Addressing the limitations of spatial transcriptomic techniques

Aaron Newman (left) is an Assistant Professor of Biomedical Data Science and a Chan Zuckerberg Biohub Investigator at Stanford University (CA, USA), whose lab develops and applies innovative computational methods to better understand cancer cell phenotypic states, including developmental hierarchies and the surrounding tumor microenvironment. We caught up with Aaron to discuss some of the limitations of spatial transcriptomic techniques, such as imaging-based spatial transcriptomics assays, and the computational tools his lab has developed to overcome them. What are the key techniques you use in your lab? We use a range of assays on the genomics side from single-cell RNA...