Multiplexing the Quantitation of MAP Kinase Activities Using Differential Sensing.
Lingyu ZengTamer S KaoudDiana Zamora-OlivaresAmanda L BohanonYiru LiJacey R PridgenYakndara E EkpoDeborah L ZhuangJessica R NyeMitchell TellesMichelle WinklerSebastian RiveraFederico MariniKevin N DalbyEric V AnslynPublished in: Journal of the American Chemical Society (2022)
Protein kinases are therapeutic targets for many human diseases, but the lack of user-friendly quantitative assays limits the ability to follow the activities of numerous kinases at once (multiplexing). To develop such an assay, we report an array of sulfonamido-oxine (SOX)-labeled peptides showing cross-reactivity to different mitogen-activated protein kinases (MAPKs) for use in a differential sensing scheme. We first verified using linear discriminant analysis that the array could differentiate MAPK isoforms. Then, using principal component analysis, the array was optimized based on the discrimination imparted by each SOX-peptide. Next, the activity of individual MAPK families in ternary mixtures was quantified by support vector machine regression. Finally, we multiplexed the quantification of three MAPK families using partial least squares regression in A549 cell lysates, which has possible interference from other kinase classes. Thus, our method simultaneously quantifies the activity of multiple kinases. The technique could be applied to other protein kinase families and the monitoring of diseases.
Keyphrases
- high throughput
- protein kinase
- signaling pathway
- single cell
- high resolution
- oxidative stress
- pi k akt
- high density
- stem cells
- transcription factor
- endothelial cells
- tyrosine kinase
- ms ms
- amino acid
- cell therapy
- deep learning
- liquid chromatography tandem mass spectrometry
- protein protein
- small molecule
- bone marrow
- visible light
- computed tomography
- data analysis