TISMO

TISMO curates RNA-seq datasets from syngeneic mouse tumor models to enable analysis of tumor–immune interactions and immunotherapy response.

Key Features:

• Extensive Data Collection: Contains 605 in vitro RNA-seq samples from 49 cancer cell lines across 23 cancer types and 1518 in vivo RNA-seq samples from 68 syngeneic mouse tumor models spanning 19 cancer types.
• Immunotherapy-related Samples: Includes 195 cytokine-treated in vitro samples and 832 samples derived from immune checkpoint blockade (ICB) studies.
• Systematic Annotation and Quality Control: Provides sample metadata annotated for cell line, mouse strain, transplantation site, treatment type, and response status with uniform processing and rigorous quality control of RNA-seq data.
• Visualization and Analysis Outputs: Provides analyses and visualizations of gene expression, pathway enrichment, and immune infiltration levels in the context of immunotherapy response.

Scientific Applications:

• Biomarker discovery: Identification of biomarkers for differential responses to cytokine therapy and immune checkpoint inhibitors (ICB) using curated RNA-seq datasets.
• Mechanistic studies of tumor immunity: Investigation of tumor–immune interactions and mechanisms underlying immunotherapy efficacy in syngeneic mouse models.
• Experimental validation and therapeutic development: Validation of experimental findings and comparative analysis to support development of new immunotherapy strategies.

Methodology:

Collection of RNA-seq data from syngeneic mouse models followed by comprehensive annotation, uniform processing, rigorous quality control, and integration of datasets for analyses of gene expression, pathway enrichment, and immune infiltration in relation to immunotherapy responses.