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Poster 5116: Using Genetic Features to ID and QC Murine I/O Models

Development of Murine Tumor Homograft Panels and their Genetic Fingerprints for Identification to Ensure Quality Controlled I/O Studies using these Models

Jie Cai, Wubin Qian, Bin Fan, Xiaobo Chen, Sheng Guo, Davy Ouyang, Wenqing Yang, Annie An, Jinglei Bi, Dongliang Mo, and Henry Li

CrownBio 2018. Poster 5116. Using Genetic Features to ID and QC Murine I/O ModelsMouse tumor homografts (derived from syngeneics, GEMM, etc.) engrafted in their corresponding syngeneic murine strain have become a key experimental system in immuno-oncology research, and for evaluating mouse surrogate immunotherapies.

As their use expands, it would be prudent to track and QC the tumors to ensure their continued correct identification. However, as murine tumors originate from limited strains of inbred experimental mice they lack markers which can be used in an easily performed assay for individual murine tumor model ID.

This poster details a novel and efficient model QC and tumor ID method in murine tumor model systems, based on RNAseq of original tumors and validation of unique features in parental lines/tumors through RT-PCR and direct sequencing.

Read this Poster to Discover:

  • The diverse murine tumor homograft libraries which have been developed and characterized, with over 40 syngeneic cell line derived and over 60 GEMM derived models available
  • How RNAseq of original tumors detects unique genetic features (e.g. gene fusions) in individual models, which can be confirmed and validated in original cell lines or primary tumors using RT-PCR and Sanger sequencing methods
  • How these unique genetic features can serve as genetic fingerprints for murine model ID and as tools for immuno-oncology model QC

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