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PIM1 promotes hepatic conversion by suppressing reprogramming-induced ferroptosis and cell cycle arrest.


ABSTRACT: Protein kinase-mediated phosphorylation plays a critical role in many biological processes. However, the identification of key regulatory kinases is still a great challenge. Here, we develop a trans-omics-based method, central kinase inference, to predict potentially key kinases by integrating quantitative transcriptomic and phosphoproteomic data. Using known kinases associated with anti-cancer drug resistance, the accuracy of our method denoted by the area under the curve is 5.2% to 29.5% higher than Kinase-Substrate Enrichment Analysis. We further use this method to analyze trans-omic data in hepatocyte maturation and hepatic reprogramming of human dermal fibroblasts, uncovering 5 kinases as regulators in the two processes. Further experiments reveal that a serine/threonine kinase, PIM1, promotes hepatic conversion and protects human dermal fibroblasts from reprogramming-induced ferroptosis and cell cycle arrest. This study not only reveals new regulatory kinases, but also provides a helpful method that might be extended to predict central kinases involved in other biological processes.

SUBMITTER: Yuan Y 

PROVIDER: S-EPMC9448736 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

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PIM1 promotes hepatic conversion by suppressing reprogramming-induced ferroptosis and cell cycle arrest.

Yuan Yangyang Y   Wang Chenwei C   Zhuang Xuran X   Lin Shaofeng S   Luo Miaomiao M   Deng Wankun W   Zhou Jiaqi J   Liu Lihui L   Mao Lina L   Peng Wenbo W   Chen Jian J   Wang Qiangsong Q   Shu Yilai Y   Xue Yu Y   Huang Pengyu P  

Nature communications 20220906 1


Protein kinase-mediated phosphorylation plays a critical role in many biological processes. However, the identification of key regulatory kinases is still a great challenge. Here, we develop a trans-omics-based method, central kinase inference, to predict potentially key kinases by integrating quantitative transcriptomic and phosphoproteomic data. Using known kinases associated with anti-cancer drug resistance, the accuracy of our method denoted by the area under the curve is 5.2% to 29.5% highe  ...[more]

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