Mouse and human microglial phenotypes in Alzheimer’s disease are controlled by amyloid plaque phagocytosis through Hif1α
暂无分享,去创建一个
John F. Ouyang | E. Petretto | R. Lister | O. Rackham | N. Croft | A. Purcell | C. Pouton | J. Polo | S. Buckberry | Jahnvi Pflueger | C. Mclean | R. Simmons | A. Grubman | Xiaodong Liu | Gui-zhi Sun | S. Chai | Xin Yi Choo | J. Haynes | F. Rossello | Gabriel Chew | Dulce Vargas Landin | Teresa H Vandekolk | Zehra C. Abay | Sarah Williams | Trevor Wilson | C. Mclean | Alexandra Grubman | Zehra C. Abay
[1] Lai Guan Ng,et al. Dimensionality reduction for visualizing single-cell data using UMAP , 2018, Nature Biotechnology.
[2] Melanie A. Huntley,et al. Changes in the Synaptic Proteome in Tauopathy and Rescue of Tau-Induced Synapse Loss by C1q Antibodies , 2018, Neuron.
[3] Emily K. Lehrman,et al. CD47 Protects Synapses from Excess Microglia-Mediated Pruning during Development , 2018, Neuron.
[4] Joseph R. Scarpa,et al. Epigenetic regulation of brain region-specific microglia clearance activity , 2018, Nature Neuroscience.
[5] Panos Roussos,et al. Brain Cell Type Specific Gene Expression and Co-expression Network Architectures , 2018, Scientific Reports.
[6] I. Amit,et al. Disease-Associated Microglia: A Universal Immune Sensor of Neurodegeneration , 2018, Cell.
[7] M. Staufenbiel,et al. Innate immune memory in the brain shapes neurological disease hallmarks , 2018, Nature.
[8] Alzheimer’s Association. 2018 Alzheimer's disease facts and figures , 2018, Alzheimer's & Dementia.
[9] Charles C. White,et al. A transcriptomic atlas of aged human microglia , 2018, Nature Communications.
[10] B. Barres,et al. Microglia and macrophages in brain homeostasis and disease , 2017, Nature Reviews Immunology.
[11] P. Kharchenko,et al. Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain , 2017, Nature Biotechnology.
[12] Kieran R. Campbell,et al. A descriptive marker gene approach to single-cell pseudotime inference , 2016, bioRxiv.
[13] A. Regev,et al. Temporal Tracking of Microglia Activation in Neurodegeneration at Single-Cell Resolution , 2017, Cell reports.
[14] Markus Glatzel,et al. The TREM2-APOE Pathway Drives the Transcriptional Phenotype of Dysfunctional Microglia in Neurodegenerative Diseases. , 2017, Immunity.
[15] R. Feil,et al. Microglia turnover with aging and in an Alzheimer's model via long-term in vivo single-cell imaging , 2017, Nature Neuroscience.
[16] Aviv Regev,et al. Massively-parallel single nucleus RNA-seq with DroNc-seq , 2017, Nature Methods.
[17] Zheng-Xiong Xi,et al. Local Cues Establish and Maintain Region-Specific Phenotypes of Basal Ganglia Microglia , 2017, Neuron.
[18] John L. Robinson,et al. TDP-43 Depletion in Microglia Promotes Amyloid Clearance but Also Induces Synapse Loss , 2017, Neuron.
[19] Ence Yang,et al. Systematic analysis of gene expression patterns associated with postmortem interval in human tissues , 2017, Scientific Reports.
[20] R. Leite,et al. Transcriptomic analysis of purified human cortical microglia reveals age-associated changes , 2017, Nature Neuroscience.
[21] P. Deyn,et al. Immune hyperreactivity of Aβ plaque-associated microglia in Alzheimer's disease , 2017, Neurobiology of Aging.
[22] Baptiste N. Jaeger,et al. An environment-dependent transcriptional network specifies human microglia identity , 2017, Science.
[23] I. Amit,et al. A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease , 2017, Cell.
[24] Beth Stevens,et al. Complement C3 deficiency protects against neurodegeneration in aged plaque-rich APP/PS1 mice , 2017, Science Translational Medicine.
[25] J. Aerts,et al. SCENIC: Single-cell regulatory network inference and clustering , 2017, Nature Methods.
[26] F. C. Bennett,et al. Diverse Requirements for Microglial Survival, Specification, and Function Revealed by Defined-Medium Cultures , 2017, Neuron.
[27] Michael D. Cahalan,et al. iPSC-Derived Human Microglia-like Cells to Study Neurological Diseases , 2017, Neuron.
[28] L. J. K. Wee,et al. Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors , 2017, Nature Genetics.
[29] Caleb Weinreb,et al. SPRING: a kinetic interface for visualizing high dimensional single-cell expression data , 2017, bioRxiv.
[30] W. Wan,et al. Intranasal BMP9 Ameliorates Alzheimer Disease-Like Pathology and Cognitive Deficits in APP/PS1 Transgenic Mice , 2017, Front. Mol. Neurosci..
[31] R. Ransohoff,et al. Disease Progression-Dependent Effects of TREM2 Deficiency in a Mouse Model of Alzheimer's Disease , 2017, The Journal of Neuroscience.
[32] M. Schaub,et al. SC3 - consensus clustering of single-cell RNA-Seq data , 2016, Nature Methods.
[33] Martin Hemberg,et al. Modelling dropouts allows for unbiased identification of marker genes in scRNASeq experiments , 2016 .
[34] Charles Girardot,et al. Je, a versatile suite to handle multiplexed NGS libraries with unique molecular identifiers , 2016, BMC Bioinformatics.
[35] J. Grutzendler,et al. TREM2 Haplodeficiency in Mice and Humans Impairs the Microglia Barrier Function Leading to Decreased Amyloid Compaction and Severe Axonal Dystrophy , 2016, Neuron.
[36] E. Hol,et al. Transcriptional profiling of CD11c-positive microglia accumulating around amyloid plaques in a mouse model for Alzheimer's disease. , 2016, Biochimica et biophysica acta.
[37] T. Malm,et al. Multitasking Microglia and Alzheimer’s Disease: Diversity, Tools and Therapeutic Targets , 2016, Journal of Molecular Neuroscience.
[38] Davis J. McCarthy,et al. A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor , 2016, F1000Research.
[39] Aaron T. L. Lun,et al. Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R , 2017, Bioinform..
[40] Luca Scrucca,et al. mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models , 2016, R J..
[41] Lino C. Gonzalez,et al. TREM2 Binds to Apolipoproteins, Including APOE and CLU/APOJ, and Thereby Facilitates Uptake of Amyloid-Beta by Microglia , 2016, Neuron.
[42] J. Grutzendler,et al. TREM2 Haplodeficiency in Mice and Humans Impairs the Microglia Barrier Function Leading to Decreased Amyloid Compaction and Severe Axonal Dystrophy , 2016, Neuron.
[43] Ben A. Barres,et al. Complement and microglia mediate early synapse loss in Alzheimer mouse models , 2016, Science.
[44] D. Holtzman,et al. TREM2-mediated early microglial response limits diffusion and toxicity of amyloid plaques , 2016, The Journal of experimental medicine.
[45] Shuqiang Li,et al. CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq , 2016, Genome Biology.
[46] Hedi Peterson,et al. g:Profiler—a web server for functional interpretation of gene lists (2016 update) , 2016, Nucleic Acids Res..
[47] Tom H. Cheung,et al. IL-33 ameliorates Alzheimer’s disease-like pathology and cognitive decline , 2016, Proceedings of the National Academy of Sciences.
[48] Yoshihide Hayashizaki,et al. A predictive computational framework for direct reprogramming between human cell types , 2016, Nature Genetics.
[49] Mariana Vargas-Caballero,et al. Pharmacological targeting of CSF1R inhibits microglial proliferation and prevents the progression of Alzheimer’s-like pathology , 2016, Brain : a journal of neurology.
[50] Tom Michoel,et al. Microglial brain region-dependent diversity and selective regional sensitivities to ageing , 2015, Nature Neuroscience.
[51] R. Ransohoff,et al. Disease progression-dependent effects of TREM2 deficiency in a mouse model of Alzheimer's disease. , 2016, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[52] N. Hooper,et al. Amyloid-β Receptors: The Good, the Bad, and the Prion Protein* , 2015, The Journal of Biological Chemistry.
[53] Mauricio Barahona,et al. SC3 - consensus clustering of single-cell RNA-Seq data , 2016, Nature Methods.
[54] M. Meyer-Luehmann,et al. Forebrain microglia from wild-type but not adult 5xFAD mice prevent amyloid-β plaque formation in organotypic hippocampal slice cultures , 2015, Scientific Reports.
[55] Sarah A Teichmann,et al. Computational assignment of cell-cycle stage from single-cell transcriptome data. , 2015, Methods.
[56] S. Quake,et al. A survey of human brain transcriptome diversity at the single cell level , 2015, Proceedings of the National Academy of Sciences.
[57] Pietro Liò,et al. The BioMart community portal: an innovative alternative to large, centralized data repositories , 2015, Nucleic Acids Res..
[58] Jürgen Götz,et al. Scanning ultrasound removes amyloid-β and restores memory in an Alzheimer’s disease mouse model , 2015, Science Translational Medicine.
[59] R. Ransohoff,et al. TREM2 deficiency eliminates TREM2+ inflammatory macrophages and ameliorates pathology in Alzheimer’s disease mouse models , 2015, The Journal of experimental medicine.
[60] S. Linnarsson,et al. Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq , 2015, Science.
[61] D. Holtzman,et al. TREM2 lipid sensing sustains microglia response in an Alzheimer’s disease model , 2015, Cell.
[62] A. Regev,et al. Spatial reconstruction of single-cell gene expression , 2015, Nature Biotechnology.
[63] Manolis Kellis,et al. Conserved epigenomic signals in mice and humans reveal immune basis of Alzheimer’s disease , 2015, Nature.
[64] J. Grutzendler,et al. Microglia constitute a barrier that prevents neurotoxic protofibrillar Aβ42 hotspots around plaques , 2014, Nature Communications.
[65] W. Huber,et al. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 , 2014, Genome Biology.
[66] M. Phillips. Apolipoprotein E isoforms and lipoprotein metabolism , 2014, IUBMB life.
[67] J. Simpkins,et al. mTOR Signaling Inhibition Modulates Macrophage/Microglia-Mediated Neuroinflammation and Secondary Injury via Regulatory T Cells after Focal Ischemia , 2014, The Journal of Immunology.
[68] Björn Usadel,et al. Trimmomatic: a flexible trimmer for Illumina sequence data , 2014, Bioinform..
[69] Andreas Krämer,et al. Causal analysis approaches in Ingenuity Pathway Analysis , 2013, Bioinform..
[70] Wei Shi,et al. featureCounts: an efficient general purpose program for assigning sequence reads to genomic features , 2013, Bioinform..
[71] J. Blusztajn,et al. BMP9 ameliorates amyloidosis and the cholinergic defect in a mouse model of Alzheimer’s disease , 2013, Proceedings of the National Academy of Sciences.
[72] Toshiro K. Ohsumi,et al. The Microglial Sensome Revealed by Direct RNA Sequencing , 2013, Nature Neuroscience.
[73] Matthew D. Schultz,et al. Global Epigenomic Reconfiguration During Mammalian Brain Development , 2013, Science.
[74] Bradley T. Hyman,et al. Alzheimer’s Disease Risk Gene CD33 Inhibits Microglial Uptake of Amyloid Beta , 2013, Neuron.
[75] Sean C. Bendall,et al. viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia , 2013, Nature Biotechnology.
[76] L. Tran,et al. Integrated Systems Approach Identifies Genetic Nodes and Networks in Late-Onset Alzheimer’s Disease , 2013, Cell.
[77] C. Rowe,et al. Amyloid β deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer's disease: a prospective cohort study , 2013, The Lancet Neurology.
[78] A. Singleton,et al. TREM2 variants in Alzheimer's disease. , 2013, The New England journal of medicine.
[79] M. Heneka,et al. NLRP3 is activated in Alzheimer´s disease and contributes to pathology in APP/PS1 mice , 2012, Nature.
[80] Thomas R. Gingeras,et al. STAR: ultrafast universal RNA-seq aligner , 2013, Bioinform..
[81] Verena D. Schmittmann,et al. Qgraph: Network visualizations of relationships in psychometric data , 2012 .
[82] J. McCluskey,et al. Immune self-reactivity triggered by drug-modified HLA-peptide repertoire , 2012, Nature.
[83] Edward O. Mann,et al. Inhibitory Interneuron Deficit Links Altered Network Activity and Cognitive Dysfunction in Alzheimer Model , 2012, Cell.
[84] John Chilton,et al. Using iRT, a normalized retention time for more targeted measurement of peptides , 2012, Proteomics.
[85] Ludovic C. Gillet,et al. Targeted Data Extraction of the MS/MS Spectra Generated by Data-independent Acquisition: A New Concept for Consistent and Accurate Proteome Analysis* , 2012, Molecular & Cellular Proteomics.
[86] M. Giustetto,et al. Synaptic Pruning by Microglia Is Necessary for Normal Brain Development , 2011, Science.
[87] Robert Lalonde,et al. MyD88 deficiency ameliorates β-amyloidosis in an animal model of Alzheimer's disease. , 2011, The American journal of pathology.
[88] R. Ransohoff,et al. CX3CR1 Protein Signaling Modulates Microglial Activation and Protects against Plaque-independent Cognitive Deficits in a Mouse Model of Alzheimer Disease* , 2011, The Journal of Biological Chemistry.
[89] D. G. Clark,et al. Common variants in MS4A4/MS4A6E, CD2uAP, CD33, and EPHA1 are associated with late-onset Alzheimer’s disease , 2011, Nature Genetics.
[90] Nick C Fox,et al. Common variants in ABCA7, MS4A6A/MS4A4E, EPHA1, CD33 and CD2AP are associated with Alzheimer’s disease , 2011, Nature Genetics.
[91] Robert A. Edwards,et al. Quality control and preprocessing of metagenomic datasets , 2011, Bioinform..
[92] Jean-Philippe Michaud,et al. MyD88-adaptor protein acts as a preventive mechanism for memory deficits in a mouse model of Alzheimer's disease , 2011, Molecular Neurodegeneration.
[93] Richard M. Page,et al. Microglial Cx3cr1 knockout prevents neuron loss in a mouse model of Alzheimer's disease , 2010, Nature Neuroscience.
[94] Brendan MacLean,et al. Bioinformatics Applications Note Gene Expression Skyline: an Open Source Document Editor for Creating and Analyzing Targeted Proteomics Experiments , 2022 .
[95] Mark D. Robinson,et al. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data , 2009, Bioinform..
[96] Kristina D. Micheva,et al. Oligomeric amyloid β associates with postsynaptic densities and correlates with excitatory synapse loss near senile plaques , 2009, Proceedings of the National Academy of Sciences.
[97] Christian von Mering,et al. STRING 8—a global view on proteins and their functional interactions in 630 organisms , 2008, Nucleic Acids Res..
[98] Christoph Lange,et al. Genome-wide association analysis reveals putative Alzheimer's disease susceptibility loci in addition to APOE. , 2008, American journal of human genetics.
[99] S. DeKosky,et al. Post-mortem correlates of in vivo PiB-PET amyloid imaging in a typical case of Alzheimer's disease , 2008, Brain : a journal of neurology.
[100] K. Cheng. [[5'-(4-Hydroxyphenyl)[2,2’-bithiophen]-5-yl]methylene]-propanedinitrile : NIAD-4 , 2007 .
[101] R. Ransohoff,et al. Isolation of murine microglial cells for RNA analysis or flow cytometry , 2006, Nature Protocols.
[102] M. Ohno,et al. Intraneuronal β-Amyloid Aggregates, Neurodegeneration, and Neuron Loss in Transgenic Mice with Five Familial Alzheimer's Disease Mutations: Potential Factors in Amyloid Plaque Formation , 2006, The Journal of Neuroscience.
[103] F. Schmitt,et al. Hippocampal synaptic loss in early Alzheimer's disease and mild cognitive impairment , 2006, Neurobiology of Aging.
[104] P. Caroni,et al. Preparation of organotypic hippocampal slice cultures for long-term live imaging , 2006, Nature Protocols.
[105] T. Kielian,et al. Central Role for MyD88 in the Responses of Microglia to Pathogen-Associated Molecular Patterns1 , 2006, The Journal of Immunology.
[106] M. Selsted,et al. Mammalian defensins in the antimicrobial immune response , 2005, Nature Immunology.