Matias Kirst

This study uses single-cell RNA sequencing to identify gene regulatory networks in mucilage-producing roots across maize, sorghum, and Medicago truncatula, revealing shared and species-specific regulators.

The paper generates a chromosome-scale genome and single-nucleus transcriptomic atlas of sand bean roots to study coastal adaptation, finding that salt tolerance in Beach ecotypes relies on pre-existing, spatially organized stress-response programs.

InteracTor extracts 3D structural interaction features and uses XAI to improve protein family classification beyond primary/secondary structure features.

The paper identifies McHY5 as a transcription factor that activates PPCK1, a key CAM enzyme, during the C3-to-CAM transition in ice plant, revealing regulatory divergence between CAM and C3 species.

The paper uses single-nucleus transcriptomics to identify auxin-driven mechanisms in poplar that enhance drought tolerance through xylem plasticity.

InteracTor extracts interatomic interaction features from protein 3D structures to improve characterization of structural properties and functional insights.

The paper uses snRNA-seq to study CAM induction in ice plant mesophyll cells, revealing circadian gene expression differences between CAM and C3 pathways.

Asc-Seurat provides a web-based tool for scRNA-seq analysis, offering a user-friendly interface and integrated workflows for data processing and biological interpretation.

The paper was withdrawn due to changes in phenotypic focus, and no findings are presented.

This study evaluates genomic prediction in family bulks for loblolly pine, finding that GWFP outperforms individual GEBV predictions and is suitable for breeding programs using family-level selection.

This paper evaluates genomic prediction methods for autotetraploid blueberry using continuous genotyping and relationship matrices, finding marker-based models improve prediction accuracy and reduce computational time.