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  • 1
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    Perspectives: signal transduction. Cell survival demands some Rsk (1999)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 1999-12-28
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Nebreda, A R -- Gavin, A C -- New York, N.Y. -- Science. 1999 Nov 12;286(5443):1309-10.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉European Molecular Biology Laboratory, Heidelberg, Germany. nebreda@embl-heidelberg.de〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/10610536" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Binding Sites ; *Cell Cycle ; *Cell Survival ; Cerebellum/cytology ; Enzyme Activation ; Humans ; *MAP Kinase Signaling System ; Meiosis ; Metaphase ; Mitogen-Activated Protein Kinases/metabolism ; Neurons/cytology ; Phosphorylation ; Ribosomal Protein S6 Kinases/chemistry/*metabolism ; Signal Transduction ; Transcriptional Activation
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 2
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    Drug target identification using side-effect similarity (2008)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2008-07-16
    Description: Targets for drugs have so far been predicted on the basis of molecular or cellular features, for example, by exploiting similarity in chemical structure or in activity across cell lines. We used phenotypic side-effect similarities to infer whether two drugs share a target. Applied to 746 marketed drugs, a network of 1018 side effect-driven drug-drug relations became apparent, 261 of which are formed by chemically dissimilar drugs from different therapeutic indications. We experimentally tested 20 of these unexpected drug-drug relations and validated 13 implied drug-target relations by in vitro binding assays, of which 11 reveal inhibition constants equal to less than 10 micromolar. Nine of these were tested and confirmed in cell assays, documenting the feasibility of using phenotypic information to infer molecular interactions and hinting at new uses of marketed drugs.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Campillos, Monica -- Kuhn, Michael -- Gavin, Anne-Claude -- Jensen, Lars Juhl -- Bork, Peer -- New York, N.Y. -- Science. 2008 Jul 11;321(5886):263-6. doi: 10.1126/science.1158140.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉European Molecular Biology Laboratory (EMBL), Meyerhofstrasse 1, 69117 Heidelberg, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18621671" target="_blank"〉PubMed〈/a〉
    Keywords: Adverse Drug Reaction Reporting Systems ; Algorithms ; Chemistry, Pharmaceutical ; Databases, Factual ; *Drug Evaluation, Preclinical ; Drug Labeling ; Drug Therapy ; *Drug-Related Side Effects and Adverse Reactions ; Humans ; Pharmaceutical Preparations/chemistry/*metabolism ; Probability ; Proteins/*metabolism
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 3
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    Proteome organization in a genome-reduced bacterium (2009)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2009-12-08
    Description: The genome of Mycoplasma pneumoniae is among the smallest found in self-replicating organisms. To study the basic principles of bacterial proteome organization, we used tandem affinity purification-mass spectrometry (TAP-MS) in a proteome-wide screen. The analysis revealed 62 homomultimeric and 116 heteromultimeric soluble protein complexes, of which the majority are novel. About a third of the heteromultimeric complexes show higher levels of proteome organization, including assembly into larger, multiprotein complex entities, suggesting sequential steps in biological processes, and extensive sharing of components, implying protein multifunctionality. Incorporation of structural models for 484 proteins, single-particle electron microscopy, and cellular electron tomograms provided supporting structural details for this proteome organization. The data set provides a blueprint of the minimal cellular machinery required for life.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kuhner, Sebastian -- van Noort, Vera -- Betts, Matthew J -- Leo-Macias, Alejandra -- Batisse, Claire -- Rode, Michaela -- Yamada, Takuji -- Maier, Tobias -- Bader, Samuel -- Beltran-Alvarez, Pedro -- Castano-Diez, Daniel -- Chen, Wei-Hua -- Devos, Damien -- Guell, Marc -- Norambuena, Tomas -- Racke, Ines -- Rybin, Vladimir -- Schmidt, Alexander -- Yus, Eva -- Aebersold, Ruedi -- Herrmann, Richard -- Bottcher, Bettina -- Frangakis, Achilleas S -- Russell, Robert B -- Serrano, Luis -- Bork, Peer -- Gavin, Anne-Claude -- New York, N.Y. -- Science. 2009 Nov 27;326(5957):1235-40. doi: 10.1126/science.1176343.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉European Molecular Biology Laboratory, Meyerhofstrasse 1, D-69117 Heidelberg, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19965468" target="_blank"〉PubMed〈/a〉
    Keywords: Bacterial Proteins/*analysis/isolation & purification/metabolism ; Computational Biology ; *Genome, Bacterial ; Mass Spectrometry/methods ; Metabolic Networks and Pathways ; Microscopy, Electron ; Models, Biological ; Models, Molecular ; Multiprotein Complexes/*analysis/metabolism ; Mycoplasma pneumoniae/*chemistry/*genetics/metabolism/ultrastructure ; Pattern Recognition, Automated ; Protein Interaction Mapping ; *Proteome ; Systems Biology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 4
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    Impact of genome reduction on bacterial metabolism and its regulation (2009)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2009-12-08
    Description: To understand basic principles of bacterial metabolism organization and regulation, but also the impact of genome size, we systematically studied one of the smallest bacteria, Mycoplasma pneumoniae. A manually curated metabolic network of 189 reactions catalyzed by 129 enzymes allowed the design of a defined, minimal medium with 19 essential nutrients. More than 1300 growth curves were recorded in the presence of various nutrient concentrations. Measurements of biomass indicators, metabolites, and 13C-glucose experiments provided information on directionality, fluxes, and energetics; integration with transcription profiling enabled the global analysis of metabolic regulation. Compared with more complex bacteria, the M. pneumoniae metabolic network has a more linear topology and contains a higher fraction of multifunctional enzymes; general features such as metabolite concentrations, cellular energetics, adaptability, and global gene expression responses are similar, however.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Yus, Eva -- Maier, Tobias -- Michalodimitrakis, Konstantinos -- van Noort, Vera -- Yamada, Takuji -- Chen, Wei-Hua -- Wodke, Judith A H -- Guell, Marc -- Martinez, Sira -- Bourgeois, Ronan -- Kuhner, Sebastian -- Raineri, Emanuele -- Letunic, Ivica -- Kalinina, Olga V -- Rode, Michaela -- Herrmann, Richard -- Gutierrez-Gallego, Ricardo -- Russell, Robert B -- Gavin, Anne-Claude -- Bork, Peer -- Serrano, Luis -- New York, N.Y. -- Science. 2009 Nov 27;326(5957):1263-8. doi: 10.1126/science.1177263.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Centre for Genomic Regulation (CRG) and Universitat Pompeu Fabra, Avenida Dr. Aiguader 88, 08003 Barcelona, Spain.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19965476" target="_blank"〉PubMed〈/a〉
    Keywords: Adenosine Triphosphate/metabolism ; Bacterial Proteins/*metabolism ; Culture Media ; Energy Metabolism ; Enzymes/genetics/metabolism ; Gene Expression Profiling ; *Gene Expression Regulation, Bacterial ; *Genome, Bacterial ; Glycolysis ; *Metabolic Networks and Pathways ; Mycoplasma pneumoniae/*genetics/growth & development/*metabolism ; RNA, Bacterial/genetics/metabolism ; Signal Transduction ; Systems Biology ; Transcription, Genetic ; rRNA Operon
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 5
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    Transcriptome complexity in a genome-reduced bacterium (2009)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2009-12-08
    Description: To study basic principles of transcriptome organization in bacteria, we analyzed one of the smallest self-replicating organisms, Mycoplasma pneumoniae. We combined strand-specific tiling arrays, complemented by transcriptome sequencing, with more than 252 spotted arrays. We detected 117 previously undescribed, mostly noncoding transcripts, 89 of them in antisense configuration to known genes. We identified 341 operons, of which 139 are polycistronic; almost half of the latter show decaying expression in a staircase-like manner. Under various conditions, operons could be divided into 447 smaller transcriptional units, resulting in many alternative transcripts. Frequent antisense transcripts, alternative transcripts, and multiple regulators per gene imply a highly dynamic transcriptome, more similar to that of eukaryotes than previously thought.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Guell, Marc -- van Noort, Vera -- Yus, Eva -- Chen, Wei-Hua -- Leigh-Bell, Justine -- Michalodimitrakis, Konstantinos -- Yamada, Takuji -- Arumugam, Manimozhiyan -- Doerks, Tobias -- Kuhner, Sebastian -- Rode, Michaela -- Suyama, Mikita -- Schmidt, Sabine -- Gavin, Anne-Claude -- Bork, Peer -- Serrano, Luis -- New York, N.Y. -- Science. 2009 Nov 27;326(5957):1268-71. doi: 10.1126/science.1176951.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Centre for Genomic Regulation (CRG), Universitat Pompeu Fabra, Barcelona, Spain.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19965477" target="_blank"〉PubMed〈/a〉
    Keywords: Base Sequence ; *Gene Expression Profiling ; *Gene Expression Regulation, Bacterial ; Genes, Bacterial ; *Genome, Bacterial ; Molecular Sequence Data ; Mycoplasma pneumoniae/*genetics/metabolism ; Oligonucleotide Array Sequence Analysis ; Operon ; RNA, Antisense/genetics/metabolism ; RNA, Bacterial/*genetics/metabolism ; RNA, Messenger/genetics/metabolism ; RNA, Untranslated/analysis/*genetics ; *Transcription, Genetic
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 6
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    Structure-based assembly of protein complexes in yeast (2004)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2004-03-27
    Description: Images of entire cells are preceding atomic structures of the separate molecular machines that they contain. The resulting gap in knowledge can be partly bridged by protein-protein interactions, bioinformatics, and electron microscopy. Here we use interactions of known three-dimensional structure to model a large set of yeast complexes, which we also screen by electron microscopy. For 54 of 102 complexes, we obtain at least partial models of interacting subunits. For 29, including the exosome, the chaperonin containing TCP-1, a 3'-messenger RNA degradation complex, and RNA polymerase II, the process suggests atomic details not easily seen by homology, involving the combination of two or more known structures. We also consider interactions between complexes (cross-talk) and use these to construct a structure-based network of molecular machines in the cell.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Aloy, Patrick -- Bottcher, Bettina -- Ceulemans, Hugo -- Leutwein, Christina -- Mellwig, Christian -- Fischer, Susanne -- Gavin, Anne-Claude -- Bork, Peer -- Superti-Furga, Giulio -- Serrano, Luis -- Russell, Robert B -- New York, N.Y. -- Science. 2004 Mar 26;303(5666):2026-9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉European Molecular Biology Laboratory, Structural and Computational Biology Programme, 1, 69117 Heidelberg, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15044803" target="_blank"〉PubMed〈/a〉
    Keywords: Chaperonins/chemistry/metabolism ; Computational Biology ; Image Processing, Computer-Assisted ; Microscopy, Electron ; Models, Biological ; Models, Molecular ; Nuclear Proteins/chemistry/metabolism ; Protein Binding ; Protein Conformation ; *Protein Interaction Mapping ; Protein Structure, Tertiary ; RNA Polymerase II/chemistry/metabolism ; Ribonuclease P/chemistry/metabolism ; Saccharomyces cerevisiae/chemistry/*metabolism/ultrastructure ; Saccharomyces cerevisiae Proteins/chemistry/*metabolism ; Transcription Factors/chemistry/metabolism
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 7
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    Interactome map uncovers phosphatidylserine transport by oxysterol-binding proteins (2013)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2013-08-13
    Description: The internal organization of eukaryotic cells into functionally specialized, membrane-delimited organelles of unique composition implies a need for active, regulated lipid transport. Phosphatidylserine (PS), for example, is synthesized in the endoplasmic reticulum and then preferentially associates--through mechanisms not fully elucidated--with the inner leaflet of the plasma membrane. Lipids can travel via transport vesicles. Alternatively, several protein families known as lipid-transfer proteins (LTPs) can extract a variety of specific lipids from biological membranes and transport them, within a hydrophobic pocket, through aqueous phases. Here we report the development of an integrated approach that combines protein fractionation and lipidomics to characterize the LTP-lipid complexes formed in vivo. We applied the procedure to 13 LTPs in the yeast Saccharomyces cerevisiae: the six Sec14 homology (Sfh) proteins and the seven oxysterol-binding homology (Osh) proteins. We found that Osh6 and Osh7 have an unexpected specificity for PS. In vivo, they participate in PS homeostasis and the transport of this lipid to the plasma membrane. The structure of Osh6 bound to PS reveals unique features that are conserved among other metazoan oxysterol-binding proteins (OSBPs) and are required for PS recognition. Our findings represent the first direct evidence, to our knowledge, for the non-vesicular transfer of PS from its site of biosynthesis (the endoplasmic reticulum) to its site of biological activity (the plasma membrane). We describe a new subfamily of OSBPs, including human ORP5 and ORP10, that transfer PS and propose new mechanisms of action for a protein family that is involved in several human pathologies such as cancer, dyslipidaemia and metabolic syndrome.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Maeda, Kenji -- Anand, Kanchan -- Chiapparino, Antonella -- Kumar, Arun -- Poletto, Mattia -- Kaksonen, Marko -- Gavin, Anne-Claude -- England -- Nature. 2013 Sep 12;501(7466):257-61. doi: 10.1038/nature12430. Epub 2013 Aug 11.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉European Molecular Biology Laboratory, EMBL, Meyerhofstrasse 1, D-69117 Heidelberg, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23934110" target="_blank"〉PubMed〈/a〉
    Keywords: Biological Transport ; Carrier Proteins/chemistry/metabolism ; Cell Membrane/metabolism ; Dyslipidemias/metabolism ; Endoplasmic Reticulum/metabolism ; Homeostasis ; Humans ; Metabolic Syndrome X/metabolism ; Neoplasms/metabolism ; Phosphatidylserines/*metabolism ; Phylogeny ; *Protein Interaction Maps ; Receptors, Steroid/chemistry/*metabolism ; Saccharomyces cerevisiae/*metabolism ; Saccharomyces cerevisiae Proteins/chemistry/*metabolism ; Substrate Specificity
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Nature Publishing Group (NPG)
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  • 8
    Electronic Resource
    Electronic Resource
    Induction of M-phase entry of prophase-blocked mouse oocytes through microinjection of okadaic acid, a specific phosphatase inhibitor
    Amsterdam : Elsevier
    Experimental Cell Research 192 (1991), S. 75-81 
    Details
    ISSN: 0014-4827
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Biology , Medicine
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1016/0014-4827(91)90159-R
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  • 9
    Electronic Resource
    Electronic Resource
    The interaction of lithium with forskolin-inhibited meiotic maturation of denuded mouse oocytes
    Amsterdam : Elsevier
    Experimental Cell Research 179 (1988), S. 298-302 
    Details
    ISSN: 0014-4827
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Biology , Medicine
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1016/0014-4827(88)90369-2
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  • 10
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    Mechismo: predicting the mechanistic impact of mutations and modifications on molecular interactions (2015)
    Oxford University Press
    Details
    Publication Date: 2015-01-24
    Description: Systematic interrogation of mutation or protein modification data is important to identify sites with functional consequences and to deduce global consequences from large data sets. Mechismo ( mechismo.russellab.org ) enables simultaneous consideration of thousands of 3D structures and biomolecular interactions to predict rapidly mechanistic consequences for mutations and modifications. As useful functional information often only comes from homologous proteins, we benchmarked the accuracy of predictions as a function of protein/structure sequence similarity, which permits the use of relatively weak sequence similarities with an appropriate confidence measure. For protein–protein, protein–nucleic acid and a subset of protein–chemical interactions, we also developed and benchmarked a measure of whether modifications are likely to enhance or diminish the interactions, which can assist the detection of modifications with specific effects. Analysis of high-throughput sequencing data shows that the approach can identify interesting differences between cancers, and application to proteomics data finds potential mechanistic insights for how post-translational modifications can alter biomolecular interactions.
    Keywords: Polymorphism/mutation detection, Computational Methods
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
    Published by Oxford University Press
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