Cancer Research Institute (CCRI) | https://github.com/cancerbits/DElegate |
| DESeq2 from Delegate v1.0.0 | Christoph Hafemeister, Developmental Cancer Genomics group at St. Anna Children’s Cancer Research Institute (CCRI) | https://github.com/cancerbits/DElegate |
| Signac v1.8.0 | Stuart et al.26 | https://github.com/stuart-lab/signac |
| maxATAC v1.0.0 | Cazares et al.33 | https://github.com/MiraldiLab/maxATAC |
| Cicero v1.3.8 | Pliner et al.35 | https://github.com/cole-trapnell-lab/cicero-release |
| Other | ||
| ShinyCell app for interactive data analysis | This paper | https://gatelabnu.shinyapps.io/ad_apoe_rna/ |