Annelie Mollbrink

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

The paper uses RNA-seq and spatial transcriptomics in zebra finches to study the role of the germline-restricted chromosome (GRC) in germ cell development, identifying its involvement in oocyte maturation and gene expression regulation.

AAnet identifies archetypal cell states in single-cell data to reveal tumor heterogeneity and spatial organization.

The paper introduces SiT, a method to characterize spatial isoform variation and sequence heterogeneity in tissue sections, revealing regional isoform switching and RNA editing in mouse brain.

This study uses spatial transcriptomics to analyze liver tissue, revealing zonation patterns and previously uncharacterized structures in the spatial transcriptome.

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.

Analysis of the ALS spinal cord using Spatial Transcriptomics reveals spatiotemporal dynamics of disease driven gene regulation.