We use genome-scale screens and molecular cell biology approaches in model organisms and mammalian cells to study how proteins are localized to cellular membranes, and how defects in this process results in neurodegeneration and cancer.
Characterization of the stem cell state and its control by comparative global gene expression and proteomics analyses.
Basic and translational leukemia research, Leukemic stem cell biology, Drug resistance, gene regulation and proteome dynamics, Oncolytic virotherapy and immunotherapy, Nonviral gene therapy
Bioinformatics, gene expression, gene regulation, genome sequence analysis and genome assembly.
My research focuses on preclinical animal models to better understand the pathophysiology of acute myeloid leukemia and multiple myeloma. Based on my clinical work and research background, I am familiar with “real-life” clinical problems affecting the quality of life of leukemia patients and address them with state-of-the-art research.
Our research focus is on the role of genome instability in aging and cancer. For these studies we have developed powerful single cell DNA template strand sequencing technique (Strand-seq). See: https://www.bccrc.ca/dept/tfl/people/peter-m-lansdorp
Immune response to cancer; immunogenomics; adoptive T cell therapy; T cell engineering; oncolytic viruses; phase I clinical trials
Cancer; Diabetes; Cardiovascular; Immunity, Inflammation and Infection; Neuroscience; Cell & Developmental Biology
Computational biology, cancer genomics, single cell sequencing, statistical machine learning, tumour evolution.
Genome maintenance, DNA repair, RNA processing, DNA replication stress, Chromatin Remodelling, Stress responses, Protein quality control, Genotoxins, Saccharomyces cerevisiae, Mutation Signatures.
We study how transcriptional regulation affects metabolism and stress responses in C. elegans (worm), mice, and mammalian cells. Our goal is to identify genes and mechanisms that can be targeted in diseases such as cancers, diabetes, and neurodegenerative disorders, all of which have links to dysreguated stress response and metabolism. Our work is highly collaborative and uses state of the art genetic, genomic, molecular and computational biology approaches.