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标题:Opposing Functions of Interferon Coordinate Adaptive and Innate Immune Responses to Cancer Immune Checkpoint Blockade.
时间:2019-08-14 17:54:52
DOI:10.1016/j.cell.2019.07.019
PMID:31398344
大小:23852 kb
页数:32 PAGES
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目录:
  • Opposing Functions of Interferon Coordinate Adaptive and Innate Immune Responses to Cancer Immune Checkpoint Blockade
    • Introduction
    • Results
      • ISGs Expressed by Cancer Cells Predict Resistance to Immune Checkpoint Blockade while ISGs Expressed by Immune Cells Predic ...
      • Models Differing in MHC-I, TMB, and Neoantigen Status for Examining the Effect of Blocking Tumor IFN Signaling on ICB Response
      • Blocking Tumor IFN Signaling Broadly Improves ICB Response through CD8 T and Innate Immune Cells
      • Inhibition of Tumor IFNG Signaling Enables CD8 T Cells to Support NK/ILC1-Mediated Killing
      • Preventing Tumor IFNG Signaling Enhances Immune Cell IFNG Signaling, CD8 TEX Function, and Maturation of NK/ILC1 Cells
      • Preventing Tumor IFNG Signaling Enables IFNG from CD8 TEX to Drive NK/ILC1 Function while Removing Inhibitory Feedback from ...
      • Adaptive Immune Cell Requirements for Innate Immune Killing after Blocking Tumor IFNG Signaling
      • Tumor Mutations in IFN Pathway Genes Predict Clinical Response to Dual Blockade of PD1 and CTLA4
    • Discussion
    • Supplemental Information
    • Acknowledgments
    • Author Contributions
    • Declaration of Interests
    • References
    • STAR★Methods
      • Key Resources Table
      • Lead Contact and Materials Availability
      • Experimental Model and Subject Details
        • Mice
        • Cell Lines
      • Method Details
        • CRISPR gene targeting
        • In vivo mouse studies
        • Whole exome sequencing
        • Single Cell Sequencing Preparation
        • Flow cytometry
        • Intratumoral cytokine assay
        • In vivo cytokine rescue studies
        • OT1 and FoxP3-DTR mice studies
        • Murine chimeric antigen receptor T cells
        • Adoptive transfer of mouse T cells
        • In vitro NK cell assays
      • Quantification and Statistical Analysis
        • Analysis of tumor growth, survival, and group differences
        • Gene set enrichment analysis
        • Analysis of genomic features from clinical melanoma samples
        • Single-cell RNA-sequencing analysis
        • Multivariable classification, regression, and survival analysis
        • High-dimensional flow cytometry analysis
        • Whole exome sequencing and neoantigen prediction
        • Variant analysis of clinical lung cancer tumors
      • Data and Code Availability
        • Software
        • Data Resources
          • Mouse sequencing data
          • Human gene expression data
          • Human lung cancer variant data
          • ClinVar data

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