Our team has developed a preclinical mouse model of invasive lobular breast cancer metastasis.
We used this model to unravel mammary tumor-induced pro-metastatic inflammation (IL-17-producing γδ T cells and neutrophils conspire to promote breast cancer metastasis and Mammary tumor-derived CCL2 enhances pro-metastatic systemic inflammation through upregulation of IL1β in tumor-associated macrophages). RNAseq data from these studies can be downloaded from here.

We have generated RNAseq gene expression profiles of mammary tumors from genetically engineered mouse models (GEMMs). Analysis was performed on bulk tumors of a unique panel of 10 GEMMs with different tissue-specific mutations driving tumorigenesis, totalling to 125 different tumours, as published in Wellenstein et al Nature 2019 (Loss of p53 triggers WNT-dependent systemic inflammation to drive breast cancer metastasis). RNAseq data can be downloaded from here.

Published protocols:

In vitro assessment of cancer cell-induced polarization of macrophages

Flow cytometry-based isolation of tumor-associated regulatory T cells and assessment of their suppressive potential

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