Olga A. Zabotina

The paper shows XyG-synthesizing glycosyltransferases traffic independently to the Golgi, have distinct sub-Golgi localization, and vary in stability, revealing mechanisms of protein interactions and complex assembly.

This paper provides a systems-level proteomic and transcriptomic resource for cotton fiber development, revealing post-transcriptional control and gene expression dynamics.

This study compares multi-omics data from two cotton species to identify differences in polysaccharide composition and glycosyltransferases linked to fiber quality traits.

This study shows that Arabidopsis XXTs interact with SAR1 via di-arginine motifs for ER-to-Golgi transport, and mutations disrupt this interaction, causing mislocalization and reduced xyloglucan biosynthesis.

This study compares nanoscale mechanical properties of cotton fibers between two species and develops machine learning models to predict phenotypic traits using multi-omics data.

This study presents a high-resolution transcriptomic analysis of cotton fiber development, identifying key gene expression shifts and regulatory networks during secondary wall synthesis.

This study profiles the glycome and transcriptome of cotton fibers daily to identify polysaccharide structures and glycosyltransferases critical for fiber growth and quality.

The paper uses quantitative phenotyping and computational modeling to study cotton fiber growth variability and links it to gene expression and agronomic traits.