High Power Magnetic Field Energy Harvesting through Amplified Magneto‐Mechanical Vibration

Internet of Things (IoT) is driving the development of new generation of sensors, communication components, and power sources. Ideally, IoT sensors and communication components are expected to be powered by sustainable energy source freely available in the environment. Here, a breakthrough in this direction is provided by demonstrating high output power energy harvesting from very low amplitude stray magnetic fields, which exist everywhere, through magnetoelectric (ME) coupled magneto‐mechano‐electric (MME) energy conversion. ME coupled MME harvester comprised of multiple layers of amorphous magnetostrictive material, piezoelectric macrofiber composite, and magnetic tip mass, interacts with an external magnetic field to generate electrical energy. Comprehensive experimental investigation and a theoretical model reveal that both the magnetic torque generated through magnetic loading and amplification of magneto‐mechanical vibration by ME coupling contributes toward the generation of high electrical power from the stray magnetic field around power cables of common home appliances. The generated electrical power from the harvester is sufficient for operating microsensors (gyro, temperature, and humidity sensing) and wireless data transmission systems. These results will facilitate the deployment of IoT devices in emerging intelligent infrastructures.     

An Immunocompetent Mouse Model of Zika Virus Infection

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pH modulates the TGF‐β ligands binding to the receptors: a computational analysis

In spite of showing high sequence similarity and forming structurally similar ternary complex in vitro, the in vivo role of TGF‐β1 and TGF‐β3 ligands suggests against their functional redundancy and necessitates the importance for the study of the specificity of these ligands. A comparative computational analysis of binary and ternary complexes of these two ligands shows that anchor residues of ligand and receptor at TGF‐β:TβR2 interface are similar in both complexes. However, the potential anchor residues of TGF‐β at TGF‐β:TβR1 interface are different, Tyr50 and Lys51 in TGF‐β3 complex and Lys60 and Tyr6 in TGF‐β1 complex. Pro55 and Asp57 of TβRI may act as anchor residues in complexes of both ligands along with Ile54 for TGF‐β3 complex and Val61 for TGF‐β1 complex. Arg58 of TβR1 acts as a potential hot residue for TGF‐β3 ternary complex but not for TGF‐β1 ternary complex formation whereas Pro55 and Phe60 may act as hot residues for both complexes. The Delphi analysis of the pH dependence of the binding energy indicates that pH has a remarkable effect on the binding energy of TβR2 to the open form of TGF‐β3. Lowering of pH from 7 to 4 favors binding of the open form of TGF‐β3 to TβR2. Now, apart from the residues at pH 7, residues Arg25, Lys31 and Arg94 of TGF‐β3 and Asp118 and Glu119 of TβR2 also contribute significantly to the binding energy. Contrary to the binding energy of TβR2 to TGF‐β3/TGF‐β1, TβR1 shows appreciable pH dependence for its binding in ternary complex of TGF‐β3/TGF‐β1. In TGF‐β3 ternary complex, the TβR1 electrostatic interaction energy disfavors complex formation at pH 7 while it is favored at pH 4. Copyright © 2014 John Wiley & Sons, Ltd.     

Quantitative biology: where modern biology meets physical sciences

Quantitative methods and approaches have been playing an increasingly important role in cell biology in recent years. They involve making accurate measurements to test a predefined hypothesis in order to compare experimental data with predictions generated by theoretical models, an approach that has benefited physicists for decades. Building quantitative models in experimental biology not only has led to discoveries of counterintuitive phenomena but has also opened up novel research directions. To make the biological sciences more quantitative, we believe a two-pronged approach needs to be taken. First, graduate training needs to be revamped to ensure biology students are adequately trained in physical and mathematical sciences and vice versa. Second, students of both the biological and the physical sciences need to be provided adequate opportunities for hands-on engagement with the methods and approaches necessary to be able to work at the intersection of the biological and physical sciences. We present the annual Physiology Course organized at the Marine Biological Laboratory (Woods Hole, MA) as a case study for a hands-on training program that gives young scientists the opportunity not only to acquire the tools of quantitative biology but also to develop the necessary thought processes that will enable them to bridge the gap between these disciplines.What does a mathematician looking at bacterial division under a microscope have in common with a biologist programming a stochastic simulation of microtubule growth? For one, both can be found at the Physiology Course at the Marine Biological Laboratory (MBL) in Woods Hole, MA, which brings together graduate students and young postdocs who have a passion for quantitative biology. Students enter the course with a wide array of scientific backgrounds, including chemistry, molecular biology, mathematics, and theoretical physics. Although at first hesitant to step outside their comfort zones, students leave the course confident and courageous in their abilities to work across traditional academic boundaries. Having experienced this transformation ourselves as participants in the 2014 Physiology Course, we wanted to share some of our insights and how they have influenced our perspectives on the present challenges and exciting future of quantitative cell biology.“When you cannot express [what you are speaking about] in numbers, your knowledge is of a meager and unsatisfactory kind; it may be the beginning of knowledge, but you have scarcely, in your thoughts, advanced to the stage of science.” The need for quantification in the life sciences could not have been better worded than it is in this quote from Lord Kelvin. One of the key take-home messages from the course has been the crucial need for advancement of quantitative cell biology, which uses accurate measurements to refine a hypothesis, with the aim of comparing experimental data with predictions generated by theoretical models. We strongly believe that quantitative approaches not only aid in better addressing existing biological questions but also enable the formulation of new ones.The present time is particularly ripe for implementing quantitative approaches in cell biology, due to the wealth of data available and the depth of control we now have over many experimental systems. In the past 20 years, we have sequenced the human genome, broken the diffraction limit in microscopy, and begun to explore the possibilities of the micron-scaled experiments with microfluidics. With these tools in hand, the means to obtain quantitative data are not limited to a select few model systems; this level of experimental detail allows us to craft theoretical models that not only fit the data but have real predictive power. We can then return to our respective experimental systems with new hypotheses and interrogate them anew, reaping the benefits of an approach that has benefited physicists for decades.Building quantitative models in biology has been a powerful approach that has often revealed counterintuitive phenomena and insights while at the same time leading to novel research directions. This is of particular importance today, as experiments are becoming increasingly expensive and are rapidly accumulating vast amounts of data. It is now possible to perform “virtual” preliminary experiments in silico using quantitative models and pre-existing data and only then move to “real” laboratory experiments to test the developed hypotheses. Researchers trained this way can perform more focused experiments instead of adopting the traditional exploratory mode in the lab, saving both time and resources. However, we recognize that a majority of biology graduates have not been rigorously trained in the mathematical and physical sciences. Similarly, many physics graduates often remember their introductory biology classes simply for the rote memorization of protein names and signaling pathways, leading to the wrong assumption that biology is all about remembering three-letter abbreviations such as WNT, MYC, and so on. This can often create a misleading picture of biology.These challenges could be overcome by finding a common language between biologists, physicists, and mathematicians. A simple example of this is the word “model.” The same word can mean very different things to scientists depending upon their training: to a physicist it refers to quantitative visualization of a process via certain well-defined mathematical parameters; a biologist, on the other hand, might use the word to refer to a schematic depiction (also called a cartoon) of a biochemical reaction. We aim to reduce this gap between biological and physical sciences and bring these two communities together.One way to train young scientists in such an approach is to provide opportunities for hands-on engagement with the methods and thought processes necessary to partake in both fields. The MBL Physiology Course is an excellent case study for a training program that gives young scientists the building blocks and community necessary for success in bridging quantitative/physical sciences and biology. The course starts with a weeklong boot camp designed to bring students of different backgrounds up to speed on basic tools in quantitative biology. Students purify proteins, program in MATLAB, and build microscopes. The most important skill that biologists acquire is not simply learning how to write lines of MATLAB code, but rather phrasing biological phenomena in mathematical terms through equations and simulations. Building confocal microscopes and optical tweezers on a bare optical table creates trust in the tools we depend on to acquire quantitative data. Physicists, on the other hand, learn to purify motor proteins like kinesins and dyneins from native sources (squid), in the process coming face-to-face with the natural context of the biological questions that they are addressing.This interdisciplinary approach helps students from diverse backgrounds develop a common language. After the boot camp, students work together on three 2-week-long research projects under the guidance of leading scientists. Projects range from studying the spatial organization of the human oral microbiome and observing the development of the Caenorhabditis elegans embryo all the way to performing computational simulations of cytoskeletal polymers. By working together in a highly informal and stimulating environment, physicists learn to appreciate biological problems and biologists begin to see biological phenomena in a new light as a result of the novel physical tools and methodologies they learn from their peers. As an example, course participants Rikki Garner and Daniel Feliciano successfully collaborated to study how competition between two highly processive microtubule motors that work in opposition controls microtubule length. While Rikki (mentored by Jané Kondev) tackled the question theoretically using a random walk model, Daniel, under the mentorship of Joe Howard, carried out the experimental measurements via an in vitro assay to test Rikki''s predictions. Other examples of quantitative and biological expertise coming together to address biological questions include studying the displacement and transport of proteins at the interface between cells and synthetic supported lipid bilayers (Figure 1), observing and quantifying the cytoplasmic streaming as well as the filter-feeding flow vortices in the giant single-celled organism Stentor coeruleus (Figure 2), and imaging the spatial organization of complex oral microbial communities (Figure 3).Open in a separate windowFIGURE 1:Proteins are organized based on size at the membrane interface. The membrane interface between a cell and a supported lipid bilayer (SLB) was formed by the interaction of synthetic adhesion molecules, one protein (bound to the membrane via a His-tag) and another protein that interacts and binds with the membrane-bound protein (expressed in the S2 cells). Note that the long noninteracting protein (21 nm, magenta colored) but not the shorter noninteracting protein (8 nm, magenta colored), which is bigger than the synthetic interacting dimer (16 nm, red–green colored) is excluded from the cell–SLB interface. Both of these noninteracting proteins are bound to the SLB and do not interact with the cell. Scale bar: 10 μm. (Prepared by L.Z. and Nan Hyung Hong under the guidance of Matt Bakalar, Eva Schmid, and Dan Fletcher.)Open in a separate windowFIGURE 2:Stentor coeruleus is a giant single-celled organism that feeds by creating flow vortices in water and directing prey into its oral opening using this flow. (A) Maximum intensity projection of time-lapse images showing flow fields in the feeding flow generated by S. coeruleus. The flow is generated by the coordinated ciliary beating of the mouth cilia. (B) Flow velocity and flow directions were quantified by the particle image velocimetry method. The circularity of flow has also been indicated—the blue cloud around the oral cilia indicates clockwise flow, and red indicates anticlockwise flow. Scale bar: 100 μm. (Prepared by S.S. under the guidance of Mark Slabodnick, Tatyana Makushok, and Wallace Marshall in collaboration with Jack Costello, Providence College.)Open in a separate windowFIGURE 3:Spatial organization of complex microbial communities in an oral plaque sample taken from a volunteer as seen by combinatorial labeling and spectral imaging–fluorescent in situ hybridization (CLASI-FISH). Microbes seen here are Corynebacterium (pink), Neisseriaceae (blue), Fusobacterium (green), Pasteurellaceae (yellow), Streptococcus (cyan), and Actinomyces (red). (Prepared by Bryan Weinstein, Lishibanya Mohapatra, and Matti Gralka under the guidance of Blair Rossetti, Jessica Mark Welch, and Gary Borisy.)An invaluable aspect of the course is the informal nature of the interaction. There are a wide variety of morning seminar speakers, and in the question-and-answer sessions following the talks, the speakers discuss not only science but also the successes and failures they experienced while moving across the boundaries of biological and physical sciences. The interactive and collaborative nature of the course encourages students to not just learn from one another but to actually teach one another. “Chalk talks” and interactions happen spontaneously and are the strongest indication of the richness of the intellectual exchange among members of the community. Prime examples in the 2014 course are the chalk talks on Python (Bryan Weinstein), Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) cloning (Dan Dickinson), and the basics of microfluidics (Sindy Tang).Although we have benefited immensely from this interdisciplinary course, we understand that it might not be feasible for all graduate students to participate in such courses. Nevertheless, we believe that the scientific community should work together to replicate elsewhere, at least partially, the strengths of this course to allow students to benefit from this approach. Students should be encouraged to host and attend seminars from speakers with diverse backgrounds, which will expose them to research areas different from their own. Biology students should also be exposed to mathematical and statistical instruction early in their research careers, preferably at the undergraduate level, to enable them to build strong foundations. Students should also be encouraged to participate in short-term, low-pressure interdisciplinary collaborations to broaden their understanding and initiate interactions with other fields. Short summer/winter schools—for example, the physical biology of the cell courses at Cold Spring Harbor and the International Centre for Theoretical Physics (Italy)–International Centre for Theoretical Sciences (India) Winter School on Quantitative Systems Biology, 2013, in Bangalore, India—can serve as the perfect stage for this.In conclusion, we expect that quantitative approaches will be indispensable for better addressing biological questions in the future. Our experience is that combining traditional experimental cell biology with quantitative thinking leads to hitherto unknown scientifically rich domains, and we ourselves have found this exploratory journey to be both achievable and rewarding. Although bridging the gap may appear to be difficult at times, it is extremely satisfying when accomplished, and doing it within a highly motivated and supportive community is what makes the connection possible and extremely useful.     

Proteome Analysis of Plasmodium falciparum Extracellular Secretory Antigens at Asexual Blood Stages Reveals a Cohort of Proteins with Possible Roles in Immune Modulation and Signaling

The highly co-evolved relationship of parasites and their hosts appears to include modulation of host immune signals, although the molecular mechanisms involved in the host-parasite interplay remain poorly understood. Characterization of these key genes and their cognate proteins related to the host-parasite interplay should lead to a better understanding of this intriguing biological phenomenon. The malaria agent Plasmodium falciparum is predicted to export a cohort of several hundred proteins to remodel the host erythrocyte. However, proteins actively exported by the asexual intracellular parasite beyond the host red blood cell membrane (before merozoite egress) have been poorly investigated so far. Here we used two complementary methodologies, two-dimensional gel electrophoresis/MS and LC-MS/MS, to examine the extracellular secreted antigens at asexual blood stages of P. falciparum. We identified 27 novel antigens exported by P. falciparum in the culture medium of which some showed clustering with highly polymorphic genes on chromosomes, suggesting that they may encode putative antigenic determinants of the parasite. Immunolocalization of four novel secreted proteins confirmed their export beyond the infected red blood cell membrane. Of these, preliminary functional characterization of two novel (Sel1 repeat-containing) parasite proteins, PfSEL1 and PfSEL2 revealed that they down-regulate expression of cell surface Notch signaling molecules in host cells. Also a novel protein kinase (PfEK) and a novel protein phosphatase (PfEP) were found to, respectively, phosphorylate/dephosphorylate parasite-specific proteins in the extracellular culture supernatant. Our study thus sheds new light on malaria parasite extracellular secreted antigens of which some may be essential for parasite development and could constitute promising new drug targets.Plasmodium falciparum is a wide spread protozoan parasite responsible for over a million deaths annually mainly among children in sub-Saharan Africa (1). Like other apicomplexan parasites such as Leishmania, Trypanosoma, and Toxoplasma, Plasmodia depend on a series of intricate and highly evolved adaptations that enable them to evade destruction by the host immune responses. These protozoan parasites have provided some of the best leads in elucidating the mechanisms to circumvent innate immunity and adaptive humoral and cellular immunity (2). Ingenious strategies to escape innate defenses include subversion of attack by humoral effector mechanisms such as complement lysis and lysis by other serum components (3), remodeling of phagosomal compartments in which they reside (4), modulation of host cell signaling pathways (5), and modification of the antigen-presenting and immunoregulatory functions of dendritic cells, which provide a crucial link with the adaptive immune response (6). Malaria parasites also predominantly use antigenic diversity and clonal antigenic variation to evade adaptive immunity of the host (7). Surface-associated and secreted parasite proteins are major players in host-parasite cross-talk and are advantageously used by the parasite to counter the host immune system. Proteins secreted by a wide range of parasitic pathogens into the host microenvironment result in symptomatic infections. For example, the excretory-secretory (ES)¹ products of the parasitic fluke Fasciola hepatica are key players in host-parasite interactions (8). Among the apicomplexans, proteomics analyses of rhoptry organelles of Toxoplasma gondii have revealed many novel constituents of host-parasite interactions (9).The identification and trafficking of Plasmodium proteins exported into the host erythrocyte have been subjects of recent detailed investigations. A number of studies have identified Plasmodium proteins that contain signature sequence motifs, the host cell targeting signal or the Plasmodium export element (PEXEL), that target these proteins into the infected erythrocytes (10, 11). Recent proteomics analyses have identified novel proteins in the raftlike membranes of the parasite and on the surface of infected erythrocytes (12, 13). P. falciparum translationally controlled tumor protein (PfTCTP), a homolog of the mammalian histamine-releasing factor, has been shown to be released into the culture supernatant from intact as well as ruptured infected RBCs and causes histamine release from human basophils and IL-8 secretion from eosinophils (14). However, the total spectrum of proteins actively exported by the asexual intracellular parasite beyond the host RBC membrane (before merozoite egress) has been poorly investigated so far.In the present study, we used two complementary methodologies, two-dimensional gel electrophoresis (2DE)/MS and LC-MS/MS to examine the cohort of extracellular secreted antigens (ESAs) at asexual blood stages of P. falciparum. Our findings reveal that malaria parasites secrete a number of effector molecules such as immunomodulators and signaling proteins that are potentially involved in host-parasite interactions. Prominent among these are proteins with Sel1 domain, a protein of the LCCL family, a novel protein kinase, and a novel protein phosphatase. Secreted-extracellular/iRBC surface localization of some of these proteins was validated by immunolocalization studies. We also characterized the functions of some of these proteins in the culture supernatant, thus providing an insight into the nature of some of the malaria parasite extracellular antigens.     

Changes in cytosolic Ca2+ levels correspond to fluctuations of lactate levels in crosstalk of astrocyte-neuron cell lines

Neurons and astrocytes differentially express isoenzymes of lactate dehydrogenase (LDH). The metabolic consequences for the variations in mRNA expression of LDH isoenzyme subtypes in neurons and astrocytes control cerebral vasoregulation. Moreover, cellular signalling consequences for functional neurovascular control may also be dependent on LDH isoenzyme subtype profiles. Initial computer simulations revealed glutamate-induced calcium waves in connected astrocytes, and showed concomitant changes in the expression of nitric oxide synthase (NOS) and lactic acid metabolism. To validate these findings, the nature and extent of glutamate-dependent signalling crosstalk in murine cell lines were investigated through correlated lactate levels and calcium upregulation. Neuro2A and C8D1A cells were separately treated with timed supernatant extracts from each other and their LDH1 and LDH5 isoenzyme responses were recorded. Western blot analysis showed LDH1/LDH5 isoenzyme ratio in the astrocytes to be positively correlated with Neuro2A-derived lactate levels estimated by the amplitude of 1.33-ppm spectral peak in 1H-NMR, and LDH1/LDH5 isoenzyme ratio in neurons is negatively correlated with CSD1A-derived lactate levels. Significant modulations of the calcium-responsive protein pCamKII levels were also observed in both cell lines, particularly correlations between pCamKII and lactate in C8D1A cells, thus explaining the calcium dependence of the lactate response. Together, these observations indicate that lactate is a key indicator of the metabolic state of these cell types, and may be a determinant of release of vasoregulatory factors.     

Small organic compounds enhance antigen loading of class II major histocompatibility complex proteins by targeting the polymorphic P1 pocket

Major histocompatibility complex (MHC) molecules are a key element of the cellular immune response. Encoded by the MHC they are a family of highly polymorphic peptide receptors presenting peptide antigens for the surveillance by T cells. We have shown that certain organic compounds can amplify immune responses by catalyzing the peptide loading of human class II MHC molecules HLA-DR. Here we show now that they achieve this by interacting with a defined binding site of the HLA-DR peptide receptor. Screening of a compound library revealed a set of adamantane derivatives that strongly accelerated the peptide loading rate. The effect was evident only for an allelic subset and strictly correlated with the presence of glycine at the dimorphic position beta86 of the HLA-DR molecule. The residue forms the floor of the conserved pocket P1, located in the peptide binding site of MHC molecule. Apparently, transient occupation of this pocket by the organic compound stabilizes the peptide-receptive conformation permitting rapid antigen loading. This interaction appeared restricted to the larger Gly(beta86) pocket and allowed striking enhancements of T cell responses for antigens presented by these "adamantyl-susceptible" MHC molecules. As catalysts of antigen loading, compounds targeting P1 may be useful molecular tools to amplify the immune response. The observation, however, that the ligand repertoire can be affected through polymorphic sites form the outside may also imply that environmental factors could induce allergic or autoimmune reactions in an allele-selective manner.