Axon degeneration and functional decline in myelin diseases are often attributed to loss of myelin but their relation is not fully understood. Perturbed myelinating glia can instigate chronic neuroinflammation and contribute to demyelination and axonal damage. Here we study mice with distinct defects in the proteolipid protein 1 gene that develop axonal damage which is driven by cytotoxic T cells targeting myelinating oligodendrocytes. We show that persistent ensheathment with perturbed myelin poses a risk for axon degeneration, neuron loss, and behavioral decline. We demonstrate that CD8+ T cell-driven axonal damage is less likely to progress towards degeneration when axons are efficiently demyelinated by activated microglia. Mechanistically, we show that cytotoxic T cell effector molecules induce cytoskeletal alterations within myelinating glia and aberrant actomyosin constriction of axons at paranodal domains. Our study identifies detrimental axon-glia-immune interactions which promote neurodegeneration and possible therapeutic targets for disorders associated with myelin defects and neuroinflammation.
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Created: 27th Jun 2024 at 11:59
Last updated: 11th Oct 2024 at 10:06
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Projects: Published Datasets, Unpublished Datasets
Institutions: LMU Klinikum
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Institutions: DZNE
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This project serves as a centralized repository for omics datasets published by research groups within the SyNergy Cluster. It encompasses investigations such as proteomics and transcriptomics, which are further divided into individual studies led by SyNergy members. Each study is linked to relevant publications, assays and data files (with links to external repositories).
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Public web page: Not specified
Organisms: Mus musculus, Rattus norvegicus, Homo sapiens, Macaca mulatta, Sus scrofa, Danio rerio
Submitter: Rainer Malik
Studies: A genome-wide in vivo CRISPR screen identifies essential regulators of T..., Adult neural stem cell activation in mice is regulated by the day/night ..., Diet triggers specific responses of hypothalamic astrocytes in time and ..., Direct neuronal reprogramming of NDUFS4 patient cells identifies the unf..., Distinct molecular profiles of skull bone marrow in health and neurologi..., Early adaptive immune activation detected in monozygotic twins with prod..., Heterogeneity of neurons reprogrammed from spinal cord astrocytes by the..., High-calorie diets uncouple hypothalamic oxytocin neurons from a gut-to-..., Histone Deacetylase 9 Activates IKK to Regulate Atherosclerotic Plaque V..., Innate Immune Pathways Promote Oligodendrocyte Progenitor Cell Recruitme..., Innate immune memory after brain injury drives inflammatory cardiac dysf..., MicroRNAs from extracellular vesicles as a signature for Parkinson's dis..., Microglia in white matter aging, Molecular diversity of diencephalic astrocytes reveals adult astrogenesi..., Multiomic ALS signatures highlight subclusters and sex differences sugge..., Multi‐omic landscaping of human midbrains identifies disease‐relevant mo..., Myelin degeneration in leucodystrophies, Oligodendrocytes in AD models, Oligodendrocytes in white matter aging, Parkinson's disease motor symptoms rescue by CRISPRa‐reprogramming astro..., Peripheral expression of brain-penetrant progranulin rescues pathologies..., Phagocyte-mediated synapse removal in cortical neuroinflammation is prom..., Shared inflammatory glial cell signature after stab wound injury, reveal..., Skin and gut imprinted helper T cell subsets exhibit distinct functional..., Spatial Transcriptomics-correlated Electron Microscopy maps transcriptio..., Spatial centrosome proteome of human neural cells uncovers disease-relev..., T cells modulate the microglial response to brain ischemia, Twin study identifies early immunological and metabolic dysregulation of...
Assays: Expression profiling: Bulk RNA-seq (human), Expression profiling: Bulk RNA-seq (human), Expression profiling: Bulk RNA-seq (human), Expression profiling: Bulk RNA-seq (human) + smallRNA-seq (human), Expression profiling: Bulk RNA-seq (mouse), Expression profiling: Bulk RNA-seq (mouse), Expression profiling: Bulk RNA-seq (mouse), Expression profiling: Bulk RNA-seq (mouse), Expression profiling: Bulk RNA-seq (mouse), Expression profiling: Bulk RNA-seq (mouse), Expression profiling: Bulk RNA-seq (mouse), Expression profiling: Bulk RNA-seq (mouse), Expression profiling: Bulk RNA-seq (mouse), Expression profiling: Bulk RNA-seq (mouse), Expression profiling: Bulk RNA-seq (mouse), Expression profiling: Bulk RNA-seq (rat), Expression profiling: MERFISH Spatial Transcriptomics (mouse), Expression profiling: Microarray (zebrafish), Expression profiling: RiboTag-mRNA-seq (mouse), Expression profiling: Small RNA-seq (human), Expression profiling: Spatial Transcriptomics (mouse), Expression profiling: Spatial Transcriptomics correlated Electron Micros..., Expression profiling: scRNA-seq (human), Expression profiling: scRNA-seq (human), Expression profiling: scRNA-seq (human), Expression profiling: scRNA-seq (human), Expression profiling: scRNA-seq (human) (Day 20), Expression profiling: scRNA-seq (human) (Day 5), Expression profiling: scRNA-seq (mouse), Expression profiling: scRNA-seq (mouse), Expression profiling: scRNA-seq (mouse), Expression profiling: scRNA-seq (mouse), Expression profiling: scRNA-seq (mouse), Expression profiling: scRNA-seq (mouse), Expression profiling: scRNA-seq (mouse), Expression profiling: scRNA-seq (mouse), Expression profiling: scRNA-seq (mouse), Expression profiling: scRNA-seq (mouse), Expression profiling: scRNA-seq (mouse), Expression profiling: scRNA-seq (mouse), Expression profiling: scRNA-seq (mouse), Expression profiling: scRNA-seq (mouse) + Bulk RNA-seq (mouse), Expression profiling: small RNA-seq (human), Expression profiling: small RNA-seq (mouse), Genome binding/occupancy profiling: Bulk ATAC-seq (mouse), Genome binding/occupancy profiling: Bulk ATAC-seq (mouse), Genome binding/occupancy profiling: CUT&Tag sequencing (mouse), Genome binding/occupancy profiling: snATAC-seq (mouse), Genome wide (GW) and validation CRISPR screens (rat)
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Submitter: Rainer Malik
Assay type: Transcriptomics
Technology type: Sequencing
Investigation: Transcriptomics (Published)
Organisms: Mus musculus
SOPs: No SOPs
Data files: Genetically perturbed myelin as a risk factor f...
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Around 15,000 CD45lowSiglec-H+ and CD45-O1+ single cells were sorted per sample using a FACSAria III (BD Biosciences) before being encapsulated into droplets with the Chromium Controller (10x Genomics) and processed according to the manufacturer’s specifications. Briefly, every transcript captured in all the cells encapsulated with a bead was uniquely barcoded using a combination of a 16-base pair (bp) 10x barcode and a 10-bp unique molecular identifier (UMI). Complementary DNA libraries ready ...
Creators: None
Submitter: Rainer Malik
Investigations: Transcriptomics (Published)
Abstract (Expand)
Authors: J. Groh, T. Abdelwahab, Y. Kattimani, M. Horner, S. Loserth, V. Gudi, R. Adalbert, F. Imdahl, A. E. Saliba, M. Coleman, M. Stangel, M. Simons, R. Martini
Date Published: 30th Oct 2023
Publication Type: Journal
PubMed ID: 37903797
Citation: Nat Commun. 2023 Oct 30;14(1):6911. doi: 10.1038/s41467-023-42570-2.