Tran N. Chau

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.

The paper uses snRNA-seq to analyze Arabidopsis root cell responses to P. capsici infection, identifying transcriptional changes and hormone-related pathways in different cell types.

The paper shows that cell and nuclear size in tetraploid cancer cells correlate with chromosomal instability and tumorigenicity, with smaller cells having better fitness and poorer patient survival in WGD-positive cancers.

PLM-OMG uses protein language models to detect orthogroups and map cell types across plant species, showing better accuracy than traditional methods.

scCoBench benchmarks co-expression methods in scRNA-seq using promoter-reporter lines, showing imputation improves correlation and biological relevance.

The paper develops a method to annotate cell types across species using orthologous marker gene groups, identifying conserved cell-type markers in 15 plant species.