Livres : « Singola molecola »

1

Fresh air: And, The story of molecule. Carcanet Press Limited, 2012.

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2

Molecular imaging: Radiopharmaceuticals for PET and SPECT. Springer-Verlag, 2009.

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service), SpringerLink (Online, ed. Structured Light Fields: Applications in Optical Trapping, Manipulation, and Organisation. Springer Berlin Heidelberg, 2012.

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Dinman, Jonathan D. Biophysical approaches to translational control of gene expression. Springer New York, 2013.

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5

Imaging dopamine. Cambridge University Press, 2009.

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Kaila, M. M. Molecular Imaging of the Brain: Using Multi-Quantum Coherence and Diagnostics of Brain Disorders. Springer Berlin Heidelberg, 2013.

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Michel, Laguës, and SpringerLink (Online service), eds. Scale Invariance: From Phase Transitions to Turbulence. Springer-Verlag Berlin Heidelberg, 2012.

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8

Wernsdorfer, W. Molecular nanomagnets. Edited by A. V. Narlikar and Y. Y. Fu. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199533060.013.4.

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This article describes the quantum phenomena observed in molecular nanomagnets. Molecular nanomagnets, or single-molecule magnets (SMMs), provides a fundamental link between spintronics and molecular electronics. SMMs combine the classic macroscale properties of a magnet with the quantum properties of a nanoscale entity. The resulting field, molecular spintronics, aims at manipulating spins and charges in electronic devices containing one or more molecules. This article first considers molecular nanomagnets and the giant spin model for nanomagnets before discussing the quantum dynamics of a dimer of nanomagnets, resonant photon absorption in Cr7Ni antiferromagnetic rings, and photon-assisted tunnelling in a single-molecule magnet. It also examines environmental decoherence effects in nanomagnets and concludes by highlighting the new trends towards molecular spintronics using junctions and nano-SQUIDs.

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Launay, Jean-Pierre, and Michel Verdaguer. The localized electron: magnetic properties. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198814597.003.0002.

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After preliminaries about electron properties, and definitions in magnetism, one treats the magnetism of mononuclear complexes, in particular spin cross-over, showing the role of cooperativity and the sensitivity to external perturbations. Orbital interactions and exchange interaction are explained in binuclear model systems, using orbital overlap and orthogonality concepts to explain antiferromagnetic or ferromagnetic coupling. The phenomenologically useful Spin Hamiltonian is defined. The concepts are then applied to extended molecular magnetic systems, leading to molecular magnetic materials of various dimensionalities exhibiting bulk ferro- or ferrimagnetism. An illustration is provided by Prussian Blue analogues. Magnetic anisotropy is introduced. It is shown that in some cases, a slow relaxation of magnetization arises and gives rise to appealing single-ion magnets, single-molecule magnets or single-chain magnets, a route to store information at the molecular level.

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(Editor), John E. Gilbert, Y. S. Han (Editor), J. A. Hogan (Editor), Joseph D. Lakey (Editor), D. Weiland (Editor), and G. Weiss (Editor), eds. Smooth Molecular Decompositions of Functions and Singular Integral Operators. American Mathematical Society, 2002.

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Orrit, Michel. Single-molecule spectroscopy. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198768609.003.0006.

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This chapter gives an overview of the main optical methods used to detect and study single molecules and other small objects (nano-objects). Much of the work so far has exploited the excellent sensitivity and selectivity of fluorescence, but several new techniques, mostly based on nonlinear optics, have recently reached the single-molecule or single-nanoparticle regime. The chapter briefly discusses some results with reference to published reviews. Single-molecule techniques have now been incorporated into the arsenal of the physico-chemist and the cell biologist. However, the recent development of super-resolution techniques and of new labels suggests that further progress can be expected from measurements on single nano-objects in the next few years.

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Appasani, Krishnarao, and Raghu Kiran Appasani, eds. Single-Molecule Science. Cambridge University Press, 2022. http://dx.doi.org/10.1017/9781108525909.

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Single Molecule Science (SMS) has emerged from developing, using and combining technologies such as super-resolution microscopy, atomic force microscopy, and optical and magnetic tweezers, alongside sophisticated computational and modelling techniques. This comprehensive, edited volume brings together authoritative overviews of these methods from a biological perspective, and highlights how they can be used to observe and track individual molecules and monitor molecular interactions in living cells. Pioneers in this fast-moving field cover topics such as single molecule optical maps, nanomachines, and protein folding and dynamics. A particular emphasis is also given to mapping DNA molecules for diagnostic purposes, and the study of gene expression. With numerous illustrations, this book reveals how SMS has presented us with a new way of understanding life processes. A must-have for researchers and graduate students, as well as those working in industry, primarily in the areas of biophysics, biological imaging, genomics and structural biology.

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Divan, Aysha, and Janice A. Royds. 5. Molecular interactions. Oxford University Press, 2016. http://dx.doi.org/10.1093/actrade/9780198723882.003.0005.

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Every nucleated diploid cell in the body, with the exception of B and T cells of the immune system, has the same genome as its originating single fertilized egg. During development, this single cell differentiates into a complex multicellular organism composed of various cells and tissues each carrying out specialized functions. Although each cell contains a genome of data it needs to select the relevant information from this genetic blueprint to fulfil its own specific function. ‘Molecular interactions’ shows that proteins must be produced in the right place and at the right time. This requires regulation of gene expression in conjunction with a myriad of bio-molecular interactions to coordinate this.

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Launay, Jean-Pierre, and Michel Verdaguer. Electrons in Molecules. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198814597.001.0001.

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The book treats in a unified way electronic properties of molecules (magnetic, electrical, photophysical), culminating with the mastering of electrons, i.e. molecular electronics and spintronics and molecular machines. Chapter 1 recalls basic concepts. Chapter 2 describes the magnetic properties due to localized electrons. This includes phenomena such as spin cross-over, exchange interaction from dihydrogen to extended molecular magnetic systems, and magnetic anisotropy with single-molecule magnets. Chapter 3 is devoted to the electrical properties due to moving electrons. One considers first electron transfer in discrete molecular systems, in particular in mixed valence compounds. Then, extended molecular solids, in particular molecular conductors, are described by band theory. Special attention is paid to structural distortions (Peierls instability) and interelectronic repulsions in narrow-band systems. Chapter 4 treats photophysical properties, mainly electron transfer in the excited state and its applications to photodiodes, organic light emitting diodes, photovoltaic cells and water photolysis. Energy transfer is also treated. Photomagnetism (how a photonic excitation modifies magnetic properties) is introduced. Finally, Chapter 5 combines the previous knowledge for three advanced subjects: first molecular electronics in its hybrid form (molecules connected to electrodes acting as wires, diodes, memory elements, field-effect transistors) or in the quantum computation approach. Then, molecular spintronics, using, besides the charge, the spin of the electron. Finally the theme of molecular machines is presented, with the problem of the directionality control of their motion.

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van Ruitenbeek, Jan M. Quasi-ballistic electron transport in atomic wires. Edited by A. V. Narlikar and Y. Y. Fu. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199533046.013.5.

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This article describes quasi-ballistic electron transport in atomic wires. It begins with a review of experiments on the conduction properties for single metal atoms. Nearly all the information on the properties of such nanocontacts should be extracted from the current and voltage only. Nevertheless, a wide range of techniques has been developed to obtain detailed information. The article proceeds by considering various experimental techniques for characterizing single-atom contacts, along with their application for the study of conducting chains of individual metal atoms and for metal–molecule–metal junctions. Using metallic point contacts and molecular junctions that are of atomic size, it demonstrates that the transport of electrons can be quasi-ballistic and the deviations from perfect transmission can be quantified and interpreted.

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Lyubchenko, Yuri L. Introduction to Single Molecule Biophysics. Taylor & Francis Group, 2018.

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Single-particle cryoEM of Biological Macromolecules. Iop Publishing Ltd, 2021.

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Introduction to Single Molecule Biophysics. Taylor & Francis Group, 2017.

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Lyubchenko, Yuri L. Introduction to Single Molecule Biophysics. Taylor & Francis Group, 2017.

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Lyubchenko, Yuri L. Introduction to Single Molecule Biophysics. Taylor & Francis Group, 2017.

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Lyubchenko, Yuri L. Introduction to Single Molecule Biophysics. Taylor & Francis Group, 2017.

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Molecular Anatomic Imaging. Lippincott Williams & Wilkins, 2015.

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Eland, John H. D., and Raimund Feifel. Introduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198788980.003.0001.

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After very brief historical notes, the basis of the TOF-PEPECO technique is explained and other techniques for spectra of doubly charged positive ions are described and compared with this modern method. The meaning of ionisation energies in the context of molecular double ionisation is discussed, with their relationship to electron orbital configurations. With the advent of photoelectron spectroscopy in the 1960s, new techniques allowed complete spectra of valence electron ionisations for each molecule to be revealed in a single measurement. The effects on the spectra of the different major pathways from starting molecules to final doubly ionised states are explained. Details of the experiments are given, including pulsed lamps, synchrotron radiation as light sources, and the magnetic bottle time-of-flight electron spectrometer.

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Eland, John H. D., and Raimund Feifel. Triatomic molecules. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198788980.003.0004.

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Double ionisation of the triatomic molecules presented in this chapter shows an added degree of complexity. Besides potentially having many more electrons, they have three vibrational degrees of freedom (three normal modes) instead of the single one in a diatomic molecule. For asymmetric and bent triatomic molecules multiple modes can be excited, so the spectral bands may be congested in all forms of electronic spectra, including double ionisation. Double photoionisation spectra of H2O, H2S, HCN, CO2, N2O, OCS, CS2, BrCN, ICN, HgCl2, NO2, and SO2 are presented with analysis to identify the electronic states of the doubly charged ions. The order of the molecules in this chapter is set first by the number of valence electrons, then by the molecular weight.

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Cazeneuve, Cécile, and Alexandra Durr. Genetic and Molecular Studies. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199929146.003.0006.

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Huntington’s disease (HD) is a rare inherited neurologic disorder due to a single mutational mechanism in a large gene (HTT). The mutation is an abnormal CAG repeat expansion, which is translated to a polyglutamine stretch in the huntingtin protein. The growing field of repeat expansion disorders benefits greatly from the lessons learned from the role of the CAG repeat expansion in HD and its resulting phenotype–genotype correlations. The molecular diagnosis can be difficult, and there are some pitfalls for accurate sizing of the CAG repeat, especially in juvenile HD and for intermediate alleles. Correlation between CAG length and age of onset accounts for up to 72% of the variance in different populations, but the search for genes modifying age of onset or progression of HD is still ongoing.

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Gallas, John. Fresh Air and the Story of Molecule. Carcanet Press, Limited, 2012.

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Gallas, John. Fresh Air and the Story of Molecule. Carcanet Press, Limited, 2014.

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Bensimon, David, Vincent Croquette, Jean-François Allemand, Xavier Michalet, and Terence Strick. Single-Molecule Studies of Nucleic Acids and Their Proteins. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198530923.001.0001.

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This book presents a comprehensive overview of the foundations of single-molecule studies, based on manipulation of the molecules and observation of these with fluorescent probes. It first discusses the forces present at the single-molecule scale, the methods to manipulate them, and their pros and cons. It goes on to present an introduction to single-molecule fluorescent studies based on a quantum description of absorption and emission of radiation due to Einstein. Various considerations in the study of single molecules are introduced (including signal to noise, non-radiative decay, triplet states, etc.) and some novel super-resolution methods are sketched. The elastic and dynamic properties of polymers, their relation to experiments on DNA and RNA, and the structural transitions observed in those molecules upon stretching, twisting, and unzipping are presented. The use of these single-molecule approaches for the investigation of DNA–protein interactions is highlighted via the study of DNA and RNA polymerases, helicases, and topoisomerases. Beyond the confirmation of expected mechanisms (e.g., the relaxation of DNA torsion by topoisomerases in quantized steps) and the discovery of unexpected ones (e.g., strand-switching by helicases, DNA scrunching by RNA polymerases, and chiral discrimination by bacterial topoII), these approaches have also fostered novel (third generation) sequencing technologies.

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Lin, Yunfeng, and Xiaoxiao Cai. Adipogenesis: Signaling Pathways, Molecular Regulation and Impact on Human Disease. Nova Science Publishers, Incorporated, 2013.

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Canli, Turhan, ed. The Oxford Handbook of Molecular Psychology. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199753888.001.0001.

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Determining the biological bases for behavior—and the extent to which we can observe and explain their neural underpinnings—requires a bold, broadly defined research methodology. The interdisciplinary entries in this handbook are organized around the principle of “molecular psychology,” which unites cutting-edge research from such wide-ranging disciplines as clinical neuroscience and genetics, psychology, behavioral neuroscience, and neuroethology. For the first time in a single volume, leaders from diverse research areas present their work in which they use molecular approaches to investigate social behavior, psychopathology, emotion, cognition, and stress in healthy volunteers, patient populations, and an array of nonhuman species including nonhuman primates, rodents, insects, and fish. Chapters draw on molecular methods covering candidate genes, genome-wide association studies, copy number variations, gene expression studies, and epigenetics while addressing the ethical, legal, and social issues to emerge from this new and exciting research approach.

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Single Domain Antibodies Methods in Molecular Biology Hardcover. Humana Press, 2012.

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Molecular Anatomic Imaging: PET-CT and SPECT-CT Integrated Modality Imaging. 2nd ed. Lippincott Williams & Wilkins, 2006.

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Suffredini, Anthony F., and J. Perren Cobb. Genetic and molecular expression patterns in critical illness. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0031.

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Investigators who study RNA, proteins, or metabolites use analytic platforms that simultaneously measure changes in the relative abundance of thousands of molecules in a single biological sample. Over the last decade, the application of these high-throughput, genome-wide platforms to study critical illness and injury has generated huge quantities of data that require specialized computational skills for analysis. These investigations hold promise for improving our understanding of the host response, thereby transforming the practice of intensive care. This chapter summarizes recent technological and computational approaches used in genomics, proteomics, and metabolomics. While major advances have been made with these approaches when applied to chronic diseases, the acute nature of critical illness and injury has unique challenges. The rapidity of initiating events, the trajectory of inflammation that follows injury or infection and the interplay of host responses to a replicating infection, all have major effects on changes in gene and molecular expression. This complexity is further accentuated by measurement that may vary with the timing and type of tissue sampled after the critical event. In addition, the hunt for novel molecular markers holds promise for identifying patients at risk for severe illness and for enabling more individualized therapy.

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Yang, Jinlong, and Qunxiang Li. Theoretical simulations of scanning tunnelling microscope images and spectra of nanostructures. Edited by A. V. Narlikar and Y. Y. Fu. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199533046.013.15.

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This article presents theoretical simulations of scanning tunnelling microscope (STM) images and spectra of nanostructures. It begins with an overview of the theories of STM and scanning tunnelling spectroscopy (STS), focusing on four main approaches: the perturbation or Bardeen approach, the Tersoff–Hamann approach and its extension, the scattering theory or Landauer–Bütticker approach, and the non-equilibrium Green's function or Keldysh approach. It then considers conventional STM and STS experimental investigations of various systems including clean surfaces, ad-atoms, single molecules, self-assembled monolayers, and nanostructures. It also discusses STM activities that go beyond conventional STM images and STS, such as functionalized STM tip, inelastic spectroscopy identification, manipulation, molecular electronics and molecular machines.

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Succi, Sauro. QLB for Quantum Many-Body and Quantum Field Theory. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199592357.003.0033.

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Chapter 32 expounded the basic theory of quantum LB for the case of relativistic and non-relativistic wavefunctions, namely single-particle quantum mechanics. This chapter goes on to cover extensions of the quantum LB formalism to the overly challenging arena of quantum many-body problems and quantum field theory, along with an appraisal of prospective quantum computing implementations. Solving the single particle Schrodinger, or Dirac, equation in three dimensions is a computationally demanding task. This task, however, pales in front of the ordeal of solving the Schrodinger equation for the quantum many-body problem, namely a collection of many quantum particles, typically nuclei and electrons in a given atom or molecule.

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Levitan, Irwin B., and Leonard K. Kaczmarek. The Neuron. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199773893.001.0001.

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The Fourth Edition of The Neuron provides a comprehensive first course in the cell and molecular biology of nerve cells. It begins with properties of the many newly discovered ion channels that have emerged through mapping of the genome and which shape the way a single neuron generates varied patterns of electrical activity. It also covers the molecular mechanisms that convert electrical activity into the secretion of neurotransmitter hormones at synaptic junctions between neurons. It discusses the biochemical pathways that are linked to the action of neurotransmitters and that can alter the cellular properties of neurons or sensory cells that transduce information from the outside world into the electrical code used by neurons, and the rapidly expanding knowledge of the molecular factors that induce an undifferentiated cell to become a neuron, and then guide it to form appropriate synaptic connections with its partners. Also addressed is the role of ongoing experience and activity in shaping these connections, and the mechanisms thought to underlie the phenomena of learning and memory.

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Winker, Margaret A., Richard M. Glass, and Harriet S. Meyer. Nomenclature. Oxford University Press, 2009. http://dx.doi.org/10.1093/jama/9780195176339.003.0015.

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This chapter is devoted to nomenclature: systematically formulated names for specific entities. Biological nomenclature dates back at least to the 18th century. Since the mid-20th century, many biomedical disciplines have established committees to develop and promulgate official systems of nomenclature. Accelerating knowledge, particularly from molecular biology, necessitated the official biomedical nomenclature systems, sometimes with dramatic results. For instance, a single coagulation factor had been referred to by 14 different names...

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Biswas, S. K. Nanotribology. Edited by A. V. Narlikar and Y. Y. Fu. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199533046.013.13.

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This article provides an overview of nanotribology, with particular emphasis on the scalable regime where contact dimensions, topographical perturbations, confinement scale and molecular dimensions are of the same order. It first defines nanotribology and describes some of the instruments used to assess the physics and chemistry of materials in the contact region, including the atomic force microscope, surface force apparatus, and quartz crystal microbalance. It then considers the interfacial phenomena and interaction forces as well as the microscopic origins of friction, focusing on Amonton's Law at the single asperity, atomistic modelling of adhesion and friction, and analysis of coherence in molecular lubrication by means of the Eyring equation. The article also examines the problem of boundary lubrication in two cases: oil in confinement and self-assembled additives in confinement.

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Eyre, Janet. Neurodevelopmental disorders. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780198569381.003.0189.

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Remarkable advances in the neurosciences, particularly in the fields of genetics, molecular biology, metabolism, and nutrition, have greatly advanced our understanding of how the brain develops and responds to environmental influences. Neurodevelopmental disorders arise from perturbation of these normal developmental processes, by insults from heterogeneous aetiological factors. These factors trigger a sequence of molecular, biochemical, and morphological alterations of the brain, resulting in a morphologically and/ or functionally abnormal brain. Rapidly advancing understanding of basic neurodevelopmental processes has direct relevance to understanding human neurodevelopmental disorders, providing insights into pathogenic mechanisms and revealing new pathways that can be exploited in diagnosis and treatment. Conversely the identification of the molecular bases of several neurodevelopmental disorders has also provided invaluable insights into the mechanisms of normal brain development. Technical advances have also improved methods for identifying brain regions involved in developmental disorders, for tracing connections between parts of the brain, for visualizing individual neurons in living brain preparations, for recording the activities of neurons, and for studying the activity of single-ion channels and the receptors for various neurotransmitters. During the past 10 years the genetic basis of an ever increasing number of neurodevelopmental disorders has been discovered and has led to better understanding of the neurobiological basis of even common disorders such as global developmental delay, cerebral palsy, and autism. Current research should reveal their underlying molecular biology and eventually the possibility of targeted chemotherapy and the prevention of many neurodevelopmental disorders.

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Borman, Andrew M. Fungal taxonomy and nomenclature. Edited by Christopher C. Kibbler, Richard Barton, Neil A. R. Gow, Susan Howell, Donna M. MacCallum, and Rohini J. Manuel. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198755388.003.0002.

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This chapter summarizes historical and modern approaches to fungal taxonomy, the current taxonomic standing of medically important fungi, and the implications for fungal nomenclature following the recent Amsterdam Declaration on Fungal Nomenclature, which prohibits dual nomenclature. Fungi comprise an entire kingdom, containing an estimated 1–10 million species. Traditionally, fungal identification was based on examination of morphological and phenotypic features, including the type of sexual spores they form, and method of formation, and structural features of their asexual spores. Thus, many fungi have been described and named independently several times based on either their sexual or asexual stages, resulting in a single genetic entity having multiple names. Recent molecular approaches to fungal identification have led to profound changes in fungal nomenclature and taxonomy. Certain phyla have now been disbanded, cryptic species have been identified via molecular approaches, and long-recognized species have been transferred to new genera based on genotypic comparisons.

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Wördemann, Mike. Structured Light Fields: Applications in Optical Trapping, Manipulation, and Organisation. Springer Berlin / Heidelberg, 2014.

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Wördemann, Mike. Structured Light Fields: Applications in Optical Trapping, Manipulation, and Organisation. Springer, 2012.

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Dinman, Jonathan D. Biophysical approaches to translational control of gene expression. Springer, 2014.

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Charney, Alexander, and Pamela Sklar. Genetics of Schizophrenia and Bipolar Disorder. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0013.

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Schizophrenia and bipolar disorder are the classic psychotic disorders. Both diseases are strongly familial, but have proven recalcitrant to genetic methodologies for identifying the etiology until recently. There is now convincing genetic evidence that indicates a contribution of many DNA changes to the risk of becoming ill. For schizophrenia, there are large contributions of rare copy number variants and common single nucleotide variants, with an overall highly polygenic genetic architecture. For bipolar disorder, the role of copy number variation appears to be much less pronounced. Specific common single nucleotide polymorphisms are associated, and there is evidence for polygenicity. Several surprises have emerged from the genetic data that indicate there is significantly more molecular overlap in copy number variants between autism and schizophrenia, and in common variants between schizophrenia and bipolar disorder.

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Cumming, Paul. Imaging Dopamine. Cambridge University Press, 2009.

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Cumming, Paul. Imaging Dopamine. Cambridge University Press, 2009.

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Cumming, Paul. Imaging Dopamine. Cambridge University Press, 2009.

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Cumming, Paul. Imaging Dopamine. Cambridge University Press, 2009.

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Cumming, Paul. Imaging Dopamine. Cambridge University Press, 2009.

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Bianconi, Ginestra. Multilayer Networks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753919.001.0001.

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Multilayer networks are formed by several networks that interact with each other and co-evolve. Multilayer networks include social networks, financial markets, transportation systems, infrastructures and molecular networks and the brain. The multilayer structure of these networks strongly affects the properties of dynamical and stochastic processes defined on them, which can display unexpected characteristics. For example, interdependencies between different networks of a multilayer structure can cause cascades of failure events that can dramatically increase the fragility of these systems; spreading of diseases, opinions and ideas might take advantage of multilayer network topology and spread even when its single layers cannot sustain an epidemic when taken in isolation; diffusion on multilayer transportation networks can significantly speed up with respect to diffusion on single layers; finally, the interplay between multiplexity and controllability of multilayer networks is a problem with major consequences in financial, transportation, molecular biology and brain networks. This field is one of the most prosperous recent developments of Network Science and Data Science. Multilayer networks include multiplex networks, multi-slice temporal networks, networks of networks, interdependent networks. Multilayer networks are characterized by having a highly correlated multilayer network structure, providing a significant advantage for extracting information from them using multilayer network measures and centralities and community detection methods. The multilayer network dynamics (including percolation, epidemic spreading, diffusion, synchronization, game theory and control) is strongly affected by the multilayer network topology. This book will present a comprehensive account of this emerging field.

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