Disease-associated RNA and protein signatures in iPSC-derived microglia model of Alzheimer’s disease
Non-coding RNA profiling · human · 12 samples
- What it is
- Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
- Organism
- Homo sapiens (human)
- Samples
- 12 samples: 12 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.
- Paper
- Disease-associated RNA and protein signatures in iPSC-derived microglia model of Alzheimer's diseaseFrontiers in neuroscience · 2026
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 GSE332551_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.
Also filed as BioProject PRJNA1468595 and SRA study SRP702346. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 12 sample titles: 12 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.
- GSM9750564 IPSC-microglia, AD15, RNA
- GSM9750565 IPSC-microglia, AD17, RNA
- GSM9750566 IPSC-microglia, AD18, RNA
- GSM9750567 IPSC-microglia, AD19, RNA
- GSM9750568 IPSC-microglia, AD20, RNA
- GSM9750569 IPSC-microglia, AD22, RNA
- GSM9750570 IPSC-microglia, AD15, sncRNA
- GSM9750571 IPSC-microglia, AD17, sncRNA
- GSM9750572 IPSC-microglia, AD18, sncRNA
- GSM9750573 IPSC-microglia, AD19, sncRNA
- GSM9750574 IPSC-microglia, AD20, sncRNA
- GSM9750575 IPSC-microglia, AD22, sncRNA
- GSE300844 Deciphering the functional impact of Alzheimer’s Disease-associated variants in resting and proinflammatory immune cells 192 samples shares disease-associated, alzheimer
- GSE270387 Single cell profiling of peripheral blood mononuclear cells in diverse men with prostate cancer reveals lethal disease-associated immune signatures 165 samples shares disease-associated, signatures
- GSE271384 The APOE isoforms differentially shape the transcriptomic and epigenomic landscapes of human microglia in a xenotransplantation model of Alzheimer’s disease [ATAC-seq] 20 samples shares microglia, alzheimer
- GSE327711 GPR34 regulation of disease-associated microglial states in iMGL 60 samples shares disease-associated, microglia
- GSE293037 Bulk transcriptome analysis of wildtype, TREM2 knockout, GPR34 knock-out or TREM2/GPR34 double knock-out iPSC-derived human microglia treated either with PBS or myelin. 32 samples shares ipsc-derived, microglia
- GSE333172 Single Cell Transcriptional Signatures of Microglia and Monocytes after ICH 20 samples shares signatures, microglia
- GSE339602 Single-cell RNA sequencing of human iPSC-derived forebrain organoids following amyloid-β42 treatment, microglia co-culture, and maraviroc treatment 16 samples shares ipsc-derived, microglia
- GSE328391 Airway immune signatures of protection and disease progression in recent human tuberculosis household contacts [bulk RNA-seq] 125 samples shares signatures
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.