PhyloMap: an algorithm for visualizing relationships of large sequence data sets and its application to the influenza A virus genome

<p>Abstract</p> <p>Background</p> <p>Results of phylogenetic analysis are often visualized as phylogenetic trees. Such a tree can typically only include up to a few hundred sequences. When more than a few thousand sequences are to be included, analyzing the phylogenetic relationships among them becomes a challenging task. The recent frequent outbreaks of influenza A viruses have resulted in the rapid accumulation of corresponding genome sequences. Currently, there are more than 7500 influenza A virus genomes in the database. There are no efficient ways of representing this huge data set as a whole, thus preventing a further understanding of the diversity of the influenza A virus genome.</p> <p>Results</p> <p>Here we present a new algorithm, "PhyloMap", which combines ordination, vector quantization, and phylogenetic tree construction to give an elegant representation of a large sequence data set. The use of PhyloMap on influenza A virus genome sequences reveals the phylogenetic relationships of the internal genes that cannot be seen when only a subset of sequences are analyzed.</p> <p>Conclusions</p> <p>The application of PhyloMap to influenza A virus genome data shows that it is a robust algorithm for analyzing large sequence data sets. It utilizes the entire data set, minimizes bias, and provides intuitive visualization. PhyloMap is implemented in JAVA, and the source code is freely available at <url>http://www.biochem.uni-luebeck.de/public/software/phylomap.html</url></p

Influenza virus assembly

Influenza A Viren besitzen ein segmentiertes, einzelsträngiges RNA-Genom, welches in Form viraler Ribonukleoprotein (vRNP)-Komplexe verpackt ist. Während das virale Genom im Zellkern repliziert wird, finden Assemblierung und Knospung reifer Viruspartikel an der apikalen Plasmamembran statt. Für die Virusbildung müssen die einzelnen viralen Komponenten hierher gebracht werden. Während intrinsische apikale Signale der viralen Transmembranproteine bekannt sind, sind der zielgerichtete Transport und der Einbau des viralen Genoms in neuentstehende Virionen noch wenig verstanden. In dieser Arbeit wurden potentielle Mechanismen des vRNP-Transportes untersucht, wie die Fähigkeit der vRNPs mit Lipidmembranen zu assoziieren und die intrinsische subzellulären Lokalisation des viralen Nukleoproteins (NP), eines Hauptbestandteils der vRNPs. Es konnte gezeigt werden, dass vRNPs nicht mit Lipidmembranen assoziieren, was mittels Flotation aufgereinigter vRNPs mit Liposomen unterschiedlicher Zusammensetzung untersucht wurde. Die Ergebnisse deuten jedoch darauf hin, dass das virale M1 in der Lage ist, Bindung von vRNPs an negativ-geladene Lipidmembranen zu vermitteln. Subzelluläre Lokalisation von NP wurde des Weiteren durch Expression fluoreszierender NP-Fusionsproteine und Fluoreszenzphotoaktivierung untersucht. Es konnte gezeigt werden, dass NP allein nicht mit zytoplasmatischen Strukturen assoziiert, stattdessen aber umfangreiche Interaktionen im Zellkern eingeht und mit hoher Affinität mit bestimmten Kerndomänen assoziiert, und zwar den Nukleoli sowie kleinen Kerndomänen, welche häufig in der Nähe von Cajal-Körperchen und PML-Körperchen zu finden waren. Schließlich wurde ein experimenteller Ansatz etabliert, welcher erlaubt, den Transport vRNP-ähnlicher Komplexe mittels Fluoreszenzdetektion aufzuzeichnen und Einzelpartikelverfolgungsanalysen durchzuführen. Unterschiedliche Phasen des vRNP-Transportes konnten beobachtet werden und ein 3-Phasen-Transportmodell wird skizziert.Influenza A viruses have a segmented single-stranded RNA genome, which is packed in form of viral ribonucleoprotein (vRNP) complexes. While the viral genome is replicated and transcribed in the host cell nucleus, assembly and budding of mature virus particles take place at the apical plasma membrane. Efficient virus formation requires delivery of all viral components to this site. While intrinsic apical targeting signals of the viral transmembrane proteins have been identified, it still remains poorly understood how the viral genome is transported and targeted into progeny virus particles. In this study, potential targeting mechanisms were investigated like the ability of vRNPs to associate with lipid membranes and the intrinsic ability of the viral nucleoprotein (NP) – which is the major protein component of vRNPs – for subcellular targeting. It could be shown that vRNPs are not able to associate with model membranes in vitro, which was demonstrated by flotation of purified vRNPs with liposomes of different lipid compositions. Results indicated, however, that the matrix protein M1 can mediate binding of vRNPs to negatively charged lipid bilayers. Intrinsic subcellular targeting of NP was further investigated by expression of fluorescent NP fusion protein and fluorescence photoactivation, revealing that NP by itself does not target cytoplasmic structures. It was found to interact extensively with the nuclear compartment instead and to target specific nuclear domains with high affinity, in particular nucleoli and small interchromatin domains that frequently localized in close proximity to Cajal bodies and PML bodies. An experimental approach was finally established that allowed monitoring the transport of vRNP-like complexes in living infected cells by fluorescence detection. It was possible to perform single particle tracking and to describe different stages of vRNP transport between the nucleus and the plasma membrane. A model of three-stage transport is suggested

Tools for decoding the structure-function relationships of biopolymers in nanotechnology and glycobiology

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Biological Engineering, 2010.Cataloged from PDF version of thesis.Includes bibliographical references (p. 232-252).In this thesis, new tools have been developed for decoding structure-function relationships governing complex biopolymers that have emerged as key players in biology, biotechnology, and medicine. Specifically: (1.) The first part of this thesis addresses the structure-function relationship of synthetic biodegradable plastics that are at the forefront of nanotechnology for spatiotemporally-regulated targeting and sustained release of drugs to treat Cancer and other chronic diseases. A Voxel-based 3-D platform for accurately simulating all phases of polymeric nanoparticle erosion and drug release is introduced. Using the developed Voxel platform, the release of anti-inflammatory and anti-cancer drugs such as doxorubicin and dexamethasone from poly lactic-co-glycolic acid (PLGA) nanoparticles is precisely predicted. The Voxel platform emerges as a powerful and versatile tool for deducing the dynamics in interplay of polymer, drug, and water molecules, thus permitting the rational design of optimal nanotechnology treatments for cancer. (2.) The second part of this thesis is focused on development of tools to elucidate structure-function relationships of complex polysaccharides (glycans) that specifically interact with proteins to modulate a host of biological processes including growth, development, angiogenesis, cancer, anticoagulation, microbial pathogenesis, and viral infections. First, towards the fine structure determination of complex linear glycans (glycosaminoglycans or GAGs), enzymatic tools are developed for both depolymerizing GAGs at specific linkages and for effectively modulating their functional groups. Specifically, the development and integrated biochemical-structural characterization of the Chondroitinase ABC-II enzyme that depolymerizes dermatan sulfate and chondroitin sulfate GAGs (CSGAGs), and the 6-0- Sulfatase and N-Sulfamidase enzymes that de-sulfate functional groups on heparin and heparan sulfate GAGs (HSGAGs) are described. Second, the interaction of branched glycans with proteins is analyzed using the interplay of Influenza virus surface proteins (mainly Hemagglutinin and Neuraminidase) with host cell surface sialylated glycan receptors as a model system. For this purpose, the novel triple reassortant "Swine Flu" pandemic virus (or 2009 HINI virus) is studied. Finally, in order to overcome the challenges facing protein structure prediction in the "Twilight Zone" of low homology that is rampant in glycan-binding protein (lectin) families, a new tool is introduced for modeling the 3-D structure of proteins directly from sequence. Specifically, it is identified that protein core atomic interaction networks (PCAINs) are evolutionarily non-tinkered and fold-conserved, and this finding is utilized towards assignment of folds, structures, and potential glycan substrates to lectin sequences. It is further demonstrated that the developed tool is effective universally; thus emerging as a promising platform for generic protein sequence-to-structure and function mapping in a broad spectrum of biological applications.by Venkataramanan Soundararajan.Ph.D