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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
Single-Cell and Bulk Transcriptome Analysis Identifies B-cell Subpopulations and Associated Cancer Subtypes With Distinct Clinical and Molecular Characteristics
Faculty, Staff and Student Publications Publication Date 10-1-2025 DOI 10.1007/s13402-025-01082-5 PubMedCentral® Posted Date 6-17-2025 PubMedCentral® Full Text Version Post-print Abstract Backgroud: Previous studies have identified B cell subpopulations with pro- and anti-tumoral activities, while the clinical relevance of B cell subpopulations-specific markers in pan-cancer remains understudied.
Single-cell and bulk transcriptome analysis reveals the impact of inflammatory microglia on prognosis and immunotherapy response in primary glioblastoma
Background: Glioblastoma multiforme (GBM) is an aggressive brain tumor with poor prognosis. Microglia are key immune cells in the GBM tumor microenvironment (TME), yet their subtype-specific impact, particularly inflammatory microglia, remains poorly understood. Methods: We analyzed single-cell RNA sequencing data to characterize inflammatory microglia patterns in GBM. Patient subgroups were compared for clinical features, molecular profiles, and predicted immunotherapy responses.
Single-Cell Dissection of Malignant Cell Heterogeneity Reveals Functional Programs and Clinically Relevant Subtypes in Head and Neck Squamous Cell Carcinoma
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement Publicly available datasets were analyzed in this study. These data can be accessed at the following sources: GDC Data Portal and the NCBI Gene Expression Omnibus (GEO). Supporting Information Filename Description iub70104-sup-0001-FigureS1.pdfPDF document, 44 KB Figure S1: Bubble plot showing the strength of outgoing (X-axis) and incoming (Y-axis) signaling pathways.
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