PRISM: a Python package for interactive and integrated analysis of multiplexed tissue microarrays

Tubelleza, R., Kilgallon, A., Tan, C. W., Monkman, J., Fraser, J. F., Kulasinghe, A. NAR Genomics and Bioinformatics DOI: 10.1093/nargab/lqaf114

Abstract: Tissue microarrays (TMAs) enable researchers to analyse hundreds of tissue samples simultaneously by embedding multiple samples into single arrays, enabling conservation of valuable tissue samples and experimental reagents. Moreover, profiling TMAs allows efficient screening of tissue samples for translational and clinical applications. Multiplexed imaging technologies allow for spatial profiling of proteins at single-cell resolution, providing insights into tumour microenvironments and disease mechanisms. High-plex spatial single-cell protein profiling is a powerful tool for biomarker discovery and translational cancer research; however, there remain limited options for end-to-end computational analysis of this type of data.