Genome wide (GW) and validation CRISPR screens (rat)
SEEK ID: http://lmmeisd-2.srv.mwn.de/assays/10
Experimental assay
Projects: Published Datasets
Investigation: Transcriptomics (Published)
Assay position:
Assay type: CRISPR Screen
Technology type: Technology Type
Organisms: Rattus norvegicus
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Creators and SubmitterViews: 64
Created: 28th Jun 2024 at 08:35
Last updated: 14th Oct 2024 at 14:32
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Projects: Published Datasets, Unpublished Datasets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)
Multiple sclerosis (MS) involves the infiltration of autoreactive T cells into the CNS, yet we lack a comprehensive understanding of the signaling pathways that regulate this process. Here, we conducted a genome-wide in vivo CRISPR screen in a rat MS model and identified 5 essential brakes and 18 essential facilitators of T cell migration to the CNS. While the transcription factor ETS1 limits entry to the CNS by controlling T cell responsiveness, three functional modules, centered around the ...
To identify genes driving encephalitogenic CD4+ T cell migration into the CNS, we performed a genome-wide CRISPR screen and a subsequent validation screen. For the genome-wide CRISPR screen, up to 4 sgRNA per gene and 800 non targeted controls were included, for a total of 87690 individual sgRNAs, and for the validation screen, up to 6 sgRNA per gene and 241 non targeted controls for a total of 12000 individual sgRNAs. Comparison of sgRNA distribution by pairwise comparisons across blood, spleen, ...
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