Peripheral immunomodulatory effects of Apolipoprotein E4 on Alzheimer's disease - Immune Enrichment
Single-cell RNA-seq · human · 50 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
- 50 samples: 50 samples, each with a distinct title — no replicated groupsGroups 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.
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 GSE227991_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 PRJNA947632 and SRA study SRP428799. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 28 samples read as cases, 22 as controls.
How we read this: Read from 50 sample titles: 50 distinct titles with little repetition. 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.
- GSM7111985 PBMC_1028_ImmEnrich_Healthy Control
- GSM7111986 PBMC_1241_ImmEnrich_Alzheimers Disease
- GSM7111987 PBMC_906_ImmEnrich_Alzheimers Disease
- GSM7111988 PBMC_1034_ImmEnrich_Alzheimers Disease
- GSM7111989 PBMC_1055_ImmEnrich_Alzheimers Disease
- GSM7111990 PBMC_1092_ImmEnrich_Alzheimers Disease
- GSM7111991 PBMC_1120_ImmEnrich_Alzheimers Disease
- GSM7111992 PBMC_1160_ImmEnrich_Alzheimers Disease
- GSM7111993 PBMC_254_ImmEnrich_Alzheimers Disease
- GSM7111994 PBMC_1052_ImmEnrich_Alzheimers Disease
- GSM7111995 PBMC_516_ImmEnrich_Alzheimers Disease
- GSM7111996 PBMC_696_ImmEnrich_Alzheimers Disease
- GSM7111997 PBMC_1273_ImmEnrich_Healthy Control
- GSM7111998 PBMC_738_ImmEnrich_Alzheimers Disease
- GSM7111999 PBMC_911_ImmEnrich_Healthy Control
- GSM7112000 PBMC_1180_ImmEnrich_Healthy Control
- GSM7112001 PBMC_773_ImmEnrich_Alzheimers Disease
- GSM7112002 PBMC_863_ImmEnrich_Alzheimers Disease
- GSM7112003 PBMC_1279_ImmEnrich_Healthy Control
- GSM7112004 PBMC_598_ImmEnrich_Healthy Control
- GSM7112005 PBMC_917_ImmEnrich_Alzheimers Disease
- GSM7112006 PBMC_932_ImmEnrich_Alzheimers Disease
- GSM7112007 PBMC_780_ImmEnrich_Healthy Control
- GSM7112008 PBMC_802_ImmEnrich_Alzheimers Disease
- GSM7112009 PBMC_1020_ImmEnrich_Healthy Control
- GSM7112010 PBMC_942_ImmEnrich_Alzheimers Disease
- GSM7112011 PBMC_968_ImmEnrich_Healthy Control
- GSM7112012 PBMC_1147_ImmEnrich_Alzheimers Disease
- GSM7112013 PBMC_781_ImmEnrich_Healthy Control
- GSM7112014 PBMC_1111_ImmEnrich_Healthy Control
- GSM7112015 PBMC_656_ImmEnrich_Alzheimers Disease
- GSM7112016 PBMC_912_ImmEnrich_Healthy Control
- GSM7112017 PBMC_978_ImmEnrich_Healthy Control
- GSM7112018 PBMC_1282_ImmEnrich_Healthy Control
- GSM7112019 PBMC_953_ImmEnrich_Alzheimers Disease
- GSM7112020 PBMC_820_ImmEnrich_Healthy Control
- GSM7112021 PBMC_1162_ImmEnrich_Healthy Control
- GSM7112022 PBMC_989_ImmEnrich_Healthy Control
- GSM7112023 PBMC_1010_ImmEnrich_Healthy Control
- GSM7112024 PBMC_965_ImmEnrich_Alzheimers Disease
+ 10 more — browse all 50 samples with per-sample file links →
- GSE280720 Functional characterization of Central Nervous System (CNS) and peripheral immune responses in Alzheimer's Disease after Bacillus Calmette Guerin (BCG) vaccination in older adults. 64 samples shares peripheral, alzheimer
- GSE281106 Single-cell RNA-seq of peripheral blood links cell-type-specific regulation of splicing to autoimmune and inflammatory diseases [scRNAseq_KR_SGI] 352 samples shares peripheral
- GSE270387 Single cell profiling of peripheral blood mononuclear cells in diverse men with prostate cancer reveals lethal disease-associated immune signatures 165 samples shares peripheral
- GSE327707 Sorted bulk RNA-seq profiling of human peripheral blood mononuclear cell populations across diverse in vitro immune stimuli 150 samples shares peripheral
- GSE289582 Baseline tumor features and peripheral blood immune dynamics that underlie efficacy in MSS metastatic colorectal cancer treated with regorafenib, ipilimumab, and nivolumab [Blood] 115 samples shares peripheral
- GSE287118 Multiomics identifies unique modulators of calf muscle pathophysiology in peripheral artery disease and chronic kidney disease 86 samples shares peripheral
- GSE310095 Whole Blood Transcriptomics Differentiates Circulating Gene Expression Between Coronary Artery Disease and Peripheral Artery Disease 71 samples shares peripheral
- GSE267195 Single-cell landscape of peripheral immune cells in MAFLD/MASH 68 samples shares peripheral
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.