Kinetics of microbial cell growth

As a rate equation of microbial cell growth, the Monod equation is widely used. However, this equation cannot fully correspond to real courses of microbial cell growth in many batch cultivations. Especially, predicted values based on this equation do not agree with observed values in many continuous cultivations. In this paper, which introduces new concepts of critical concentration and coefficient of consumption activity, the growth rate equation which corresponds to the whole period including lag period is newly derived and characteristics of microbial cell growth in batch cultivation are clarified. Further, applying the new rate equation to continuous cultivation, a general equation with which to calculate cell concentration is derived and characteristics of microbial cell growth in continuous cultivation are clarified. The calculated values of cell concentration based on the new theory showed quite good agreement with the observed values in both batch and continuous cultivation.     

An industrial application of multiparameter flow cytometry: assessment of cell physiological state and its application to the study of microbial fermentations.

BACKGROUND: When using traditional microbiological techniques to monitor cell proliferation and viability, stressed, sublethally injured, or otherwise "viable but nonculturable" cells often go undetected. Because of this, such cells often are not considered by mathematical models used to predict bioprocess performance on scale-up and inaccuracies result. Therefore, analytical techniques, decoupled from postsampling growth, are desirable to rapidly monitor individual cell physiologic states during microbial fermentations. METHODS: Microbial cells, including Escherichia coli, Rhodococus sp., and Sacharomyces cerevisiae, were taken at various stages from a range of fermentation processes and stained with one of three mixtures of fluorescent stains: rhodamine 123/propidium iodide, bis-oxonol/propidium iodide, or bis-oxonol/ethidium bromide/propidium iodide. An individual cell's physiologic state was assessed with a Coulter Epics Elite analyzer based on the differential uptakes of these fluorescent stains. RESULTS: It was possible to resolve an individual cell's physiologic state beyond culturability based on the functionality of dye extrusion pumps and the presence or absence of an intact polarized cytoplasmic membrane, enabling assessment of population heterogeneity. This approach allows the simultaneous differentiation of at least four functional subpopulations in microbial populations. CONCLUSIONS: Fluorescent staining methods used in our laboratories have led to a functional classification of the physiological state of individual microbial cells based on reproductive activity, metabolic activity, and membrane integrity. We have used these techniques extensively for monitoring the stress responses of microorganisms in such diverse areas as bioremediation, biotransformation, food processing, and microbial fermentation; microbial fermentation is discussed in this article.     

Swarming characteristics of Proteus mirabilis under anaerobic and aerobic conditions

Nutrients have a pronounced effect on the growth and swarming behaviour of Proteus mirabilis 7002. Iron, zinc, amino acids, and dioxygen are important for rapid growth and normal swarming. Anaerobically grown cultures of P. mirabilis 7002 were unable to swarm on anaerobically maintained rich nutrient agar. Upon exposure to aerobic conditions, P. mirabilis 7002 resumed swarming behaviour. Scanning electron microscopy was used to demonstrate the presence of community organization and mature rafts during normal swarming. These results support the importance of dioxygen and redox status in cell differentiation.     

Coupling of proadipocyte growth arrest and differentiation. II. A cell cycle model for the physiological control of cell proliferation

Experimental evidence is presented that supports a cell cycle model showing that there are five distinct biological processes involved in proadipocyte differentiation. These include: (a) growth arrest at a distinct state in the G1 phase of the cell cycle; (b) nonterminal differentiation; (c) terminal differentiation; (d) loss of the differentiated phenotype; and (e) reinitiation of cell proliferation. Each of these events is shown to be regulated by specific human plasma components or other physiological factors. At two states designated GD and GD', coupling of growth arrest and differentiation is shown to occur. We propose that these mechanisms for the coupling of growth arrest and differentiation are physiologically significant and mimic the regulatory processes that control stem cell proliferation in vivo.     

Relation of DNA replication and cell division frequency in a population of microorganisms to the cell growth rate

DNA replication and the frequency of cell division were studied in a microbial population in relation to the rate of cell growth. The relationship is based on the law of cell biomass linear increase during the cell cycle and on the exponential law of mean cell mass increase, and depends on the specific rate of population growth. The cell mass in the initiation of DNA replication is correlated with the number of initiation points basing on the Cooper-Helmstetter theory of DNA replication and taking account of the linear growth of mass in one cell. Possible applications of these relationships are discussed.     

Swarming Characteristics of Proteus mirabilis Under Anaerobic and Aerobic Conditions

Nutrients have a pronounced effect on the growth and swarming behaviour of Proteus mirabilis 7002. Iron, zinc, amino acids, and dioxygen are important for rapid growth and normal swarming. Anaerobically grown cultures of P. mirabilis 7002 were unable to swarm on anaerobically maintained rich nutrient agar. Upon exposure to aerobic conditions, P. mirabilis 7002 resumed swarming behaviour. Scanning electron microscopy was used to demonstrate the presence of community organization and mature rafts during normal swarming. These results support the importance of dioxygen and redox status in cell differentiation.     

Transient transfection of the human myeloid cell line Mono Mac 6 using electroporation

Leukemic cell lines such as Mono Mac 6 provide an excellent model for studying changes in gene expression during induction of cell differentiation. Mono Mac 6 cells can be induced to differentiate from their immature state to cells resembling morphologically and functionally mature monocytes and macrophages by various stimuli such as calcitriol and transforming growth factor-beta. During differentiation, the expression of differentiation markers such as the cell surface antigen CD14 or other differentiation-related genes such as 5-lipoxygenase are strongly increased. Thus, this cell line constitutes an excellent model system to study the regulation of gene expression by inducers of cell differentiation. However, myeloid cell lines are often refractory to transfection by calcium phosphate or DEAE dextran so that reporter gene assays are difficult to perform. We have established a transient transfection protocol for Mono Mac 6 cells using electroporation, a 5-lipoxygenase promoter luciferase reporter gene construct, and the secreted alkaline phosphatase as an internal standard.     

小G蛋白RhoA与细胞发育

细胞发育是细胞内各种复杂反应在时间和空间上有序协调的过程, 包括细胞增殖、胞质分裂、细胞运动、细胞分化和组织生成等．作为G蛋白家族重要成员的RhoA起了重要的调控作用：在G蛋白调控因子(如GEF XPLN、 p115RhoGEF、p190RhoGAP等）的作用下,活化的RhoA依次与效应蛋白分子（如ROCK1/2、 mDia、 PRK1/2、 citron 激酶等）结合, 从而开启了下游的信号通路, 最终使细胞能够迅速地对外界刺激做出反应．干细胞是一类既能自我更新又能特异分化形成终末分化细胞的细胞, 而 RhoA对干细胞的自我更新和定向分化也起着“开关"作用, 对RhoA信号通路的调节调控了胚胎发生、神经发生、造血生成及成骨和肌肉生成等干细胞分化发育过程．肿瘤是正常细胞在各种因素长期作用下增殖异常的产物, 而RhoA异常表达与肿瘤的发生、侵润与转移密切相关, RhoA信号通路与p53等基因的交互作用在肿瘤的发育过程中也发挥了重要的作用．     

Interferons in cell growth and development

Interferons (IFNs), besides inducing an antiviral state in uninfected cells, are also natural regulatory molecules. They play a key role in the regulation both of cell growth and differentiation, and of development. Up- or down-regulation of oncogenes by IFNs may be one of the mechanisms by which these molecules affect cell physiology. The list of IFN-inducible proteins continues to grow rapidly and future research should identify among these the mediators of the biological effects of IFNs.     

Role of interferons in cell differentiation and development

Interferons (IFNs), besides inducing an antiviral state in uninfected cells, are also natural regulatory molecules. They play a key role in the regulation both of cell growth and differentiation, and of development. Up-or down-regulation of oncogenes by IFNs may be one of the mechanisms by which these molecules affect cell physiology. The list of IFN-inducible proteins continues to grow rapidly and future research should identify among these the mediators of the biological effects of IFNs.     

On the mass distribution model for microbial cell populations

The full implications of a statistical model for growth of a microbial cell population using cell mass as the index of physiological state have been examined by solving the partial differential integral equations resulting from the model. Calculations reveal that a lag phase is predicted during the initial stages of batch growth although no specific cellular mechanism for the phenomenon of lag had been incorporated into the model. The model predicts several situations of batch and continuous growth in which the population density and biomass concentration show opposing trends due to significant variation in the cell mass distribution with time.     

Designing the deconstruction of plant cell walls

Cell wall architecture plays a key role in the regulation of plant cell growth and differentiation into specific cell types. Gaining genetic control of the amount, composition, and structure of cell walls in different cell types will impact both the quantity and yield of fermentable sugars from biomass for biofuels production. The recalcitrance of plant biomass to degradation is a function of how polymers crosslink and aggregate within walls. Novel imaging technologies provide an opportunity to probe these higher order structures in their native state. If cell walls are to be efficiently deconstructed enzymatically to release fermentable sugars, then we require a detailed understanding of their structural organization in future bioenergy crops.     

The organelle of differentiation in embryos: the cell state splitter

The cell state splitter is a membraneless organelle at the apical end of each epithelial cell in a developing embryo. It consists of a microfilament ring and an intermediate filament ring subtending a microtubule mat. The microtubules and microfilament ring are in mechanical opposition as in a tensegrity structure. The cell state splitter is bistable, perturbations causing it to contract or expand radially. The intermediate filament ring provides metastability against small perturbations. Once this snap-through organelle is triggered, it initiates signal transduction to the nucleus, which changes gene expression in one of two readied manners, causing its cell to undergo a step of determination and subsequent differentiation. The cell state splitter also triggers the cell state splitters of adjacent cells to respond, resulting in a differentiation wave. Embryogenesis may be represented then as a bifurcating differentiation tree, each edge representing one cell type. In combination with the differentiation waves they propagate, cell state splitters explain the spatiotemporal course of differentiation in the developing embryo. This review is excerpted from and elaborates on “Embryogenesis Explained” (World Scientific Publishing, Singapore, 2016).     

Craniofacial sutures: Signaling centres integrating mechanosensation,cell signaling,and cell differentiation

Cranial sutures are dynamic structures in which stem cell biology, bone formation, and mechanical forces interface, influencing the shape of the skull throughout development and beyond. Over the past decade, there has been significant progress in understanding mesenchymal stromal cell (MSC) differentiation in the context of suture development and genetic control of suture pathologies, such as craniosynostosis. More recently, the mechanosensory function of sutures and the influence of mechanical signals on craniofacial development have come to the forefront. There is currently a gap in understanding of how mechanical signals integrate with MSC differentiation and ossification to ensure appropriate bone development and mediate postnatal growth surrounding sutures. In this review, we discuss the role of mechanosensation in the context of cranial sutures, and how mechanical stimuli are converted to biochemical signals influencing bone growth, suture patency, and fusion through mediation of cell differentiation. We integrate key knowledge from other paradigms where mechanosensation forms a critical component, such as bone remodeling and orthodontic tooth movement. The current state of the field regarding genetic, cellular, and physiological mechanisms of mechanotransduction will be contextualized within suture biology.     

A mathematical model for cell differentiation,as an evolutionary and regulated process

We introduce an approach which allows one to introduce the concept of cell plasticity into models for tissue regeneration. In contrast to most of the recent models for tissue regeneration, cell differentiation is considered a gradual process, which evolves in time and which is regulated by an arbitrary number of parameters. In the current approach, cell differentiation is modelled by means of a differentiation state variable. Cells are assumed to differentiate into an arbitrary number of cell types. The differentiation path is considered as reversible, unless differentiation has fully completed. Cell differentiation is incorporated into the partial differential equations (PDEs), which model the tissue regeneration process, by means of an advection term in the differentiation state space. This allows one to consider the differentiation path of cells, which is not possible if a reaction-like term is used for differentiation. The boundary conditions, which should be specified for the general PDEs, are derived from the flux of the fully non-differentiated cells and from the irreversibility of the fully completed differentiation process. An application of the proposed model for peri-implant osseointegration is considered. Numerical results are compared with experimental data. Potential lines of further development of the present approach are proposed.     

Programmed cell death as one of the stages of streptomycete differentiation

Programmed cell death (PCD), i.e., active, genetically determined cell death controlled by special intracellular programs, is a necessary part of development of living organisms. PCD of streptomycetes, a widespread and biotechnologically important group of mycelial bacteria, is poorly known, in contrast to an immense amount of data on their growth processes. This review deals with the results of PCD studies in streptomycetes as one of the stages of their development, considered as a part of analysis of growth and differentiation of this bacterial group. PCD events in streptomycetes are considered together with their other feautres, which support analogies with multicellular organisms. The results of investigation of PCD in streptomycetes are required for development of new approaches to optimization of the yield of their biosynthetic products. Basic PCD research is of medical and pharmacological importance for development of fundamentally new approaches to counteracting microbial pathogens.