Integrative multi-omics characterization of 12 syngeneic mouse models.

ABSTRACT: Mouse syngeneic models serve as indispensable tools for elucidating tumor-immune interactions and assessing immunotherapy efficacy. In this study, we first conducted a comprehensive evaluation of six label-free protein quantification pipelines across 12 mouse syngeneic models, revealing that data-independent acquisition (DIA) significantly outperforms data-dependent acquisition (DDA) in terms of data coverage, reproducibility, and inter-model discrimination. We next performed an integrative multi-omics analysis to uncover molecular mechanisms associated with treatment response. Our analysis identified Dnmt3a and Igf2r, which are correlated with resistance to immune checkpoint inhibitors (ICIs), and highlighted key pathways including interferon signaling and oxidative phosphorylation that d

SUBMITTER: Xu Z 

PROVIDER: S-EPMC12275886 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature