A. Y. Husbands

Expression-based machine learning models for predicting plant tissue identity

The paper uses Arabidopsis gene expression data to train machine learning models for predicting tissue identity in other flowering plants, finding that gene expression signatures are more predictive than marker genes.

Topological data analysis reveals a core heteroblastic program embedded in leaves of grapevine and maracuya

The paper uses topological data analysis to reveal a conserved core heteroblasty program in grapevine and maracuya leaves, despite species-specific shape differences.

The START domain potentiates HD-ZIPIII transcriptional activity

This study identifies the START domain's role in enhancing HD-ZIPIII transcriptional activity through homodimerization and ligand-induced conformational changes.

The topological shape of gene expression across the evolution of flowering plants

This paper uses topological data analysis to create a topological representation of gene expression across flowering plants, revealing conserved expression patterns linked to tissues and stress responses.

An siRNA-guided Argonaute protein directs RNA Polymerase V to initiate DNA methylation

The paper shows that siRNA-guided ARGONAUTE proteins recruit RNA Polymerase V to initiate DNA methylation without preexisting methylation, challenging previous models of RdDM initiation.

Identifying Cancer-Relevant Mutations in the DLC START Domain using Evolutionary and Structure-Function Analyses

The paper identifies cancer-relevant mutations in the DLC START domain using evolutionary and structure-function analyses, finding conserved residues overrepresented in cancer cells and critical for START domain stability.