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Bulk-seq results from peripheral blood mononuclear cells (PBMCs) of VKH patients and proteomic profiling of shAPOE-transduced HMC3 cells were employed to uncover potential downstream targets of APOE

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DataONE2025-11-24 更新2025-12-06 收录
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Autoimmune uveitis (AU) is a category of sight-threatening diseases with different pathological causes. Transcriptomic analysis of AU patients revealed a highly oxidative stress profile as well as an upregulated apolipoprotein E (APOE) expression in their peripheral blood mononuclear cells (PBMC). To further investigate the role of APOE in the disease, we performed proteomic analysis on HMC3 transfected with lentivirus-mediated APOE knockdown to explore potential downstream targets of APOE. Clinical data were integrated to enhance the overall credibility and accuracy of the findings. , , # Data from: Bulk-seq results from peripheral blood mononuclear cells (PBMCs) of VKH patients and proteomic profiling of shAPOE-transduced HMC3 cells were employed to uncover potential downstream targets of APOE Dataset DOI: [10.5061/dryad.37pvmcvzx](https://doi.org/10.5061/dryad.37pvmcvzx) ## Description of the data and file structure Description of the data and file structure The following content comprises the raw data and analytical results from bulk-seq sequencing of VKH patient blood and proteomic mass spectrometry of HMC3 cells used in this study. Specifically: 1\. \"Proteomics.zip\" contains the raw mass spectrometry files from the HMC3 proteomic analysis. 2\. \"Differentially_expressed_proteins.csv\"provides the analysis results of differentially expressed proteins from the HMC3 proteomics study. 3\. \"VKH_bulk-seq.zip\" includes the raw bulk-seq data of PBMCs from VKH patients and age-matched healthy controls. 4\. \"Differentially_expressed_genes_ratio.csv\"contains the analyt..., All data collected from human subjects have been de-identified to protect participant privacy. Direct identifiers, such as names and medical record numbers, have been removed. Written informed consent was obtained from all participants, which explicitly authorized the publication of de-identified data in the public domain.
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2025-11-25
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