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Supporting data for “STING/IFN-I Axis Links to Tissue Resident CD4+ T cell Pathogenecity in Primary Sjögren's Disease.”

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Figshare2025-09-17 更新2026-04-28 收录
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https://figshare.com/articles/dataset/_i_Supporting_data_for_STING_IFN-I_Axis_Links_to_Tissue_Resident_CD4_T_cell_Pathogenecity_in_Primary_Sj_gren_s_Disease_i_i_i_/30019501
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The dataset comprises a multi-faceted collection of experimental data derived from murine salivary gland studies, with a central focus on elucidating the impacts of STING activation on glandular morphology, protein localization, and gene expression profiles. It includes high-resolution fluorescence images acquired by laser scanning confocal microscopy, offering detailed visualizations of tissue microstructure and biomarker distribution. Comprehensive immunophenotyping data obtained via flow cytometry—using both the BD FACSymphony™ A5 SE for high-parameter spectral analysis and the BD LSRFortessa™ for conventional polychromatic approaches—are provided in .fcs format. These were processed with FlowJo™ software to quantify immune cell subsets, assess functional markers, and evaluate treatment-related changes in cellular profiles. The dataset also contains qPCR results from whole salivary gland tissues and purified primary epithelial cells, highlighting expression changes in genes associated with immune responses, hypoxia, apoptosis, and epithelial integrity. Additional components comprise transcription factor activity profiles generated with commercial assay kits, multiplexed protein and cytokine expression data from antibody-based microarrays, and bioinformatically processed high-throughput sequencing data. Together, these integrated data resources support a systems-level investigation into salivary gland immunobiology and STING pathway-mediated effects.
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2025-09-17
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