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

Autor: Andrew F. Teich, Danielle Dionne, Philip L. De Jager, Aviv Regev, Julie A. Schneider, Roman Sankowski, Jean Paul Vonsattel, Jeffrey Helgager, Jeffrey A. Golden, Marta Olah, Rani A. Sarkis, Dominic Grün, Vilas Menon, Wassim Elyaman, Naomi Habib, Elizabeth M. Bradshaw, Guillermo Coronas-Samano, Alexandra Kroshilina, Anthony Khairallah, Mariko Taga, David A. Bennett, Page B. Pennell, Christina J. Yung, Marco Prinz, Yiyi Ma, Garth Rees Cosgrove, Maria Cimpean
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Nature Communications
Nature Communications, Vol 11, Iss 1, Pp 1-18 (2020)
Popis: 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.
Imbalance of microglial phenotypes in the aging brain might underlie their involvement in late onset neurodegenerative diseases. Here we report the population structure of microglia in the aged human brain and the reduction of a particular microglia subset in individuals with Alzheimer’s disease .
Databáze: OpenAIRE