ImmiR: a database of miRNAs associated with immune checkpoints and immune infiltration.


The miRNA analyzes the relationships between user-selected miRNAs and immune infiltrating cells across 32 cancer types, presented from a miRNA-focused perspective to understand regulatory networks in tumor microenvironments.

Output:

  • A heatmap illustrating correlation strengths between the selected miRNA and immune infiltrates across various cancer types using various immune subtype tools
  • A statistical table reporting correlation coefficients and p-values for immune cell abundances (estimated by immune subtyping tools) across different cancer types

Instructions:

  1. Select a miRNA (e.g., hsa-miR-1306-3p)
  2. Select at least one immune infiltrate you are interested in from the drop-down list (e.g., T cell CD4+)
  3. Select whether to apply Purity Adjustment (default: enabled)
  4. Click the Submit button to generate results



Heatmap of miRNA-Immune Infiltrate Correlation with Immune Subtype Tools

The interactive heatmap displays the correlation patterns between the selected miRNA and its associated immune checkpoint genes across 32 cancer types, with integrated pathway enrichment visualization.

Data Representation:

  • Main Heatmap:
    • Color-coded cells indicate correlation direction (red: positive, blue: negative, gray: non-significant)
    • Cancer types are displayed along the x-axis —hover over any type to view its full name and tissue origin
    • The y-axis presents immune infiltrate types and their corresponding immune subtype tools (e.g., XCELL, CIBERSORT, TIMER) that are associated with the selected miRNA
  • Immune Infiltrate Panel:
    • Right side displays detailed information about the immune cell types and infiltration patterns
    • Provides biological context for the correlation patterns observed in the heatmap

Interactive Elements




Association result table

This interactive table presents statistical associations between selected miRNAs and selected immune infiltrates across multiple cancer types. Each row reports the immune subtype tool, cancer type, correlation coefficient, and p-value for specific miRNA–immune infiltrate correlations.

Usage Instructions:

  • Use the filter boxes below each column header to narrow results by immune subtype tool, cancer type, correlation coefficient, or p-value
  • Click on any row to view a correlation plot for the selected miRNA–immune infiltrate correlation within the specific cancer type
    (Note: If the relationship between variables is non-linear, the correlation coefficient (Rho) may not match the slope of the plotted trend line.)
  • For guidance on customizing or exporting the table, see Help.





The Immune infiltrate section analyzes the relationships between selected immune infiltrates and their associated miRNAs over 32 cancer types, presented from an immune infiltrate-focused perspective to understand regulatory networks in tumor microenvironments.

Output:

  • A heatmap illustrating correlation strengths between the miRNAs associated with selected immune cell type with subtype method and various cancer types
  • A statistical table reporting correlation coefficients and p-value for each miRNA-cancer association derived from selected immune infiltrates

Instructions:

  1. Select an Immune Infiltrate from the available immune cell categories (e.g., T cell CD3+)
  2. Choose a specific Cell Type with Immune Subtype Tool (e.g.,T_cells_CD3_MCPCOUNTER)
  3. Select whether to apply Purity Adjustment (default: enabled)
  4. Click the Submit button to generate results



Heatmap of miRNA Expression Patterns Across Cancer Types by Immune Cell Origin

The interactive heatmap displays the expression patterns of miRNAs derived from selected immune infiltrates across 32 cancer types, with integrated immune subtype tool analysis.

Data Representation:

  • Main Heatmap:
    • Color-coded cells indicate correlation direction (red: positive, blue: negative, gray: non-significant)
    • Cancer types are displayed along the x-axis —hover over any type to view its full name and tissue origin
    • The y-axis presents miRNAs associated with the selected immune infiltrate types and their corresponding immune subtype tools, ranked to show the top 30 that correlate with the greatest number of cancer types

Interactive Elements



Association result table

This interactive table presents statistical associations between cancer types and miRNAs derived from selected immune infiltrate and cell type with subtype tool. Each row reports the correlation coefficient, and p-value for a specific miRNA–cancer pair.

Usage Instructions:

  • Use the filter boxes below each column header to narrow results by miRNA, cancer, correlation coefficient, or p-value
  • Click on any row to view a correlation plot for the selected miRNA (derived from immune infiltrate-cell type with subtype tool) across the specific cancer type
    (Note: If the relationship between variables is non-linear, the correlation coefficient (Rho) may not match the slope of the plotted trend line.)
  • For guidance on customizing or exporting the table, see Help.





The Cancer section analyzes the relationships between miRNAs and selected immune infiltrates within a specific cancer type, presented from a cancer-focused perspective to understand regulatory networks in individual tumor microenvironments.

Output:

  • A heatmap illustrating correlation strengths between miRNAs and immune cell infiltration with subtype tools in the selected cancer type
  • A statistical table reporting correlation coefficients and p-values for each miRNA-immune subtype tool association within the chosen cancer context

Instructions:

  1. Select a Cancer Type from the available cancer categories (e.g., LUAD)
  2. Choose specific Immune Infiltrates of your interest (e.g., T cell CD4+)
  3. Select whether to apply Purity Adjustment (default: enabled)
  4. Click the Submit button to generate results



Heatmap of miRNA-Immune Infiltrate Correlations in Specific Cancer Type

The interactive heatmap displays the correlation patterns between miRNAs and immune infiltrates with cell type and subtype tool within a selected cancer type, with integrated immune cell quantification analysis.

Data Representation:

  • Main Heatmap:
    • Color-coded cells indicate correlation direction (red: positive, blue: negative, gray: non-significant)
    • miRNAs are displayed along the x-axis
    • The y-axis represents immune infiltrates with cell type and subtype tool
  • Immune Infiltrate Panel:
    • Right side displays detailed information about the immune cell types and infiltration patterns
    • Provides biological context for the correlation patterns observed in the heatmap

Interactive Elements



Association result table

This interactive table presents statistical associations between miRNAs and immune subtype tools for the selected cancer and immune infiltrates. Each row reports the correlation coefficient and p-value for a specific miRNA–immune subtype tool pair.

Usage Instructions:

  • Use the filter boxes below each column header to narrow results by miRNA, immune subtype tool, correlation coefficient, or p-value
  • Click on any row to view a correlation plot for the selected miRNA-immune subtype tool pair within the specific cancer type
    (Note: If the relationship between variables is non-linear, the correlation coefficient (Rho) may not match the slope of the plotted trend line.)
  • For guidance on customizing or exporting the table, see Help.