Linda Kvastad

The paper creates a spatial transcriptomic atlas of pediatric brain tumors, identifying spatial archetypes and relapse-associated clones across multiple diagnoses.

The paper integrates spatial transcriptomics data with genetic disease genes to identify tissue structures linked to complex traits and suggests spatially informed drug repurposing.

The paper introduces RRST, a spatial transcriptomics workflow that improves mRNA recovery from low-quality fresh frozen samples, demonstrating its effectiveness across multiple tissue types.

This paper presents a method for genome-wide spatial mRNA analysis in FFPE tissues, demonstrating its ability to delineate anatomical regions and analyze transcriptomic signatures in ovarian carcinosarcoma.

The paper uses spatial transcriptomics to analyze copy number variations in benign and malignant tissues, revealing clonal patterns and suggesting early cancer evolution mechanisms.