Spatial Transcriptomics and In Situ Sequencing to Study Alzheimer’s Disease

Although complex inflammatory-like alterations are observed around the amyloid plaques of Alzheimer's disease (AD), little is known about the molecular changes and cellular interactions that characterize this response. We investigate here, in an AD mouse model, the transcriptional changes occurring in tissue domains in a 100-μm diameter around amyloid plaques using spatial transcriptomics. We demonstrate early alterations in a gene co-expression network enriched for myelin and oligodendrocyte genes (OLIGs), whereas a multicellular gene co-expression network of plaque-induced genes (PIGs) involving the complement system, oxidative stress, lysosomes, and inflammation is prominent in the later phase of the disease. We confirm the majority of the observed alterations at the cellular level using in situ sequencing on mouse and human brain sections. Genome-wide spatial transcriptomics analysis provides an unprecedented approach to untangle the dysregulated cellular network in the vicinity of pathogenic hallmarks of AD and other brain diseases.

[1]  D. Y. Lee,et al.  Prevalence of cerebral amyloid pathology in persons without dementia: a meta-analysis. , 2015, JAMA.

[2]  M. Kubista,et al.  Heterogeneity of Astrocytes: From Development to Injury – Single Cell Gene Expression , 2013, PloS one.

[3]  Joel Sjöstrand,et al.  ST Pipeline: an automated pipeline for spatial mapping of unique transcripts , 2017, Bioinform..

[4]  Robert B Sim,et al.  Complement C1q Is Dramatically Up-Regulated in Brain Microglia in Response to Transient Global Cerebral Ischemia1 2 , 2000, Journal of Immunology.

[5]  Eric Karran,et al.  The Cellular Phase of Alzheimer’s Disease , 2016, Cell.

[6]  A. Benraiss,et al.  SOX9 Is an Astrocyte-Specific Nuclear Marker in the Adult Brain Outside the Neurogenic Regions , 2017, The Journal of Neuroscience.

[7]  K. Rhodes,et al.  The antibody aducanumab reduces Aβ plaques in Alzheimer’s disease , 2016, Nature.

[8]  B. Morgan,et al.  Complement in the pathogenesis of Alzheimer’s disease , 2017, Seminars in Immunopathology.

[9]  Chris P. Ponting,et al.  Identification of region-specific astrocyte subtypes at single cell resolution , 2020, Nature Communications.

[10]  Philippe Andrey,et al.  MorphoLibJ: integrated library and plugins for mathematical morphology with ImageJ , 2016, Bioinform..

[11]  Charles C. White,et al.  A molecular network of the aging human brain provides insights into the pathology and cognitive decline of Alzheimer’s disease , 2018, Nature Neuroscience.

[12]  Manoj Kumar,et al.  INGE GRUNDKE-IQBAL AWARD FOR ALZHEIMER’S RESEARCH: NEUROTOXIC REACTIVE ASTROCYTES ARE INDUCED BY ACTIVATED MICROGLIA , 2019, Alzheimer's & Dementia.

[13]  Cyril Pernet,et al.  Do 2-year changes in superior frontal gyrus and global brain atrophy affect cognition? , 2018, Alzheimer's & dementia.

[14]  C. Weber,et al.  ApoE attenuates unresolvable inflammation by complex formation with activated C1q , 2019, Nature Medicine.

[15]  F. C. Bennett,et al.  New tools for studying microglia in the mouse and human CNS , 2016, Proceedings of the National Academy of Sciences.

[16]  L. Buée,et al.  Novel Alzheimer risk genes determine the microglia response to amyloid‐β but not to TAU pathology , 2020, EMBO molecular medicine.

[17]  Markus Glatzel,et al.  The TREM2-APOE Pathway Drives the Transcriptional Phenotype of Dysfunctional Microglia in Neurodegenerative Diseases. , 2017, Immunity.

[18]  H. Kettenmann,et al.  C1q, the recognition subcomponent of the classical pathway of complement, drives microglial activation , 2009, Journal of neuroscience research.

[19]  Mauro J. Muraro,et al.  A Single-Cell RNA Sequencing Study Reveals Cellular and Molecular Dynamics of the Hippocampal Neurogenic Niche. , 2017, Cell reports.

[20]  Peter Bankhead,et al.  QuPath: Open source software for digital pathology image analysis , 2017, Scientific Reports.

[21]  H. Braak,et al.  Development of Alzheimer-related neurofibrillary changes in the neocortex inversely recapitulates cortical myelogenesis , 1996, Acta Neuropathologica.

[22]  Brian L. West,et al.  Colony-Stimulating Factor 1 Receptor Signaling Is Necessary for Microglia Viability, Unmasking a Microglia Progenitor Cell in the Adult Brain , 2014, Neuron.

[23]  Israel Steinfeld,et al.  BMC Bioinformatics BioMed Central , 2008 .

[24]  E. Chang,et al.  Purification and Characterization of Progenitor and Mature Human Astrocytes Reveals Transcriptional and Functional Differences with Mouse , 2016, Neuron.

[25]  D. Holtzman,et al.  Loss of TREM2 function increases amyloid seeding but reduces plaque associated ApoE , 2018, Nature Neuroscience.

[26]  Sueli Marques,et al.  Disease-specific oligodendrocyte lineage cells arise in multiple sclerosis , 2018, Nature Medicine.

[27]  Kyle A. Martin,et al.  Oligodendrocyte precursor cells present antigen and are cytotoxic targets in inflammatory demyelination , 2019, Nature Communications.

[28]  Nicola Thrupp,et al.  The Major Risk Factors for Alzheimer’s Disease: Age, Sex, and Genes Modulate the Microglia Response to Aβ Plaques , 2019, Cell reports.

[29]  K. Zahs,et al.  Probing the Biology of Alzheimer's Disease in Mice , 2010, Neuron.

[30]  Maxim N. Artyomov,et al.  Human and mouse single-nucleus transcriptomics reveal TREM2-dependent and - independent cellular responses in Alzheimer’s disease , 2019, Nature Medicine.

[31]  B. Strooper,et al.  The amyloid cascade hypothesis for Alzheimer's disease: an appraisal for the development of therapeutics , 2011, Nature Reviews Drug Discovery.

[32]  Shao Li,et al.  Amyloid precursor protein at node of Ranvier modulates nodal formation , 2014, Cell adhesion & migration.

[33]  F. Edwards,et al.  Genetic variability in response to Aβ deposition influences Alzheimer’s risk , 2018 .

[34]  L. Mucke,et al.  Neurotoxicity of amyloid β-protein: synaptic and network dysfunction. , 2012, Cold Spring Harbor perspectives in medicine.

[35]  G. Halliday,et al.  Apolipoprotein D Upregulation in Alzheimer’s Disease but Not Frontotemporal Dementia , 2018, Journal of Molecular Neuroscience.

[36]  Patrik L. Ståhl,et al.  Visualization and analysis of gene expression in tissue sections by spatial transcriptomics , 2016, Science.

[37]  L. Schneider A resurrection of aducanumab for Alzheimer's disease , 2020, The Lancet Neurology.

[38]  R. Schmidt,et al.  Fc receptors and their interaction with complement in autoimmunity. , 2005, Immunology letters.

[39]  T. Hackett Adenosine A1 Receptor mRNA Expression by Neurons and Glia in the Auditory Forebrain , 2018, Anatomical record.

[40]  H. Braak,et al.  Neuropathological stageing of Alzheimer-related changes , 2004, Acta Neuropathologica.

[41]  Manolis Kellis,et al.  Single-cell transcriptomic analysis of Alzheimer’s disease , 2019, Nature.

[42]  I. Amit,et al.  A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease , 2017, Cell.

[43]  F. Edwards,et al.  A genome-wide gene-expression analysis and database in transgenic mice during development of amyloid or tau pathology. , 2015, Cell reports.

[44]  Kenneth D. Harris,et al.  Probabilistic cell typing enables fine mapping of closely related cell types in situ , 2019, Nature Methods.

[45]  Evan Z. Macosko,et al.  Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution , 2019, Science.

[46]  Mark D. Robinson,et al.  edgeR: a Bioconductor package for differential expression analysis of digital gene expression data , 2009, Bioinform..

[47]  Raphael Gottardo,et al.  Orchestrating high-throughput genomic analysis with Bioconductor , 2015, Nature Methods.

[48]  Johannes E. Schindelin,et al.  Fiji: an open-source platform for biological-image analysis , 2012, Nature Methods.

[49]  Carolina Wählby,et al.  In situ sequencing for RNA analysis in preserved tissue and cells , 2013, Nature Methods.

[50]  Nick C. Fox,et al.  Identification of evolutionarily conserved gene networks mediating neurodegenerative dementia. , 2018, Nature Medicine.

[51]  P. Matthews,et al.  Single nucleus sequencing fails to detect microglial activation in human tissue , 2020, bioRxiv.

[52]  Aviv Regev,et al.  Massively-parallel single nucleus RNA-seq with DroNc-seq , 2017, Nature Methods.

[53]  Nick C Fox,et al.  Clinical and biomarker changes in dominantly inherited Alzheimer's disease. , 2012, The New England journal of medicine.

[54]  L. Tran,et al.  Integrated Systems Approach Identifies Genetic Nodes and Networks in Late-Onset Alzheimer’s Disease , 2013, Cell.

[55]  Wojciech G. Lesniak,et al.  PET imaging of microglia by targeting macrophage colony-stimulating factor 1 receptor (CSF1R) , 2019, Proceedings of the National Academy of Sciences.

[56]  G. Bartzokis Alzheimer's disease as homeostatic responses to age-related myelin breakdown , 2011, Neurobiology of Aging.

[57]  D. Holtzman,et al.  Antibody Therapeutics Targeting Aβ and Tau. , 2017, Cold Spring Harbor perspectives in medicine.

[58]  P. Eikelenboom,et al.  Complement activation in amyloid plaques in Alzheimer’s dementia , 1988, Virchows Archiv. B, Cell pathology including molecular pathology.

[59]  S. Itohara,et al.  Single App knock-in mouse models of Alzheimer's disease , 2014, Nature Neuroscience.

[60]  F. Kametani,et al.  Reconsideration of Amyloid Hypothesis and Tau Hypothesis in Alzheimer's Disease , 2018, Front. Neurosci..

[61]  Allan R. Jones,et al.  Conserved cell types with divergent features in human versus mouse cortex , 2019, Nature.

[62]  H. Braak,et al.  Phases of Aβ-deposition in the human brain and its relevance for the development of AD , 2002, Neurology.

[63]  H. Boddeke,et al.  Brain region-specific gene expression profiles in freshly isolated rat microglia , 2015, Front. Cell. Neurosci..

[64]  Ben A. Barres,et al.  Complement and microglia mediate early synapse loss in Alzheimer mouse models , 2016, Science.

[65]  C. Rowe,et al.  Amyloid β deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer's disease: a prospective cohort study , 2013, The Lancet Neurology.

[66]  Allan R. Jones,et al.  Genome-wide atlas of gene expression in the adult mouse brain , 2007, Nature.

[67]  B. Pakkenberg,et al.  Neocortical glial cell numbers in human brains , 2008, Neurobiology of Aging.

[68]  S. Linnarsson,et al.  Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq , 2015, Science.

[69]  T. Maniatis,et al.  An RNA-Sequencing Transcriptome and Splicing Database of Glia, Neurons, and Vascular Cells of the Cerebral Cortex , 2014, The Journal of Neuroscience.

[70]  Evan Z. Macosko,et al.  Sensitive spatial genome wide expression profiling at cellular resolution , 2020, bioRxiv.

[71]  S. Horvath,et al.  Statistical Applications in Genetics and Molecular Biology , 2011 .

[72]  J. Hanson,et al.  Microglia in Alzheimer’s disease , 2018, The Journal of cell biology.

[73]  Richard Bonneau,et al.  High-definition spatial transcriptomics for in situ tissue profiling , 2019, Nature Methods.

[74]  Timothy J. Hohman,et al.  Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk , 2019, Nature Genetics.

[75]  N. Thielens,et al.  C1q: A fresh look upon an old molecule. , 2017, Molecular immunology.

[76]  B. Barres,et al.  Genomic Analysis of Reactive Astrogliosis , 2012, The Journal of Neuroscience.

[77]  P. Mcgeer,et al.  Activation of the classical complement pathway in brain tissue of Alzheimer patients , 1989, Neuroscience Letters.

[78]  Enrico Petretto,et al.  A single-cell atlas of entorhinal cortex from individuals with Alzheimer’s disease reveals cell-type-specific gene expression regulation , 2019, Nature Neuroscience.

[79]  M. Gorospe,et al.  Senolytic therapy alleviates Aβ-associated oligodendrocyte progenitor cell senescence and cognitive deficits in an Alzheimer’s disease model , 2019, Nature Neuroscience.

[80]  J. Morris,et al.  A single-nuclei RNA sequencing study of Mendelian and sporadic AD in the human brain , 2019, Alzheimer's Research & Therapy.

[81]  Kun Zhang,et al.  A comparative strategy for single-nucleus and single-cell transcriptomes confirms accuracy in predicted cell-type expression from nuclear RNA , 2017, Scientific Reports.

[82]  Catherine E. Braine,et al.  Spatiotemporal dynamics of molecular pathology in amyotrophic lateral sclerosis , 2018, Science.

[83]  D. Holtzman,et al.  Alzheimer Disease: An Update on Pathobiology and Treatment Strategies , 2019, Cell.

[84]  A. van Oudenaarden,et al.  Single-cell sequencing reveals dissociation-induced gene expression in tissue subpopulations , 2017, Nature Methods.

[85]  R. C. Collins,et al.  Histochemical changes in enzymes of energy metabolism in the dentate gyrus accompany deafferentation and synaptic reorganization , 1989, Neuroscience.

[86]  Panos Roussos,et al.  Brain Cell Type Specific Gene Expression and Co-expression Network Architectures , 2018, Scientific Reports.

[87]  Allan R. Jones,et al.  Shared and distinct transcriptomic cell types across neocortical areas , 2018, Nature.

[88]  S. Linnarsson,et al.  Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing , 2014, Nature Neuroscience.

[89]  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.

[90]  N. Neff,et al.  Developmental Heterogeneity of Microglia and Brain Myeloid Cells Revealed by Deep Single-Cell RNA Sequencing , 2018, Neuron.

[91]  Guo-Cheng Yuan,et al.  Transcriptome-scale super-resolved imaging in tissues by RNA seqFISH+ , 2019, Nature.

[92]  N. Robakis Are Aβ and Its Derivatives Causative Agents or Innocent Bystanders in AD? , 2010, Neurodegenerative Diseases.

[93]  P. Scheltens,et al.  White matter lesions on magnetic resonance imaging in clinically diagnosed Alzheimer's disease. Evidence for heterogeneity. , 1992, Brain : a journal of neurology.