MiGA - Microglia Genomic Atlas

URL: https://dss.niagads.org/datasets/ng00105/ 

Publications: Lopes, K.d.P., Snijders, G.J.L., Humphrey, J. et al. Genetic analysis of the human microglial transcriptome across brain regions, aging and disease pathologies. Nat Genet 54, 4–17 (2022). https://doi.org/10.1038/s41588-021-00976-y

Funding/Acknowledgements: We thank members of the Raj and de Witte labs for their feedback on the manuscript. We thank the teams of the NBB and Mount Sinai Neuropathology Brain Bank and Research CoRE for their services. We thank the study participants for their generous gifts of brain donation. Microglia were isolated through the efforts of a large team and we thank M. Litjens, R. D. van Dijk, A. Fernández-Andreu, P. R. Ormel, H. C. van Mierlo, Y. He, S. Gumbs, M. E van Strien, S. Burm, V. Donega and E. M. Hol for all their contributions to this effort. We thank M. Chao for his assistance with genotyping quality control. This work was supported in part through the computational and data resources and staff expertise provided by Scientific Computing at the Icahn School of Medicine at Mount Sinai. The research reported in this paper was supported by the Office of Research Infrastructure of the National Institutes of Health (NIH) under award no. S10OD026880. T.R. is supported by grants from the NIH (nos. NIA R21-AG063130, NIA R01-AG054005, NIA U01-AG068880, NIA RF1-AG065926, NIA R56-AG055824 and NINDS R01-NS116006). G.S. was supported through ZonMw and the foundation ‘De Drie Lichten’ in the Netherlands. E.N. was supported by a Ramon Areces fellowship. The funders had no role in study design, data collection and analysis, decision to publish or manuscript preparation.