Umaimainthan Palendira

The paper presents a workflow and dataset integrating spatial transcriptomics, proteomics, and histology on the same tissue section, along with an open-source tool for multimodal data analysis.

This paper combines Xenium spatial transcriptomics and imaging mass cytometry on a single tissue section to analyze mRNA and protein at single-cell resolution, showing improved biological insights when integrating both data types.

Xiao et al. reveal spatial segregation of immune cells in TB-lung tissue and link the microenvironmental dynamics to disease states of tuberculosis.

The paper identifies immune landscape differences in responders and non-responders to anti-PD-1 therapy in head and neck cancers using spatial mapping.