Jared Lee Johnson

The paper introduces INSIGHT, a platform for phosphoproteomic analysis of rare cell subpopulations, and applies it to study signaling changes in disseminated glioblastoma cells in vivo.

The paper constructs a structure-guided kinase-transcription factor interactome atlas using AlphaFold-Multimer predictions, revealing docking motifs and allosteric hotspots that regulate kinase activity and lipid metabolism.

The paper identifies molecular determinants for phosphotyrosine recognition in tyrosine kinases and shows their roles in tumor promotion and suppression.

The paper identifies human kinase motifs in viral proteomes, showing enrichment for stress and immune-related kinases and their phosphorylation in infected cells.

This paper evaluates kinase activity inference methods using phosphoproteomics data and benchmarking approaches, finding that curated kinase-substrate libraries significantly impact results.

The paper constructs a co-regulation map of phosphosites using machine learning and phosphoproteomic data, revealing kinase-substrate associations and identifying potential therapeutic targets in cancer.

The paper identifies allosteric regulation of PSKH1 kinase activity by Ca2+ sensor proteins, showing both activation and suppression by different sensors.

The paper classifies bacterial STK sequences into families and identifies distinguishing features, providing insights for drug discovery.

The paper identifies and validates tyrosine phosphorylation sites on metabolic enzymes using parallel phosphoproteomics and metabolomics in MCF10A cells.

Positional scanning peptide arrays profile substrate sequence specificities across 303 human serine/threonine kinases, enabling computational kinase-substrate annotation and signaling pathway inference across the human phosphoproteome.