ArticleNature communications2022
PIM1 promotes hepatic conversion by suppressing reprogramming-induced ferroptosis and cell cycle arrest.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- A deep learning and large language hybrid workflow for omics interpretation.Nature biomedical engineering · 2026Article
- Exploring PIM1 Kinase as a Therapeutic Target: Mechanisms and Strategies in Cancer Treatment.International journal of molecular sciences · 2026Review
- Comprehensive evaluation of phosphoproteomic-based kinase activity inference.Nature communications · 2025Article
- Article
- Single-cell analysis reveals shared adaptive responses across different types of podocyte injury.Frontiers in immunology · 2025Article
- Revitalizing liver function in mice with liver failure through transplantation of 3D-bioprinted liver with expanded primary hepatocytes.Science advances · 2024Article
- Kinase PIM1 governs ferroptosis to reduce retinal microvascular endothelial cell dysfunction triggered by high glucose.In vitro cellular & developmental biology. Animal · 2024Article
- Advancements of 3D bioprinting in regenerative medicine: Exploring cell sources for organ fabrication.Heliyon · 2024Review
- PIM3 regulates myocardial ischemia/reperfusion injury via ferroptosis.Genes & genomics · 2024Article
- PIM1 signaling in immunoinflammatory diseases: an emerging therapeutic target.Frontiers in immunology · 2024Review
- PIM1 promotes hepatic conversion by suppressing reprogramming-induced ferroptosis and cell cycle arrest.Nature communications · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.