Sex-dependent APOE4 Neutrophil-microglia interactions drive cognitive impairment in Alzheimer's Disease
Single-cell RNA-seq · human · 39 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Samples
- 39 samples: 21 × SPG, CTRL, APOE vs 18 × SPG, AD, APOEGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- Sex-dependent APOE4 neutrophil-microglia interactions drive cognitive impairment in Alzheimer's diseaseNature medicine · 2024
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE260461_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1081819 and SRA study SRP492325. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 39 samples.
How we read this: 2 replicated groups read from 39 sample titles; they account for 39 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8117703 SPG, AD, APOE3 SPG, AD, APOE
- GSM8117704 SPG, AD, APOE4 SPG, AD, APOE
- GSM8117705 SPG, AD, APOE5 SPG, AD, APOE
- GSM8117706 SPG, AD, APOE6 SPG, AD, APOE
- GSM8117707 SPG, CTRL, APOE7 SPG, CTRL, APOE
- GSM8117708 SPG, CTRL, APOE8 SPG, CTRL, APOE
- GSM8117709 SPG, CTRL, APOE9 SPG, CTRL, APOE
- GSM8117710 SPG, CTRL, APOE10 SPG, CTRL, APOE
- GSM8117711 SPG, AD, APOE13 SPG, AD, APOE
- GSM8117712 SPG, AD, APOE14 SPG, AD, APOE
- GSM8117713 SPG, AD, APOE15 SPG, AD, APOE
- GSM8117714 SPG, AD, APOE16 SPG, AD, APOE
- GSM8117715 SPG, CTRL, APOE17 SPG, CTRL, APOE
- GSM8117716 SPG, CTRL, APOE18 SPG, CTRL, APOE
- GSM8117717 SPG, CTRL, APOE19 SPG, CTRL, APOE
- GSM8117718 SPG, CTRL, APOE20 SPG, CTRL, APOE
- GSM8117719 SPG, AD, APOE23 SPG, AD, APOE
- GSM8117720 SPG, AD, APOE24 SPG, AD, APOE
- GSM8117721 SPG, AD, APOE25 SPG, AD, APOE
- GSM8117722 SPG, AD, APOE26 SPG, AD, APOE
- GSM8117723 SPG, CTRL, APOE27 SPG, CTRL, APOE
- GSM8117724 SPG, CTRL, APOE28 SPG, CTRL, APOE
- GSM8117725 SPG, CTRL, APOE29 SPG, CTRL, APOE
- GSM8117726 SPG, CTRL, APOE30 SPG, CTRL, APOE
- GSM8117727 SPG, AD, APOE34 SPG, AD, APOE
- GSM8117728 SPG, AD, APOE35 SPG, AD, APOE
- GSM8117729 SPG, AD, APOE36 SPG, AD, APOE
- GSM8117730 SPG, CTRL, APOE37 SPG, CTRL, APOE
- GSM8117731 SPG, CTRL, APOE38 SPG, CTRL, APOE
- GSM8117732 SPG, CTRL, APOE39 SPG, CTRL, APOE
- GSM8117733 SPG, CTRL, APOE40 SPG, CTRL, APOE
- GSM8117734 SPG, AD, APOE44 SPG, AD, APOE
- GSM8117735 SPG, AD, APOE45 SPG, AD, APOE
- GSM8117736 SPG, AD, APOE46 SPG, AD, APOE
- GSM8117737 SPG, CTRL, APOE47 SPG, CTRL, APOE
- GSM8117738 SPG, CTRL, APOE49 SPG, CTRL, APOE
- GSM8117739 SPG, CTRL, APOE50 SPG, CTRL, APOE
- GSM8117740 SPG, CTRL, APOE57 SPG, CTRL, APOE
- GSM8117741 SPG, CTRL, APOE60 SPG, CTRL, APOE
- GSE243743 SEX-DEPENDENT APOE4 NEUTROPHIL-MICROGLIA INTERACTIONS DRIVE COGNITIVE IMPAIRMENT IN ALZHEIMER'S DISEASE [Human_F_M_HC_MCI_AD_E33_34] 94 samples shares apoe4, neutrophil-microglia, sex-dependent, interactions, impairment, cognitive, alzheimer, drive
- GSE243744 SEX-DEPENDENT APOE4 NEUTROPHIL-MICROGLIA INTERACTIONS DRIVE COGNITIVE IMPAIRMENT IN ALZHEIMER'S DISEASE [Human_Female_HC_MCI_APOE23_33_34] 47 samples shares apoe4, neutrophil-microglia, sex-dependent, interactions, impairment, cognitive, alzheimer, drive
- GSE243745 SEX-DEPENDENT APOE4 NEUTROPHIL-MICROGLIA INTERACTIONS DRIVE COGNITIVE IMPAIRMENT IN ALZHEIMER'S DISEASE [Human_IL18R1] 10 samples shares apoe4, neutrophil-microglia, sex-dependent, interactions, impairment, cognitive, alzheimer, drive
- GSE292774 Comparing the Effects of Taurine and 3-Sulfopropanoic Acid, a Metabolite of Tramiprosate, on ApoE4 Pathological Aggregation: Implications for Alzheimer's Disease 18 samples shares apoe4, alzheimer
- GSE254205 APOE4/4 is linked to damaging lipid droplets in Alzheimer's microglia 102 samples shares apoe4, alzheimer
- GSE329836 Intermolecular 3′UTR-3′UTR interactions drive Wnt gene activation through heteromeric protein assembly 29 samples shares interactions, drive
- GSE290659 MYC-FACT Interactions Drive Z-DNA Formation to Modulate Transcriptional Dynamics [RNA-seq CC & CL] 16 samples shares interactions, drive
- GSE270296 TGF-β Signaling Pathway and Cell-Cell Interactions in the Tumor Microenvironment Drive Bladder Cancer Progression after BCG Instillation Treatment: Insights from longitudinal Single-Nucleus RNA-Seq 14 samples shares interactions, drive
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.