Hilde Nelissen

The paper generates a high-resolution spatiotemporal transcriptome dataset of maize shoot organs under well-watered and drought conditions, revealing conserved and organ-specific gene regulation patterns.

The paper presents a single-cell transcriptome atlas of soybean, identifying 157 cell clusters and highlighting transcription factors' role in defining cell types and their origin.

SPArrOW is a pipeline for spatial transcriptomics analysis that improves data quality, provides visual quality checks, and enables interactive exploration and optimization of processing parameters.

The paper identifies transit amplifying cells in maize meristems using spatial transcriptomics and shows their growth and differentiation are independently controlled.

MINI-AC infers plant gene regulatory networks using bulk or single-cell accessible chromatin data, outperforming existing methods in identifying TF binding sites and revealing cell-type specific regulators.

The paper links rosette-stage gene expression in Brassica napus to field-grown plant yield traits by analyzing individual plants in the field.

BREEDIT improves complex traits in maize by combining CRISPR/Cas9 gene editing with crossing schemes to generate mutants with enhanced growth characteristics.

This study profiles individual maize plants in the field to link genes to functions and phenotypes, showing field data can predict gene function and plant traits as effectively as lab data.