Cell Size Control Research Articles

Using P(Pressure)-T(Temperature) Path to Control the Foaming Cell Sizes in Microcellular Injection Molding Process.

Microcellular injection molding technology (MuCell) using supercritical fluid (SCF) as a foaming agent is one of the important green molding solutions for reducing the part weight, saving cycle time, and molding energy, and improving dimensional stability. In view of the environmental issues, the successful application of MuCell is becoming increasingly important. However, the molding process encounters difficulties including the sliver flow marks on the surface and unstable mechanical properties that are caused by the uneven foaming cell sizes within the part. In our previous studies, gas counter-pressure combined with dynamic molding temperature control was observed to be an effective and promising way of improving product quality. In this study, we extend this concept by incorporating additional parameters, such as gas pressure holding time and release time, and taking the mold cooling speed into account to form a P(pressure)-T(temperature) path in the SCF PT diagram. This study demonstrates the successful control of foaming cell size and uniformity in size distribution in microcellular injection molding of polystyrene (PS). A preliminary study in the molding of elastomer thermoplastic polyurethanes (TPU) using the P-T path also shows promising results.

Coordination of gene expression noise with cell size: analytical results for agent-based models of growing cell populations.

The chemical master equation and the Gillespie algorithm are widely used to model the reaction kinetics inside living cells. It is thereby assumed that cell growth and division can be modelled through effective dilution reactions and extrinsic noise sources. We here re-examine these paradigms through developing an analytical agent-based framework of growing and dividing cells accompanied by an exact simulation algorithm, which allows us to quantify the dynamics of virtually any intracellular reaction network affected by stochastic cell size control and division noise. We find that the solution of the chemical master equation-including static extrinsic noise-exactly agrees with the agent-based formulation when the network under study exhibits stochastic concentration homeostasis, a novel condition that generalizes concentration homeostasis in deterministic systems to higher order moments and distributions. We illustrate stochastic concentration homeostasis for a range of common gene expression networks. When this condition is not met, we demonstrate by extending the linear noise approximation to agent-based models that the dependence of gene expression noise on cell size can qualitatively deviate from the chemical master equation. Surprisingly, the total noise of the agent-based approach can still be well approximated by extrinsic noise models.

Cell size: a key determinant of meristematic potential in plant protoplasts.

Metabolic pathway reconstruction and gene edits for native natural product synthesis in single plant cells are considered to be less complicated when compared to the production of non-native metabolites. Being an efficient eukaryotic system, plants encompass suitable post-translational modifications. However, slow cell division rate and heterogeneous nature is an impediment for consistent product retrieval from plant cells. Plant cell synchrony can be attained in cultures developed in vitro. Isolated plant protoplasts capable of division, can potentially enhance the unimpaired yield of target bioactives, similar to microbes and unicellular eukaryotes. Evidence from yeast experiments suggests that 'critical cell size' and division rates for enhancement machinery, primarily depend on culture conditions and nutrient availability. The cell size control mechanisms in Arabidopsis shoot apical meristem is analogous to yeast notably, fission yeast. If protoplasts isolated from plants are subjected to cell size studies and cell cycle progression in culture, it will answer the underlying molecular mechanisms such as, unicellular to multicellular transition states, longevity, senescence, 'cell-size resetting' during organogenesis, and adaptation to external cues.

Bacterial Growth Control Mechanisms Inferred from Multivariate Statistical Analysis of Single-Cell Measurements

Analysis of single-cell measurements of bacterial growth and division often relied on testing preconceived models of cell size control mechanisms. Such an approach could limit the scope of data analysis and prevent us from uncovering new information. Here, we take an "agnostic" approach by applying regression methods to multiple simultaneously measured cellular variables, which allow us to infer dependencies among those variables from their apparent correlations. Besides previously observed correlations attributed to particular cell size control mechanisms, we identify dependencies that point to potentially new mechanisms. In particular, cells born smaller than their sisters tend to grow faster and make up for the size difference acquired during division. We also find that sister cells are correlated beyond what single-cell, size-control models predict. These trends are consistently found in repeat experiments, although the dependencies vary quantitatively. Such variation highlights the sensitivity of cell growth to environmental variations and the limitation of currently used experimental setups.

Angelika Amon.

Angelika Amon.

Cell Size Is Coordinated with Cell Cycle by Regulating Initiator Protein DnaA in E. coli

Sixty years ago, bacterial cell size was found to be an exponential function of growth rate. Fifty years ago, a more general relationship was proposed, in which cell mass was equal to the initiation mass multiplied by 2 to the power of the ratio of the total time of C and D periods to the doubling time. This relationship has recently been experimentally confirmed by perturbing doubling time, C period, D period, or initiation mass. However, the underlying molecular mechanism remains unclear. Here, we developed a theoretical model for initiator protein DnaA mediating DNA replication initiation in Escherichia coli. We introduced an initiation probability function for competitive binding of DnaA-ATP and DnaA-ADP at oriC. We established a kinetic description of regulatory processes (e.g., expression regulation, titration, inactivation, and reactivation) of DnaA. Cell size as a spatial constraint also participates in the regulation of DnaA. By simulating DnaA kinetics, we obtained a regular DnaA oscillation coordinated with cell cycle and a converged cell size that matches replication initiation frequency to the growth rate. The relationship between the simulated cell size and growth rate, C period, D period, or initiation mass reproduces experimental results. The model also predicts how DnaA number and initiation mass vary with perturbation parameters, comparable with experimental data. The results suggest that 1) when growth rate, C period, or D period changes, the regulation of DnaA determines the invariance of initiation mass; 2) ppGpp inhibition of replication initiation may be important for the growth rate independence of initiation mass because three possible mechanisms therein produce different DnaA dynamics, which is experimentally verifiable; and 3) perturbation of some DnaA regulatory process causes a changing initiation mass or even an abnormal cell cycle. This study may provide clues for concerted control of cell size and cell cycle in synthetic biology.

Abstract IA03: Regulation of growth by the mTOR pathway

Abstract mTOR is the target of the immunosuppressive and anticancer drug rapamycin and the central component of a nutrient- and hormone-sensitive signaling pathway that regulates cell growth and proliferation. We now appreciate that this pathway becomes deregulated in many human cancers and has key roles in the control of metabolism, cell and organ size, and aging. We have identified two distinct mTOR-containing proteins complexes, one of which regulates growth through S6K and another that regulates cell survival and metabolism through Akt. These complexes, called mTORC1 and mTORC2, define both rapamycin-sensitive and -insensitive branches of the mTOR pathway. Over the last few years we have focused on how nutrients, particularly amino acids, regulate mTORC1. We have identified a complex signaling pathway that relays amino acid availability to mTORC1 through the heterodimeric Rag GTPases. We recently discovered several of the amino acid sensors for the pathway. I will discuss new results from our lab on the regulation and functions of mTORC1. Citation Format: David M. Sabatini. Regulation of growth by the mTOR pathway [abstract]. In: Proceedings of the AACR Special Conference on Targeting PI3K/mTOR Signaling; 2018 Nov 30-Dec 8; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Res 2020;18(10_Suppl):Abstract nr IA03.

Nutrient-Dependent Trade-Offs between Ribosomes and Division Protein Synthesis Control Bacterial Cell Size and Growth

Cell size control emerges from a regulated balance between the rates of cell growth and division. In bacteria, simple quantitative laws connect cellular growth rate to ribosome abundance. However, it remains poorly understood how translation regulates bacterial cell size and shape under growth perturbations. Here, we develop a whole-cell model for growth dynamics of rod-shaped bacteria that links ribosomal abundance with cell geometry, division control, and the extracellular environment. Our study reveals that cell size maintenance under nutrient perturbations requires a balanced trade-off between ribosomes and division protein synthesis. Deviations from this trade-off relationship are predicted under translation inhibition, leading to distinct modes of cell morphological changes, in agreement with single-cell experimental data on Escherichia coli. Furthermore, by calibrating our model with experimental data, we predict how combinations of nutrient-, translational-, and shape perturbations can be chosen to optimize bacterial growth fitness and antibiotic resistance.

Abstract 1432: TORC2 dependent control of cell growth and size in cancer cells

Abstract Severe defects in cell growth and size are a nearly universal feature of cancer cells and have provided a basis for cancer pathology for over 100 years; however, the underlying mechanisms remain largely unknown. Recent work in budding yeast has shown that a highly conserved signaling network surrounding Tor complex 2 (TORC2) controls cell growth and size. A key component of the network is the yeast homolog of serum and glucocorticoid-regulated kinase (SGK), which controls production of ceramide signaling lipids that control cell growth and size. Here, we present evidence that a similar TORC2 network controls cell growth and size in mammalian cells. In addition, we show that expression of oncogenic drivers in NIH3T3 cells causes defects in cell size, as well as defects in TORC2-dependent control of cell size. Cancer cells also show severe defects in TORC2-dependent control of cell size. Our working hypothesis is that the TORC2 network is downstream of multiple oncogenes, and that aberrant TORC2 signaling is a major cause of the nearly universal size defects observed in cancer cells. A better understanding of the mechanisms that control cell growth and size in normal cells, and how they go awry in cancer, could identify new targets for drugs to improve cancer therapies. Citation Format: Jerry T. DeWitt, Douglas Kellogg. TORC2 dependent control of cell growth and size in cancer cells [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1432.

Fabrication of high drug loading levetiracetam tablets using semi-solid extrusion 3D printing

The present study was designed to appraise the superiority of semi-solid extrusion 3D printing technology in the fabrication of high drug loading (96% w/w) levetiracetam tablets. The tablets were developed as three geometrical shapes (cylinder, oval and torus) and prepared with hydroxypropyl cellulose (HPC-M) as a binder and croscarmellose sodium (CCMC-Na) as disintegrant. The printed high drug loading tablets had satisfactory physical performance and mechanical properties. SEM, DSC and XRPD, as well as FTIR, showed that the physical forms of levetiracetam in the tablets was not affected in the printing process, and there was no detectable interaction between the levetiracetam and the excipients. The lattice architecture was designed and modified by control of the lattice cell size to accelerate the drug release rate. As a result, a fast drug release from the high drug loading levetiracetam tablets that showed more than 85% drug release within 15 min was obtained for all geometrically shaped tablets of different infill percentages, except for the 100% infill cylinder tablets. The optimum (greatest) drug release (97.45% within 2 min) was achieved in the torus tablets with 50% infill (the cell size was 1.0 mm). The potential of manufacturing high drug loading levetiracetam tablets was thus demonstrated, and the effectiveness of 3D extrusion printing in accelerating the drug release rate by control of the lattice cell size was assessed.

PH-dependent activation of cytokinesis modulates Escherichia coli cell size.

Cell size is a complex trait, derived from both genetic and environmental factors. Environmental determinants of bacterial cell size identified to date primarily target assembly of cytosolic components of the cell division machinery. Whether certain environmental cues also impact cell size through changes in the assembly or activity of extracytoplasmic division proteins remains an open question. Here, we identify extracellular pH as a modulator of cell division and a significant determinant of cell size across evolutionarily distant bacterial species. In the Gram-negative model organism Escherichia coli, our data indicate environmental pH impacts the length at which cells divide by altering the ability of the terminal cell division protein FtsN to localize to the cytokinetic ring where it activates division. Acidic environments lead to enrichment of FtsN at the septum and activation of division at a reduced cell length. Alkaline pH inhibits FtsN localization and suppresses division activation. Altogether, our work reveals a previously unappreciated role for pH in bacterial cell size control.

Nutrient-Dependent Trade-Offs between Ribosomes and Division Protein Synthesis Control Bacterial Growth and Cell Shape

Cell size control emerges from a regulated balance between the rates of cell growth and division. In bacteria, simple quantitative laws connect cellular growth rate to ribosome abundance. However, it remains poorly understood how translation regulates bacterial cell size and shapes under growth perturbations. Here we develop a whole-cell model for growth dynamics in rod-shaped bacteria that links ribosomal abundance with cell geometry, division control, and the extracellular environment. Our study reveals that cell shape maintenance under nutrient perturbations requires a balanced trade-off between ribosomes and division protein synthesis. Deviations from this trade-off relationship is predicted under translational perturbations, leading to distinct modes of cell morphological changes, in agreement with single-cell experimental data on Escherichia coli. Furthermore, by calibrating our model with experimental data, we predict how combinations of nutrient-, translational- and shape perturbations can be chosen to optimize bacterial growth fitness and drug resistance.

Cell seeding simulation on micropatterned islands shows cell density depends on area to perimeter ratio, not on island size or shape

Protein micropatterned substrates have been used to control cell size, shape, and cell–cell contacts, characteristics that influence a range of cell behaviors from early cell differentiation to late stages of maturation. Knowing the initial island cell seeding density is important to interpreting results and understanding downstream cell behavior. While studies routinely report the intended or target cell seeding density, they do not report the actual cell seeding density on the islands. As cells proliferate, differences in initial cell seeding density could compound and may lead to misinterpretation of results. In this work, we present a cell seeding simulation and apply it to 100s of islands with a range of geometries (sizes and shapes) to explore how island cell seeding density relates to the target or unpatterned cell seeding density. We first experimentally validate the simulation and then show that normalized island cell seeding density depends on island size, shape, and spacing, but can be predicted solely from island area to perimeter ratio, A2P, via a power law relationship for a wide range of island geometries. Interestingly, normalized island cell seeding density is the same as the normalized unpatterned cell seeding density for A2P ≥ 17 µm. This simulation will help to design micropatterned substrates and to have more accurate representation of the island cell seeding density at the start of experiments. By knowing the island cell seeding density, we can more easily reproduce results across research groups to understand the roles of cell–cell contact and cell size and shape on cell behavior. Statement of SignificanceWe present a cell seeding simulation on protein-micropatterned substrates and use it to simulate seeding across 100s of island geometries (size, shape, and spacing) covering two orders of magnitude in size. The simulation shows that island cell density varies significantly with island geometry compared to the target seeding density. However, island cell density can be predicted from one geometric parameter – the island's area to perimeter ratio. Results will help direct researchers on how to achieve uniform cell density across all island geometries. Since cell density and island shape both influence cell behaviors, such as differentiation, this simulation may help to isolate these factors, facilitate micropatterned substrate design, and provide a mechanism for more reproduceable results across studies.

Phosphoproteomics Reveals Novel Targets and Phosphoprotein Networks in Cell Cycle Mediated by Dsk1 Kinase.

As the ortholog of human SR protein kinase 1 in fission yeast Schizosaccharomyces pombe, Dsk1 specifically phosphorylates SR proteins (serine/arginine-rich proteins) and promotes splicing of nonconsensus introns. The SRPK (SR protein-specific kinase) family performs highly conserved functions in eukaryotic cells including cell proliferation, differentiation, development, and apoptosis. Although Dsk1 was originally identified as a mitotic regulator, its specific targets involved in cell cycle have yet been unexplored. In this study, using a phosphoproteomics approach, we examined differential protein phosphorylation between wild-type cells and dsk1-deletion mutants. We found reduced phosphorylation of 149 peptides corresponding to 133 proteins in the dsk1-null cells. These proteins are involved in various cellular processes, including cytoskeleton organization and signal transduction, and specifically enriched in multiple steps of cell cycle control. Further, targeted MS analyses and in vitro biochemical assays established Cdr2 protein kinase and kinesin motor Klp9 as novel substrates of Dsk1, which function in cell size control for mitotic entry and in chromosome segregation for mitotic exit, respectively. The phosphoprotein networks mediated by Dsk1 reveal, for the first time, the molecular links connecting Dsk1 to mitotic phase transition, sister-chromatid segregation, and cytokinesis, providing further evidence of Dsk1's diverse influence on cell cycle progression and regulation.

Mechanistic Origin of Cell-size Control and Homeostasis in Bacteria

Evolutionarily divergent bacteria share a common phenomenological strategy for cell-size homeostasis under steady-state conditions. In the presence of inherent physiological stochasticity, cells following this “adder” principle gradually return to their steady-state size by adding a constant volume between birth and division regardless of their size at birth. However, the mechanism of the adder has been unknown despite intense efforts. In this work, we show that the adder is a direct consequence of two general processes in biology: (1) threshold -- accumulation of initiators and precursors required for cell division to a respective fixed number, and (2) balanced biosynthesis -- maintenance of their production proportional to volume growth. This mechanism is naturally robust to static growth inhibition, but also allows us to “reprogram” cell-size homeostasis in a quantitatively predictive manner in both Gram-negative Escherichia coli and Gram-positive Bacillus subtilis. By generating dynamic oscillations in the concentration of the division protein FtsZ, we were able to oscillate cell size at division and systematically break the adder. In contrast, periodic induction of replication initiator protein DnaA caused oscillations in cell size at initiation, but did not alter division size or the adder. Finally, we were able to restore the adder phenotype in slow-growing E. coli, the only known steady-state growth condition wherein E. coli significantly deviates from the adder, by repressing active degradation of division proteins. Together these results show that cell division and replication initiation are independently controlled at the gene-expression level, and that division processes exclusively drive cell-size homeostasis in bacteria.

A Single Light-Responsive Sizer Can Control Multiple-Fission Cycles in Chlamydomonas.

Most eukaryotic cells execute binary division after each mass doubling in order to maintain size homeostasis by coordinating cell growth and division. By contrast, the photosynthetic green alga Chlamydomonas can grow more than 8-fold during daytime and then, at night, undergo rapid cycles of DNA replication, mitosis, and cell division, producing up to 16 daughter cells. Here, we propose a mechanistic model for multiple-fission cycles and cell-size control in Chlamydomonas. The model comprises a light-sensitive and size-dependent biochemical toggle switch that acts as a sizer, guarding transitions into and exit from a phase of cell-division cycle oscillations. This simple "sizer-oscillator" arrangement reproduces the experimentally observed features of multiple-fission cycles and the response of Chlamydomonas cells to different light-dark regimes. Our model also makes specific predictions about the size dependence of the time of onset of cell division after cells are transferred from light to dark conditions, and we confirm these predictions by single-cell experiments. Collectively, our results provide a new perspective on the concept of a "commitment point" during the growth of Chlamydomonas cells and hint at intriguing similarities of cell-size control in different eukaryotic lineages.

YAP regulates cell size and growth dynamics via non-cell autonomous mediators.

The Hippo pathway regulates organ size, regeneration, and cell growth by controlling the stability of the transcription factor, YAP (Yorkie in Drosophila). When there is tissue damage, YAP is activated allowing the restoration of homeostatic tissue size. The exact signals by which YAP is activated are still not fully understood, but its activation is known to affect both cell size and cell number. Here we used cultured cells to examine the coordinated regulation of cell size and number under the control of YAP. Our experiments in isogenic HEK293 cells reveal that YAP can affect cell size and number by independent circuits. Some of these effects are cell autonomous, such as proliferation, while others are mediated by secreted signals. In particular CYR61, a known secreted YAP target, is a non-cell autonomous mediator of cell survival, while another unidentified secreted factor controls cell size.

From single-cell variability to population growth.

Single-cell experiments have revealed cell-to-cell variability in generation times and growth rates for genetically identical cells. Theoretical models relating the fluctuating generation times of single cells to the population growth rate are usually based on the assumption that the generation times of mother and daughter cells are uncorrelated. This assumption, however, is inconsistent with the exponential growth of cell volume in time observed for many cell types. Here we develop a more general and biologically relevant model in which cells grow exponentially and generation times are correlated in a manner which controls cell size. In addition to the fluctuating generation times, we also allow the single-cell growth rates to fluctuate and account for their correlations across the lineage tree. Surprisingly, we find that the population growth rate only depends on the distribution of single-cell growth rates and their correlations.

Ectopic expression of the transcription factor CUC2 restricts growth by cell cycle inhibition in Arabidopsis leaves

ABSTRACTPlant leaf margins produce small outgrowths or teeth causing serration in a regular arrangement, which is specified by auxin maxima. In Arabidopsis, the spatiotemporal pattern of auxin dependents on both, the transcription factor CUC2 and the signal peptide EPFL2, a ligand of the growth-promoting receptor kinase ERECTA (ER). Ectopic expression of CUC2 can have contrary effects on leaf growth. Ubiquitous expressed CUC2 suppresses growth in the whole leaf, whereas cuc2-1D mutants have enlarged leaves, through ER-dependent cell proliferation in the teeth. Here we investigated the growth dynamics of cuc2-1D leaves and the growth restricting the function of CUC2 using the ubiquitous inducible CUC2-GR transgene. In time courses, we dissected the serration promoting the function of CUC2 in the leaf margin and ectopic growth inhibition by CUC2 in the leaf plate. We found that CUC2 limits growth rather by cell cycle inhibition than by cell size control. Furthermore, endogenous CUC2 was rapidly induced by CUC2-GR indicating a possible auto-inducible feedback. In contrast, EPFL2 was quickly decreased by transient CUC2 induction but increased in cuc2-3 mutant leaves suggesting that CUC2 can also counteract the EPFL2-ER pathway. Therefore, tooth growth promotion and growth inhibition by CUC2 involve partially the same mechanism but in contrary ways.

Initiation of chromosome replication controls both division and replication cycles in E. coli through a double-adder mechanism.

Living cells proliferate by completing and coordinating two cycles, a division cycle controlling cell size and a DNA replication cycle controlling the number of chromosomal copies. It remains unclear how bacteria such as Escherichia coli tightly coordinate those two cycles across a wide range of growth conditions. Here, we used time-lapse microscopy in combination with microfluidics to measure growth, division and replication in single E. coli cells in both slow and fast growth conditions. To compare different phenomenological cell cycle models, we introduce a statistical framework assessing their ability to capture the correlation structure observed in the data. In combination with stochastic simulations, our data indicate that the cell cycle is driven from one initiation event to the next rather than from birth to division and is controlled by two adder mechanisms: the added volume since the last initiation event determines the timing of both the next division and replication initiation events.