Multi‐omic landscaping of human midbrains identifies disease‐relevant molecular targets and pathways in advanced‐stage Parkinson's disease
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Parkinson's disease (PD) is the second most common neurodegenerative disorder whose prevalence is rapidly increasing worldwide. The molecular mechanisms underpinning the pathophysiology of sporadic PD remain incompletely understood. Therefore, causative therapies are still elusive. To obtain a more integrative view of disease‐mediated alterations, we investigated the molecular landscape of PD in human post‐mortem midbrains, a region that is highly affected during the disease process.
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Created: 2nd Dec 2024 at 10:21
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Institutions: TUM Hospital
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Projects: Published Datasets, Unpublished Datasets
Institutions: LMU Klinikum
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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
Submitter: Rainer Malik
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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)
Submitter: Aditi Methi
Assay type: Transcriptomics
Technology type: Sequencing
Investigation: Transcriptomics (Published)
The dataset contains FASTQ files referring to the study "Multi-omics analysis of Parkinson’s disease midbrains". For this project, RNA was isolated from human postmortem midbrain tissue (PD and Control samples). Libraries were prepared with the TruSeq Small RNA library prep (Small RNA Seq) and the TruSeq Stranded Total RNA Kit (for transcriptomics), both from Illumina. Sequencing for both experimental setups was conducted in the Illumina HiSeq4000.
Creators: None
Submitter: Aditi Methi
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Abstract (Expand)
Authors: Lucas Caldi Gomes, Ana Galhoz, Gaurav Jain, Anna-Elisa Roser, Fabian Maass, Eleonora Carboni, Elisabeth Barski, Christof Lenz, Katja Lohmann, Christine Klein, Mathias Bähr, André Fischer, Michael P Menden, Paul Lingor
Date Published: 28th Jan 2022
Publication Type: Journal
