Kristina Handler

The paper integrates single-cell data from CRC patients to identify immune subtypes and neutrophil phenotypes, revealing their spatial organization and tumor-induced changes.

RoCK and ROI improves single-cell transcriptomics by targeting specific transcripts and regions, enhancing detection of critical biological features.

This study shows eosinophils inhibit CRC metastasis by blocking SPP1+ macrophage differentiation, using transcriptomics and a murine model.

This study compares two scRNA-seq platforms, 10x Chromium and BD Rhapsody, in complex tissues, finding similar gene sensitivity but differences in mitochondrial content, cell type detection, and ambient noise sources.

ISCHIA identifies spatial co-occurrence patterns in healthy and inflamed human tissues using spatial transcriptomics data.

Sphere-sequencing identifies zonated genes and ligand-receptor interactions in mouse metastatic liver microenvironments at single cell resolution.

The paper uses a massively parallel reporter assay to identify RNA localization signals in neurons, revealing focused and broadly encoded motifs that influence mRNA localization to neurites and soma.