Alexander M. Tsankov

This study identifies Wnt9b-Sfrp2 crosstalk between endothelial and stellate cells as a driver of fibrosis resolution in MASH using single-cell and spatial profiling.

The paper identifies NRF2-driven myeloid progenitor dysregulation that sustains immunosuppressive macrophages in tumors, showing NRF2 inhibition reduces their survival and enhances antitumor immunity.

This study uses single-cell chromatin accessibility data and machine learning to predict cancer cell origins, revealing new insights into tumor development and challenging existing views on cancer origins.

This study identifies an oncofetal cell state that contributes to resistance in colorectal cancer and shows that targeting both this state and LGR5+ CSCs is needed for effective treatment.

This study develops a method to generate diverse GABAergic neurons from PSCs using TFs and signaling inhibition, showing distinct subtype compositions and disease relevance.

This paper develops a novel mouse model showing NOTCH1 drives temporal plasticity and metastasis in hepatocellular carcinoma through angiogenesis and TGFβ pathways.

This paper uses single-cell RNA-sequencing to analyze the tumor microenvironment in pleural mesothelioma, identifying gene programs, fetal-like endothelial cells, and a new therapeutic target.

This study identifies a rare progenitor cell population in the human airway that can differentiate into ionocytes or tuft cells, and shows cytokines can shift their lineage towards tuft cells in asthma and CF.

This study uses single-nucleus and spatial transcriptomics to analyze pancreatic cancer before and after neoadjuvant treatment, revealing changes in cell states and immune infiltration that may inform therapy.

The paper develops a toolbox for scRNA-Seq and snRNA-Seq of fresh and frozen human tumors, testing it across eight tumor types and optimizing protocols for different tissue characteristics.