Description
Human post-mortem brain samples were obtained from the Netherlands Brain Bank (NBB) and the Neuropathology Brain Bank and Research CoRE at Mount Sinai Hospital. The permission to collect human brain material was obtained from the Ethical Committee of the VU University Medical Center, Amsterdam, The Netherlands, and the Mount Sinai Institutional Review Board. For the Netherlands Brain bank, informed consent for autopsy, the use of brain tissue and accompanied clinical information for research purposes was obtained per donor ante-mortem.
PI
Towfique Raj, Ph.D.
Icahn School of Medicine at Mount Sinai Hospital
Related Datasets
- Microglia Genomic Atlas – MiGA (NG00105.v1): Post-mortem brain samples were obtained from the Netherlands Brain Bank (NBB). The permission to collect human brain material was obtained from the Ethical Committee…
Related Sample Sets
- The Microglia Genomic Atlas (MiGA) is a genetic and transcriptomic resource comprised of 255 primary human microglia samples isolated ex vivo from four different brain regions of 100 human subjects…
- MiGASTi is an atlas of human microglia gene expression following cell culture and exposure to a range of inflammatory stimulations. Post-mortem brain samples were obtained from the Netherlands Brain Bank…
Cohorts
- The Netherlands Brain Bank (NBB) collects and characterizes human brain tissue of registered donors with and without neurological and psychiatric disorders. CNS research samples are accompanied by an anonymized summary…
- Research conducted using human post-mortem brain tissue remains a critical component of translational brain research programs. To meet the urgent need for this precious resource, the Neuropathology Brain Bank and…
Grants
This work was supported by grants from the US National Institutes of Health (NIH NIA R21-AG063130, NIA R01- AG054005, NIA U01-AG068880, and NIA R56-AG055824). Research reported in this paper was supported by the Office of Research Infrastructure of the National Institutes of Health under award number S10OD026880.
Acknowledgement
Acknowledgment statement for any data distributed by NIAGADS:
Data for this study were prepared, archived, and distributed by the National Institute on Aging Alzheimer's Disease Data Storage Site (NIAGADS) at the University of Pennsylvania (U24-AG041689), funded by the National Institute on Aging.
For investigators using MiGA – Microglia Genomic Atlas data:
We thank members of the Raj and de Witte labs for their feedback on the manuscript. This work was supported by grants from the US National Institutes of Health (NIH NIA R21-AG063130, NIA R01- AG054005, NIA U01-AG068880, and NIA R56-AG055824). 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. Research reported in this paper was supported by the Office of Research Infrastructure of the National Institutes of Health under award number S10OD026880. The authors thank Michael Chao for his assistance with genotyping QC. The authors thank the teams of the Netherlands Brain Bank and the Mount Sinai Neuropathology Brain Bank and Research CoRE for their services. We thank the study participants for their generous gifts of brain donation. The microglia were isolated through the efforts of a large team and we would like to thank Manja Litjens, Roland D. van Dijk, Alba Fernández-Andreu, Paul R. Ormel, Hans C. van Mierlo, Y. He, Stephanie Gumbs, Miriam E van Strien, Saskia Burm, Vanessa Donega, and Elly M. Hol for all their contributions to this effort. Gijsje Snijders was supported through ZonMw and the foundation “De Drie Lichten” in the Netherlands. Elisa Navarro was supported by Ramon Areces fellowship.
Related Publications
Gijsje J.L.J. Snijders, et al. The human microglia responsome: a resource to better understand microglia states in health and disease. bioRxiv, 2020. Preprint.
Jack Humphrey, et al. Long-read RNA-seq atlas of novel microglia isoforms elucidates disease-associated genetic regulation of splicing. medRxiv, 2020. Preprint.
Katia De Paiva Lopes, et al. Atlas of genetic effects in human microglia transcriptome across brain regions, aging and disease pathologies. Nature Genetics, 2022. Link.