CSF CD4+ T cells in MS Version 1
External LinkSingle-cell transcriptome profiling of disease-related lymphocytes in patients with multiple sclerosis
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Created: 28th Jun 2024 at 08:52
Last updated: 10th Oct 2024 at 14:05
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Version 1 (earliest) Created 28th Jun 2024 at 08:52 by Rainer Malik
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Projects: Published Datasets, Unpublished Datasets
Institutions: LMU Klinikum
Research Data Steward
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).
To explore investigations and their associated studies in more detail, please visit the 'Related items' tab on the Project ...
Public web page: Not specified
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)
Multidimensional single cell-analyses of T cells have fueled the debate about either extensive plasticity or “mixed” priming of T helper cell subsets in vivo. Here, we developed an experimental framework to probe the idea that the site of priming in the systemic immune compartment is a determinant of T helper cell-induced immunopathology in remote organs. By site-specific in vivo labeling of antigen-specific T cells in inguinal (i) or gut draining mesenteric (m) lymph nodes, we show that i-T cells ...
Submitter: Aditi Methi
Assay type: Transcriptomics
Technology type: Sequencing
Investigation: Transcriptomics (Published)
