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https://www.readbyqxmd.com/read/28231453/siderophore-transport-by-mmpl5-mmps5-protein-complex-in-mycobacterium-tuberculosis
#1
Padmani Sandhu, Yusuf Akhter
Iron is an essential metal ion required for the various physiological activities of bacteria. The pathogenic bacteria remain dependent on the host cell for their iron requirements and evolved with specialized scavenging machinery in the form of iron chelating siderophores. Mycobacterium tuberculosis has two types of siderophore molecules, mycobactin and carboxymycobactin. These are synthesized inside bacterial cells and need to be transported outside by specialized membrane associated proteins. MmpL5-MmpS5 (mycobacterial membrane protein large5-mycobacterial membrane protein small5) complex has been linked to the export of non-ferrated siderophores to extracellular environment but the precise molecular mechanism involved was largely unknown...
February 14, 2017: Journal of Inorganic Biochemistry
https://www.readbyqxmd.com/read/28231172/chemometrics-methods-for-specificity-authenticity-and-traceability-analysis-of-olive-oils-principles-classifications-and-applications
#2
REVIEW
Habib Messai, Muhammad Farman, Abir Sarraj-Laabidi, Asma Hammami-Semmar, Nabil Semmar
BACKGROUND: Olive oils (OOs) show high chemical variability due to several factors of genetic, environmental and anthropic types. Genetic and environmental factors are responsible for natural compositions and polymorphic diversification resulting in different varietal patterns and phenotypes. Anthropic factors, however, are at the origin of different blends' preparation leading to normative, labelled or adulterated commercial products. Control of complex OO samples requires their (i) characterization by specific markers; (ii) authentication by fingerprint patterns; and (iii) monitoring by traceability analysis...
November 17, 2016: Foods (Basel, Switzerland)
https://www.readbyqxmd.com/read/28230998/influence-of-the-anomeric-conformation-in-the-intermolecular-interactions-of-glucose
#3
Imanol Usabiaga, Jorge González, Iker León, Pedro Felipe Arnaiz, Emilio J Cocinero, Jose A Fernandez
Carbohydrates are together with amino acids, DNA bases and lipids the building blocks of living beings. They play a central role in basic functions as immunity and signaling, which are governed by non-covalent interactions between sugar units and/or with other biomolecules. To get insights on such interactions between monosaccharide units, we used a combination of mass-resolved laser spectroscopy in supersonic expansions and molecular structure calculations. The results obtained clearly demonstrate that the small stability difference between the α/β anomers of glucopyranose derivatives is reversed and amplified during molecular aggregation, making the complexes of the β-anomers significantly more stable...
February 23, 2017: Journal of Physical Chemistry Letters
https://www.readbyqxmd.com/read/28230844/network-neuroscience
#4
REVIEW
Danielle S Bassett, Olaf Sporns
Despite substantial recent progress, our understanding of the principles and mechanisms underlying complex brain function and cognition remains incomplete. Network neuroscience proposes to tackle these enduring challenges. Approaching brain structure and function from an explicitly integrative perspective, network neuroscience pursues new ways to map, record, analyze and model the elements and interactions of neurobiological systems. Two parallel trends drive the approach: the availability of new empirical tools to create comprehensive maps and record dynamic patterns among molecules, neurons, brain areas and social systems; and the theoretical framework and computational tools of modern network science...
February 23, 2017: Nature Neuroscience
https://www.readbyqxmd.com/read/28230815/conceptual-foundations-of-systems-biology-explaining-complex-cardiac-diseases
#5
REVIEW
George E Louridas, Katerina G Lourida
Systems biology is an important concept that connects molecular biology and genomics with computing science, mathematics and engineering. An endeavor is made in this paper to associate basic conceptual ideas of systems biology with clinical medicine. Complex cardiac diseases are clinical phenotypes generated by integration of genetic, molecular and environmental factors. Basic concepts of systems biology like network construction, modular thinking, biological constraints (downward biological direction) and emergence (upward biological direction) could be applied to clinical medicine...
February 21, 2017: Healthcare (Basel, Switzerland)
https://www.readbyqxmd.com/read/28230789/fungal-ribotoxins-a-review-of-potential-biotechnological-applications
#6
REVIEW
Miriam Olombrada, Rodrigo Lázaro-Gorines, Juan C López-Rodríguez, Álvaro Martínez-Del-Pozo, Mercedes Oñaderra, Moisés Maestro-López, Javier Lacadena, José G Gavilanes, Lucía García-Ortega
Fungi establish a complex network of biological interactions with other organisms in nature. In many cases, these involve the production of toxins for survival or colonization purposes. Among these toxins, ribotoxins stand out as promising candidates for their use in biotechnological applications. They constitute a group of highly specific extracellular ribonucleases that target a universally conserved sequence of RNA in the ribosome, the sarcin-ricin loop. The detailed molecular study of this family of toxic proteins over the past decades has highlighted their potential in applied research...
February 21, 2017: Toxins
https://www.readbyqxmd.com/read/28230725/towards-a-semantic-web-of-things-a-hybrid-semantic-annotation-extraction-and-reasoning-framework-for-cyber-physical-system
#7
Zhenyu Wu, Yuan Xu, Yunong Yang, Chunhong Zhang, Xinning Zhu, Yang Ji
Web of Things (WoT) facilitates the discovery and interoperability of Internet of Things (IoT) devices in a cyber-physical system (CPS). Moreover, a uniform knowledge representation of physical resources is quite necessary for further composition, collaboration, and decision-making process in CPS. Though several efforts have integrated semantics with WoT, such as knowledge engineering methods based on semantic sensor networks (SSN), it still could not represent the complex relationships between devices when dynamic composition and collaboration occur, and it totally depends on manual construction of a knowledge base with low scalability...
February 20, 2017: Sensors
https://www.readbyqxmd.com/read/28230528/biologically-plausible-learning-in-recurrent-neural-networks-reproduces-neural-dynamics-observed-during-cognitive-tasks
#8
Thomas Miconi
Neural activity during cognitive tasks exhibits complex dynamics that flexibly encode task-relevant variables. Chaotic recurrent networks, which spontaneously generate rich dynamics, have been proposed as a model of cortical computation during cognitive tasks. However, existing methods for training these networks are either biologically implausible, and/or require a continuous, real-time error signal to guide learning. Here we show that a biologically plausible learning rule can train such recurrent networks, guided solely by delayed, phasic rewards at the end of each trial...
February 23, 2017: ELife
https://www.readbyqxmd.com/read/28230166/a-universal-indicator-of-critical-state-transitions-in-noisy-complex-networked-systems
#9
Junhao Liang, Yanqing Hu, Guanrong Chen, Tianshou Zhou
Critical transition, a phenomenon that a system shifts suddenly from one state to another, occurs in many real-world complex networks. We propose an analytical framework for exactly predicting the critical transition in a complex networked system subjected to noise effects. Our prediction is based on the characteristic return time of a simple one-dimensional system derived from the original higher-dimensional system. This characteristic time, which can be easily calculated using network data, allows us to systematically separate the respective roles of dynamics, noise and topology of the underlying networked system...
February 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28229628/impaired-glucose-tolerance-after-streptozotocin-microinjection-into-the-mediodorsal-prefrontal-cortex-of-the-rat
#10
B Nagy, I Szabó, G Takács, B Csetényi, E Hormay, Z Karádi
The mediodorsal prefrontal cortex (mdPFC) is a key structure of the central glucose-monitoring (GM) neural network. Previous studies indicate that intracerebral streptozotocin (STZ) microinjection-induced destruction of local chemosensory neurons results in feeding and metabolic alterations. The present experiments aimed to examine whether STZ microinjection into the mdPFC causes metabolic deficits. To do so, glucose tolerance test (GTT) and measurements of plasma metabolites were performed in STZ-treated or control rats...
December 2016: Physiol Int
https://www.readbyqxmd.com/read/28229131/discovering-cortical-folding-patterns-in-neonatal-cortical-surfaces-using-large-scale-dataset
#11
Yu Meng, Gang Li, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen
The cortical folding of the human brain is highly complex and variable across individuals. Mining the major patterns of cortical folding from modern large-scale neuroimaging datasets is of great importance in advancing techniques for neuroimaging analysis and understanding the inter-individual variations of cortical folding and its relationship with cognitive function and disorders. As the primary cortical folding is genetically influenced and has been established at term birth, neonates with the minimal exposure to the complicated postnatal environmental influence are the ideal candidates for understanding the major patterns of cortical folding...
October 2016: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://www.readbyqxmd.com/read/28229088/glutathione-induces-gaba-release-through-p2x7r-activation-on-m%C3%A3-ller-glia
#12
Hércules Rezende Freitas, Ricardo A de Melo Reis
The retinal tissue of warm-blooded vertebrates performs surprisingly complex and accurate transduction of visual information. To achieve precision, a multilayered neuroglia structure is established throughout the embryonic development, and the presence of radial Müller (glial) cells ensure differentiation, growth and survival for the neuronal elements within retinal environment. It is assumed that Müller cells serve as a dynamic reservoir of progenitors, capable of expressing transcription factors, differentiating and proliferating as either neuronal or glial cells depending on extrinsic cues...
2017: Neurogenesis (Austin, Tex.)
https://www.readbyqxmd.com/read/28228737/schizophrenia-associated-with-epileptiform-discharges-without-seizures-successfully-treated-with-levetiracetam
#13
Dominique Endres, Evgeniy Perlov, Bernd Feige, Dirk-Matthias Altenmüller, Nils Venhoff, Ludger Tebartz van Elst
BACKGROUND: Schizophrenia-like disorders can be divided into endogenic or primary, idiopathic, polygenetic forms, and different secondary, organic subgroups [e.g., (para)epileptic, immunological, degenerative]. Epileptic and paraepileptic explanatory approaches have a long tradition due to the high rate of electroencephalography (EEG) alterations in patients with schizophrenia. CASE PRESENTATION: We present the case of a 23-year-old female patient suffering, since the age of 14 years, from a fluctuating paranoid-hallucinatory syndrome with formal thought disorder, fear, delusions of persecution, auditory, visual, and tactile hallucinations, as well as negative and cognitive symptoms...
2017: Frontiers in Psychiatry
https://www.readbyqxmd.com/read/28228687/reproductive-biology-and-variation-of-nuclear-ribosomal-its-and-ets-sequences-in-the-calligonum-mongolicum-complex-polygonaceae
#14
Wei Shi, Jun Wen, Yanfeng Zhao, Gabriel Johnson, Borong Pan
To explore the biosystematics of the Calligonum mongolicum complex (Polygonaceae), the flowering phenological period, breeding and pollination characters and seed set of the complex (Calligonum Mongolicum Turze, Calligonum chinense A. Los., Calligonum gobicum A. Los., Calligonum pumilum A. Los. and Calligonum zaidamense A. Los.) were documented in the Turpan Eremophyte Botanical Garden, China. The sequences of the nuclear ribosomal ITS and ETS region were employed to differentiate the Calligonum mongolicum complex and other species in sect...
2017: PhytoKeys
https://www.readbyqxmd.com/read/28228483/new-concepts-and-mechanisms-of-platelet-activation-signaling
#15
REVIEW
Brian Estevez, Xiaoping Du
Upon blood vessel injury, platelets are exposed to adhesive proteins in the vascular wall and soluble agonists, which initiate platelet activation, leading to formation of hemostatic thrombi. Pathological activation of platelets can induce occlusive thrombosis, resulting in ischemic events such as heart attack and stroke, which are leading causes of death globally. Platelet activation requires intracellular signal transduction initiated by platelet receptors for adhesion proteins and soluble agonists. Whereas many platelet activation signaling pathways have been established for many years, significant recent progress reveals much more complex and sophisticated signaling and amplification networks...
March 2017: Physiology
https://www.readbyqxmd.com/read/28227870/identifying-disease-network-perturbations-through-regression-on-gene-expression-and-pathway-topology-analysis
#16
Georgios N Dimitrakopoulos, Panos Balomenos, Aristidis G Vrahatis, Kyriakos Sgarbas, Anastasios Bezerianos, Georgios N Dimitrakopoulos, Panos Balomenos, Aristidis G Vrahatis, Kyriakos Sgarbas, Anastasios Bezerianos, Kyriakos Sgarbas, Panos Balomenos, Georgios N Dimitrakopoulos, Anastasios Bezerianos, Aristidis G Vrahatis
In Systems Biology, network-based approaches have been extensively used to effectively study complex diseases. An important challenge is the detection of network perturbations which disrupt regular biological functions as a result of a disease. In this regard, we introduce a network based pathway analysis method which isolates casual interactions with significant regulatory roles within diseased-perturbed pathways. Specifically, we use gene expression data with Random Forest regression models to assess the interactivity strengths of genes within disease-perturbed networks, using KEGG pathway maps as a source of prior-knowledge pertaining to pathway topology...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227856/multiquadric-spline-based-interactive-segmentation-of-vascular-networks
#17
Sachin Meena, V B Surya Prasath, Yasmin M Kassim, Richard J Maude, Olga V Glinskii, Vladislav V Glinsky, Virginia H Huxley, Kannappan Palaniappan, Sachin Meena, V B Surya Prasath, Yasmin M Kassim, Richard J Maude, Olga V Glinskii, Vladislav V Glinsky, Virginia H Huxley, Kannappan Palaniappan, Virginia H Huxley, Yasmin M Kassim, Sachin Meena, Kannappan Palaniappan, Vladislav V Glinsky, Olga V Glinskii, Richard J Maude, V B Surya Prasath
Commonly used drawing tools for interactive image segmentation and labeling include active contours or boundaries, scribbles, rectangles and other shapes. Thin vessel shapes in images of vascular networks are difficult to segment using automatic or interactive methods. This paper introduces the novel use of a sparse set of user-defined seed points (supervised labels) for precisely, quickly and robustly segmenting complex biomedical images. A multiquadric spline-based binary classifier is proposed as a unique approach for interactive segmentation using as features color values and the location of seed points...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227773/whole-heart-modeling-spatiotemporal-dynamics-of-electrical-wave-conduction-and-propagation
#18
Hui Yang, Yun Chen, Fabio M Leonelli, Hui Yang, Yun Chen, Fabio M Leonelli, Hui Yang, Fabio M Leonelli, Yun Chen
Cardiac electrical activities are varying in both space and time. Human heart consists of a fractal network of muscle cells, Purkinje fibers, arteries and veins. Whole-heart modeling of electrical wave conduction and propagation involves a greater level of complexity. Our previous work developed a computer model of the anatomically realistic heart and simulated the electrical conduction with the use of cellular automata. However, simplistic assumptions and rules limit its ability to provide an accurate approximation of real-world dynamics on the complex heart surface, due to sensitive dependence of nonlinear dynamical systems on initial conditions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227749/reconstructing-multivariate-causal-structure-between-functional-brain-networks-through-a-laguerre-volterra-based-granger-causality-approach
#19
Andrea Duggento, Gaetano Valenza, Luca Passamonti, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi, Andrea Duggento, Gaetano Valenza, Luca Passamonti, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi, Andrea Duggento, Nicola Toschi, Maria Guerrisi, Luca Passamonti, Riccardo Barbieri, Gaetano Valenza
Classical multivariate approaches based on Granger causality (GC) which estimate functional connectivity in the brain are almost exclusively based on autoregressive models. Nevertheless, information available from past samples is limited due to both signal autocorrelation and necessarily low model orders. Consequently, multiple time-scales interactions are usually unaccounted for. To overcome these limitations, in this study we propose the use of discrete-time orthogonal Laguerre basis functions within a Wiener-Volterra decomposition of the BOLD signals to perform effective GC assessments of brain functional connectivity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227550/classification-of-eeg-based-mental-fatigue-using-principal-component-analysis-and-bayesian-neural-network
#20
Rifai Chai, Yvonne Tran, Ganesh R Naik, Tuan N Nguyen, Sai Ho Ling, Ashley Craig, Hung T Nguyen, Rifai Chai, Yvonne Tran, Ganesh R Naik, Tuan N Nguyen, Sai Ho Ling, Ashley Craig, Hung T Nguyen, Ashley Craig, Tuan N Nguyen, Sai Ho Ling, Hung T Nguyen, Yvonne Tran, Ganesh R Naik, Rifai Chai
This paper presents an electroencephalography (EEG) based-classification of between pre- and post-mental load tasks for mental fatigue detection from 65 healthy participants. During the data collection, eye closed and eye open tasks were collected before and after conducting the mental load tasks. For the computational intelligence, the system uses the combination of principal component analysis (PCA) as the dimension reduction method of the original 26 channels of EEG data, power spectral density (PSD) as feature extractor and Bayesian neural network (BNN) as classifier...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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