- Dolan, Michael-John;
- Therrien, Martine;
- Jereb, Saša;
- Kamath, Tushar;
- Gazestani, Vahid;
- Atkeson, Trevor;
- Marsh, Samuel E;
- Goeva, Aleksandrina;
- Lojek, Neal M;
- Murphy, Sarah;
- White, Cassandra M;
- Joung, Julia;
- Liu, Bingxu;
- Limone, Francesco;
- Eggan, Kevin;
- Hacohen, Nir;
- Bernstein, Bradley E;
- Glass, Christopher K;
- Leinonen, Ville;
- Blurton-Jones, Mathew;
- Zhang, Feng;
- Epstein, Charles B;
- Macosko, Evan Z;
- Stevens, Beth
Microglia, the macrophages of the brain parenchyma, are key players in neurodegenerative diseases such as Alzheimer's disease. These cells adopt distinct transcriptional subtypes known as states. Understanding state function, especially in human microglia, has been elusive owing to a lack of tools to model and manipulate these cells. Here, we developed a platform for modeling human microglia transcriptional states in vitro. We found that exposure of human stem-cell-differentiated microglia to synaptosomes, myelin debris, apoptotic neurons or synthetic amyloid-beta fibrils generated transcriptional diversity that mapped to gene signatures identified in human brain microglia, including disease-associated microglia, a state enriched in neurodegenerative diseases. Using a new lentiviral approach, we demonstrated that the transcription factor MITF drives a disease-associated transcriptional signature and a highly phagocytic state. Together, these tools enable the manipulation and functional interrogation of human microglial states in both homeostatic and disease-relevant contexts.