Physiological State Of Cells Research Articles

Alternative Polyadenylation: Another Foe in Cancer.

Advancements in sequencing and transcriptome analysis methods have led to seminal discoveries that have begun to unravel the complexity of cancer. These studies are paving the way toward the development of improved diagnostics, prognostic predictions, and targeted treatment options. However, it is clear that pieces of the cancer puzzle are still missing. In an effort to have a more comprehensive understanding of the development and progression of cancer, we have come to appreciate the value of the noncoding regions of our genomes, partly due to the discovery of miRNAs and their significance in gene regulation. Interestingly, the miRNA-mRNA interactions are not solely dependent on variations in miRNA levels. Instead, the majority of genes harbor multiple polyadenylation signals on their 3' UTRs (untranslated regions) that can be differentially selected on the basis of the physiologic state of cells, resulting in alternative 3' UTR isoforms. Deregulation of alternative polyadenylation (APA) has increasing interest in cancer research, because APA generates mRNA 3' UTR isoforms with potentially different stabilities, subcellular localizations, translation efficiencies, and functions. This review focuses on the link between APA and cancer and discusses the mechanisms as well as the tools available for investigating APA events in cancer. Overall, detection of deregulated APA-generated isoforms in cancer may implicate some proto-oncogene activation cases of unknown causes and may help the discovery of novel cases; thus, contributing to a better understanding of molecular mechanisms of cancer. Mol Cancer Res; 14(6); 507-17. ©2016 AACR.

AMPK As A Target in Rare Diseases.

The AMP-activated protein kinase (AMPK) has emerged as an important sensor of signals that control cellular energy balance in all eukaryotes. AMPK is also involved in fatty acid oxidation, glucose transport, antioxidant defense, mitochondrial biogenesis and the modulation of inflammatory processes. The numerous roles of AMPK in cell physiological and pathological states justified the notable increase in the number of publications in previous years, with almost 1500 scientific articles relative to this kinase in 2014. Due to its role in maintaining energy balance, a dysfunction in AMPK signalling pathway may result in perturbations at the systemic level that contribute to the development of many disease conditions. Among them, more than 7000 poorly-known rare diseases are particularly of social and scientific interest because they are usually chronically debilitating or even lifethreatening and lack effective and safe treatment. Several authors have demonstrated AMPK alterations and the beneficial effect of treatments with drugs regulating AMPK activity in some of these low prevalence pathologies. Among these rare diseases in which AMPK can play an important pathological role are mitochondrial disorders, muscular dystrophies, cardiovascular diseases, neurodegenerative pathologies, or even some types of cancer for the importance of AMPK as a suppressor of cell proliferation. This review focuses on current knowledge about the pathophysiological roles of AMPK and future approaches as therapeutic targeting in rare diseases.

Micro RNAs: an arguable appraisal in medicine.

Micro RNAs (miRNAs) represent a newly discovered class of regulatory molecules in the human body. miRNA is a short double stranded RNA sequence interfering with mRNA, causing in most cases, inhibition of translation. Synthesis of miRNAs shows an increasing developmental pattern and postnatally miRNAs are synthesized in all cells possessing transcriptional machinery. miRNAs usually target several mRNAs and therefore conclusive evidences proving their functions are not always ease to be acquired. In spite of this difficulty, functions of miRNAs were firmly established in the development, the cardiovascular and neural diseases, and cancer. Many miRNAs have been reported to be associated with physiological state of cells and/or tissues. This finding becomes fundamental, especially when consider that these miRNAs can be released from cell into intracellular space or circulation. Correlation between miRNA production in tissues and its contribution to multisource miRNA pool in the circulation is in a focus of biomarker-oriented researchers. Recently, circulating miRNAs have been suggested to be applicable as biomarkers in several types of cancer, cardiovascular injury, and diabetes. Role of miRNAs in the organism intercellular signaling is still under the broad investigation. Several miRNA mimics, intended for treatment of disease, are being currently tested in the clinical trials.

Influence of cell physiological state on gene delivery to T lymphocytes by chimeric adenovirus Ad5F35.

Adoptive transfer of genetically-modified T cells is a promising approach for treatment of both human malignancies and viral infections. Due to its ability to efficiently infect lymphocytes, the chimeric adenovirus Ad5F35 is potentially useful as an immunotherapeutic for the genetic modification of T cells. In previous studies, it was found that the infection efficiency of Ad5F35 was significantly increased without enhanced expression of the viral receptor after T cell stimulation; however, little is known about the underlying mechanism. Nonetheless, cell physiology has long been thought to affect viral infection. Therefore, we aimed to uncover the physiologic changes responsible for the increased infection efficiency of Ad5F35 following T cell stimulation. Given the complexity of intracellular transport we analyzed viral binding, entry, and escape using a Jurkat T cell model and found that both cell membrane fluidity and endosomal escape of Ad5F35 were altered under different physiological states. This, in turn, resulted in differences in the amount of virus entering cells and reaching the cytoplasm. These results provide additional insight into the molecular mechanisms underlying Ad5F35 infection of T cells and consequently, will help further the clinical application of genetically-modified T cells for immunotherapy.

Effect of Medium pH on Rhodosporidium toruloides NCYC 921 Carotenoid and Lipid Production Evaluated by Flow Cytometry.

The effect of the culture medium pH (3.5-6.0) on the carotenoid and lipid (as fatty acids) production by the yeast Rhodosporidium toruloides NCYC 921 was studied. Flow cytometry was used to evaluate the yeast's physiological response to different culture medium pH values. The yeast biomass concentration and lipid content were maxima at pH 4.0 (5.90g/L and 21.85% w/w, respectively), while the maximum carotenoid content (63.37μg/g) was obtained at pH 5.0. At the exponential phase, the yeast cell size and internal complexity were similar, at different medium pH. At the stationary phase, the yeast cell size and internal complexity decreased as the medium pH increased. At the exponential phase, the proportion of cells with polarized membranes was always high (>80%) but at the stationary phase, the proportion of yeast cells with depolarized membranes was dominant (>65%) and increased with the medium pH increase. The results here reported may contribute for yeast bioprocesses optimization. For the first time, multiparameter flow cytometry was used to evaluate the impact of medium pH changes on the yeast cell physiological status, specifically on the yeast membrane potential, membrane integrity, cell size and internal complexity.

Apparent exchange rate for breast cancer characterization.

Although diffusion MRI has shown promise for the characterization of breast cancer, it has low specificity to malignant subtypes. Higher specificity might be achieved if the effects of cell morphology and molecular exchange across cell membranes could be disentangled. The quantification of exchange might thus allow the differentiation of different types of breast cancer cells. Based on differences in diffusion rates between the intra‐ and extracellular compartments, filter exchange spectroscopy/imaging (FEXSY/FEXI) provides non‐invasive quantification of the apparent exchange rate (AXR) of water between the two compartments. To test the feasibility of FEXSY for the differentiation of different breast cancer cells, we performed experiments on several breast epithelial cell lines in vitro. Furthermore, we performed the first in vivo FEXI measurement of water exchange in human breast. In cell suspensions, pulsed gradient spin‐echo experiments with large b values and variable pulse duration allow the characterization of the intracellular compartment, whereas FEXSY provides a quantification of AXR. These experiments are very sensitive to the physiological state of cells and can be used to establish reliable protocols for the culture and harvesting of cells. Our results suggest that different breast cancer subtypes can be distinguished on the basis of their AXR values in cell suspensions. Time‐resolved measurements allow the monitoring of the physiological state of cells in suspensions over the time‐scale of hours, and reveal an abrupt disintegration of the intracellular compartment. In vivo, exchange can be detected in a tumor, whereas, in normal tissue, the exchange rate is outside the range experimentally accessible for FEXI. At present, low signal‐to‐noise ratio and limited scan time allows the quantification of AXR only in a region of interest of relatively large tumors. © 2016 The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd.

Cancer Cell Mechanotyping: From Screening to Disease Biophysics

Cell mechanical phenotype, or ‘mechanotype’, determines how physical stresses are transduced into the cell, and can also signal a transformation in a cell's physiological state, such as in malignant transformation. If we could obtain higher throughput measurements of cell mechanotype, this would enable a deeper understanding of the molecular origins of cell mechanotype, as well as screening based on mechanotype. To address these needs, we recently invented a mechanotyping platform that we call Parallel Microfiltration (PMF). I will discuss how we are applying our PMF method to develop a deeper understanding of cell mechanotype in cancer progression by screening panels of ovarian, breast, and pancreatic cancer cells, including those treated with small molecules such as chemotherapy agents or microRNAs. Since our results show that we can detect cells based on their status in epithelial-to-mesenchymal transition and chemoresistance, we are also applying PMF for screening small molecules to identify compounds that have anti-cancer effects.

Generating Primary Fibroblast Cultures from Mouse Ear and Tail Tissues.

Primary cells are derived directly from tissue and are thought to be more representative of the physiological state of cells in vivo than established cell lines. However, primary cell cultures usually have a finite life span and need to be frequently re-established. Fibroblasts are an easily accessible source of primary cells. Here, we discuss a simple and quick experimental procedure to establish primary fibroblast cultures from ears and tails of mice. The protocol can be used to establish primary fibroblast cultures from ears stored at RT for up to 10 days. When the protocol is carefully followed, contaminations are unlikely to occur despite the use of non-sterile tissue stored for extended time in some cases. Fibroblasts proliferate rapidly in culture and can be expanded to substantial numbers before undergoing replicative senescence.

A Dynamic Network Analysis of the Physiological State of Foodborne Pathogens: Application to Escherichia Coli During Osmotic Stress and Comparison with Salmonella Typhimurium

To characterise the physiological state of cells during adaptation to osmotic stress, we decompose the dynamic regulatory network of E. coli into subgraphs. We then compare the results of E. coli and Salmonella. Beside the sigma factor associated with stress, the response involves global regulators that modify nucleoid conformation which has been shown to be different in the two bacteria. In Salmonella, some genes involved in osmotic stress are also linked to virulence regulation. We conclude that decomposition of regulatory networks into subgraphs as a function of environmental conditions may be a useful representation of the physiological state of bacteria.

Bacterial physiology is a key modulator of the antibacterial activity of graphene oxide.

Carbon-based nanomaterials have a great potential as novel antibacterial agents; however, their interactions with bacteria are not fully understood. This study demonstrates that the antibacterial activity of graphene oxide (GO) depends on the physiological state of cells for both Gram-negative and -positive bacteria. GO susceptibility of bacteria is the highest in the exponential growth phase, which are in growing physiology, and stationary-phase (non-growing) cells are quite resistant against GO. Importantly, the order of GO susceptibility of E. coli with respect to the growth phases (exponential ≫ decline > stationary) correlates well with the changes in the envelope ultrastructures of the cells. Our findings are not only fundamentally important but also particularly critical for practical antimicrobial applications of carbon-based nanomaterials.

A Simplified implementation of the O.U.R. stationary liquid mass balance estimation method for On-line monitoring in Animal cell production processes

Many efforts have been invested in the development of culture strategies for animal cell culture process. Several strategies have been studied: batch, fed-batch and perfusion cultures [1]. For implementation of those strategies, a monitoring system for automated, controlled and optimised processes based on simple measurement could be of great interest. Oxygen is a key substrate in animal cell metabolism and its consumption is thus a parameter of great interest for bioprocess monitoring and control. The application of the OUR (Oxygen uptake rate) is investigate here. The main advantages of OUR is that correlates well with the physiological state of cells and also for the prediction of viable cell concentration [2-4]. Different methods for the oxygen uptake rate (OUR) determination in animal cell cultivation have been developed: Dynamic estimation in the liquid phase, the global mass balance in the gas phase, and the Stationary liquid mass balance. Dynamic estimation has a considerable disadvantage because of disturbances suffered by the growing cells because of the necessary variations of the DO concentration. Gas phase balancing has several advantages; knowledge of the kL·a value is not necessary, and yields a higher density of accurate data. However, it has not historically been widely used due to the need for complex and expensive instrumentation like mass spectrometers and extremely accurate DO control systems. The Stationary liquid mass balance method offers minimum cell stress and greatest imation accuracy, but still needs for a significant investment in mass flow controllers as well as some additional instrumentation to determine the oxygen’s molar fraction in the gas phase. Background This works offers a simplified embodiment of the Stationary liquid mass balance method for the continuous estimate of the OUR estimation by means of the use of inexpensive proportional valves and the monitoring of their control signals is introduced and compared with the Global mass balance and Dynamic methods. As far said electrovalves can be considered to be linear, it can be demonstrated through the Mean value theorem for integrals that the mass balance equation for the liquid phase can be expressed as a first order differential equation:

Controlling the feed rate of propanol to optimize erythromycin fermentation by on-line capacitance and oxygen uptake rate measurement.

The aim of the present study was to optimize the feeding proportion of glucose and propanol for erythromycin biosynthesis by real-time monitoring and exploring its limited ratio by the on-line multi-frequency permittivity measurement. It was found that the capacitance values were sensitive to the variation of biomass concentration and microbial morphology as well as the true state of cell growth. It was most favorable to both cell growth and secondary metabolism to keep the ratio of glucose to propanol at 4.3 (g/g). The specific growth rate calculated by the capacitance measurement correctly and accurately reflected the cell physiological state. An appropriate feed rate of propanol was crucial for cell growth and secondary metabolism, as well as to improve the quality of erythromycin-A. In addition, the erythromycin production titer (10,950 U/mL) was further enhanced by 4 % when the propanol feed was regulated by step-down strategy based on both OUR (oxygen uptake rate) and the on-line monitoring capacitance.

Marine bacterial community structure resilience to changes in protist predation under phytoplankton bloom conditions.

To test whether protist grazing selectively affects the composition of aquatic bacterial communities, we combined high-throughput sequencing to determine bacterial community composition with analyses of grazing rates, protist and bacterial abundances and bacterial cell sizes and physiological states in a mesocosm experiment in which nutrients were added to stimulate a phytoplankton bloom. A large variability was observed in the abundances of bacteria (from 0.7 to 2.4 × 10(6) cells per ml), heterotrophic nanoflagellates (from 0.063 to 2.7 × 10(4) cells per ml) and ciliates (from 100 to 3000 cells per l) during the experiment (∼3-, 45- and 30-fold, respectively), as well as in bulk grazing rates (from 1 to 13 × 10(6) bacteria per ml per day) and bacterial production (from 3 to 379 μg per C l per day) (1 and 2 orders of magnitude, respectively). However, these strong changes in predation pressure did not induce comparable responses in bacterial community composition, indicating that bacterial community structure was resilient to changes in protist predation pressure. Overall, our results indicate that peaks in protist predation (at least those associated with phytoplankton blooms) do not necessarily trigger substantial changes in the composition of coastal marine bacterioplankton communities.

Analyzing dynamic cellular morphology in time-lapsed images enabled by cellular deformation pattern recognition.

Computational analysis of cellular morphology aims to provide quantitative information of the global organizational and physiological state of cells, and has long been a major topic of biomedical research. Instead of analyzing morphology of static cells, we concentrate on live-cell deformation in a period of time. According to our observation of dynamic cell behavior, we have assumed that the pattern of cellular deformation is relevant to the cellular state. Moreover, based on our assumption an innovative approach for characterizing the deformation pattern is described and applied into cell classification. After normalizing and aligning cell image sequences, we extract the continuity of deformation at each angle through time-lapse. Then the deformation pattern is given by the histogram of the continuity of deformation. Experimental results demonstrate that the cellular deformation pattern provided by our approach can be applied to discriminate cellular activation. In addition, the deformation pattern recognition makes remarkable progress in the classification of cells.

Advanced continuous cultivation methods for systems microbiology.

Increasing the throughput of systems biology-based experimental characterization of in silico-designed strains has great potential for accelerating the development of cell factories. For this, analysis of metabolism in the steady state is essential as only this enables the unequivocal definition of the physiological state of cells, which is needed for the complete description and in silico reconstruction of their phenotypes. In this review, we show that for a systems microbiology approach, high-resolution characterization of metabolism in the steady state--growth space analysis (GSA)--can be achieved by using advanced continuous cultivation methods termed changestats. In changestats, an environmental parameter is continuously changed at a constant rate within one experiment whilst maintaining cells in the physiological steady state similar to chemostats. This increases the resolution and throughput of GSA compared with chemostats, and, moreover, enables following of the dynamics of metabolism and detection of metabolic switch-points and optimal growth conditions. We also describe the concept, challenge and necessary criteria of the systematic analysis of steady-state metabolism. Finally, we propose that such systematic characterization of the steady-state growth space of cells using changestats has value not only for fundamental studies of metabolism, but also for systems biology-based metabolic engineering of cell factories.

Antimicrobial Tolerance in Biofilms.

The tolerance of microorganisms in biofilms to antimicrobial agents is examined through a meta-analysis of literature data. A numerical tolerance factor comparing the rates of killing in the planktonic and biofilm states is defined to provide a quantitative basis for the analysis. Tolerance factors for biocides and antibiotics range over three orders of magnitude. This variation is not explained by taking into account the molecular weight of the agent, the chemistry of the agent, the substratum material, or the speciation of the microorganisms. Tolerance factors do depend on the areal cell density of the biofilm at the time of treatment and on the age of the biofilm as grown in a particular experimental system. This suggests that there is something that happens during biofilm maturation, either physical or physiological, that is essential for full biofilm tolerance. Experimental measurements of antimicrobial penetration times in biofilms range over orders of magnitude, with slower penetration (>12 min) observed for reactive oxidants and cationic molecules. These agents are retarded through the interaction of reaction, sorption, and diffusion. The specific physiological status of microbial cells in a biofilm contributes to antimicrobial tolerance. A conceptual framework for categorizing physiological cell states is discussed in the context of antimicrobial susceptibility. It is likely that biofilms harbor cells in multiple states simultaneously (e.g., growing, stress-adapted, dormant, inactive) and that this physiological heterogeneity is an important factor in the tolerance of the biofilm state.

Detection and discrimination of biofilm populations using locked nucleic acid/2′-O-methyl-RNA fluorescence in situ hybridization (LNA/2′OMe-FISH)

Multispecies biofilms are the dominant form in nature. The application of fluorescence in situ hybridization (FISH)-based techniques to the discrimination of biofilm populations might contribute to the understanding of microorganism interactions in these structures, and might allow the development of efficient strategies to prevent or minimize biofilm-associated diseases. This work presents the first study that develops, optimizes and validates a multiplex FISH procedure using locked nucleic acid (LNA) and 2′-O-methyl RNA (2′OMe) oligonucleotides probes for the in vitro discrimination within mixed populations. As a case study, Escherichia coli, the major cause of urinary tract infections (UTIs), and three other atypical colonizers of urinary catheters (Delftia tsuruhatensis, Achromobacter xylosoxidans and Burkholderia fungorum) with unproven pathogenic potential, were selected. Specific probes for these species were designed and optimized for specific hybridization in multiplex experiments. Results showed that the LNA/2′OMe-FISH method performed well in multiplex experiments and presented a good correlation with total and cultivability counts, regardless of the cells physiological state. In fact, the method was also able to report variations of viable but non-cultivable populations. Further analysis of mixed biofilm structures by confocal laser scanning microscopy provided a clear discrimination in three dimensions between the location of the different populations.

Responses of the alga Pseudokirchneriella subcapitata to long-term exposure to metal stress

The green alga Pseudokirchneriella subcapitata has been widely used in ecological risk assessment, usually based on the impact of the toxicants in the alga growth. However, the physiological causes that lead algal growth inhibition are not completely understood. This work aimed to evaluate the biochemical and structural modifications in P. subcapitata after exposure, for 72h, to three nominal concentrations of Cd(II), Cr(VI), Cu(II) and Zn(II), corresponding approximately to 72h-EC10 and 72h-EC50 values and a high concentration (above 72h-EC90 values). The incubation of algal cells with the highest concentration of Cd(II), Cr(VI) or Cu(II) resulted in a loss of membrane integrity of ~16, 38 and 55%, respectively. For all metals tested, an inhibition of esterase activity, in a dose-dependent manner, was observed. Reduction of chlorophyll a content, decrease of maximum quantum yield of photosystem II and modification of mitochondrial membrane potential was also verified. In conclusion, the exposure of P. subcapitata to metals resulted in a perturbation of the cell physiological status. Principal component analysis revealed that the impairment of esterase activity combined with the reduction of chlorophyll a content were related with the inhibition of growth caused by a prolonged exposure to the heavy metals.

Tu1973 The Novel Observation of Irreversible Electroporation Phenomenon on Gastrointestinal Cancer Cells in Physiological Conditions, With Sub-Micrometer Resolution by Scanning Ion Conductance Microscopy

G A A b st ra ct s enhanced MEK/ERK activation coincided with those that inhibited mTORC2-mediated Akt phosphorylation on Ser473, suggesting a role of mTORC2. Knockdown of Rictor markedly increased baseline levels of ERK phosphorylation and treatment with NVP-BEZ235 did not produce further enhancement of ERK activation. These results imply that Rictor or mTORC2 exerts feedback inhibition of the MEK/ERK pathway in pancreatic cancer cells. Conclusion: We propose that dual PI3K/mTOR inhibitors suppress a novel negative feedback loop mediated by mTORC2 thereby leading to enhanced MEK/ERK pathway activity in pancreatic cancer cells.

Aptamer-based polyvalent ligands for regulated cell attachment on the hydrogel surface.

Natural biomolecules are often used to functionalize materials to achieve desired cell-material interactions. However, their applications can be limited owing to denaturation during the material functionalization process. Therefore, efforts have been made to develop synthetic ligands with polyvalence as alternatives to natural affinity biomolecules for the synthesis of functional materials and the control of cell-material interactions. This work was aimed at investigating the capability of a hydrogel functionalized with a novel polyvalent aptamer in inducing cell attachment in dynamic flow and releasing the attached cells in physiological conditions through a hybridization reaction. The results show that the polyvalent aptamer could induce cell attachment on the hydrogel in dynamic flow. Moreover, cell attachment on the hydrogel surface was significantly influenced by the value of shear stress. The cell density on the hydrogel was increased from 40 cells/mm(2) to nearly 700 cells/mm(2) when the shear stress was decreased from 0.05 to 0.005 Pa. After the attachment onto the hydrogel surface, approximately 95% of the cells could be triggered to detach within 20 min by using an oligonucleotide complementary sequence that displaced polyvalent aptamer strands from the hydrogel surface. While it was found that the cell activity was reduced, the live/dead staining results show that ≥98% of the detached cells were viable. Therefore, this work has suggested that the polyvalent aptamer is a promising synthetic ligand for the functionalization of materials for regulated cell attachment.