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1.
Science ; 384(6695): eadi2421, 2024 May 03.
Article En | MEDLINE | ID: mdl-38696576

Cell cycle events are coordinated by cyclin-dependent kinases (CDKs) to ensure robust cell division. CDK4/6 and CDK2 regulate the growth 1 (G1) to synthesis (S) phase transition of the cell cycle by responding to mitogen signaling, promoting E2F transcription and inhibition of the anaphase-promoting complex. We found that this mechanism was still required in G2-arrested cells to prevent cell cycle exit after the S phase. This mechanism revealed a role for CDK4/6 in maintaining the G2 state, challenging the notion that the cell cycle is irreversible and that cells do not require mitogens after passing the restriction point. Exit from G2 occurred during ribotoxic stress and was actively mediated by stress-activated protein kinases. Upon relief of stress, a significant fraction of cells underwent a second round of DNA replication that led to whole-genome doubling.


Cyclin-Dependent Kinase 4 , Cyclin-Dependent Kinase 6 , Endoreduplication , G2 Phase Cell Cycle Checkpoints , Stress, Physiological , Humans , Cyclin-Dependent Kinase 4/metabolism , Cyclin-Dependent Kinase 4/genetics , Cyclin-Dependent Kinase 6/metabolism , Cyclin-Dependent Kinase 6/genetics , E2F Transcription Factors/metabolism , E2F Transcription Factors/genetics , S Phase , Cell Line
2.
Dev Cell ; 2024 Apr 11.
Article En | MEDLINE | ID: mdl-38640927

Whole-genome duplication (WGD) is a frequent event in cancer evolution that fuels chromosomal instability. WGD can result from mitotic errors or endoreduplication, yet the molecular mechanisms that drive WGD remain unclear. Here, we use live single-cell analysis to characterize cell-cycle dynamics upon aberrant Ras-ERK signaling. We find that sustained ERK signaling in human cells leads to reactivation of the APC/C in G2, resulting in tetraploid G0-like cells that are primed for WGD. This process is independent of DNA damage or p53 but dependent on p21. Transcriptomics analysis and live-cell imaging showed that constitutive ERK activity promotes p21 expression, which is necessary and sufficient to inhibit CDK activity and which prematurely activates the anaphase-promoting complex (APC/C). Finally, either loss of p53 or reduced ERK signaling allowed for endoreduplication, completing a WGD event. Thus, sustained ERK signaling-induced G2 cell cycle exit represents an alternative path to WGD.

3.
Cell Syst ; 13(11): 885-894.e4, 2022 11 16.
Article En | MEDLINE | ID: mdl-36356576

The classic network of mitogen-activated protein kinases (MAPKs) is highly interconnected and controls a diverse array of biological processes. In multicellular eukaryotes, the MAPKs ERK, JNK, and p38 control opposing cell behaviors but are often activated simultaneously, raising questions about how input-output specificity is achieved. Here, we use multiplexed MAPK activity biosensors to investigate how cell fate control emerges from the connectivity and dynamics of the MAPK network. Through chemical and genetic perturbation, we systematically explore the outputs and functions of all the MAP3 kinases encoded in the human genome and show that MAP3Ks control cell fate by triggering unique combinations of MAPK activity. We show that these MAPK activity combinations explain the paradoxical dual role of JNK signaling as pro-apoptotic or pro-proliferative kinase. Overall, our integrative analysis indicates that the MAPK network operates as a unit to control cell fate and shifts the focus from MAPKs to MAP3Ks to better understand signaling-mediated control of cell fate.


JNK Mitogen-Activated Protein Kinases , MAP Kinase Signaling System , Humans , JNK Mitogen-Activated Protein Kinases/metabolism , Phosphorylation , Mitogen-Activated Protein Kinases/metabolism , Signal Transduction
4.
Nat Commun ; 12(1): 1836, 2021 03 23.
Article En | MEDLINE | ID: mdl-33758175

To prevent damage to the host or its commensal microbiota, epithelial tissues must match the intensity of the immune response to the severity of a biological threat. Toll-like receptors allow epithelial cells to identify microbe associated molecular patterns. However, the mechanisms that mitigate biological noise in single cells to ensure quantitatively appropriate responses remain unclear. Here we address this question using single cell and single molecule approaches in mammary epithelial cells and primary organoids. We find that epithelial tissues respond to bacterial microbe associated molecular patterns by activating a subset of cells in an all-or-nothing (i.e. digital) manner. The maximum fraction of responsive cells is regulated by a bimodal epigenetic switch that licenses the TLR2 promoter for transcription across multiple generations. This mechanism confers a flexible memory of inflammatory events as well as unique spatio-temporal control of epithelial tissue-level immune responses. We propose that epigenetic licensing in individual cells allows for long-term, quantitative fine-tuning of population-level responses.


Bacteria/immunology , Epithelial Cells/immunology , Immunity, Innate , Lipopeptides/immunology , NF-kappa B/metabolism , Toll-Like Receptor 2/metabolism , Animals , Bacteria/metabolism , Cell Line , Cytokines/metabolism , Cytokines/pharmacology , DNA Methylation/drug effects , Epigenesis, Genetic/drug effects , Epithelial Cells/drug effects , Epithelial Cells/metabolism , Flagellin/pharmacology , Gene Expression Regulation/genetics , Gene Expression Regulation/immunology , Humans , Image Processing, Computer-Assisted , Immunity, Innate/drug effects , Immunity, Innate/genetics , In Situ Hybridization, Fluorescence , Mammary Glands, Animal , Mice , Organoids/drug effects , Organoids/immunology , Organoids/metabolism , Promoter Regions, Genetic , RNA-Seq , Signal Transduction/immunology , Single-Cell Analysis , Toll-Like Receptor 2/agonists , Toll-Like Receptor 2/genetics , Toll-Like Receptors/agonists , Toll-Like Receptors/metabolism
5.
Mamm Genome ; 29(1-2): 168-181, 2018 Feb.
Article En | MEDLINE | ID: mdl-29353386

Studies of gene expression are common in toxicology and provide important clues to mechanistic understanding of adverse effects of chemicals. Most prior studies have been performed in a single strain or cell line; however, gene expression is heavily influenced by the genetic background, and these genotype-expression differences may be key drivers of inter-individual variation in response to chemical toxicity. In this study, we hypothesized that the genetically diverse Collaborative Cross mouse population can be used to gain insight and suggest mechanistic hypotheses for the dose- and genetic background-dependent effects of chemical exposure. This hypothesis was tested using a model liver toxicant trichloroethylene (TCE). Liver transcriptional responses to TCE exposure were evaluated 24 h after dosing. Transcriptomic dose-responses were examined for both TCE and its major oxidative metabolite trichloroacetic acid (TCA). As expected, peroxisome- and fatty acid metabolism-related pathways were among the most dose-responsive enriched pathways in all strains. However, nearly half of the TCE-induced liver transcriptional perturbation was strain-dependent, with abundant evidence of strain/dose interaction, including in the peroxisomal signaling-associated pathways. These effects were highly concordant between the administered TCE dose and liver levels of TCA. Dose-response analysis of gene expression at the pathway level yielded points of departure similar to those derived from the traditional toxicology studies for both non-cancer and cancer effects. Mapping of expression-genotype-dose relationships revealed some significant associations; however, the effects of TCE on gene expression in liver appear to be highly polygenic traits that are challenging to positionally map. This study highlights the usefulness of mouse population-based studies in assessing inter-individual variation in toxicological responses, but cautions that genetic mapping may be challenging because of the complexity in gene exposure-dose relationships.


Genetics, Population , Transcription, Genetic/drug effects , Transcriptome/genetics , Trichloroethylene/toxicity , Animals , Dose-Response Relationship, Drug , Kidney/drug effects , Kidney/metabolism , Liver/drug effects , Liver/metabolism , Mice , Trichloroacetic Acid/metabolism
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