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The p53 transcription factor is a master regulator of cellular responses to stress that is commonly inactivated in diverse cancer types. Despite decades of research, the mechanisms by which p53 impedes tumorigenesis across vastly different cellular contexts requires further investigation. The bulk of research has been completed using in vitro studies of cancer cell lines or in vivo studies in mouse models, but much less is known about p53 action in diverse non-transformed human tissues. Here, we investigated how different cellular states modify the p53 transcriptional program in human cells through a combination of computational analyses of publicly available large-scale datasets and in vitro studies using an isogenic system consisting of induced pluripotent stem cells (iPSCs) and two derived lineages. Analysis of publicly available mRNA expression and genetic dependency data demonstrated wide variation in terms of expression and function of a core p53 transcriptional program across various tissues and lineages. To monitor the impact of cell differentiation on the p53 transcriptome within an isogenic cell culture system, we activated p53 by pharmacological inhibition of its negative regulator MDM2. Using cell phenotyping assays and genome wide transcriptome analyses, we demonstrated that cell differentiation confines and modifies the p53 transcriptional network in a lineage-specific fashion. Although hundreds of p53 target genes are transactivated in iPSCs, only a small fraction is transactivated in each of the differentiated lineages. Mechanistic studies using small molecule inhibitors and genetic knockdowns revealed the presence of two major regulatory mechanisms contributing to this massive heterogeneity across cellular states: gene silencing by epigenetic regulatory complexes and constitutive transactivation by lineage-specific transcription factors. Altogether, these results illuminate the impact of cell differentiation on the p53 program, thus advancing our understanding of how this tumor suppressor functions in different contexts.
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http://dx.doi.org/10.1038/s41418-023-01113-4 | DOI Listing |
Chem Biodivers
September 2025
School of Pharmaceutical Science, Yunnan Key Laboratory of Pharmacology for Natural Products/College of Modern Biomedical Industry, NHC Key Laboratory of Drug Addiction Medicine, Kunming Medical University, Kunming, P. R. China.
20(R)-ginsenoside Rg3 can reduce the effects of oxidative stress and cell death in cerebral ischemia‒reperfusion injury (CIRI). Neuroinflammation is crucial post-CIRI, but how 20(R)-Rg3 affects ischemia‒reperfusion-induced neuroinflammation is unclear. To study 20(R)-Rg3's effects on neuroinflammation and neuronal preservation in stroke models and explore toll-like receptor 4/myeloid differentiation factor-88/nuclear factor kappa B (TLR4/MyD88/NF-κB) pathway mechanisms.
View Article and Find Full Text PDFBiochem J
September 2025
Cancer Research UK Scotland Institute, Glasgow, G61 1BD, U.K.
RNA cap formation on RNA polymerase II transcripts is regulated by cellular signalling pathways during development and differentiation, adaptive and innate immune responses, during the cell cycle and in response to oncogene deregulation. Here, we discuss how the RNA cap methyltransferase, RNA guanine-7 methyltransferase (RNMT), functions to complete the 7-methyl-guanosine or m7G cap. The mechanisms by which RNMT is regulated by signalling pathways, co-factors and other enzymes are explored.
View Article and Find Full Text PDFAm J Reprod Immunol
September 2025
Department of Obstetrics and Gynecology, Second XiangYa Hospital of Central South University, Changsha, Hunan, China.
Problem: Preeclampsia (PE) is a leading cause of perinatal maternal and fetal mortality. Clinical and pathological studies suggest that placental and decidual cell dysfunction may contribute to this condition. However, the pathogenesis of PE remains poorly understood.
View Article and Find Full Text PDFSTAR Protoc
September 2025
Laboratory of Genome Integrity, CCR, NCI, NIH, Bethesda, MD, USA. Electronic address:
Tracking the translocation of fluorescent-based reporters at the single-cell level in living mouse embryos requires specialized expertise in mouse embryology and deep computational skills. Here, we detail an approach to quantify cyclin-dependent kinase (CDK) activity levels in single cells throughout different stages of the pre-implantation embryo. We discuss in vitro culture strategies that enable efficient live fluorescent confocal image acquisition and subsequent cell tracking.
View Article and Find Full Text PDFBioinformatics
September 2025
Department of Mathematical Sciences, Chalmers University of Technology, Gothenburg, Sweden.
Summary: Dynamic models represent a powerful tool for studying complex biological processes, ranging from cell signalling to cell differentiation. Building such models often requires computationally demanding modelling workflows, such as model exploration and parameter estimation. We developed two Julia-based tools: SBMLImporter.
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