Inference of kinase-signaling networks in human myeloid cell line models by Phosphoproteomics using kinase activity enrichment analysis (KAEA).

ABSTRACT:

Background

Despite the introduction of targeted therapies, most patients with myeloid malignancies will not be cured and progress. Genomics is useful to elucidate the mutational landscape but remains limited in the prediction of therapeutic outcome and identification of targets for resistance. Dysregulation of phosphorylation-based signaling pathways is a hallmark of cancer, and therefore, kinase-inhibitors are playing an increasingly important role as targeted treatments. Untargeted phosphoproteomics analysis pipelines have been published but show limitations in inferring kinase-activities and identifying potential biomarkers of response and resistance.

Methods

We developed a phosphoproteomics workflow based on titanium dioxide phosphopeptide enrichment with subsequent anal

SUBMITTER: Hallal M 

PROVIDER: S-EPMC8268341 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature