Conferences related to Cell Signaling

Back to Top

2021 IEEE Photovoltaic Specialists Conference (PVSC)

Photovoltaic materials, devices, systems and related science and technology


2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 IEEE International Symposium on Circuits and Systems (ISCAS)

The International Symposium on Circuits and Systems (ISCAS) is the flagship conference of the IEEE Circuits and Systems (CAS) Society and the world’s premier networking and exchange forum for researchers in the highly active fields of theory, design and implementation of circuits and systems. ISCAS2020 focuses on the deployment of CASS knowledge towards Society Grand Challenges and highlights the strong foundation in methodology and the integration of multidisciplinary approaches which are the distinctive features of CAS contributions. The worldwide CAS community is exploiting such CASS knowledge to change the way in which devices and circuits are understood, optimized, and leveraged in a variety of systems and applications.


2020 22nd European Conference on Power Electronics and Applications (EPE'20 ECCE Europe)

Energy conversion and conditioning technologies, power electronics, adjustable speed drives and their applications, power electronics for smarter grid, energy efficiency,technologies for sustainable energy systems, converters and power supplies


2020 IEEE Power & Energy Society General Meeting (PESGM)

The Annual IEEE PES General Meeting will bring together over 2900 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutorials and more



Periodicals related to Cell Signaling

Back to Top

Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


Circuits and Systems II: Express Briefs, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)



Most published Xplore authors for Cell Signaling

Back to Top

Xplore Articles related to Cell Signaling

Back to Top

Distributed Coordination of Co-Channel Femtocells via Inter-Cell Signaling With Arbitrary Delay

IEEE Journal on Selected Areas in Communications, 2015

To achieve high spatial reuse of spectrum resources with limited inter- layer/cell interference, co-channel femtocells must be coordinated with the underlying macro- and other femto-cells in using radio resources. While inter- cell signaling can coordinate femtocells by providing the status information of neighbor cells explicitly, signaling delay-which may result from a limited signaling rate to reduce the resulting overhead, network ...


Motif modeling for cell signaling networks

2016 8th Cairo International Biomedical Engineering Conference (CIBEC), 2016

Network motifs are recurring regulation patterns that appear in different biological networks such as cell signaling, gene regulatory, and metabolic networks. In this paper, we introduce a modeling scheme for cell signaling network motifs including gene expression, receptor activation, and translocation of cellular molecules. We incorporated these motifs into the executable model of T cell receptor (TCR) signaling pathway. The ...


A microfluidic-based platform for in vitro studies of cell signaling in blood vessels

2013 Transducers & Eurosensors XXVII: The 17th International Conference on Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS & EUROSENSORS XXVII), 2013

A microfluidic-based platform is developed for in vitro investigation of signaling within the blood-stream leading to preferential homing of specific cells such as white blood cells (WBCs) selectively to injured host organs. A microchannel has been coated with a monolayer of endothelial cells to mimic the microenvironment in blood vessels, while stable chemokine gradients have been generated locally at selected ...


Cell signaling - is it new?

IEEE Engineering in Medicine and Biology Magazine, 2003

In these days of tissue engineering the term "cell signaling" is encountered frequently, and it refers to an effect that one type of cell produces on an adjacent or distant but different cell types. In most cases the effect is mediated by a chemical messenger. The discovery of chemical messengers originated with Bayliss and Starling (1902) who were interested in ...


Capillary-based separation microtechnologies for pattern profiling of phosphoproteins involved in T cell signaling

2nd Annual International IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology. Proceedings (Cat. No.02EX578), 2002

Current methods of determining pathogen exposure are bound by the proliferation of the pathogens within the bloodstream, by antibody production, or by the appearance of symptoms as the disease progresses. It is therefore advantageous in treatment, or containment, to have a technique that can detect exposure at an earlier stage. Because protein phosphorylation is an integral part of cell signaling, ...



Educational Resources on Cell Signaling

Back to Top

IEEE-USA E-Books

  • Distributed Coordination of Co-Channel Femtocells via Inter-Cell Signaling With Arbitrary Delay

    To achieve high spatial reuse of spectrum resources with limited inter- layer/cell interference, co-channel femtocells must be coordinated with the underlying macro- and other femto-cells in using radio resources. While inter- cell signaling can coordinate femtocells by providing the status information of neighbor cells explicitly, signaling delay-which may result from a limited signaling rate to reduce the resulting overhead, network latency, etc.-and its impact on the behavior of distributed coordination has not been explored before. In this paper, we propose a new architecture for the distributed coordination of co-channel femtocells based on asynchronous inter-cell signaling, called asynchronous coordination of co-channel femtocells (ACoF). ACoF improves solutions iteratively; femtocells update radio resource usage based on the received information, which usually gets outdated due to delayed signaling and asynchronous update behavior. ACoF allows each femtocell to adjust its signaling rate depending on its local conditions for fine-grained cost minimization, but at the expense of higher degree of inconsistency of femtocells' knowledge. Despite such asynchrony and inconsistency, the solution yielded by ACoF is guaranteed to converge to a global optimum under a certain condition of configuration parameters, which we prove theoretically. We design the optimization method of per-cell signaling rate for both wired and over- the-air signaling. Finally, we present a joint muting and transmit power adjustment scheme designed for ACoF and evaluate its convergence behavior and performance gain.

  • Motif modeling for cell signaling networks

    Network motifs are recurring regulation patterns that appear in different biological networks such as cell signaling, gene regulatory, and metabolic networks. In this paper, we introduce a modeling scheme for cell signaling network motifs including gene expression, receptor activation, and translocation of cellular molecules. We incorporated these motifs into the executable model of T cell receptor (TCR) signaling pathway. The differentiation outcome of naïve T cells into regulatory and helper cells changes after adding network motifs into the executable model. Our simulation approach utilizes a randomized update scheme of a discrete logical model. The results show that the delays resulting from these motifs can change the effect of feedback and feed-forward loops on the amplitude and time of elements' transient behavior, as well as elements' steady-states. Overall, the proposed in silico modeling technique allows for more accurate recapitulation of observed in vitro experimental results.

  • A microfluidic-based platform for in vitro studies of cell signaling in blood vessels

    A microfluidic-based platform is developed for in vitro investigation of signaling within the blood-stream leading to preferential homing of specific cells such as white blood cells (WBCs) selectively to injured host organs. A microchannel has been coated with a monolayer of endothelial cells to mimic the microenvironment in blood vessels, while stable chemokine gradients have been generated locally at selected locations along the microchannel sidewalls. We demonstrate that both the chemokine gradients and the endothelial cells are simultaneously maintained during steady flow of cells as in the blood stream.

  • Cell signaling - is it new?

    In these days of tissue engineering the term "cell signaling" is encountered frequently, and it refers to an effect that one type of cell produces on an adjacent or distant but different cell types. In most cases the effect is mediated by a chemical messenger. The discovery of chemical messengers originated with Bayliss and Starling (1902) who were interested in digestion in the gastrointestinal tract, and with Loewi (1923) whose interest focused on the heart. These classical experiments are described here. The two investigations clearly demonstrated the ingenuity of the investigators to design simple but elegant experiments that demonstrated cell signaling and gave rise to the whole field of endocrinology, which deals with hormones, the definition of which is a discrete chemical substance secreted into the body fluids by an endocrine gland, which has a specific effect on the activities of other organs.

  • Capillary-based separation microtechnologies for pattern profiling of phosphoproteins involved in T cell signaling

    Current methods of determining pathogen exposure are bound by the proliferation of the pathogens within the bloodstream, by antibody production, or by the appearance of symptoms as the disease progresses. It is therefore advantageous in treatment, or containment, to have a technique that can detect exposure at an earlier stage. Because protein phosphorylation is an integral part of cell signaling, and one of the earliest indicators of immune system activation, phosphoproteins are an attractive target. We have used sensitive micro-analytical separation techniques, such as capillary gel electrophoresis (CGE) coupled to laser induced fluorescence detection, to probe differences in phosphoprotein populations extracted from immune cells. Using both general and specific modes of activation, we have consistently been able to differentiate between profiles or 'fingerprints' from resting and activated T cells. Further experiments are underway to determine the robustness of the method. Development of this application may lead to a tool for rapid determination of immune system activation, which can be beneficial to the medical and biological research communities.

  • Egr-1 expression induced by ZnO nanoparticles in human keratinocytes

    Zinc oxide (ZnO) nanoparticles (NPs) are widely used in cosmetics and sunscreen. In spite of the broad application of ZnO NPs on human skin, there are limited literatures on the potential toxicities of ZnO NPs at the cellular and molecular levels. The aim of this study was to investigate the signaling pathways of ZnO NPs-induced early growth response-1 (Egr-1) expression and the role of Egr-1 in ZnO NPs-induced cytokine expression. ZnO NPs increased the Egr-1 expression, promoter activity and its nuclear translocation in HaCaT cells. ZnO NPs activated extracellular signal-regulated kinase (ERK) of mitogen-activated protein kinase (MAPK) pathways. Up-regulation of Egr-1 expression by ZnO NPs stimulation was found to be inhibited by an ERK inhibitor, but by neither c-Jun-N-terminal kinase (JNK) nor p38 inhibitor. Our results showed that ZnO NPs induces Egr-1 expression via MAPK pathway in human keratinocytes and cytokine expression by Egr-1. These pathways may contribute to NPs-induced cutaneous toxicity.

  • A Comprehensive Statistical Model for Cell Signaling

    Protein signaling networks play a central role in transcriptional regulation and the etiology of many diseases. Statistical methods, particularly Bayesian networks, have been widely used to model cell signaling, mostly for model organisms and with focus on uncovering connectivity rather than inferring aberrations. Extensions to mammalian systems have not yielded compelling results, due likely to greatly increased complexity and limited proteomic measurements in vivo. In this study, we propose a comprehensive statistical model that is anchored to a predefined core topology, has a limited complexity due to parameter sharing and uses micorarray data of mRNA transcripts as the only observable components of signaling. Specifically, we account for cell heterogeneity and a multilevel process, representing signaling as a Bayesian network at the cell level, modeling measurements as ensemble averages at the tissue level, and incorporating patient-to-patient differences at the population level. Motivated by the goal of identifying individual protein abnormalities as potential therapeutical targets, we applied our method to the RAS-RAF network using a breast cancer study with 118 patients. We demonstrated rigorous statistical inference, established reproducibility through simulations and the ability to recover receptor status from available microarray data.

  • Systematically manipulating T-cell signaling dynamics via multiple model informed open-loop controller design

    A multiple-model approach to open-loop control of T-cell signaling pathways is presented. Mathematical models of the T-cell signaling pathway are used to inform the controller design. The proposed framework employs a model predictive control strategy to reduce the computational complexity of the open loop control problem. Predictions from each model are weighted using adaptive Akaike weights that are iteratively computed for each controller update step based upon the most relevant training data subsets. This process accounts for the fact that models differ in their ability to accurately reflect the system dynamics under different experimental conditions. The algorithm is evaluated in silico and simulations demonstrate how the model weighting strategy more effectively manages the inaccuracies of any single model. Furthermore, the multiple-model control strategy is evaluated in vitro to direct T-cell signaling. The controller-derived input sequence successfully drives the relative concentration of phosphorylated Erk along the desired trajectory when implemented in the laboratory.

  • Development of a particle simulator on cancer cell signaling network with PC cluster system

    In various cancer cells, over-expression or mutation of epidermal growth factor (EGF) receptors is experimentally observed, and induces abnormal activation of intracellular signaling proteins, followed by continuous cell proliferation via dysfunctional gene regulatory networks. Since the activation process of EGF receptors on cell membrane is complicated and not fully understood, it is still a challenging work to develop the mathematical model from the viewpoint of cancer therapy such as drug discovery. In this paper, we develop a particle simulator on EGF-induced activation of EGF receptors on cell membrane. The engine of our simulator is based on the Hybrid Null-event Monte Carlo algorithm. The advantage is that our simulator is capable of evaluating ”lateral signaling” of EGF receptors, and directly comparing to the corresponding experimental data that shows a distribution of activated EGF receptors.

  • A Micro-sequenced CMOS Model for Cell Signaling Pathway using G-Protein and Phosphorylation Cascade

    Communication between cells in multi-cellular organisms such as animals, humans and plants is essential for co-ordinating the organismic activities of fertilization, growth, survival and reproduction. This bio-chemical communication between trillions of cells in organisms can be more complex than the Internet. This paper develops a CMOS circuit model of signal reception and signal transduction within a cell in response to extra-cellular molecular signals. A micro-sequenced model has been developed where the signal transduction steps are clocked by circadian time intervals. The model converts the chemical signaling pathway into a CMOS multi-step logical transformation cascade transducing a received signal molecule into an activated cellular protein response. This modeling technique leads to understanding cellular malfunctions (diseases) in the form of logical (electrical) faults in a circuit.



Standards related to Cell Signaling

Back to Top

IEEE Standard for Broadband over Power Line Networks: Medium Access Control and Physical Layer Specifications

The project defines a standard for high-speed (>100 Mbps at the physical layer) communication devices via electric power lines, so-called broadband over power line (BPL) devices. This standard uses transmission frequencies below 100 MHz. It is usable by all classes of BPL devices, including BPL devices used for the first-mile/last-mile connection (<1500 m to the premise) to broadband services as ...