Transcriptional profiling in microglia across physiological and pathological states identifies a transcriptional module associated with neurodegeneration

Microglia are the resident immune cells of the central nervous system and are involved in brain development, homeostasis, and disease. New imaging and genomics technologies are revealing microglial complexity across developmental and functional states, brain regions, and diseases. We curated a set o...

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Published inCommunications biology Vol. 7; no. 1; pp. 1168 - 11
Main Authors Guvenek, Aysegul, Parikshak, Neelroop, Zamolodchikov, Daria, Gelfman, Sahar, Moscati, Arden, Dobbyn, Lee, Stahl, Eli, Shuldiner, Alan, Coppola, Giovanni
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Published London Nature Publishing Group UK 18.09.2024
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Abstract Microglia are the resident immune cells of the central nervous system and are involved in brain development, homeostasis, and disease. New imaging and genomics technologies are revealing microglial complexity across developmental and functional states, brain regions, and diseases. We curated a set of publicly available gene expression datasets from human microglia spanning disease and health to identify sets of genes reflecting physiological and pathological microglial states. We also integrated multiple human microglial single-cell RNA-seq datasets in Alzheimer’s disease (AD), multiple sclerosis (MS), and Parkinson’s disease, and identified a distinct microglial transcriptional signature shared across diseases. Analysis of germ-line DNA identified genes with variants associated with AD and MS that are overrepresented in microglial gene sets, including the disease-associated transcriptional signature. This work points to genes that are dysregulated in disease states and provides a resource for the analysis of diseases in which microglia are implicated by genetic evidence. Analysis of human microglia across health and disease identifies key gene sets in neurodegeneration, offering insights into their role in CNS disorders.
AbstractList Microglia are the resident immune cells of the central nervous system and are involved in brain development, homeostasis, and disease. New imaging and genomics technologies are revealing microglial complexity across developmental and functional states, brain regions, and diseases. We curated a set of publicly available gene expression datasets from human microglia spanning disease and health to identify sets of genes reflecting physiological and pathological microglial states. We also integrated multiple human microglial single-cell RNA-seq datasets in Alzheimer’s disease (AD), multiple sclerosis (MS), and Parkinson’s disease, and identified a distinct microglial transcriptional signature shared across diseases. Analysis of germ-line DNA identified genes with variants associated with AD and MS that are overrepresented in microglial gene sets, including the disease-associated transcriptional signature. This work points to genes that are dysregulated in disease states and provides a resource for the analysis of diseases in which microglia are implicated by genetic evidence.Analysis of human microglia across health and disease identifies key gene sets in neurodegeneration, offering insights into their role in CNS disorders.
Microglia are the resident immune cells of the central nervous system and are involved in brain development, homeostasis, and disease. New imaging and genomics technologies are revealing microglial complexity across developmental and functional states, brain regions, and diseases. We curated a set of publicly available gene expression datasets from human microglia spanning disease and health to identify sets of genes reflecting physiological and pathological microglial states. We also integrated multiple human microglial single-cell RNA-seq datasets in Alzheimer's disease (AD), multiple sclerosis (MS), and Parkinson's disease, and identified a distinct microglial transcriptional signature shared across diseases. Analysis of germ-line DNA identified genes with variants associated with AD and MS that are overrepresented in microglial gene sets, including the disease-associated transcriptional signature. This work points to genes that are dysregulated in disease states and provides a resource for the analysis of diseases in which microglia are implicated by genetic evidence.
Microglia are the resident immune cells of the central nervous system and are involved in brain development, homeostasis, and disease. New imaging and genomics technologies are revealing microglial complexity across developmental and functional states, brain regions, and diseases. We curated a set of publicly available gene expression datasets from human microglia spanning disease and health to identify sets of genes reflecting physiological and pathological microglial states. We also integrated multiple human microglial single-cell RNA-seq datasets in Alzheimer’s disease (AD), multiple sclerosis (MS), and Parkinson’s disease, and identified a distinct microglial transcriptional signature shared across diseases. Analysis of germ-line DNA identified genes with variants associated with AD and MS that are overrepresented in microglial gene sets, including the disease-associated transcriptional signature. This work points to genes that are dysregulated in disease states and provides a resource for the analysis of diseases in which microglia are implicated by genetic evidence. Analysis of human microglia across health and disease identifies key gene sets in neurodegeneration, offering insights into their role in CNS disorders.
Abstract Microglia are the resident immune cells of the central nervous system and are involved in brain development, homeostasis, and disease. New imaging and genomics technologies are revealing microglial complexity across developmental and functional states, brain regions, and diseases. We curated a set of publicly available gene expression datasets from human microglia spanning disease and health to identify sets of genes reflecting physiological and pathological microglial states. We also integrated multiple human microglial single-cell RNA-seq datasets in Alzheimer’s disease (AD), multiple sclerosis (MS), and Parkinson’s disease, and identified a distinct microglial transcriptional signature shared across diseases. Analysis of germ-line DNA identified genes with variants associated with AD and MS that are overrepresented in microglial gene sets, including the disease-associated transcriptional signature. This work points to genes that are dysregulated in disease states and provides a resource for the analysis of diseases in which microglia are implicated by genetic evidence.
Microglia are the resident immune cells of the central nervous system and are involved in brain development, homeostasis, and disease. New imaging and genomics technologies are revealing microglial complexity across developmental and functional states, brain regions, and diseases. We curated a set of publicly available gene expression datasets from human microglia spanning disease and health to identify sets of genes reflecting physiological and pathological microglial states. We also integrated multiple human microglial single-cell RNA-seq datasets in Alzheimer's disease (AD), multiple sclerosis (MS), and Parkinson's disease, and identified a distinct microglial transcriptional signature shared across diseases. Analysis of germ-line DNA identified genes with variants associated with AD and MS that are overrepresented in microglial gene sets, including the disease-associated transcriptional signature. This work points to genes that are dysregulated in disease states and provides a resource for the analysis of diseases in which microglia are implicated by genetic evidence.Microglia are the resident immune cells of the central nervous system and are involved in brain development, homeostasis, and disease. New imaging and genomics technologies are revealing microglial complexity across developmental and functional states, brain regions, and diseases. We curated a set of publicly available gene expression datasets from human microglia spanning disease and health to identify sets of genes reflecting physiological and pathological microglial states. We also integrated multiple human microglial single-cell RNA-seq datasets in Alzheimer's disease (AD), multiple sclerosis (MS), and Parkinson's disease, and identified a distinct microglial transcriptional signature shared across diseases. Analysis of germ-line DNA identified genes with variants associated with AD and MS that are overrepresented in microglial gene sets, including the disease-associated transcriptional signature. This work points to genes that are dysregulated in disease states and provides a resource for the analysis of diseases in which microglia are implicated by genetic evidence.
ArticleNumber 1168
Author Gelfman, Sahar
Shuldiner, Alan
Coppola, Giovanni
Parikshak, Neelroop
Moscati, Arden
Dobbyn, Lee
Stahl, Eli
Zamolodchikov, Daria
Guvenek, Aysegul
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Snippet Microglia are the resident immune cells of the central nervous system and are involved in brain development, homeostasis, and disease. New imaging and genomics...
Abstract Microglia are the resident immune cells of the central nervous system and are involved in brain development, homeostasis, and disease. New imaging and...
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SubjectTerms 38/39
38/43
38/91
631/114/2401
631/378/2596/1953
692/617/375/365
Alzheimer Disease - genetics
Alzheimer Disease - metabolism
Alzheimer Disease - pathology
Alzheimer's disease
Biomedical and Life Sciences
Central nervous system
Disease
Gene expression
Gene Expression Profiling
Gene Regulatory Networks
Genes
Genetic analysis
Genomics
Homeostasis
Humans
Life Sciences
Microglia
Microglia - metabolism
Microglia - pathology
Multiple sclerosis
Multiple Sclerosis - genetics
Multiple Sclerosis - metabolism
Multiple Sclerosis - pathology
Neurodegeneration
Neurodegenerative diseases
Neurodegenerative Diseases - genetics
Neurodegenerative Diseases - metabolism
Neurodegenerative Diseases - pathology
Neuroimaging
Parkinson Disease - genetics
Parkinson Disease - metabolism
Parkinson Disease - pathology
Parkinson's disease
Physiology
Single-Cell Analysis
Transcription
Transcriptome
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Title Transcriptional profiling in microglia across physiological and pathological states identifies a transcriptional module associated with neurodegeneration
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