Complex sexual signals for the male gametophyte.

The pollen grain and the pollen tube that grows from it are complex entities which must respond to a diverse array of signals to carry out their roles in sexual reproduction. Research is beginning to reveal the nature both of the signals and of the signal transduction machinery that converts these signals into directional, polarized growth.     

Apical and basolateral coated pits of MDCK cells differ in their rates of maturation into coated vesicles, but not in the ability to distinguish between mutant hemagglutinin proteins with different internalization signals

In polarized epithelial MDCK cells, all known endogenous endocytic receptors are found on the basolateral domain. The influenza virus hemagglutinin (HA) which is normally sorted to the apical plasma membrane, can be converted to a basolateral protein by specific mutations in its short cytoplasmic domain that also create internalization signals. For some of these mutations, sorting to the basolateral surface is incomplete, allowing internalization of two proteins that differ by a single amino acid of the internalization signal to be compared at both the apical and basolateral surfaces of MDCK cells. The rates of internalization of HA-Y543 and HA-Y543,R546 from the basolateral surface of polarized MDCK cells resembled those in nonpolarized cells, whereas their rates of internalization from the apical cell surface were fivefold slower. However, HA-Y543,R546 was internalized approximately threefold faster than HA-Y543 at both membrane domains, indicating that apical endocytic pits in polarized MDCK cells retained the ability to discriminate between different internalization signals. Slower internalization from the apical surface could not be explained by a limiting number of coated pits: apical membrane contained 0.7 as many coated pits per cell cross-section as did basolateral membranes. 10-14% of HA-Y543 at the apical surface of polarized MDCK cells was found in coated pits, a percentage not significantly different from that observed in apical coated pits of nonpolarized MDCK cells, where internalization was fivefold faster. Thus, there was no lack of binding sites for HA-Y543 in apical coated pits of polarized cells. However, at the apical surface many more shallow pits, and fewer deep, mature pits, were observed than were seen at the basolateral. These results suggest that the slower internalization at the apical surface is due to slower maturation of coated pits, and not to a difference in recognition of internalization signals.     

N-聚糖和O-聚糖在极性化细胞蛋白质分拣中的作用

极性化上皮细胞的质膜因其所含蛋白质、脂质等组分不同,可以分为细胞膜顶端和细胞膜基底侧端两个区域,而新合成的蛋白质向这两个区域的有效分拣是上皮细胞维持其自身极性及正常功能所必需的。细胞膜基底侧端蛋白质的分拣主要由位于该蛋白质胞质区的信号肽所介导,关于这方面的研究是比较深入的;而细胞膜顶端蛋白质的分拣机制目前尚未阐明,因而显得比较复杂。近年来,糖类分子作为生物体内细胞识别和调控过程的信息分子日益受到关注,人们通过干扰聚糖合成、基因突变以及构建糖基化缺陷细胞株等实验方法,逐渐地认识到糖类分子在极性化上皮细胞的蛋白质分拣调节中起重要作用。由于糖分子本身结构非常复杂,而且目前缺乏研究糖类分子的有效手段,使得糖生物学的研究远远落后于蛋白质和核酸的研究。从而导致探讨糖类分子在蛋白质分拣过程的具体机制相对来说比较困难。本综述拟简要概括糖类分子中N-聚糖和O-聚糖在极性化上皮细胞的蛋白质分拣过程中的作用,以及两种聚糖在此过程中行使分拣信号功能的可能机制。     

Multi-scale AM–FM analysis for the classification of surface electromyographic signals

In this work, multi-scale amplitude modulation–frequency modulation (AM–FM) features are extracted from surface electromyographic (SEMG) signals and they are used for the classification of neuromuscular disorders. The method is validated on SEMG signals recorded from a total of 40 subjects: 20 normal and 20 abnormal cases (11 myopathy, and 9 neuropathy cases), at 10%, 30%, 50%, 70% and 100% of maximum voluntary contraction (MVC), from the biceps brachii muscle. For the classification, three classifiers are used: (i) the statistical K-nearest neighbor (KNN), (ii) the self-organizing map (SOM) and (iii) the support vector machine (SVM). For all classifiers, the leave-one-out methodology is used to validate the classification of the SEMG signals into normal or abnormal (myopathy or neuropathy). A classification success rate of 78% for the AM–FM features and SVM models was achieved. These results also show that SEMG can be used as a non-invasive alternative to needle EMG for differentiating between normal and abnormal (myopathy, or neuropathy) cases.     

Sleep classification in infants based on artificial neural networks.

The study reports on the possibility of classifying sleep stages in infants using an artificial neural network. The polygraphic data from 4 babies aged 6 weeks, 6 months and 1 year recorded over 8 hours were available for classification. From each baby 22 signals were recorded, digitized and stored on an optical disc. Subsets of these signals and additional calculated parameters were used to obtain data vectors, each of which represents an interval of 30 sec. For classification, two types of neural networks were used, a Multilayer Perceptron and a Learning Vector Quantizer. The teaching input for both networks was provided by a human expert. For the 6 sleep classes in babies aged 6 months, a 65% to 80% rate of correct classification (4 babies) was obtained for the testing data not previously seen.     

Anatomical basis for camouflaged polarized light communication in squid

Camouflage is a means to defeat visual detection by predators, whereas visual communication involves a signal that is conspicuous to a receiver (usually a conspecific). However, most intraspecific visual signals are also conspicuous to predators, so that signalling can lead to the serious consequence of predation. Could an animal achieve visual camouflage and simultaneously send a hidden visual message to a conspecific? Here, we present evidence that the polarized aspect of iridescent colour in squid skin is maintained after it passes through the overlying pigmented chromatophores, which produce the highly evolved--and dynamically changeable--camouflaged patterns in cephalopods. Since cephalopods are polarization sensitive, and can regulate polarization via skin iridescence, it is conceivable that they could send polarized signals to conspecifics while staying camouflaged to fish or mammalian predators, most of which are not polarization sensitive.     

Associative memory in quaternionic Hopfield neural network

Associative memory networks based on quaternionic Hopfield neural network are investigated in this paper. These networks are composed of quaternionic neurons, and input, output, threshold, and connection weights are represented in quaternions, which is a class of hypercomplex number systems. The energy function of the network and the Hebbian rule for embedding patterns are introduced. The stable states and their basins are explored for the networks with three neurons and four neurons. It is clarified that there exist at most 16 stable states, called multiplet components, as the degenerated stored patterns, and each of these states has its basin in the quaternionic networks.     

N-glycans mediate apical recycling of the sialomucin endolyn in polarized MDCK cells

Apical and basolateral proteins are maintained within distinct membrane subdomains in polarized epithelial cells by biosynthetic and postendocytic sorting processes. Sorting of basolateral proteins in these processes has been well studied; however, the sorting signals and mechanisms that direct proteins to the apical surface are less well understood. We previously demonstrated that an N-glycan-dependent sorting signal directs the sialomucin endolyn to the apical surface in polarized Madin-Darby canine kidney cells. Terminal processing of a subset of endolyn's N-glycans is key for polarized biosynthetic delivery to the apical membrane. Endolyn is subsequently internalized, and via a cytoplasmic tyrosine-based sorting motif is targeted to lysosomes from where it constitutively cycles to the cell surface. Here, we examine the polarized sorting of endolyn along the postendocytic pathway in polarized cells. Our results suggest that similar N-glycan sorting determinants are required for apical delivery of endolyn along both the biosynthetic and the postendocytic pathways.     

Molecular mechanisms of membrane polarity in renal epithelial cells

Exciting discoveries in the last decade have cast light onto the fundamental mechanisms that underlie polarized trafficking in epithelial cells. It is now clear that epithelial cell membrane asymmetry is achieved by a combination of intracellular sorting operations, vectorial delivery mechanisms and plasmalemma-specific fusion and retention processes. Several well-defined signals that specify polarized segregation, sorting, or retention processes have, now, been described in a number of proteins. The intracellular machineries that decode and act on these signals are beginning to be described. In addition, the nature of the molecules that associate with intracellular trafficking vesicles to coordinate polarized delivery, tethering, docking, and fusion are also becoming understood. Combined with direct visualization of polarized sorting processes with new technologies in live-cell fluorescent microscopy, new and surprising insights into these once-elusive trafficking processes are emerging. Here we provide a review of these recent advances within an historically relevant context.     

Cell polarity: intrinsic or externally imposed?

A basic question in studies of the genesis of cell polarity is whether the polarity is an intrinsic and permanent property of cells or whether it is externally imposed by signals at the cell periphery. Current models favor the possibility that an external signal selectively imposes a polarized cell morphology. However, recent data from different experimental systems are discussed here that support the idea that an intrinsic polarity in animal cells is maintained through a dynamic process involving specific activities of the cortical microfilament system and the centrosome-microtubule complex. In this view, external signals capable of modulating cell polarity, for example, during chemotaxis or histogenesis, do so by acting on mechanisms that maintain cells permanently polarized. The contribution of the cytoskeleton to the genesis of cell polarity is discussed, with particular reference to experimental evidence for global cytoskeletal dynamics, and it is suggested that critical advances in our understanding of the maintenance of cell polarity will depend on our obtaining further knowledge of the molecular mechanisms controlling interactions between microtubules and microfilaments. Microtubules appear to exert an inhibitory control on the recruitment of cytoplasmic myosin into the cortex, and there are data indicating that the centrosome and centrioles could actively contribute to the establishment of cell polarity.     

EEG Classification of Different Imaginary Movements within the Same Limb

The task of discriminating the motor imagery of different movements within the same limb using electroencephalography (EEG) signals is challenging because these imaginary movements have close spatial representations on the motor cortex area. There is, however, a pressing need to succeed in this task. The reason is that the ability to classify different same-limb imaginary movements could increase the number of control dimensions of a brain-computer interface (BCI). In this paper, we propose a 3-class BCI system that discriminates EEG signals corresponding to rest, imaginary grasp movements, and imaginary elbow movements. Besides, the differences between simple motor imagery and goal-oriented motor imagery in terms of their topographical distributions and classification accuracies are also being investigated. To the best of our knowledge, both problems have not been explored in the literature. Based on the EEG data recorded from 12 able-bodied individuals, we have demonstrated that same-limb motor imagery classification is possible. For the binary classification of imaginary grasp and elbow (goal-oriented) movements, the average accuracy achieved is 66.9%. For the 3-class problem of discriminating rest against imaginary grasp and elbow movements, the average classification accuracy achieved is 60.7%, which is greater than the random classification accuracy of 33.3%. Our results also show that goal-oriented imaginary elbow movements lead to a better classification performance compared to simple imaginary elbow movements. This proposed BCI system could potentially be used in controlling a robotic rehabilitation system, which can assist stroke patients in performing task-specific exercises.     

A single amino acid change in the cytoplasmic domains of measles virus glycoproteins H and F alters targeting, endocytosis, and cell fusion in polarized Madin-Darby canine kidney cells

As we have shown previously, release of measles virus (MV) from polarized epithelial cells is not determined by the viral envelope proteins H and F. Although virus budding is restricted to the apical surfaces, both proteins were abundantly expressed on the basolateral surface of Madin-Darby canine kidney cells. In this report, we provide evidence that the basolateral expression of the viral proteins is of biological importance for the MV infection of polarized epithelial cells. We demonstrate that both MV glycoproteins possess a basolateral targeting signal that is dependent upon the unique tyrosine in the cytoplasmic tails. These tyrosines are shown to be also part of an endocytosis signal. In MV-infected cells, internalization of the glycoproteins was not observed, indicating that recognition of the endocytosis signals is disturbed by viral factors. In contrast, basolateral transport was not substantially hindered, resulting in efficient cell-to-cell fusion of polarized Madin-Darby canine kidney cells. Thus, recognition of the signals for endocytosis and polarized transport is differently regulated in infected cells. Mutation of the basolateral sorting signal in one of the MV glycoproteins prevented fusion of polarized cells. These results suggest that basolateral expression of the MV glycoproteins favors virus spread in epithelia.     

Multiple Wnts redundantly control polarity orientation in Caenorhabditis elegans epithelial stem cells

During development, cell polarization is often coordinated to harmonize tissue patterning and morphogenesis. However, how extrinsic signals synchronize cell polarization is not understood. In Caenorhabditis elegans, most mitotic cells are polarized along the anterior-posterior axis and divide asymmetrically. Although this process is regulated by a Wnt-signaling pathway, Wnts functioning in cell polarity have been demonstrated in only a few cells. We analyzed how Wnts control cell polarity, using compound Wnt mutants, including animals with mutations in all five Wnt genes. We found that somatic gonadal precursor cells (SGPs) are properly polarized and oriented in quintuple Wnt mutants, suggesting Wnts are dispensable for the SGPs' polarity, which instead requires signals from the germ cells. Thus, signals from the germ cells organize the C. elegans somatic gonad. In contrast, in compound but not single Wnt mutants, most of the six seam cells, V1-V6 (which are epithelial stem cells), retain their polarization, but their polar orientation becomes random, indicating that it is redundantly regulated by multiple Wnt genes. In contrast, in animals in which the functions of three Wnt receptors (LIN-17, MOM-5, and CAM-1) are disrupted--the stem cells are not polarized and divide symmetrically--suggesting that the Wnt receptors are essential for generating polarity and that they function even in the absence of Wnts. All the seam cells except V5 were polarized properly by a single Wnt gene expressed at the cell's anterior or posterior. The ectopic expression of posteriorly expressed Wnts in an anterior region and vice versa rescued polarity defects in compound Wnt mutants, raising two possibilities: one, Wnts permissively control the orientation of polarity; or two, Wnt functions are instructive, but which orientation they specify is determined by the cells that express them. Our results provide a paradigm for understanding how cell polarity is coordinated by extrinsic signals.     

Basolateral expression of a chimeric protein in which the transmembrane and cytoplasmic domains of vesicular stomatitis virus G protein have been replaced by those of the influenza virus hemagglutinin

Two integral membrane proteins, influenza virus hemagglutinin (HA) and vesicular stomatitis virus G protein, are transported to and accumulated on the apical and basolateral surfaces, respectively, of the plasma membrane of polarized epithelial cells. We have used chimeric constructions to identify the domains of HA and G proteins which contain the signals for polarized transport. Previously, we have shown that a chimeric protein containing the cleavable leader and the ectodomain of HA fused to the anchoring and cytoplasmic domains of G is transported to the apical surface of polarized MDCK cells (McQueen, N.L., Nayak, D.P., Stephens, E.B., and Compans, R.W. (1986) Proc. Natl. Acad. Sci. U.S.A. 83, 9318-9322). In this report we show that a chimera containing the cleavable leader and ectodomain of G fused to the anchoring and cytoplasmic domains of HA is transported to the basolateral surface of polarized cells. Another chimera which contains the leader sequence of G fused to leader minus HA is transported to the apical surface of polarized cells. These results taken together suggest that the signals for the polarized transport of HA and G proteins may reside in their ectodomains.     

Real-Time Classification of EMG Myo Armband Data Using Support Vector Machine

ObjectivesThis study investigates the performance of the Support Vector Machine (SVM) to classify non-real-time and real-time EMG signals. The study also compares training performance using personalized and generalized data from all subjects. Thus, an idea about the data sets to be used in the training of the real-time classification model has been put forward. In addition, real-time classification results were obtained for ten days, and it was observed how training oneself would affect the classification results.Material and methods:EMG data were acquired for 7 hand gestures from 8 healthy subjects to create the data set: fist, fingers spread, wave-in, wave-out, pronation, supination, and rest. Subjects repeated each gesture 30 times. The Myo armband with 8 dry surface electrodes was used for data acquisition.Results14 features of the EMG signals have been extracted and non-real-time classification has been made for each feature; the highest accuracy of 96.38% was obtained using root mean square (RMS) and integrated EMG features. Three (3) kernel functions of SVM were tested in non-real-time classification and the highest accuracy was obtained with Cubic SVM using 3rd order polynomial. For this reason, Cubic SVM was used for real-time classification using the features that gave the best results in non-real-time classification. A subject repeated the gestures and real-time classification was performed. The highest accuracy of 99.05% was obtained with the mean absolute value (MAV) feature. The real-time classification was undertaken on eight subjects using the MAV feature's best performance with an average accuracy of 95.83% using the personalized data set and 91.79% using the generalized data set.ConclusionThe greatest accuracy is obtained by training the classifier with the subject's own data. Thus, it can be said that EMG signals are personal, just like fingerprints and retina. In addition, as a result, the tests repeated for 10 days showed the repeatability of the activation of the relevant muscle set and the training takes place and how this can be applied to those who will use prosthetic hands to obtain certain gestures.     

The effect of accelerometer location on the classification of single-site forearm mechanomyograms

Background  

Recently, pattern recognition methods have been deployed in the classification of multiple activation states from mechanomyogram (MMG) signals for the purpose of controlling switching interfaces. Given the propagative properties of MMG signals, it has been suggested that MMG classification should be robust to changes in sensor placement. Nonetheless, this purported robustness remains speculative to date. This study sought to quantify the change in classification accuracy, if any, when a classifier trained with MMG signals from the muscle belly, is subsequently tested with MMG signals from a nearby location.     

Local and global Ca2+ signals: physiology and pathophysiology

The pancreatic acinar unit is a classical example of a polarized tissue. Even in isolation, these cells retain their polarity, and this has made them particularly useful for Ca2+ signaling studies. In 1990, we discovered that this cell has the capability of producing both local cytosolic and global Ca2+ signals. The mechanisms underlying this signal generation have now been established. Furthermore, it has become clear that the local signals are sufficient for the control of both fluid and enzyme secretion, whereas prolonged global signals are dangerous and give rise to acute pancreatitis, a disease where the pancreas digests itself.     

Evidence for the possible existence of a second polarization-vision pathway in the locust brain

For spatial orientation and navigation, many insects derive compass information from the polarization pattern of the blue sky. The desert locust Schistocerca gregaria detects polarized light with a specialized dorsal rim area of its compound eye. In the locust brain, polarized-light signals are passed through the anterior optic tract and tubercle to the central complex which most likely serves as an internal sky compass. Here, we suggest that neurons of a second visual pathway, via the accessory medulla and posterior optic tubercle, also provide polarization information to the central complex. Intracellular recordings show that two types of neuron in this posterior pathway are sensitive to polarized light. One cell type connects the dorsal rim area of the medulla with the medulla and accessory medulla, and a second type connects the bilaterally paired posterior optic tubercles. Given the evidence for a role of the accessory medulla as the master clock controlling circadian changes in behavioral activity in flies and cockroaches, our data open the possibility that time-compensated polarized-light signals may reach the central complex via this pathway for time-compensated sky-compass navigation.     

External signal–mediated polarized growth in fungi

As the majority of fungi are nonmotile, polarized growth in response to an external signal enables them to search for nutrients and mating partners, and hence is crucial for survival and proliferation. Although the mechanisms underlying polarization in response to external signals has commonalities with polarization during mitotic division, during budding, and fission growth, the importance of diverse feedback loops regulating external signal–mediated polarized growth is likely to be distinct and uniquely adapted to a dynamic environment. Here, we highlight recent advances in our understanding of the mechanisms that are crucial for polarity in response to external signals in fungi, with particular focus on the roles of membrane traffic, small GTPases, and lipids, as well as the interplay between cell shape and cell growth.     

Feature selection for sleep/wake stages classification using data driven methods

This paper focuses on the problem of selecting relevant features extracted from human polysomnographic (PSG) signals to perform accurate sleep/wake stages classification. Extraction of various features from the electroencephalogram (EEG), the electro-oculogram (EOG) and the electromyogram (EMG) processed in the frequency and time domains was achieved using a database of 47 night sleep recordings obtained from healthy adults in laboratory settings. Multiple iterative feature selection and supervised classification methods were applied together with a systematic statistical assessment of the classification performances. Our results show that using a simple set of features such as relative EEG powers in five frequency bands yields an agreement of 71% with the whole database classification of two human experts. These performances are within the range of existing classification systems. The addition of features extracted from the EOG and EMG signals makes it possible to reach about 80% of agreement with the expert classification. The most significant improvement on classification accuracy is obtained on NREM sleep stage I, a stage of transition between sleep and wakefulness.