Di Xiao

The paper identifies a wheat resistance gene Lr41 that directly recognizes an effector AvrLr41 through its pseudokinase domain, revealing a non-canonical immune mechanism involving kinase-type receptors and helper proteins.

SwitchClass identifies attenuated and escalated molecular features across biological states using a label-switch classification framework, revealing directional changes in proteomics, phosphoproteomics, and single-cell transcriptomes.

The paper develops SnapKin, a deep learning ensemble model for kinase-substrate prediction from phosphoproteomics data, achieving the best performance in this task.

This paper describes a protocol to generate cortical brain organoids and optic nerve-like structures from retinal confluent cultures of pluripotent stem cells, showing transcriptional similarity to fetal cortex and functional network activity.

PhosR provides tools for processing and analyzing phosphoproteomic data, enabling data imputation, normalization, and functional analysis of kinase activity and signaling pathways.