The coordination of mitotic spindle formation and chromatin condensation is an essential prerequisite for successful mitosis. Both events are thought to be initiated by cyclin B/Cdk1, whose initial activation occurs in late prophase at the centrosomes. Recently, we have shown that Chk1 localizes to interphase centrosomes and thereby negatively regulates entry into mitosis by preventing premature activation of cyclin B/Cdk1. Here, we demonstrate that inhibition of Chk1 kinase induces mitotic entry with regular spindle assembly but aberrant and mislocalized chromatin. This effect, which we have termed the 'paraspindle' phenotype, was reverted by downregulation of Cdc25B phosphatase using siRNA, which restored normal mitosis with regular chromatin. Analogous to Chk1 inhibition, the 'paraspindle' phenotype was induced by overexpression of Cdc25B but not Cdc25A. Our results suggest that Chk1 functions to coordinate mitotic events through regulation of Cdc25B.
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http://dx.doi.org/10.4161/cc.5.21.3435 | DOI Listing |
Eur J Pharmacol
February 2025
School of Life Science and Engineering, Southwest Jiaotong University, Chengdu, 610031, Sichuan province, PR China. Electronic address:
FOXM1 is the "Achilles' heel" of cancers and hence the potential therapeutic target for anticancer drug discovery. In this work, we selected high affinity peptides against the protein of human DNA binding domain of FOXM1 (FOXM1-DBD) from the disulfide-constrained, phage displayed random cyclic heptapeptide library Ph.D.
View Article and Find Full Text PDFCNS Neurosci Ther
January 2025
Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Background: Epilepsy has a genetic predisposition, yet causal factors and the dynamics of the immune environment in epilepsy are not fully understood.
Methods: We analyzed peripheral blood samples from epilepsy patients, identifying key genes associated with epilepsy risk through Mendelian randomization, using eQTLGen and genome-wide association studies. The peripheral immune environment's composition in epilepsy was explored using CIBERSORT.
Zhongguo Shi Yan Xue Ye Xue Za Zhi
December 2024
Shaanxi Institute for Pediatric Diseases, Shaanxi Provincial Key Laboratory of Children's Health and Diseases, Xi'an Children's Hospital, Shaanxi Province, China.
Objective: To analyze the expression of B-cell development-related genes in acute B lymphoblastic leukemia (B-ALL), and to explore the relationship between B-cell development-related genes and the prognosis of B-ALL patients.
Methods: The GEO and TARGET databases were integrated to analyze the differential expression of B-cell development-related genes between the healthy persons and B-ALL patients and their differential expression in the B-ALL relapse and non-relapse groups. Cox single factor regression and Lasso regression were used to constructe a B-ALL specific prognosis model of B-cell development-related genes.
Cancer Drug Resist
October 2024
Department of Pharmacology and Toxicology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Cell division cycle 25B (CDC25B) belongs to the CDC25 family of phosphatases that regulate cell cycle progression. CDC25B also contributes to tumor initiation and progression, but no connection between CDC25B levels and drug sensitivity in pancreatic cancer has been reported. Based on our finding that bromodomain and extraterminal domain (BET) inhibitors decrease levels of CDC25B, we aim to compare the sensitivity of models expressing contrasting levels of CDC25B to the BET inhibitor JQ1, in pancreatic cancer cell lines and in patient-derived xenograft (PDX) models of pancreatic ductal adenocarcinoma (PDAC) .
View Article and Find Full Text PDFInt J Mol Sci
October 2024
Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires C1428EGA, Argentina.
Prostate cancer (PCa) poses a significant global health challenge, particularly due to its progression into aggressive forms like neuroendocrine prostate cancer (NEPC). This study developed and validated a stemness-associated gene signature using advanced machine learning techniques, including Random Forest and Lasso regression, applied to large-scale transcriptomic datasets. The resulting seven-gene signature (, , , , , , and ) was validated across independent cohorts and patient-derived xenograft (PDX) models.
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