Kuppusamy Balamurugan

Metabolic maintenance of breast cancer cells and metastases through E-cadherin/YAP-dependent pyruvate carboxylase expression

This study identifies E-cadherin/YAP-dependent pyruvate carboxylase expression as a metabolic driver of breast cancer progression and metastasis, with therapeutic implications for epithelial TNBC.

Imaging Mass Cytometry (IMC) as a Tool to Characterize Circulating Tumor Cells (CTCs) in Preclinical Mouse Models

This study uses imaging mass cytometry to analyze circulating tumor cells in mouse models, enabling the characterization of single cells and clusters in liquid biopsies.

NucleoNet and DropNet: Generalist deep learning models for instance segmentation of nuclei and lipid droplets from electron microscopy images

The paper develops NucleoNet and DropNet, deep learning models for segmenting nuclei and lipid droplets in EM images, and applies them to compare 2D/3D cancer models with in vivo tumors.

A simple liquid 3D cell culture paradigm models oxidative mitochondrial metabolism of epithelial breast cancer cells with relevance for lung metastases.

This paper compares two 3D culture models for breast cancer cells, finding that the EmC model better mimics lung metastasis by altering metabolism and gene expression.