BAIT
LATS2
KPM
large tumor suppressor kinase 2
GO Process (7)
GO Function (3)
GO Component (5)
Gene Ontology Biological Process
- G1/S transition of mitotic cell cycle [IDA]
- hippo signaling [IDA, TAS]
- hormone-mediated signaling pathway [IDA]
- intracellular signal transduction [IDA]
- negative regulation of canonical Wnt signaling pathway [IMP]
- negative regulation of cyclin-dependent protein serine/threonine kinase activity [IDA]
- protein phosphorylation [IDA]
Gene Ontology Molecular Function
Homo sapiens
PREY
PRKAR1A
ACRDYS1, ADOHR, CAR, CNC, CNC1, PKR1, PPNAD1, PRKAR1, TSE1
protein kinase, cAMP-dependent, regulatory, type I, alpha
GO Process (17)
GO Function (5)
GO Component (4)
Gene Ontology Biological Process
- activation of phospholipase C activity [TAS]
- activation of protein kinase A activity [TAS]
- blood coagulation [TAS]
- cellular response to glucagon stimulus [TAS]
- energy reserve metabolic process [TAS]
- epidermal growth factor receptor signaling pathway [TAS]
- fibroblast growth factor receptor signaling pathway [TAS]
- innate immune response [TAS]
- intracellular signal transduction [TAS]
- negative regulation of cAMP-dependent protein kinase activity [IDA]
- neurotrophin TRK receptor signaling pathway [TAS]
- regulation of insulin secretion [TAS]
- regulation of transcription from RNA polymerase II promoter [TAS]
- signal transduction [TAS]
- small molecule metabolic process [TAS]
- transmembrane transport [TAS]
- water transport [TAS]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
Homo sapiens
Affinity Capture-MS
An interaction is inferred when a bait protein is affinity captured from cell extracts by either polyclonal antibody or epitope tag and the associated interaction partner is identified by mass spectrometric methods.
Publication
Multiplexed kinase interactome profiling quantifies cellular network activity and plasticity.
Dynamic changes in protein-protein interaction (PPI) networks underlie all physiological cellular functions and drive devastating human diseases. Profiling PPI networks can, therefore, provide critical insight into disease mechanisms and identify new drug targets. Kinases are regulatory nodes in many PPI networks; yet, facile methods to systematically study kinase interactome dynamics are lacking. We describe kinobead competition and correlation analysis (kiCCA), ... [more]
Mol Cell Mar. 02, 2023; 83(5);803-818.e8 [Pubmed: 36736316]
Quantitative Score
- 0.689502651 [kiCCA Pearson R Value]
Throughput
- High Throughput
Additional Notes
- A kinobead competition and correlation analysis (kiCCA) involving a quantitative mass spectrometry-based chemoproteomic method was carried out to identify endogenous kinase interactors.
- High confidence interactions had a kiCCA Pearson R Value >=0.6.
Curated By
- BioGRID