Microglia are specialized immune cells found in the central nervous system. They are responsible for general homeostatic maintenance, synaptic pruning, and neuronal health. During injury or stress, they also have a role in repair and inflammatory signaling.
Microglial activation is a crucial part of their protective response, inducing pro-inflammatory signaling and phagocytic uptake of protein aggregates and dead cells. Dysregulation of these processes can lead to detrimental effects, including neurodegeneration due to sustained inflammatory signaling and impairment in other functions, including chemotaxis and phagocytosis. Activated microglia can also influence the behavior of other cells, such as astrocytes, potentially amplifying damage when regulation fails.
With more than a decade of experience developing human iPSC‑derived microglia and advanced neural models, our expert team brought together the questions researchers most frequently ask. This blog explores microglial applications across neuroinflammation, Alzheimer’s disease (AD), Amyotrophic lateral sclerosis (ALS), Huntington’s disease (HD), and dry age-related macular degeneration (AMD) modeling, as well as their roles in organoids, co‑cultures, high‑throughput screening, and future directions.
Key takeaways
- iPSC‑derived microglia provide scalable, physiologically relevant models to study neuroinflammation and disease biology across AD, ALS, HD, and dry AMD
- They support robust functional assays, including cytokine profiling, phagocytosis, morphological analysis, and network‑level readouts in co‑cultures
- Introducing disease‑associated variants such as APOE4 or TREM2 enhances mechanistic insight and strengthens disease‑specific drug discoveryco-culture
- Adding microglia to co‑cultures and organoids improves physiological relevance, promotes neuronal maturation, and reveals key cell‑cell interactions
- These models are increasingly suited for high‑throughput screening, including automated 384‑well assay formats
- Future advancements center on integrated 2D/3D multi‑cell systems and single‑cell profiling to better capture microglial heterogeneity and therapeutic targets

