8 results on '"Marino Zerial"'
Search Results
2. Quantification of nematic cell polarity in three-dimensional tissues.
- Author
-
André Scholich, Simon Syga, Hernán Morales-Navarrete, Fabián Segovia-Miranda, Hidenori Nonaka, Kirstin Meyer, Walter de Back, Lutz Brusch, Yannis Kalaidzidis, Marino Zerial, Frank Jülicher, and Benjamin M Friedrich
- Subjects
Biology (General) ,QH301-705.5 - Abstract
How epithelial cells coordinate their polarity to form functional tissues is an open question in cell biology. Here, we characterize a unique type of polarity found in liver tissue, nematic cell polarity, which is different from vectorial cell polarity in simple, sheet-like epithelia. We propose a conceptual and algorithmic framework to characterize complex patterns of polarity proteins on the surface of a cell in terms of a multipole expansion. To rigorously quantify previously observed tissue-level patterns of nematic cell polarity (Morales-Navarrete et al., eLife 2019), we introduce the concept of co-orientational order parameters, which generalize the known biaxial order parameters of the theory of liquid crystals. Applying these concepts to three-dimensional reconstructions of single cells from high-resolution imaging data of mouse liver tissue, we show that the axes of nematic cell polarity of hepatocytes exhibit local coordination and are aligned with the biaxially anisotropic sinusoidal network for blood transport. Our study characterizes liver tissue as a biological example of a biaxial liquid crystal. The general methodology developed here could be applied to other tissues and in-vitro organoids.
- Published
- 2020
- Full Text
- View/download PDF
3. Resilience of three-dimensional sinusoidal networks in liver tissue.
- Author
-
Jens Karschau, André Scholich, Jonathan Wise, Hernán Morales-Navarrete, Yannis Kalaidzidis, Marino Zerial, and Benjamin M Friedrich
- Subjects
Biology (General) ,QH301-705.5 - Abstract
Can three-dimensional, microvasculature networks still ensure blood supply if individual links fail? We address this question in the sinusoidal network, a plexus-like microvasculature network, which transports nutrient-rich blood to every hepatocyte in liver tissue, by building on recent advances in high-resolution imaging and digital reconstruction of adult mice liver tissue. We find that the topology of the three-dimensional sinusoidal network reflects its two design requirements of a space-filling network that connects all hepatocytes, while using shortest transport routes: sinusoidal networks are sub-graphs of the Delaunay graph of their set of branching points, and also contain the corresponding minimum spanning tree, both to good approximation. To overcome the spatial limitations of experimental samples and generate arbitrarily-sized networks, we developed a network generation algorithm that reproduces the statistical features of 0.3-mm-sized samples of sinusoidal networks, using multi-objective optimization for node degree and edge length distribution. Nematic order in these simulated networks implies anisotropic transport properties, characterized by an empirical linear relation between a nematic order parameter and the anisotropy of the permeability tensor. Under the assumption that all sinusoid tubes have a constant and equal flow resistance, we predict that the distribution of currents in the network is very inhomogeneous, with a small number of edges carrying a substantial part of the flow-a feature known for hierarchical networks, but unexpected for plexus-like networks. We quantify network resilience in terms of a permeability-at-risk, i.e., permeability as function of the fraction of removed edges. We find that sinusoidal networks are resilient to random removal of edges, but vulnerable to the removal of high-current edges. Our findings suggest the existence of a mechanism counteracting flow inhomogeneity to balance metabolic load on the liver.
- Published
- 2020
- Full Text
- View/download PDF
4. Revealing molecular mechanisms by integrating high-dimensional functional screens with protein interaction data.
- Author
-
Angela Simeone, Giovanni Marsico, Claudio Collinet, Thierry Galvez, Yannis Kalaidzidis, Marino Zerial, and Andreas Beyer
- Subjects
Biology (General) ,QH301-705.5 - Abstract
Functional genomics screens using multi-parametric assays are powerful approaches for identifying genes involved in particular cellular processes. However, they suffer from problems like noise, and often provide little insight into molecular mechanisms. A bottleneck for addressing these issues is the lack of computational methods for the systematic integration of multi-parametric phenotypic datasets with molecular interactions. Here, we present Integrative Multi Profile Analysis of Cellular Traits (IMPACT). The main goal of IMPACT is to identify the most consistent phenotypic profile among interacting genes. This approach utilizes two types of external information: sets of related genes (IMPACT-sets) and network information (IMPACT-modules). Based on the notion that interacting genes are more likely to be involved in similar functions than non-interacting genes, this data is used as a prior to inform the filtering of phenotypic profiles that are similar among interacting genes. IMPACT-sets selects the most frequent profile among a set of related genes. IMPACT-modules identifies sub-networks containing genes with similar phenotype profiles. The statistical significance of these selections is subsequently quantified via permutations of the data. IMPACT (1) handles multiple profiles per gene, (2) rescues genes with weak phenotypes and (3) accounts for multiple biases e.g. caused by the network topology. Application to a genome-wide RNAi screen on endocytosis showed that IMPACT improved the recovery of known endocytosis-related genes, decreased off-target effects, and detected consistent phenotypes. Those findings were confirmed by rescreening 468 genes. Additionally we validated an unexpected influence of the IGF-receptor on EGF-endocytosis. IMPACT facilitates the selection of high-quality phenotypic profiles using different types of independent information, thereby supporting the molecular interpretation of functional screens.
- Published
- 2014
- Full Text
- View/download PDF
5. The interaction properties of the human Rab GTPase family--comparative analysis reveals determinants of molecular binding selectivity.
- Author
-
Matthias Stein, Manohar Pilli, Sabine Bernauer, Bianca H Habermann, Marino Zerial, and Rebecca C Wade
- Subjects
Medicine ,Science - Abstract
Rab GTPases constitute the largest subfamily of the Ras protein superfamily. Rab proteins regulate organelle biogenesis and transport, and display distinct binding preferences for effector and activator proteins, many of which have not been elucidated yet. The underlying molecular recognition motifs, binding partner preferences and selectivities are not well understood.Comparative analysis of the amino acid sequences and the three-dimensional electrostatic and hydrophobic molecular interaction fields of 62 human Rab proteins revealed a wide range of binding properties with large differences between some Rab proteins. This analysis assists the functional annotation of Rab proteins 12, 14, 26, 37 and 41 and provided an explanation for the shared function of Rab3 and 27. Rab7a and 7b have very different electrostatic potentials, indicating that they may bind to different effector proteins and thus, exert different functions. The subfamily V Rab GTPases which are associated with endosome differ subtly in the interaction properties of their switch regions, and this may explain exchange factor specificity and exchange kinetics.We have analysed conservation of sequence and of molecular interaction fields to cluster and annotate the human Rab proteins. The analysis of three dimensional molecular interaction fields provides detailed insight that is not available from a sequence-based approach alone. Based on our results, we predict novel functions for some Rab proteins and provide insights into their divergent functions and the determinants of their binding partner selectivity.
- Published
- 2012
- Full Text
- View/download PDF
6. The Rab5 effector Rabankyrin-5 regulates and coordinates different endocytic mechanisms.
- Author
-
Carsten Schnatwinkel, Savvas Christoforidis, Margaret R Lindsay, Sandrine Uttenweiler-Joseph, Matthias Wilm, Robert G Parton, and Marino Zerial
- Subjects
Biology (General) ,QH301-705.5 - Abstract
The small GTPase Rab5 is a key regulator of clathrin-mediated endocytosis. On early endosomes, within a spatially restricted domain enriched in phosphatydilinositol-3-phosphate [PI(3)P], Rab5 coordinates a complex network of effectors that functionally cooperate in membrane tethering, fusion, and organelle motility. Here we discovered a novel PI(3)P-binding Rab5 effector, Rabankyrin-5, which localises to early endosomes and stimulates their fusion activity. In addition to early endosomes, however, Rabankyrin-5 localises to large vacuolar structures that correspond to macropinosomes in epithelial cells and fibroblasts. Overexpression of Rabankyrin-5 increases the number of macropinosomes and stimulates fluid-phase uptake, whereas its downregulation inhibits these processes. In polarised epithelial cells, this function is primarily restricted to the apical membrane. Rabankyrin-5 localises to large pinocytic structures underneath the apical surface of kidney proximal tubule cells, and its overexpression in polarised Madin-Darby canine kidney cells stimulates apical but not basolateral, non-clathrin-mediated pinocytosis. In demonstrating a regulatory role in endosome fusion and (macro)pinocytosis, our studies suggest that Rab5 regulates and coordinates different endocytic mechanisms through its effector Rabankyrin-5. Furthermore, its active role in apical pinocytosis in epithelial cells suggests an important function of Rabankyrin-5 in the physiology of polarised cells.
- Published
- 2004
- Full Text
- View/download PDF
7. Correction: Quantification of nematic cell polarity in three-dimensional tissues
- Author
-
Fabián Segovia-Miranda, Hernán Morales-Navarrete, Frank Jülicher, Marino Zerial, Yannis Kalaidzidis, Benjamin M. Friedrich, Walter de Back, Kirstin Meyer, André Scholich, Simon Syga, Lutz Brusch, and Hidenori Nonaka
- Subjects
Cellular and Molecular Neuroscience ,Materials science ,Computational Theory and Mathematics ,Ecology ,Liquid crystal ,QH301-705.5 ,Modeling and Simulation ,Cell polarity ,Genetics ,Biophysics ,Biology (General) ,Molecular Biology ,Ecology, Evolution, Behavior and Systematics - Abstract
[This corrects the article DOI: 10.1371/journal.pcbi.1008412.].
- Published
- 2021
8. Quantification of nematic cell polarity in three-dimensional tissues
- Author
-
Fabián Segovia-Miranda, Simon Syga, Yannis Kalaidzidis, Hernán Morales-Navarrete, Walter de Back, Marino Zerial, Hidenori Nonaka, Kirstin Meyer, Lutz Brusch, Benjamin M. Friedrich, Frank Jülicher, and André Scholich
- Subjects
0301 basic medicine ,Surface (mathematics) ,Physiology ,Cell Membranes ,Mice ,0302 clinical medicine ,Mathematical and Statistical Techniques ,Liquid crystal ,Animal Cells ,Liver tissue ,Cell polarity ,Medicine and Health Sciences ,Bile ,Biology (General) ,Anisotropy ,Tissues and Organs (q-bio.TO) ,Materials ,Ecology ,Physics ,Cell Polarity ,Condensed Matter Physics ,Living matter ,Body Fluids ,Liquid Crystals ,Order (biology) ,Computational Theory and Mathematics ,Liver ,Biological Physics (physics.bio-ph) ,Modeling and Simulation ,Physical Sciences ,Cellular Types ,Anatomy ,Cellular Structures and Organelles ,Research Article ,Cell Physiology ,Polarity (physics) ,QH301-705.5 ,Materials Science ,Material Properties ,FOS: Physical sciences ,Condensed Matter - Soft Condensed Matter ,Research and Analysis Methods ,Crystals ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,Sine Waves ,Genetics ,Animals ,Physics - Biological Physics ,Molecular Biology ,Cell Shape ,Ecology, Evolution, Behavior and Systematics ,Correction ,Biology and Life Sciences ,Kidneys ,Quantitative Biology - Tissues and Organs ,Cell Biology ,Renal System ,Models, Theoretical ,030104 developmental biology ,FOS: Biological sciences ,Biophysics ,Hepatocytes ,Soft Condensed Matter (cond-mat.soft) ,Multipole expansion ,Mathematical Functions ,030217 neurology & neurosurgery - Abstract
How epithelial cells coordinate their polarity to form functional tissues is an open question in cell biology. Here, we characterize a unique type of polarity found in liver tissue, nematic cell polarity, which is different from vectorial cell polarity in simple, sheet-like epithelia. We propose a conceptual and algorithmic framework to characterize complex patterns of polarity proteins on the surface of a cell in terms of a multipole expansion. To rigorously quantify previously observed tissue-level patterns of nematic cell polarity (Morales-Navarrete et al., eLife 2019), we introduce the concept of co-orientational order parameters, which generalize the known biaxial order parameters of the theory of liquid crystals. Applying these concepts to three-dimensional reconstructions of single cells from high-resolution imaging data of mouse liver tissue, we show that the axes of nematic cell polarity of hepatocytes exhibit local coordination and are aligned with the biaxially anisotropic sinusoidal network for blood transport. Our study characterizes liver tissue as a biological example of a biaxial liquid crystal. The general methodology developed here could be applied to other tissues and in-vitro organoids., Author summary Cell polarity enables cells to carry out specific functions. Cell polarity is characterized by the formation of different plasma membrane domains, each with specific composition of proteins, phospholipids and cytoskeletal components. In simple epithelial sheets, or tube-like tissues such as kidney, epithelial cells are known to display a single apical domain, facing a lumenal cavity, and a single basal domain on the opposite side of the cell, facing a basal layer of extracellular matrix. This apico-basal polarity defines a vector of cell polarity, which provides a direction of fluid transport, e.g., from the basal side of the sheet to the lumen-facing side. In more complex, three-dimensional epithelial tissues, such as liver tissue with its complex network of blood-transporting sinusoids, the membrane domains of hepatocyte cells display more intricate patterns, including rings and antipodal pairs of apical membrane. Here, we develop a mathematical framework to precisely characterize and quantify complex polarity patterns. Thereby, we reveal ordered patterns of cell polarity that span across a liver lobule. Our new method builds on physical concepts originally developed for ordered phases of liquid crystals. It provides a versatile tool to characterize the spatial organization of a complex three-dimensional tissue.
- Published
- 2020
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.