Here, we report that Caveolin-2 (Cav-2) is a cell cycle regulator in the mitotic clonal expansion (MCE) for adipogenesis. For the G2/M phase transition and re-entry into the G1 phase, dephosphorylated Cav-2 by protein tyrosine phosphatase 1B (PTP1B) controlled epigenetic activation of Ccnb1, Cdk1, and p21 in a lamin A/C-dependent manner, thereby ensuring the survival of preadipocytes. Cav-2, associated with lamin A/C, recruited the repressed promoters of Ccnb1 and Cdk1 for activation, and disengaged the active promoter of p21 from lamin A/C for inactivation through histone H3 modifications at the nuclear periphery. Cav-2 deficiency abrogated the histone H3 modifications and impeded the transactivation of Ccnb1, Cdk1, and p21, leading to a delay in mitotic entry, retardation of re-entry into G1 phase, and the apoptotic cell death of preadipocytes. Re-expression of Cav-2 restored the G2/M phase transition and G1 phase re-entry, preadipocyte survival, and adipogenesis in Cav-2-deficient preadipocytes. Our study uncovers a novel mechanism by which cell cycle transition and apoptotic cell death are controlled for adipocyte hyperplasia.
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http://dx.doi.org/10.1016/j.bbamcr.2024.119793 | DOI Listing |
Nat Commun
January 2025
Department of Biology, University of Konstanz, Konstanz, Germany.
Phosphorylation of substrates by cyclin-dependent kinases (CDKs) is the driving force of cell cycle progression. Several CDK-activating cyclins are involved, yet how they contribute to substrate specificity is still poorly understood. Here, we discover that a positively charged pocket in cyclin B1, which is exclusively conserved within B-type cyclins and binds phosphorylated serine- or threonine-residues, is essential for correct execution of mitosis.
View Article and Find Full Text PDFAnticancer Drugs
January 2025
School of Clinical Medicine, Zhaoqing Medical College, Zhaoqing, Guangdong, China.
The uncertain ferroptosis-related role of berberine in prostate cancer was explored using network pharmacology methodology. Integration of ferroptosis targets in prostate cancer from the Genecard database and berberine targets from the Traditional Chinese Medicine Systems Pharmacology and SwissTargetPrediction databases revealed 17 common targets. Among these, 10 hub genes, including CCNB1, CDK1, AURKA, AR, CDC42, ICAM1, TYMS, NTRK1, PTGS2, and SCD, were identified.
View Article and Find Full Text PDFCancer Rep (Hoboken)
January 2025
Department of Medical Biotechnology, School of Advanced Technologies, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Background: Bioinformatics analysis of hepatocellular carcinoma (HCC) expression profiles can aid in understanding its molecular mechanisms and identifying new targets for diagnosis and treatment.
Aim: In this study, we analyzed expression profile datasets and miRNA expression profiles related to HCC from the GEO using R software to detect differentially expressed genes (DEGs) and differentially expressed miRNAs (DEmiRs).
Methods And Results: Common DEGs were identified, and a PPI network was constructed using the STRING database and Cytoscape software to identify hub genes.
Oral Oncol
February 2025
Institute of Pathology, University Hospital of Cologne, University Cologne, Faculty of Medicine, Kerpener Strasse 62, 50937 Cologne, Germany. Electronic address:
Background: The histone gene H2AX and its phosphorylated protein γ-H2AX play a crucial role in the DNA damage response. This study investigates the expression of H2AX mRNA and its phosphorylated γ-H2AX protein in oropharyngeal squamous cell carcinoma (OPSCC), its association with distinct biological pathway alterations and its potential as a biomarker.
Materials And Methods: Expression of H2AX mRNA in 76 OPSCC from The Cancer Genome Atlas (TCGA) cohort was analyzed.
Sci Rep
December 2024
Department of Breast Surgery, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China.
Breast cancer is a leading cause of cancer-related deaths among women globally. It is imperative to explore novel biomarkers to predict breast cancer treatment response as well as progression. Here, we collected six breast cancer samples and paired normal tissues for high-throughput sequencing.
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