Literature DB >> 30758077

A core transcriptional signature of human microglia: Derivation and utility in describing region-dependent alterations associated with Alzheimer's disease.

Anirudh Patir1, Barbara Shih1, Barry W McColl1,2, Tom C Freeman1.   

Abstract

Growing recognition of the pivotal role microglia play in neurodegenerative and neuroinflammatory disorders has accentuated the need to characterize their function in health and disease. Studies in mouse have applied transcriptome-wide profiling of microglia to reveal key features of microglial ontogeny, functional profile, and phenotypic diversity. While similar, human microglia exhibit clear differences to their mouse counterparts, underlining the need to develop a better understanding of the human microglial profile. On examining published microglia gene signatures, limited consistency was observed between studies. Hence, we sought to derive a core microglia signature of the human central nervous system (CNS), through a comprehensive analysis of existing transcriptomic datasets. Nine datasets derived from cells and tissues, isolated from various regions of the CNS across numerous donors, were subjected independently to an unbiased correlation network analysis. From each dataset, a list of coexpressing genes corresponding to microglia was identified, with 249 genes highly conserved between them. This core signature included known microglial markers, and compared with other signatures provides a gene set specific to microglia in the context of the CNS. The utility of this signature was demonstrated by its use in detecting qualitative and quantitative region-specific alterations in aging and Alzheimer's disease. These analyses highlighted the reactive response of microglia in vulnerable brain regions such as the entorhinal cortex and hippocampus, additionally implicating pathways associated with disease progression. We believe this resource and the analyses described here, will support further investigations to the contribution of human microglia in CNS health and disease.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  Alzheimer's; aging; microglia; neurodegenerative disease; transcriptome

Mesh:

Year:  2019        PMID: 30758077     DOI: 10.1002/glia.23572

Source DB:  PubMed          Journal:  Glia        ISSN: 0894-1491            Impact factor:   7.452


  16 in total

1.  Genetic analysis of the human microglial transcriptome across brain regions, aging and disease pathologies.

Authors:  Katia de Paiva Lopes; Gijsje J L Snijders; Jack Humphrey; Lot D de Witte; Towfique Raj; Amanda Allan; Marjolein A M Sneeboer; Elisa Navarro; Brian M Schilder; Ricardo A Vialle; Madison Parks; Roy Missall; Welmoed van Zuiden; Frederieke A J Gigase; Raphael Kübler; Amber Berdenis van Berlekom; Emily M Hicks; Chotima Bӧttcher; Josef Priller; René S Kahn
Journal:  Nat Genet       Date:  2022-01-06       Impact factor: 41.307

Review 2.  Human microglial models to study HIV infection and neuropathogenesis: a literature overview and comparative analyses.

Authors:  Lot D de Witte; Monique Nijhuis; Stephanie B H Gumbs; Raphael Kübler; Lavina Gharu; Pauline J Schipper; Anne L Borst; Gijsje J L J Snijders; Paul R Ormel; Amber Berdenis van Berlekom; Annemarie M J Wensing
Journal:  J Neurovirol       Date:  2022-02-09       Impact factor: 3.739

3.  The transcriptional signature associated with human motile cilia.

Authors:  Anirudh Patir; Amy M Fraser; Mark W Barnett; Lynn McTeir; Joe Rainger; Megan G Davey; Tom C Freeman
Journal:  Sci Rep       Date:  2020-07-02       Impact factor: 4.379

Review 4.  Transcriptional Networks of Microglia in Alzheimer's Disease and Insights into Pathogenesis.

Authors:  Gabriel Chew; Enrico Petretto
Journal:  Genes (Basel)       Date:  2019-10-12       Impact factor: 4.096

5.  Machine learning identifies candidates for drug repurposing in Alzheimer's disease.

Authors:  Steve Rodriguez; Clemens Hug; Petar Todorov; Nienke Moret; Sarah A Boswell; Kyle Evans; George Zhou; Nathan T Johnson; Bradley T Hyman; Peter K Sorger; Mark W Albers; Artem Sokolov
Journal:  Nat Commun       Date:  2021-02-15       Impact factor: 14.919

6.  Combinatorial analyses reveal cellular composition changes have different impacts on transcriptomic changes of cell type specific genes in Alzheimer's Disease.

Authors:  Travis S Johnson; Shunian Xiang; Tianhan Dong; Zhi Huang; Michael Cheng; Tianfu Wang; Kai Yang; Dong Ni; Kun Huang; Jie Zhang
Journal:  Sci Rep       Date:  2021-01-11       Impact factor: 4.379

7.  A loss of mature microglial markers without immune activation in schizophrenia.

Authors:  Gijsje J L J Snijders; Welmoed van Zuiden; Marjolein A M Sneeboer; Amber Berdenis van Berlekom; Astrid T van der Geest; Tatiana Schnieder; Donald J MacIntyre; Elly M Hol; René S Kahn; Lot D de Witte
Journal:  Glia       Date:  2021-01-07       Impact factor: 7.452

8.  Clonally Focused Public and Private T Cells in Resected Brain Tissue From Surgeries to Treat Children With Intractable Seizures.

Authors:  Julia W Chang; Samuel D Reyes; Emmanuelle Faure-Kumar; Sandi K Lam; Michael W Lawlor; Richard J Leventer; Sean M Lew; Paul J Lockhart; Kathryn Pope; Howard L Weiner; Noriko Salamon; Harry V Vinters; Gary W Mathern; Aria Fallah; Geoffrey C Owens
Journal:  Front Immunol       Date:  2021-04-06       Impact factor: 8.786

9.  Diverse human astrocyte and microglial transcriptional responses to Alzheimer's pathology.

Authors:  Amy M Smith; Karen Davey; Stergios Tsartsalis; Combiz Khozoie; Nurun Fancy; See Swee Tang; Eirini Liaptsi; Maria Weinert; Aisling McGarry; Robert C J Muirhead; Steve Gentleman; David R Owen; Paul M Matthews
Journal:  Acta Neuropathol       Date:  2021-11-12       Impact factor: 17.088

Review 10.  Diversity of transcriptomic microglial phenotypes in aging and Alzheimer's disease.

Authors:  Delphine Boche; Marcia N Gordon
Journal:  Alzheimers Dement       Date:  2021-07-05       Impact factor: 16.655

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