Ling E, Nemesh J, Goldman M, et al. A concerted neuron-astrocyte program declines in ageing and schizophrenia. Nature. 2024. doi:10.1038/s41586-024-07109-5PubMedDOIGoogle Scholar
Stanley Center for Psychiatric Research
Farsi Z, Nicolella A, Simmons SK, et al. Brain-region-specific changes in neurons and glia and dysregulation of dopamine signaling in Grin2a mutant mice. Neuron. 2023. doi:10.1016/j.neuron.2023.08.004PubMedDOIGoogle Scholar
Aryal S, Bonanno K, Song B, et al. Deep proteomics identifies shared molecular pathway alterations in synapses of patients with schizophrenia and bipolar disorder and mouse model. Cell reports. 2023;42(5):112497. doi:10.1016/j.celrep.2023.112497PubMedDOIGoogle Scholar
Huang Q, Chen AT, Chan KY, et al. Targeting AAV vectors to the central nervous system by engineering capsid-receptor interactions that enable crossing of the blood-brain barrier. PLoS biology. 2023;21(7):e3002112. doi:10.1371/journal.pbio.3002112PubMedDOIGoogle Scholar
Krainc D, Martin WJ, Casey B, et al. Shifting the trajectory of therapeutic development for neurological and psychiatric disorders. Science translational medicine. 2023;15(720):eadg4775. doi:10.1126/scitranslmed.adg4775PubMedDOIGoogle Scholar
Langlieb J, Sachdev NS, Balderrama KS, et al. The molecular cytoarchitecture of the adult mouse brain. Nature. 2023;624(7991):333-342. doi:10.1038/s41586-023-06818-7PubMedDOIGoogle Scholar
Zeng H, Huang J, Zhou H, et al. Integrative in situ mapping of single-cell transcriptional states and tissue histopathology in a mouse model of Alzheimer’s disease. Nature neuroscience. 2023. doi:10.1038/s41593-022-01251-xPubMedDOIGoogle Scholar
Shi H, He Y, Zhou Y, et al. Spatial atlas of the mouse central nervous system at molecular resolution. Nature. 2023. doi:10.1038/s41586-023-06569-5PubMedDOIGoogle Scholar
Stogsdill JA, Kim K, Binan L, Farhi SL, Levin JZ, Arlotta P. Pyramidal neuron subtype diversity governs microglia states in the neocortex. Nature. 2022. doi:10.1038/s41586-022-05056-7PubMedDOIGoogle Scholar
Ruan Y, Lin YF, Feng YCA, et al. Improving polygenic prediction in ancestrally diverse populations. Nat Genet. 2022. doi:10.1038/s41588-022-01054-7PubMedDOIGoogle Scholar