scholarly journals Concurrent processes setE. colicell division

2018 ◽  
Vol 4 (11) ◽  
pp. eaau3324 ◽  
Author(s):  
Gabriele Micali ◽  
Jacopo Grilli ◽  
Matteo Osella ◽  
Marco Cosentino Lagomarsino
Keyword(s):  
Cell Cycle ◽  
Cell Division ◽  
Single Cell ◽  
Chromosome Segregation ◽  
Genetic Material ◽  
Replication Initiation ◽  
Concurrent Processes ◽  
A Cell ◽  
Rate Limiting ◽  
Cell Data

A cell can divide only upon completion of chromosome segregation; otherwise, its daughters would lose genetic material. However, we do not know whether the partitioning of chromosomes is the key event for the decision to divide. We show how key trends in single-cell data reject the classic idea of replication-segregation as the rate-limiting process for cell division. Instead, the data agree with a model where two concurrent processes (setting replication initiation and interdivision time) set cell division on competing time scales. During each cell cycle, division is set by the slowest process (an “AND” gate). The concept of transitions between cell cycle stages as decisional processes integrating multiple inputs instead of cascading from orchestrated steps can affect the way we think of the cell cycle in general.

scholarly journals Activation of a signaling pathway by the physical translocation of a chromosome

2021 ◽  
Author(s):  
Mathilde Guzzo ◽  
Allen G. Sanderlin ◽  
Lennice K. Castro ◽  
Michael T. Laub
Keyword(s):  
Cell Cycle ◽  
Cell Division ◽  
Dna Replication ◽  
Signaling Pathway ◽  
Chromosome Segregation ◽  
Caulobacter Crescentus ◽  
Replication Initiation ◽  
Dna Replication Initiation ◽  
Cellular Processes ◽  
Initiation Of Dna Replication

AbstractIn every organism, the cell cycle requires the execution of multiple cellular processes in a strictly defined order. However, the mechanisms used to ensure such order remain poorly understood, particularly in bacteria. Here, we show that the activation of the essential CtrA signaling pathway that triggers cell division in Caulobacter crescentus is intrinsically coupled to the successful initiation of DNA replication via the physical translocation of a newly-replicated chromosome, powered by the ParABS system. We demonstrate that ParA accumulation at the new cell pole during chromosome segregation recruits ChpT, an intermediate component of the CtrA signaling pathway. ChpT is normally restricted from accessing the selective PopZ polar microdomain until the new chromosome and ParA arrive. Consequently, any disruption to DNA replication initiation prevents the recruitment of ChpT and, in turn, cell division. Collectively, our findings reveal how major cell-cycle events are coordinated in Caulobacter and, importantly, how the physical translocation of a chromosome triggers an essential signaling pathway.

scholarly journals Regulation of the cell cycle and centrosome biology by deubiquitylases

2017 ◽  
Vol 45 (5) ◽  
pp. 1125-1136 ◽  
Author(s):  
Sarah Darling ◽  
Andrew B. Fielding ◽  
Dorota Sabat-Pośpiech ◽  
Ian A. Prior ◽  
Judy M. Coulson
Keyword(s):  
Cell Cycle ◽  
Cell Division ◽  
Mitotic Spindle ◽  
Mammalian Cells ◽  
Genetic Material ◽  
Post Translational Modification ◽  
Cellular Processes ◽  
Daughter Cells ◽  
Damage Response ◽  
A Cell

Post-translational modification of proteins by ubiquitylation is increasingly recognised as a highly complex code that contributes to the regulation of diverse cellular processes. In humans, a family of almost 100 deubiquitylase enzymes (DUBs) are assigned to six subfamilies and many of these DUBs can remove ubiquitin from proteins to reverse signals. Roles for individual DUBs have been delineated within specific cellular processes, including many that are dysregulated in diseases, particularly cancer. As potentially druggable enzymes, disease-associated DUBs are of increasing interest as pharmaceutical targets. The biology, structure and regulation of DUBs have been extensively reviewed elsewhere, so here we focus specifically on roles of DUBs in regulating cell cycle processes in mammalian cells. Over a quarter of all DUBs, representing four different families, have been shown to play roles either in the unidirectional progression of the cell cycle through specific checkpoints, or in the DNA damage response and repair pathways. We catalogue these roles and discuss specific examples. Centrosomes are the major microtubule nucleating centres within a cell and play a key role in forming the bipolar mitotic spindle required to accurately divide genetic material between daughter cells during cell division. To enable this mitotic role, centrosomes undergo a complex replication cycle that is intimately linked to the cell division cycle. Here, we also catalogue and discuss DUBs that have been linked to centrosome replication or function, including centrosome clustering, a mitotic survival strategy unique to cancer cells with supernumerary centrosomes.

scholarly journals Effects of cell-cycle-dependent expression on random fluctuations in protein levels

2016 ◽  
Vol 3 (12) ◽  
pp. 160578 ◽  
Author(s):  
Mohammad Soltani ◽  
Abhyudai Singh
Keyword(s):  
Cell Cycle ◽  
Cell Division ◽  
Protein Levels ◽  
Stochastic Component ◽  
Stochastic Expression ◽  
A Cell ◽  
Intrinsic Stochasticity ◽  
Cycle Dependent ◽  
Random Fluctuations ◽  
Cell To Cell Variability

Expression of many genes varies as a cell transitions through different cell-cycle stages. How coupling between stochastic expression and cell cycle impacts cell-to-cell variability (noise) in the level of protein is not well understood. We analyse a model where a stable protein is synthesized in random bursts, and the frequency with which bursts occur varies within the cell cycle. Formulae quantifying the extent of fluctuations in the protein copy number are derived and decomposed into components arising from the cell cycle and stochastic processes. The latter stochastic component represents contributions from bursty expression and errors incurred during partitioning of molecules between daughter cells. These formulae reveal an interesting trade-off: cell-cycle dependencies that amplify the noise contribution from bursty expression also attenuate the contribution from partitioning errors. We investigate the existence of optimum strategies for coupling expression to the cell cycle that minimize the stochastic component. Intriguingly, results show that a zero production rate throughout the cell cycle, with expression only occurring just before cell division, minimizes noise from bursty expression for a fixed mean protein level. By contrast, the optimal strategy in the case of partitioning errors is to make the protein just after cell division. We provide examples of regulatory proteins that are expressed only towards the end of the cell cycle, and argue that such strategies enhance robustness of cell-cycle decisions to the intrinsic stochasticity of gene expression.

scholarly journals Cell cycle arrest of cdc mutants and specificity of the RAD9 checkpoint.

Genetics ◽  
1993 ◽  
Vol 134 (1) ◽  
pp. 63-80 ◽  
Author(s):  
T A Weinert ◽  
L H Hartwell
Keyword(s):  
Cell Cycle ◽  
Cell Division ◽  
Dna Replication ◽  
Cell Cycle Control ◽  
Dna Lesions ◽  
Temperature Sensitive ◽  
Restrictive Temperature ◽  
A Cell ◽  
G2 Phase ◽  
Rad Mutants

Abstract In eucaryotes a cell cycle control called a checkpoint ensures that mitosis occurs only after chromosomes are completely replicated and any damage is repaired. The function of this checkpoint in budding yeast requires the RAD9 gene. Here we examine the role of the RAD9 gene in the arrest of the 12 cell division cycle (cdc) mutants, temperature-sensitive lethal mutants that arrest in specific phases of the cell cycle at a restrictive temperature. We found that in four cdc mutants the cdc rad9 cells failed to arrest after a shift to the restrictive temperature, rather they continued cell division and died rapidly, whereas the cdc RAD cells arrested and remained viable. The cell cycle and genetic phenotypes of the 12 cdc RAD mutants indicate the function of the RAD9 checkpoint is phase-specific and signal-specific. First, the four cdc RAD mutants that required RAD9 each arrested in the late S/G2 phase after a shift to the restrictive temperature when DNA replication was complete or nearly complete, and second, each leaves DNA lesions when the CDC gene product is limiting for cell division. Three of the four CDC genes are known to encode DNA replication enzymes. We found that the RAD17 gene is also essential for the function of the RAD9 checkpoint because it is required for phase-specific arrest of the same four cdc mutants. We also show that both X- or UV-irradiated cells require the RAD9 and RAD17 genes for delay in the G2 phase. Together, these results indicate that the RAD9 checkpoint is apparently activated only by DNA lesions and arrests cell division only in the late S/G2 phase.

scholarly journals ESCO: single cell expression simulation incorporating gene co-expression

2020 ◽  
Author(s):  
Jinjin Tian ◽  
Jiebiao Wang ◽  
Kathryn Roeder
Keyword(s):  
Single Cell ◽  
R Package ◽  
Brain Cell ◽  
Gene Interactions ◽  
Cell Type ◽  
Imputation Methods ◽  
Biological Interest ◽  
A Cell ◽  
Cell Expression ◽  
Cell Data

AbstractMotivationGene-gene co-expression networks (GCN) are of biological interest for the useful information they provide for understanding gene-gene interactions. The advent of single cell RNA-sequencing allows us to examine more subtle gene co-expression occurring within a cell type. Many imputation and denoising methods have been developed to deal with the technical challenges observed in single cell data; meanwhile, several simulators have been developed for benchmarking and assessing these methods. Most of these simulators, however, either do not incorporate gene co-expression or generate co-expression in an inconvenient manner.ResultsTherefore, with the focus on gene co-expression, we propose a new simulator, ESCO, which adopts the idea of the copula to impose gene co-expression, while preserving the highlights of available simulators, which perform well for simulation of gene expression marginally. Using ESCO, we assess the performance of imputation methods on GCN recovery and find that imputation generally helps GCN recovery when the data are not too sparse, and the ensemble imputation method works best among leading methods. In contrast, imputation fails to help in the presence of an excessive fraction of zero counts, where simple data aggregating methods are a better choice. These findings are further verified with mouse and human brain cell data.AvailabilityThe ESCO implementation is available as R package SplatterESCO (https://github.com/JINJINT/SplatterESCO)[email protected]

scholarly journals Alteration/Deficiency in Activation 3 (ADA3) Protein, a Cell Cycle Regulator, Associates with the Centromere through CENP-B and Regulates Chromosome Segregation

2015 ◽  
Vol 290 (47) ◽  
pp. 28299-28310 ◽  
Author(s):  
Shakur Mohibi ◽  
Shashank Srivastava ◽  
Jun Wang-France ◽  
Sameer Mirza ◽  
Xiangshan Zhao ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Chromosome Segregation ◽  
Protein A ◽  
Cell Cycle Regulator ◽  
A Cell

scholarly journals Single-cell mapping of gene expression landscapes and lineage in the zebrafish embryo

Science ◽  
2018 ◽  
Vol 360 (6392) ◽  
pp. 981-987 ◽  
Author(s):  
Daniel E. Wagner ◽  
Caleb Weinreb ◽  
Zach M. Collins ◽  
James A. Briggs ◽  
Sean G. Megason ◽  
...  
Keyword(s):  
Single Cell ◽  
Zebrafish Embryo ◽  
Cell Lineage ◽  
Vertebrate Development ◽  
Cell Mapping ◽  
Cell Fates ◽  
Web Based ◽  
A Cell ◽  
Cell Data ◽  
Germ Layer Formation

High-throughput mapping of cellular differentiation hierarchies from single-cell data promises to empower systematic interrogations of vertebrate development and disease. Here we applied single-cell RNA sequencing to >92,000 cells from zebrafish embryos during the first day of development. Using a graph-based approach, we mapped a cell-state landscape that describes axis patterning, germ layer formation, and organogenesis. We tested how clonally related cells traverse this landscape by developing a transposon-based barcoding approach (TracerSeq) for reconstructing single-cell lineage histories. Clonally related cells were often restricted by the state landscape, including a case in which two independent lineages converge on similar fates. Cell fates remained restricted to this landscape in embryos lacking the chordin gene. We provide web-based resources for further analysis of the single-cell data.

scholarly journals SET8 prevents excessive DNA methylation by methylation-mediated degradation of UHRF1 and DNMT1

2019 ◽  
Author(s):  
Huifang Zhang ◽  
Qinqin Gao ◽  
Shuo Tan ◽  
Jia You ◽  
Cong Lyu ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Dna Methylation ◽  
Cell Division ◽  
Global Dna Methylation ◽  
Protein Methylation ◽  
Accessory Factor ◽  
Protein Methyltransferase ◽  
A Cell ◽  
Do So

Abstract Faithful inheritance of DNA methylation across cell division requires DNMT1 and its accessory factor UHRF1. However, how this axis is regulated to ensure DNA methylation homeostasis remains poorly understood. Here we show that SET8, a cell-cycle-regulated protein methyltransferase, controls protein stability of both UHRF1 and DNMT1 through methylation-mediated, ubiquitin-dependent degradation and consequently prevents excessive DNA methylation. SET8 methylates UHRF1 at lysine 385 and this modification leads to ubiquitination and degradation of UHRF1. In contrast, LSD1 stabilizes both UHRF1 and DNMT1 by demethylation. Importantly, SET8 and LSD1 oppositely regulate global DNA methylation and do so most likely through regulating the level of UHRF1 than DNMT1. Finally, we show that UHRF1 downregulation in G2/M by SET8 has a role in suppressing DNMT1-mediated methylation on post-replicated DNA. Altogether, our study reveals a novel role of SET8 in promoting DNA methylation homeostasis and identifies UHRF1 as the hub for tuning DNA methylation through dynamic protein methylation.

scholarly journals Classic “broken cell” techniques and newer live cell methods for cell cycle assessment

2013 ◽  
Vol 304 (10) ◽  
pp. C927-C938 ◽  
Author(s):  
Lindsay Henderson ◽  
Dante S. Bortone ◽  
Curtis Lim ◽  
Alexander C. Zambon
Keyword(s):  
Cell Cycle ◽  
Cell Division ◽  
Single Cell ◽  
Living Cells ◽  
Cell Division Cycle ◽  
Live Cell ◽  
Nucleotide Analogs ◽  
Protein Ubiquitination ◽  
Cell Cycle Pathway ◽  
Cell Niche

Many common, important diseases are either caused or exacerbated by hyperactivation (e.g., cancer) or inactivation (e.g., heart failure) of the cell division cycle. A better understanding of the cell cycle is critical for interpreting numerous types of physiological changes in cells. Moreover, new insights into how to control it will facilitate new therapeutics for a variety of diseases and new avenues in regenerative medicine. The progression of cells through the four main phases of their division cycle [G0/G1, S (DNA synthesis), G2, and M (mitosis)] is a highly conserved process orchestrated by several pathways (e.g., transcription, phosphorylation, nuclear import/export, and protein ubiquitination) that coordinate a core cell cycle pathway. This core pathway can also receive inputs that are cell type and cell niche dependent. “Broken cell” methods (e.g., use of labeled nucleotide analogs) to assess for cell cycle activity have revealed important insights regarding the cell cycle but lack the ability to assess living cells in real time (longitudinal studies) and with single-cell resolution. Moreover, such methods often require cell synchronization, which can perturb the pathway under study. Live cell cycle sensors can be used at single-cell resolution in living cells, intact tissue, and whole animals. Use of these more recently available sensors has the potential to reveal physiologically relevant insights regarding the normal and perturbed cell division cycle.

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