Xuan Zhang

This study characterizes the soybean root response to cyst nematode infection using single-cell multi-omic profiling, identifying key transcription factors involved in syncytium formation and immune suppression.

This study investigates the lineage-specific evolution of regulatory elements in allopolyploid peanut and its diploid progenitors, revealing patterns of chromatin accessibility and histone modification conservation and divergence.

This study uses single-cell genomics to analyze transcriptional and cis-regulatory divergence in duplicated genes of soybean, revealing how chromatin accessibility and duplication mechanisms shape expression patterns.

The paper identifies trans-regulatory variants associated with chromatin accessibility in maize hybrids, revealing their role in heterosis and gene expression.

The paper uses single-cell ATAC-seq to show ZmWUS1 overexpression alters chromatin accessibility in maize inflorescence meristem, revealing its role in stem cell maintenance through context-dependent regulation.

The paper constructs a single-cell chromatin accessibility atlas in rice and compares it across grass species to study the evolution of cell-type-specific cis-regulatory elements.

The paper identifies TF binding site divergence between maize inbred lines and links it to gene expression and phenotypic variation.

The paper identifies cell-type-specific cis-regulatory variants in maize using single-cell genomics and population genetics, revealing their role in local adaptation and flowering.

The paper constructs a spatially resolved multiomic single-cell atlas of soybean development, identifying cell types, chromatin regions, and gene regulatory networks involved in growth and nitrogen fixation.

This study uses single-cell ATAC-seq to analyze cis-regulatory elements in C4 photosynthesis across grass species, revealing cell-type-specific chromatin accessibility patterns and evolutionary dynamics.

The paper introduces scifi-ATAC-seq, a method that increases single-cell ATAC-seq throughput by 20-fold using combinatorial fluidic indexing.

The paper identifies 119 high-confidence STR-trait associations across 93 STRs for blood and serum traits using imputed genotypes from UK Biobank data.