ArticleInternational journal of molecular sciences2024
Gene Expression Profiling of Post Mortem Midbrain of Parkinson's Disease Patients and Healthy Controls.
Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
14 citing papers in PubMed, 14 citations in OpenAlex.
- Genetic Overlap Between Dilated Cardiomyopathy and Neurological Disorders: Insights from a Next-Generation Sequencing Study.Diagnostics (Basel, Switzerland) · 2026Article
- Comparative Peripheral Blood Transcriptomic Profiles in Parkinson's Disease and Restless Legs Syndrome: An Exploratory Between-Cohort Analysis.International journal of molecular sciences · 2026Article
- Cardiac-derived extracellular vesicles carrying miR-4433b-3p accelerate cognitive decline and brain aging by suppressing TP53INP2-mediated neuronal autophagy in mice.Communications biology · 2026Article
- Roles of mitophagy and immune infiltration in Parkinson's disease: new perspectives from bioinformatics analysis and A53T transgenic mice.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Article
- Integrating Weighted Gene Co-Expression Network and Differential Expression Analyses to Unveil the Role of RNA m6A Methylation Regulators in Idiopathic Parkinson's Disease in Latin America.Life (Basel, Switzerland) · 2026Article
- Exploring the human brain: spatial transcriptomics challenges and approaches in post-mortem analysis.Brain : a journal of neurology · 2026Review
- Parkinson's Disease: From Metabolism to Genetics-A Comprehensive Review.Current issues in molecular biology · 2026Review
- Protein Expression of TXNIP in the Dopaminergic Neurons of Subjects with Parkinson's Disease: Evidence from a Pilot Study.Life (Basel, Switzerland) · 2025Article
- Over-integration of visual network in major depressive disorder and its association with gene expression profiles.Translational psychiatry · 2025Article
- The effect of polygenic risk score on PD risk and phenotype inJournal of Parkinson's disease · 2025Article
- Neurodegenerative Disease: From Molecular Basis to Therapy, 2nd Edition.International journal of molecular sciences · 2025Article
- Comprehensive analysis of plasma cell heterogeneity and immune interactions in multiple myeloma.Frontiers in immunology · 2025Article
- The Role of ETNPPL in Dopaminergic Neuron Stability: Insights from Neuromelanin-Associated Protein Expression in Parkinson's Disease.International journal of molecular sciences · 2024Article
- Review
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
Abstract
Parkinson's disease (PD) stands as the most prevalent degenerative movement disorder, marked by the degeneration of dopaminergic neurons in the substantia nigra of the midbrain. In this study, we conducted a transcriptome analysis utilizing post mortem mRNA extracted from the substantia nigra of both PD patients and healthy control (CTRL) individuals. Specifically, we acquired eight samples from individuals with PD and six samples from CTRL individuals, with no discernible pathology detected in the latter group. RNA sequencing was conducted using the TapeStation 4200 system from Agilent Technologies. A total of 16,148 transcripts were identified, with 92 mRNAs displaying differential expression between the PD and control groups. Specifically, 33 mRNAs were significantly up-regulated, while 59 mRNAs were down-regulated in PD compared to the controls. The identification of statistically significant signaling pathways, with an adjusted
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.