@inproceedings{18339,
  abstract     = {Automatic detection of symmetries, regularity, and repetitive structures in 3D geometry is a fundamental problem in shape analysis and pattern recognition with applications in computer vision and graphics. Especially challenging is to detect intrinsic regularity, where the repetitions are on an intrinsic grid, without any apparent Euclidean pattern to describe the shape, but rising out of (near) isometric deformation of the underlying surface. In this paper, we employ multidimensional scaling to reduce the problem of intrinsic structure detection to a simpler problem of 2D grid detection. Potential 2D grids are then identified using an autocorrelation analysis, refined using local fitting, validated, and finally projected back to the spatial domain. We test the detection algorithm on a variety of scanned plaster models in presence of imperfections like missing data, noise and outliers. We also present a range of applications including scan completion, shape editing, super-resolution, and structural correspondence.},
  author       = {Mitra, Niloy J. and Bronstein, Alexander and Bronstein, Michael},
  booktitle    = {11th European Conference on Computer Vision},
  isbn         = {9783642155574},
  issn         = {0302-9743},
  location     = {Heraklion, Greece},
  pages        = {398–410},
  publisher    = {Springer Nature},
  title        = {{Intrinsic regularity detection in 3D geometry}},
  doi          = {10.1007/978-3-642-15558-1_29},
  volume       = {6313},
  year         = {2010},
}

@article{18358,
  abstract     = {In this paper, the problem of non-rigid shape recognition is studied from the perspective of metric geometry. In particular, we explore the applicability of diffusion distances within the Gromov-Hausdorff framework. While the traditionally used geodesic distance exploits the shortest path between points on the surface, the diffusion distance averages all paths connecting the points. The diffusion distance constitutes an intrinsic metric which is robust, in particular, to topological changes. Such changes in the form of shortcuts, holes, and missing data may be a result of natural non-rigid deformations as well as acquisition and representation noise due to inaccurate surface construction. The presentation of the proposed framework is complemented with examples demonstrating that in addition to the relatively low complexity involved in the computation of the diffusion distances between surface points, its recognition and matching performances favorably compare to the classical geodesic distances in the presence of topological changes between the non-rigid shapes.},
  author       = {Bronstein, Alexander and Bronstein, Michael M. and Kimmel, Ron and Mahmoudi, Mona and Sapiro, Guillermo},
  issn         = {1573-1405},
  journal      = {International Journal of Computer Vision},
  number       = {2-3},
  pages        = {266--286},
  publisher    = {Springer Nature},
  title        = {{A Gromov-Hausdorff framework with diffusion geometry for topologically-robust non-rigid shape matching}},
  doi          = {10.1007/s11263-009-0301-6},
  volume       = {89},
  year         = {2010},
}

@article{18359,
  abstract     = {Symmetry and self-similarity are the cornerstone of Nature, exhibiting themselves through the shapes of natural creations and ubiquitous laws of physics. Since many natural objects are symmetric, the absence of symmetry can often be an indication of some anomaly or abnormal behavior. Therefore, detection of asymmetries is important in numerous practical applications, including crystallography, medical imaging, and face recognition, to mention a few. Conversely, the assumption of underlying shape symmetry can facilitate solutions to many problems in shape reconstruction and analysis. Traditionally, symmetries are described as extrinsic geometric properties of the shape. While being adequate for rigid shapes, such a description is inappropriate for non-rigid ones: extrinsic symmetry can be broken as a result of shape deformations, while its intrinsic symmetry is preserved. In this paper, we present a generalization of symmetries for non-rigid shapes and a numerical framework for their analysis, addressing the problems of full and partial exact and approximate symmetry detection and classification.},
  author       = {Raviv, Dan and Bronstein, Alexander and Bronstein, Michael M. and Kimmel, Ron},
  issn         = {1573-1405},
  journal      = {International Journal of Computer Vision},
  pages        = {18--39},
  publisher    = {Springer Nature},
  title        = {{Full and partial symmetries of non-rigid shapes}},
  doi          = {10.1007/s11263-010-0320-3},
  volume       = {89},
  year         = {2010},
}

@article{18360,
  abstract     = {Many manifold learning procedures try to embed a given feature data into a flat space of low dimensionality while preserving as much as possible the metric in the natural feature space. The embedding process usually relies on distances between neighboring features, mainly since distances between features that are far apart from each other often provide an unreliable estimation of the true distance on the feature manifold due to its non-convexity. Distortions resulting from using long geodesics indiscriminately lead to a known limitation of the Isomap algorithm when used to map non-convex manifolds. Presented is a framework for nonlinear dimensionality reduction that uses both local and global distances in order to learn the intrinsic geometry of flat manifolds with boundaries. The resulting algorithm filters out potentially problematic distances between distant feature points based on the properties of the geodesics connecting those points and their relative distance to the boundary of the feature manifold, thus avoiding an inherent limitation of the Isomap algorithm. Since the proposed algorithm matches non-local structures, it is robust to strong noise. We show experimental results demonstrating the advantages of the proposed approach over conventional dimensionality reduction techniques, both global and local in nature.},
  author       = {Rosman, Guy and Bronstein, Michael M. and Bronstein, Alexander and Kimmel, Ron},
  issn         = {1573-1405},
  journal      = {International Journal of Computer Vision},
  pages        = {56--68},
  publisher    = {Springer Nature},
  title        = {{Nonlinear dimensionality reduction by topologically constrained isometric embedding}},
  doi          = {10.1007/s11263-010-0322-1},
  volume       = {89},
  year         = {2010},
}

@inproceedings{18376,
  abstract     = {Visual understanding is often based on measuring similarity between observations. Learning similarities specific to a certain perception task from a set of examples has been shown advantageous in various computer vision and pattern recognition problems. In many important applications, the data that one needs to compare come from different representations or modalities, and the similarity between such data operates on objects that may have different and often incommensurable structure and dimensionality. In this paper, we propose a framework for supervised similarity learning based on embedding the input data from two arbitrary spaces into the Hamming space. The mapping is expressed as a binary classification problem with positive and negative examples, and can be efficiently learned using boosting algorithms. The utility and efficiency of such a generic approach is demonstrated on several challenging applications including cross-representation shape retrieval and alignment of multi-modal medical images.},
  author       = {Bronstein, Michael M. and Bronstein, Alexander and Michel, Fabrice and Paragios, Nikos},
  booktitle    = {2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
  issn         = {1063-6919 },
  location     = {San Francisco, CA, USA},
  pages        = {3594 -- 3601},
  publisher    = {IEEE},
  title        = {{Data fusion through cross-modality metric learning using similarity-sensitive hashing}},
  doi          = {10.1109/cvpr.2010.5539928},
  year         = {2010},
}

@inproceedings{18432,
  abstract     = {Invariant shape descriptors are instrumental in numerous shape analysis tasks including deformable shape comparison, registration, classification, and retrieval. Most existing constructions model a 3D shape as a two-dimensional surface describing the shape boundary, typically represented as a triangular mesh or a point cloud. Using intrinsic properties of the surface, invariant descriptors can be designed. One such example is the recently introduced heat kernel signature, based on the Laplace-Beltrami operator of the surface. In many applications, however, a volumetric shape model is more natural and convenient. Moreover, modeling shape deformations as approximate isometries of the volume of an object, rather than its boundary, better captures natural behavior of non-rigid deformations in many cases. Here, we extend the idea of heat kernel signature to robust isometry-invariant volumetric descriptors, and show their utility in shape retrieval. The proposed approach achieves state-of-the-art results on the SHREC 2010 large-scale shape retrieval benchmark.},
  author       = {Raviv, Dan and Bronstein, Michael M. and Bronstein, Alexander and Kimmel, Ron},
  booktitle    = {Proceedings of the ACM workshop on 3D object retrieval},
  isbn         = {9781450301602},
  location     = {Firenze, Italy},
  pages        = {39 -- 44},
  publisher    = {ACM},
  title        = {{Volumetric heat kernel signatures}},
  doi          = {10.1145/1877808.1877817},
  year         = {2010},
}

@article{12653,
  abstract     = {Daily streamflow from stations close to five Swiss glaciers is analyzed for trends with the Mann-Kendall test. We consider a common period of record (1974–2004) and longer periods based on data availability. The trend statistical significance is tested on annual and seasonal bases. We also examine changes in precipitation, temperature, and snow cover characteristics. Highly glacierized basins show statistically significant positive trends in annual streamflow caused by increasing streamflow in spring and summer. Trends are more numerous and stronger at lower and mid than at the upper quantiles. The basin characterized by lower glacier coverage, conversely, does not exhibit consistently statistically significant trends. Changes in precipitation are not sufficient to explain the observed streamflow trends. Air temperature sees an increase in mean, minimum, and maximum values at all sites. Variations in the seasonal snow accumulation and ablation process are evident. Solid precipitation is decreasing at all sites and trends may be due to a shift from snowfall into rainfall. Mean snow depth is also decreasing, and its duration is getting shorter because of a decrease in solid precipitation and enhanced melting. Trend magnitude attenuates with longer time series. Contrasting trends are detected for different subperiods in the last 70 years: statistically significant negative trends are observed in the periods 1944–1974 and 1954–1984 for Aletschgletscher, in contrast with the results for the common period. These trends are explained by different rates of ice volume changes, and the sign of trends is clearly related to phases of positive or negative glacier mass balance.},
  author       = {Pellicciotti, Francesca and Bauder, A. and Parola, M.},
  issn         = {1944-7973},
  journal      = {Water Resources Research},
  keywords     = {Water Science and Technology},
  number       = {10},
  publisher    = {American Geophysical Union},
  title        = {{Effect of glaciers on streamflow trends in the Swiss Alps}},
  doi          = {10.1029/2009wr009039},
  volume       = {46},
  year         = {2010},
}

@article{1300,
  abstract     = {Motion vision is a major function of all visual systems, yet the underlying neural mechanisms and circuits are still elusive. In the lamina, the first optic neuropile of Drosophila melanogaster, photoreceptor signals split into five parallel pathways, L1-L5. Here we examine how these pathways contribute to visual motion detection by combining genetic block and reconstitution of neural activity in different lamina cell types with whole-cell recordings from downstream motion-sensitive neurons. We find reduced responses to moving gratings if L1 or L2 is blocked; however, reconstitution of photoreceptor input to only L1 or L2 results in wild-type responses. Thus, the first experiment indicates the necessity of both pathways, whereas the second indicates sufficiency of each single pathway. This contradiction can be explained by electrical coupling between L1 and L2, allowing for activation of both pathways even when only one of them receives photoreceptor input. A fundamental difference between the L1 pathway and the L2 pathway is uncovered when blocking L1 or L2 output while presenting moving edges of positive (ON) or negative (OFF) contrast polarity: blocking L1 eliminates the response to moving ON edges, whereas blocking L2 eliminates the response to moving OFF edges. Thus, similar to the segregation of photoreceptor signals in ON and OFF bipolar cell pathways in the vertebrate retina, photoreceptor signals segregate into ON-L1 and OFF-L2 channels in the lamina of Drosophila.},
  author       = {Maximilian Jösch and Schnell, Bettina and Raghu, Shamprasad V and Reiff, Dierk F and Borst, Alexander},
  journal      = {Nature},
  number       = {7321},
  pages        = {300 -- 304},
  publisher    = {Nature Publishing Group},
  title        = {{ON and off pathways in Drosophila motion vision}},
  doi          = {10.1038/nature09545},
  volume       = {468},
  year         = {2010},
}

@article{1301,
  abstract     = {Motion vision is essential for navigating through the environment. Due to its genetic amenability, the fruit fly Drosophila has been serving for a lengthy period as a model organism for studying optomotor behavior as elicited by large-field horizontal motion. However, the neurons underlying the control of this behavior have not been studied in Drosophila so far. Here we report the first whole cell recordings from three cells of the horizontal system (HSN, HSE, and HSS) in the lobula plate of Drosophila. All three HS cells are tuned to large-field horizontal motion in a direction-selective way; they become excited by front-to-back motion and inhibited by back-to-front motion in the ipsilateral field of view. The response properties of HS cells such as contrast and velocity dependence are in accordance with the correlation-type model of motion detection. Neurobiotin injection suggests extensive coupling among ipsilateral HS cells and additional coupling to tangential cells that have their dendrites in the contralateral hemisphere of the brain. This connectivity scheme accounts for the complex layout of their receptive fields and explains their sensitivity both to ipsilateral and to contralateral motion. Thus the main response properties of Drosophila HS cells are strikingly similar to the responses of their counterparts in the blowfly Calliphora, although we found substantial differences with respect to their dendritic structure and connectivity. This long-awaited functional characterization of HS cells in Drosophila provides the basis for the future dissection of optomotor behavior and the underlying neural circuitry by combining genetics, physiology, and behavior.},
  author       = {Schnell, Bettina and Jösch, Maximilian A and Förstner, Friedrich and Raghu, Shamprasad and Otsuna, Hideo and Ito, Kei and Borst, Alexander and Reiff, Dierk},
  issn         = {1522-1598},
  journal      = {Journal of Neurophysiology},
  number       = {3},
  pages        = {1646 -- 1657},
  publisher    = {American Physiological Society},
  title        = {{Processing of horizontal optic flow in three visual interneurons of the Drosophila brain}},
  doi          = {10.1152/jn.00950.2009},
  volume       = {103},
  year         = {2010},
}

@article{2071,
  abstract     = {The X or Z chromosome has several characteristics that distinguish it from the autosomes, namely hemizygosity in the heterogametic sex, and a potentially different effective population size, both of which may influence the rate and nature of evolution. In particular, there may be an accelerated rate of adaptive change for X-linked compared to autosomal coding sequences, often referred to as the Faster-X effect. Empirical studies have indicated that the strength of Faster-X evolution varies among different species, and theoretical treatments have shown that demography and mating system can substantially affect the degree of Faster-X evolution. Here we integrate genomic data on Faster-X evolution from a variety of animals with the demographic factors, mating system, and sex chromosome regulatory characteristics that may influence it. Our results suggest that differences in effective population size and mechanisms of dosage compensation may influence the perceived extent of Faster-X evolution, and help to explain several clade-specific patterns that we observe.},
  author       = {Mank, Judith E and Beatriz Vicoso and Berlin, Sofia and Charlesworth, Brian},
  journal      = {Evolution},
  number       = {3},
  pages        = {663 -- 674},
  publisher    = {Wiley-Blackwell},
  title        = {{Effective population size and the Faster-X effect: Empirical results and their interpretation}},
  doi          = {10.1111/j.1558-5646.2009.00853.x},
  volume       = {64},
  year         = {2010},
}

@phdthesis{2075,
  abstract     = {This thesis investigates the combination of data-driven and physically based techniques for acquiring, modeling, and animating deformable materials, with a special focus on human faces. Furthermore, based on these techniques, we introduce a data-driven process for designing and fabricating materials with desired deformation behavior. 
Realistic simulation behavior, surface details, and appearance are still demanding tasks. Neither pure data-driven, pure procedural, nor pure physical methods are best suited for accurate synthesis of facial motion and details (both for appearance and geometry), due to the difficulties in model design, parameter estimation, and desired controllability for animators. Capturing of a small but representative amount of real data, and then synthesizing diverse on-demand examples with physically-based models and real data as input benefits from both sides: Highly realistic model behavior due to real-world data and controllability due to physically-based models.
To model the face and its behavior, hybrid physically-based and data-driven approaches are elaborated. We investigate surface-based representations as well as a solid representation based on FEM. To achieve realistic behavior, we propose to build light-weighted data capture devices to acquire real-world data to estimate model parameters and to employ concepts from data-driven modeling techniques and machine learning. The resulting models support simple acquisition systems, offer techniques to process and extract model parameters from real-world data, provide a compact representation of the facial geometry and its motion, and allow intuitive editing. We demonstrate applications such as capture of facial geometry and motion and real-time animation and transfer of facial details, and show that our soft tissue model can react to external forces and produce realistic deformations beyond facial expressions.
Based on this model, we furthermore introduce a data-driven process for designing and fabricating materials with desired deformation behavior. The process starts with measuring deformation properties of base materials. Each material is represented as a non-linear stress-strain relationship in a finite-element model. For material design and fabrication, we introduce an optimization process that finds the best combination of base materials that meets a user’s criteria specified by example deformations. Our algorithm employs a number of strategies to prune poor solutions from the combinatorial search space. We finally demonstrate the complete process by designing and fabricating objects with complex heterogeneous materials using modern multi-material 3D printers.
},
  author       = {Bernd Bickel},
  booktitle    = {Unknown},
  number       = {7458},
  publisher    = {Unknown},
  title        = {{Measurement-based modeling and fabrication of deformable materials for human faces}},
  doi          = {dx.doi.org/10.3929/ethz-a-006354908},
  volume       = {499},
  year         = {2010},
}

@article{1970,
  abstract     = {Complex I is the first enzyme of the respiratory chain and has a central role in cellular energy production, coupling electron transfer between NADH and quinone to proton translocation by an unknown mechanism. Dysfunction of complex I has been implicated in many human neurodegenerative diseases. We have determined the structure of its hydrophilic domain previously. Here, we report the α-helical structure of the membrane domain of complex I from Escherichia coli at 3.9 Å resolution. The antiporter-like subunits NuoL/M/N each contain 14 conserved transmembrane (TM) helices. Two of them are discontinuous, as in some transporters. Unexpectedly, subunit NuoL also contains a 110-Å long amphipathic α-helix, spanning almost the entire length of the domain. Furthermore, we have determined the structure of the entire complex I from Thermus thermophilus at 4.5 Å resolution. The L-shaped assembly consists of the α-helical model for the membrane domain, with 63 TM helices, and the known structure of the hydrophilic domain. The architecture of the complex provides strong clues about the coupling mechanism: the conformational changes at the interface of the two main domains may drive the long amphipathic α-helix of NuoL in a piston-like motion, tilting nearby discontinuous TM helices, resulting in proton translocation.},
  author       = {Efremov, Rouslan G and Baradaran, Rozbeh  and Leonid Sazanov},
  journal      = {Nature},
  number       = {7297},
  pages        = {441 -- 445},
  publisher    = {Nature Publishing Group},
  title        = {{The architecture of respiratory complex I}},
  doi          = {10.1038/nature09066},
  volume       = {465},
  year         = {2010},
}

@inbook{14983,
  abstract     = {This chapter tackles a difficult challenge: presenting signal processing material to non-experts. This chapter is meant to be comprehensible to people who have some math background, including a course in linear algebra and basic statistics, but do not specialize in mathematics, engineering, or related fields. Some formulas assume the reader is familiar with matrices and basic matrix operations, but not more advanced material. Furthermore, we tried to make the chapter readable even if you skip the formulas. Nevertheless, we include some simple methods to demonstrate the basics of adaptive data processing, then we proceed with some advanced methods that are fundamental in adaptive signal processing, and are likely to be useful in a variety of applications. The advanced algorithms are also online available [30]. In the second part, these techniques are applied to some real-world BCI data.},
  author       = {Schlögl, Alois and Vidaurre, Carmen and Müller, Klaus-Robert},
  booktitle    = {Brain-Computer Interfaces},
  editor       = {Graimann, Bernhard and Pfurtscheller, Gert and Allison, Brendan},
  isbn         = {9783642020902},
  issn         = {1612-3018},
  pages        = {331--355},
  publisher    = {Springer},
  title        = {{Adaptive Methods in BCI Research - An Introductory Tutorial}},
  doi          = {10.1007/978-3-642-02091-9_18},
  year         = {2010},
}

@inproceedings{10908,
  abstract     = {We present ABC, a software tool for automatically computing symbolic upper bounds on the number of iterations of nested program loops. The system combines static analysis of programs with symbolic summation techniques to derive loop invariant relations between program variables. Iteration bounds are obtained from the inferred invariants, by replacing variables with bounds on their greatest values. We have successfully applied ABC to a large number of examples. The derived symbolic bounds express non-trivial polynomial relations over loop variables. We also report on results to automatically infer symbolic expressions over harmonic numbers as upper bounds on loop iteration counts.},
  author       = {Blanc, Régis and Henzinger, Thomas A and Hottelier, Thibaud and Kovács, Laura},
  booktitle    = {Logic for Programming, Artificial Intelligence, and Reasoning},
  editor       = {Clarke, Edmund M and Voronkov, Andrei},
  isbn         = {9783642175107},
  issn         = {1611-3349},
  location     = {Dakar, Senegal},
  pages        = {103--118},
  publisher    = {Springer Nature},
  title        = {{ABC: Algebraic Bound Computation for loops}},
  doi          = {10.1007/978-3-642-17511-4_7},
  volume       = {6355},
  year         = {2010},
}

@inproceedings{10909,
  abstract     = {We address the problem of localizing homology classes, namely, finding the cycle representing a given class with the most concise geometric measure. We focus on the volume measure, that is, the 1-norm of a cycle. Two main results are presented. First, we prove the problem is NP-hard to approximate within any constant factor. Second, we prove that for homology of dimension two or higher, the problem is NP-hard to approximate even when the Betti number is O(1). A side effect is the inapproximability of the problem of computing the nonbounding cycle with the smallest volume, and computing cycles representing a homology basis with the minimal total volume. We also discuss other geometric measures (diameter and radius) and show their disadvantages in homology localization. Our work is restricted to homology over the ℤ2 field.},
  author       = {Chen, Chao and Freedman, Daniel},
  booktitle    = {Proceedings of the 2010 Annual ACM-SIAM Symposium on Discrete Algorithms},
  location     = {Austin, TX, United States},
  pages        = {1594--1604},
  publisher    = {Society for Industrial and Applied Mathematics},
  title        = {{Hardness results for homology localization}},
  doi          = {10.1137/1.9781611973075.129},
  year         = {2010},
}

@article{11097,
  abstract     = {The nuclear envelope (NE) is a highly regulated membrane barrier that separates the nucleus from the cytoplasm in eukaryotic cells. It contains a large number of different proteins that have been implicated in chromatin organization and gene regulation. Although the nuclear membrane enables complex levels of gene expression, it also poses a challenge when it comes to cell division. To allow access of the mitotic spindle to chromatin, the nucleus of metazoans must completely disassemble during mitosis, generating the need to re-establish the nuclear compartment at the end of each cell division. Here, I summarize our current understanding of the dynamic remodeling of the NE during the cell cycle.},
  author       = {HETZER, Martin W},
  issn         = {1943-0264},
  journal      = {Cold Spring Harbor Perspectives in Biology},
  keywords     = {General Biochemistry, Genetics and Molecular Biology},
  number       = {3},
  pages        = {a000539--a000539},
  publisher    = {Cold Spring Harbor Laboratory},
  title        = {{The nuclear envelope}},
  doi          = {10.1101/cshperspect.a000539},
  volume       = {2},
  year         = {2010},
}

@article{11098,
  author       = {HETZER, Martin W},
  issn         = {1945-4589},
  journal      = {Aging},
  keywords     = {Cell Biology, Aging},
  number       = {2},
  pages        = {74--75},
  publisher    = {Impact Journals},
  title        = {{The role of the nuclear pore complex in aging of post-mitotic cells}},
  doi          = {10.18632/aging.100125},
  volume       = {2},
  year         = {2010},
}

@article{11099,
  abstract     = {Nuclear pore complexes (NPCs) serve as transport channels across the nuclear membrane, a double lipid bilayer that physically separates the nucleoplasm and cytoplasm of eukaryotic cells. New evidence suggests that the multiprotein nuclear pores also play a role in chromatin organization and gene expression. Given the importance of NPC function, it is not surprising that a growing list of human diseases and developmental defects have been linked to its malfunction. In order to fully understand the functional repertoire of NPCs and their essential role for nuclear organization, it is critical to determine the sequence of events that lead to the formation of nuclear pores. This is particularly relevant since NPC number, and possibly composition, are tightly linked to metabolic activity. Most of our knowledge is derived from NPC formation that occurs in dividing cells at the end of mitosis when the nuclear envelope (NE) and NPCs reform from disassembled precursors. However, NPC assembly also takes place during interphase into an intact NE. Importantly, this process is not restricted to dividing cells but also occurs during cell differentiation. Here, we will review aspects unique to this process, namely the regulation of nuclear expansion and the mechanisms of fusion between the outer and inner nuclear membranes. We will then discuss conserved and diverging mechanisms between post-mitotic and interphase assembly of the proteinaceous structure in light of recently published data.},
  author       = {Doucet, Christine M. and HETZER, Martin W},
  issn         = {1432-0886},
  journal      = {Chromosoma},
  keywords     = {Genetics (clinical), Genetics},
  pages        = {469--477},
  publisher    = {Springer Nature},
  title        = {{Nuclear pore biogenesis into an intact nuclear envelope}},
  doi          = {10.1007/s00412-010-0289-2},
  volume       = {119},
  year         = {2010},
}

@article{11101,
  abstract     = {In metazoa, nuclear pore complexes (NPCs) assemble from disassembled precursors into a reforming nuclear envelope (NE) at the end of mitosis and into growing intact NEs during interphase. Here, we show via RNAi-mediated knockdown that ELYS, a nucleoporin critical for the recruitment of the essential Nup107/160 complex to chromatin, is required for NPC assembly at the end of mitosis but not during interphase. Conversely, the transmembrane nucleoporin POM121 is critical for the incorporation of the Nup107/160 complex into new assembly sites specifically during interphase. Strikingly, recruitment of the Nup107/160 complex to an intact NE involves a membrane curvature-sensing domain of its constituent Nup133, which is not required for postmitotic NPC formation. Our results suggest that in organisms with open mitosis, NPCs assemble via two distinct mechanisms to accommodate cell cycle-dependent differences in NE topology.},
  author       = {Doucet, Christine M. and Talamas, Jessica A. and HETZER, Martin W},
  issn         = {0092-8674},
  journal      = {Cell},
  keywords     = {General Biochemistry, Genetics and Molecular Biology},
  number       = {6},
  pages        = {1030--1041},
  publisher    = {Elsevier},
  title        = {{Cell cycle-dependent differences in nuclear pore complex assembly in metazoa}},
  doi          = {10.1016/j.cell.2010.04.036},
  volume       = {141},
  year         = {2010},
}

@article{11102,
  abstract     = {Nuclear pore complexes have recently been shown to play roles in gene activation; however their potential involvement in metazoan transcription remains unclear. Here we show that the nucleoporins Sec13, Nup98, and Nup88, as well as a group of FG-repeat nucleoporins, bind to the Drosophila genome at functionally distinct loci that often do not represent nuclear envelope contact sites. Whereas Nup88 localizes to silent loci, Sec13, Nup98, and a subset of FG-repeat nucleoporins bind to developmentally regulated genes undergoing transcription induction. Strikingly, RNAi-mediated knockdown of intranuclear Sec13 and Nup98 specifically inhibits transcription of their target genes and prevents efficient reactivation of transcription after heat shock, suggesting an essential role of NPC components in regulating complex gene expression programs of multicellular organisms.},
  author       = {Capelson, Maya and Liang, Yun and Schulte, Roberta and Mair, William and Wagner, Ulrich and HETZER, Martin W},
  issn         = {0092-8674},
  journal      = {Cell},
  keywords     = {General Biochemistry, Genetics and Molecular Biology},
  number       = {3},
  pages        = {372--383},
  publisher    = {Elsevier},
  title        = {{Chromatin-bound nuclear pore components regulate gene expression in higher eukaryotes}},
  doi          = {10.1016/j.cell.2009.12.054},
  volume       = {140},
  year         = {2010},
}

