Litcius/Paper detail

TISMO: syngeneic mouse tumor database to model tumor immunity and immunotherapy response

Zexian Zeng, Cheryl J. Wong, Lin Yang, Nofal Ouardaoui, Dian Li, Wubing Zhang, Shengqing Gu, Yi Zhang, Yang Liu, Xiaoqing Wang, Jingxin Fu, Liye Zhou, Boning Zhang, Sarah Kim, Kathleen B. Yates, Myles Brown, Gordon J. Freeman, Ravindra Uppaluri, Robert T. Manguso, X. Shirley Liu

2021Nucleic Acids Research132 citationsDOIOpen Access PDF

Abstract

Syngeneic mouse models are tumors derived from murine cancer cells engrafted on genetically identical mouse strains. They are widely used tools for studying tumor immunity and immunotherapy response in the context of a fully functional murine immune system. Large volumes of syngeneic mouse tumor expression profiles under different immunotherapy treatments have been generated, although a lack of systematic collection and analysis makes data reuse challenging. We present Tumor Immune Syngeneic MOuse (TISMO), a database with an extensive collection of syngeneic mouse model profiles with interactive visualization features. TISMO contains 605 in vitro RNA-seq samples from 49 syngeneic cancer cell lines across 23 cancer types, of which 195 underwent cytokine treatment. TISMO also includes 1518 in vivo RNA-seq samples from 68 syngeneic mouse tumor models across 19 cancer types, of which 832 were from immune checkpoint blockade (ICB) studies. We manually annotated the sample metadata, such as cell line, mouse strain, transplantation site, treatment, and response status, and uniformly processed and quality-controlled the RNA-seq data. Besides data download, TISMO provides interactive web interfaces to investigate whether specific gene expression, pathway enrichment, or immune infiltration level is associated with differential immunotherapy response. TISMO is available at http://tismo.cistrome.org.

Topics & Concepts

BiologyImmunotherapyImmune systemCancer immunotherapyCancer researchCancerTranscriptomeImmune checkpointImmunologyComputational biologyGene expressionGeneGeneticsSingle-cell and spatial transcriptomicsEpigenetics and DNA MethylationImmune cells in cancer