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Single cell RNA sequencing of human microglia uncovers a subset associated with Alzheimer’s disease

Authors :
Massachusetts Institute of Technology. Department of Biology
Howard Hughes Medical Institute
Olah, Marta
Menon, Vilas
Habib, Naomi
Taga, Mariko F
Ma, Yiyi
Yung, Christina J
Cimpean, Maria
Khairallah, Anthony
Coronas-Samano, Guillermo
Sankowski, Roman
Grün, Dominic
Kroshilina, Alexandra A
Dionne, Danielle
Sarkis, Rani A
Cosgrove, Garth R
Helgager, Jeffrey
Golden, Jeffrey A
Pennell, Page B
Prinz, Marco
Vonsattel, Jean Paul G
Teich, Andrew F
Schneider, Julie A
Bennett, David A
Regev, Aviv
Elyaman, Wassim
Bradshaw, Elizabeth M
De Jager, Philip L
Massachusetts Institute of Technology. Department of Biology
Howard Hughes Medical Institute
Olah, Marta
Menon, Vilas
Habib, Naomi
Taga, Mariko F
Ma, Yiyi
Yung, Christina J
Cimpean, Maria
Khairallah, Anthony
Coronas-Samano, Guillermo
Sankowski, Roman
Grün, Dominic
Kroshilina, Alexandra A
Dionne, Danielle
Sarkis, Rani A
Cosgrove, Garth R
Helgager, Jeffrey
Golden, Jeffrey A
Pennell, Page B
Prinz, Marco
Vonsattel, Jean Paul G
Teich, Andrew F
Schneider, Julie A
Bennett, David A
Regev, Aviv
Elyaman, Wassim
Bradshaw, Elizabeth M
De Jager, Philip L
Source :
Nature
Publication Year :
2021

Abstract

© 2020, The Author(s). The extent of microglial heterogeneity in humans remains a central yet poorly explored question in light of the development of therapies targeting this cell type. Here, we investigate the population structure of live microglia purified from human cerebral cortex samples obtained at autopsy and during neurosurgical procedures. Using single cell RNA sequencing, we find that some subsets are enriched for disease-related genes and RNA signatures. We confirm the presence of four of these microglial subpopulations histologically and illustrate the utility of our data by characterizing further microglial cluster 7, enriched for genes depleted in the cortex of individuals with Alzheimer’s disease (AD). Histologically, these cluster 7 microglia are reduced in frequency in AD tissue, and we validate this observation in an independent set of single nucleus data. Thus, our live human microglia identify a range of subtypes, and we prioritize one of these as being altered in AD.

Details

Database :
OAIster
Journal :
Nature
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1286399168
Document Type :
Electronic Resource