The structure of the human cell cycle

2021 ◽  
Author(s):  
Wayne Stallaert ◽  
Katarzyna M. Kedziora ◽  
Colin D. Taylor ◽  
Tarek M. Zikry ◽  
Holly K. Sobon ◽  
...  

ABSTRACTThe human cell cycle is conventionally depicted as a five-phase model consisting of four proliferative phases (G1, S, G2, M) and a single state of arrest (G0). However, recent studies show that individual cells can take different paths through the cell cycle and exit into distinct arrest states, thus necessitating an update to the canonical model. We combined time lapse microscopy, highly multiplexed single cell imaging and manifold learning to determine the underlying “structure” of the human cell cycle under multiple growth and arrest conditions. By visualizing the cell cycle as a complete biological process, we identified multiple points of divergence from the proliferative cell cycle into distinct states of arrest, revealing multiple mechanisms of cell cycle exit and re-entry and the molecular routes to senescence, endoreduplication and polyploidy. These findings enable the visualization and comparison of alternative cell cycles in development and disease.One-sentence summaryA systems-level view of single-cell states reveals the underlying architecture of the human cell cycle

Methods ◽  
2018 ◽  
Vol 133 ◽  
pp. 81-90 ◽  
Author(s):  
Katja M. Piltti ◽  
Brian J. Cummings ◽  
Krystal Carta ◽  
Ayla Manughian-Peter ◽  
Colleen L. Worne ◽  
...  

2007 ◽  
Vol 35 (2) ◽  
pp. 263-266 ◽  
Author(s):  
K. Sillitoe ◽  
C. Horton ◽  
D.G. Spiller ◽  
M.R.H. White

The transcription factor NF-κB (nuclear factor κB) regulates critical cellular processes including the inflammatory response, apoptosis and the cell cycle. Over the past 20 years many of the components of the NF-κB signalling pathway have been elucidated along with their functions. Recent research in this field has focused on the dynamic regulation and network control of this system. With key roles in so many important cellular processes, it is critical that NF-κB signalling is tightly regulated. Recently, single-cell imaging and mathematical modelling have identified that the timing of cellular responses may play an important role in the regulation of this pathway. p65/RelA (RelA) has been shown to translocate between the nucleus and cytoplasm with varying oscillatory patterns in different cell lines leading to differences in transcriptional outputs from NF-κB-regulated genes. Variations in the timing or persistence of these movements may control the maintenance and differential expression of NF-κB-regulated genes.


2017 ◽  
Author(s):  
Alice Moussy ◽  
Jérémie Cosette ◽  
Romuald Parmentier ◽  
Cindy da Silva ◽  
Guillaume Corre ◽  
...  

AbstractIndividual cells take lineage commitment decisions in a way that is not necessarily uniform. We address this issue by characterizing transcriptional changes in cord blood derived CD34+ cells at the single-cell level and integrating data with cell division history and morphological changes determined by time-lapse microscopy. We show, that major transcriptional changes leading to a multilineage-primed gene expression state occur very rapidly during the first cell cycle. One of the two stable lineage-primed patterns emerges gradually in each cell with variable timing. Some cells reach a stable morphology and molecular phenotype by the end of the first cell cycle and transmit it clonally. Others fluctuate between the two phenotypes over several cell cycles. Our analysis highlights the dynamic nature and variable timing of cell fate commitment in hematopoietic cells, links the gene expression pattern to cell morphology and identifies a new category of cells with fluctuating phenotypic characteristics, demonstrating the complexity of the fate decision process, away from a simple binary switch between two options as it is usually envisioned.


Cell Reports ◽  
2020 ◽  
Vol 31 (2) ◽  
pp. 107514 ◽  
Author(s):  
Manuela Benary ◽  
Stefan Bohn ◽  
Mareen Lüthen ◽  
Ilias K. Nolis ◽  
Nils Blüthgen ◽  
...  

2013 ◽  
Vol 64 (1) ◽  
Author(s):  
Rachel J. Errington ◽  
Sally C. Chappell ◽  
Imtiaz A. Khan ◽  
Nuria Marquez ◽  
Marie Wiltshire ◽  
...  

2021 ◽  
Author(s):  
Dean Huang ◽  
Teresa Lo ◽  
Houra Merrikh ◽  
Paul A. Wiggins

Two powerful and complementary experimental approaches are commonly used to study the cell cycle and cell biology: One class of experiments characterizes the statistics (or demographics) of an unsynchronized exponentially-growing population, while the other captures cell cycle dynamics, either by time-lapse imaging of full cell cycles or in bulk experiments on synchronized populations. In this paper, we study the subtle relationship between observations in these two distinct experimental approaches. We begin with an existing model: a single-cell deterministic description of cell cycle dynamics where cell states (i.e. periods or phases) have precise lifetimes. We then generalize this description to a stochastic model in which the states have stochastic lifetimes, as described by arbitrary probability distribution functions. Our analyses of the demographics of an exponential culture reveal a simple and exact correspondence between the deterministic and stochastic models: The corresponding state lifetimes in the deterministic model are equal to the exponential mean of the lifetimes in the stochastic model. An important implication is therefore that the demographics of an exponential culture will be well-fit by a deterministic model even if the state timing is stochastic. Although we explore the implications of the models in the context of the Escherichia coli cell cycle, we expect both the models as well as the significance of the exponential-mean lifetimes to find many applications in the quantitative analysis of cell cycle dynamics in other biological systems.


2005 ◽  
Vol 31 (1) ◽  
Author(s):  
Rachel J. Errington ◽  
Nuria Marquez ◽  
Sally C. Chappell ◽  
Marie Wiltshire ◽  
Paul J. Smith

2021 ◽  
Author(s):  
Yifan Gui ◽  
Shuang Shuang Xie ◽  
Yanan Wang ◽  
Ping Wang ◽  
Renzhi Yao ◽  
...  

Motivation: Computational methods that track single-cells and quantify fluorescent biosensors in time-lapse microscopy images have revolutionised our approach in studying the molecular control of cellular decisions. One barrier that limits the adoption of single-cell analysis in biomedical research is the lack of efficient methods to robustly track single-cells over cell division events. Results: Here, we developed an application that automatically tracks and assigns mother-daughter relationships of single-cells. By incorporating cell cycle information from a well-established fluorescent cell cycle reporter, we associate mitosis relationships enabling high fidelity long-term single-cell tracking. This was achieved by integrating a deep-learning based fluorescent PCNA signal instance segmentation module with a cell tracking and cell cycle resolving pipeline. The application offers a user-friendly interface and extensible APIs for customized cell cycle analysis and manual correction for various imaging configurations. Availability and Implementation: pcnaDeep is an open-source Python application under the Apache 2.0 licence. The source code, documentation and tutorials are available at https://github.com/chan-labsite/PCNAdeep.


2006 ◽  
Vol 18 (2) ◽  
pp. 282
Author(s):  
D. Rath ◽  
S. Schulze

The objective of the present time-lapse studies was to compare developmental characteristics of porcine embryos after in vitro fertilization with flow cytometrically sexed spermatozoa during an in vitro culture period. Immature oocytes were matured (n = 851) and fertilized in vitro using 50 spermatozoa of either sex per oocyte. Additionally, in vivo-matured oocytes (n = 700) were derived from hormonally stimulated (eCG/hCG) prepuberal gilts, which were slaughtered 38 h after hCG treatment. Potential zygotes were introduced into the time-lapse system (50 µL-microdrops, NCSU-23) 18 h after the onset of in vitro fertilization. The onset and duration of cell cycles and blastomere rotation as well as collapses and re-expansion of cytoplasm were investigated. At the end of the culture period (168 h), embryos were labeled with Hoechst 33342 to identify the number of cell nuclei. The time-lapse system consisted of an incubation chamber installed on an inverted phase-contrast microscope and gassed with 5% CO2 in maximally humidified air. Computer controlled positioning of the chamber allowed the capture and storage of digital images of individual embryos every 30 min over a 7-day period. Converted time values were tested by ANOVA or ANOVA on ranks. In total, 700 in vivo-matured oocytes were fertilized in vitro (Y-sperm: 342; X-sperm: 358). Cleavage rates were 45.6% for male and 40.2% for female embryos. Out of these, 45.5% developed to male and 62.5% to female blastocysts, respectively. The onset and duration of cell cycles differed significantly at the 2-cell and morula stages (P < 0.01). The onset and number of rotations as well as collapses and re-expansion of cytoplasm were not different. Mean cell numbers of blastocysts were equal for both sexes (male: 35.2; female: 38.8). In parallel, 851 in vitro-matured oocytes were fertilized in vitro (Y-sperm: 431; X-sperm: 422). Cleavage rates were 45.5% for male and 49.3% for female embryos. Out of these, 54.1% developed to male and 56.7% to female blastocysts, respectively. The onset and duration of cell cycles and rotations as well as collapses were not significantly different between sexes. Mean cell numbers of blastocysts were equal for both sexes (male: 29.5; female: 27.7). Comparison between male embryos derived from in vivo (VV) or in vitro (VT)-matured oocytes showed a delay of the onset of the second cell cycle for VV (P < 0.001) and at the blastocyst stage for VT (P < 0.001). Accordingly, in these stages the duration of the cell cycle was shortened (P < 0.001). The onset and duration of rotations as well as collapses and re-expansion of cytoplasm were not different. Similar data were obtained for the female embryos. The data suggest slight sex related differences (onset of cell cycles), but these might be masked in embryos produced from in vitro-matured oocytes due to their higher individual variability. The experiment also shows the advantages of a time-lapse system to identify dynamic cell processes. It might also be a useful tool to precisely correlate cell cycle events to activation of certain marker genes.


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