<b>From Islet to Blood: Macrophage Polarization Signatures for Diagnosis and Progression P

Supplementary data from a study characterizing macrophage polarization signatures for Type 1 Diabetes (T1D). The dataset includes derived gene sets and model outputs from integrated bulk RNA-seq, single-cell RNA-seq, and spatial transcriptomic data of human islets and peripheral blood mononuclear cells (PBMCs). It was authored by Shuang Li and last updated on May 14, 2026.

Use Cases

• Developing diagnostic classifiers for Type 1 Diabetes based on the 9-gene islet-derived M1RG (iM1RG) signature.
• Building prognostic models to predict progression from islet autoimmunity to clinical T1D using the 15-gene prognostic M1RG (pM1RG) risk score.
• Analyzing macrophage heterogeneity and polarization trajectories within the T1D islet microenvironment.
• Validating peripheral blood-based biomarkers derived from tissue-level transcriptomic analyses.

Strengths

• Model validation includes a longitudinal islet autoimmunity cohort with time-dependent AUCs reported (1, 0.79, and 0.83 at 12, 36, and 60 months).
• Data integration from multiple transcriptomic sources: bulk RNA-seq, single-cell RNA-seq, and spatial transcriptomics.
• The dataset is licensed under CC-BY-4.0, facilitating open reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Integrated analysis of public and in-house peripheral blood mononuclear cell (PBMC) transcriptomic datasets with islet data.

Freshness

Last updated 2026-05-14 14:25:42; freshness should be verified.