Effects of lipopolysaccharide (LPS) or interferon gamma (IFNy) treatment on wild type or PILRA knock-out iPSC-derived human microglia after 24 hours
RNA-seq (gene expression) · human · 30 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Samples
- 30 samples: 30 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
- Loss of PILRA promotes microglial immunometabolism to reduce amyloid pathology in cell and mouse models of Alzheimer's diseaseScience translational medicine · 2025
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 GSE255658_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1076086 and SRA study SRP489536. 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 30 sample titles: 30 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.
- GSM8076718 WT,Untreated,59d
- GSM8076719 WT,LPS,59d
- GSM8076720 WT,IFN,59d
- GSM8076721 KO,Untreated,59d
- GSM8076722 KO,LPS,59d
- GSM8076723 KO,IFN,59d
- GSM8076724 WT,Untreated,63d
- GSM8076725 WT,LPS,63d
- GSM8076726 WT,IFN,63d
- GSM8076727 KO,Untreated,63d
- GSM8076728 KO,LPS,63d
- GSM8076729 KO,IFN,63d
- GSM8076730 WT,Untreated,70d
- GSM8076731 WT,LPS,70d
- GSM8076732 WT,IFN,70d
- GSM8076733 KO,Untreated,70d
- GSM8076734 KO,LPS,70d
- GSM8076735 KO,IFN,70d
- GSM8076736 WT,Untreated,73d
- GSM8076737 WT,LPS,73d
- GSM8076738 WT,IFN,73d
- GSM8076739 KO,Untreated,73d
- GSM8076740 KO,LPS,73d
- GSM8076741 KO,IFN,73d
- GSM8076742 WT,Untreated,77d
- GSM8076743 WT,LPS,77d
- GSM8076744 WT,IFN,77d
- GSM8076745 KO,Untreated,77d
- GSM8076746 KO,LPS,77d
- GSM8076747 KO,IFN,77d
- GSE250249 LPS stimulation of APOE knock-out iPSC-derived microglia with different ApoE isoforms 24 samples shares lps, ipsc-derived, knock-out, microglia
- GSE237489 RNA-seq for iPSC-derived macrophages with/without Lipopolysaccharide (LPS) stimulation. 8 samples shares lps, lipopolysaccharide, ipsc-derived
- 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, knock-out, 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, treatment, microglia
- GSE328566 LPS stimulation reveals male and female dimorphism in human iPSC-derived macrophages 24 samples shares lps, ipsc-derived
- GSE241858 iPSC-derived microglia carrying the TREM2 R47H/+ mutation are pro-inflammatory and promote synapse loss. 35 samples shares ipsc-derived, microglia
- GSE277259 Unique N-glycosylation signatures in human iPSC derived microglia activated by Aβ oligomer and lipopolysaccharide 24 samples shares lipopolysaccharide, microglia
- GSE274283 Bulk RNA sequencing analysis of a iPSC-derived neurons, microglia and astrocytes models of mitochondrial unfolded protein response (UPRmt) activation. 18 samples shares ipsc-derived, microglia
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.