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  • 1
    Publication Date: 2016-05-12
    Description: Chromosome segregation and mitotic exit are initiated by the 1.2-MDa ubiquitin ligase APC/C (anaphase-promoting complex/cyclosome) and its coactivator CDC20 (cell division cycle 20). To avoid chromosome missegregation, APC/CCDC20 activation is tightly controlled. CDC20 only associates with APC/C in mitosis when APC/C has become phosphorylated and is further inhibited by a...
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 2
    Publication Date: 2016-05-12
    Description: Analyses of protein complexes are facilitated by methods that enable the generation of recombinant complexes via coexpression of their subunits from multigene DNA constructs. However, low experimental throughput limits the generation of such constructs in parallel. Here we describe a method that allows up to 25 cDNAs to be assembled...
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 3
    Publication Date: 2004-05-25
    Description: Tyrosine phosphorylation, regulated by protein tyrosine phosphatases (PTPs) and kinases (PTKs), is important in signaling pathways underlying tumorigenesis. A mutational analysis of the tyrosine phosphatase gene superfamily in human cancers identified 83 somatic mutations in six PTPs (PTPRF, PTPRG, PTPRT, PTPN3, PTPN13, PTPN14), affecting 26% of colorectal cancers and a smaller fraction of lung, breast, and gastric cancers. Fifteen mutations were nonsense, frameshift, or splice-site alterations predicted to result in truncated proteins lacking phosphatase activity. Five missense mutations in the most commonly altered PTP (PTPRT) were biochemically examined and found to reduce phosphatase activity. Expression of wild-type but not a mutant PTPRT in human cancer cells inhibited cell growth. These observations suggest that the mutated tyrosine phosphatases are tumor suppressor genes, regulating cellular pathways that may be amenable to therapeutic intervention.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wang, Zhenghe -- Shen, Dong -- Parsons, D Williams -- Bardelli, Alberto -- Sager, Jason -- Szabo, Steve -- Ptak, Janine -- Silliman, Natalie -- Peters, Brock A -- van der Heijden, Michiel S -- Parmigiani, Giovanni -- Yan, Hai -- Wang, Tian-Li -- Riggins, Greg -- Powell, Steven M -- Willson, James K V -- Markowitz, Sanford -- Kinzler, Kenneth W -- Vogelstein, Bert -- Velculescu, Victor E -- CA 43460/CA/NCI NIH HHS/ -- CA 57345/CA/NCI NIH HHS/ -- CA 62924/CA/NCI NIH HHS/ -- New York, N.Y. -- Science. 2004 May 21;304(5674):1164-6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Sidney Kimmel Comprehensive Cancer Center, Howard Hughes Medical Institute, Johns Hopkins University Medical Institutions, Baltimore, MD 21231, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15155950" target="_blank"〉PubMed〈/a〉
    Keywords: Catalytic Domain ; Cell Division ; Codon, Nonsense ; Colorectal Neoplasms/*enzymology/*genetics ; Computational Biology ; *DNA Mutational Analysis ; Exons ; Frameshift Mutation ; Genes, Tumor Suppressor ; Humans ; Kinetics ; Markov Chains ; *Mutation ; Mutation, Missense ; Nerve Tissue Proteins/chemistry/genetics/metabolism ; Phosphorylation ; Protein Tyrosine Phosphatase, Non-Receptor Type 13 ; Protein Tyrosine Phosphatase, Non-Receptor Type 3 ; Protein Tyrosine Phosphatases/chemistry/*genetics/metabolism ; Receptor-Like Protein Tyrosine Phosphatases, Class 5 ; Signal Transduction ; Transfection ; Tyrosine/*metabolism
    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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  • 4
    Publication Date: 2012-07-13
    Description: Recent advances in whole-genome sequencing have brought the vision of personal genomics and genomic medicine closer to reality. However, current methods lack clinical accuracy and the ability to describe the context (haplotypes) in which genome variants co-occur in a cost-effective manner. Here we describe a low-cost DNA sequencing and haplotyping process, long fragment read (LFR) technology, which is similar to sequencing long single DNA molecules without cloning or separation of metaphase chromosomes. In this study, ten LFR libraries were made using only approximately 100 picograms of human DNA per sample. Up to 97% of the heterozygous single nucleotide variants were assembled into long haplotype contigs. Removal of false positive single nucleotide variants not phased by multiple LFR haplotypes resulted in a final genome error rate of 1 in 10 megabases. Cost-effective and accurate genome sequencing and haplotyping from 10-20 human cells, as demonstrated here, will enable comprehensive genetic studies and diverse clinical applications.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3397394/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3397394/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Peters, Brock A -- Kermani, Bahram G -- Sparks, Andrew B -- Alferov, Oleg -- Hong, Peter -- Alexeev, Andrei -- Jiang, Yuan -- Dahl, Fredrik -- Tang, Y Tom -- Haas, Juergen -- Robasky, Kimberly -- Zaranek, Alexander Wait -- Lee, Je-Hyuk -- Ball, Madeleine Price -- Peterson, Joseph E -- Perazich, Helena -- Yeung, George -- Liu, Jia -- Chen, Linsu -- Kennemer, Michael I -- Pothuraju, Kaliprasad -- Konvicka, Karel -- Tsoupko-Sitnikov, Mike -- Pant, Krishna P -- Ebert, Jessica C -- Nilsen, Geoffrey B -- Baccash, Jonathan -- Halpern, Aaron L -- Church, George M -- Drmanac, Radoje -- P50 HG005550/HG/NHGRI NIH HHS/ -- P50HG005550/HG/NHGRI NIH HHS/ -- England -- Nature. 2012 Jul 11;487(7406):190-5. doi: 10.1038/nature11236.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Complete Genomics, Inc., 2071 Stierlin Court, Mountain View, California 94043, USA. bpeters@completegenomics.com〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22785314" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Cell Line ; Female ; Gene Silencing ; Genetic Variation ; *Genome, Human ; Genomics/*methods ; Haplotypes ; Humans ; Mutation ; Reproducibility of Results ; Sequence Analysis, DNA/economics/*methods/standards
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2010-07-30
    Description: The systematic characterization of somatic mutations in cancer genomes is essential for understanding the disease and for developing targeted therapeutics. Here we report the identification of 2,576 somatic mutations across approximately 1,800 megabases of DNA representing 1,507 coding genes from 441 tumours comprising breast, lung, ovarian and prostate cancer types and subtypes. We found that mutation rates and the sets of mutated genes varied substantially across tumour types and subtypes. Statistical analysis identified 77 significantly mutated genes including protein kinases, G-protein-coupled receptors such as GRM8, BAI3, AGTRL1 (also called APLNR) and LPHN3, and other druggable targets. Integrated analysis of somatic mutations and copy number alterations identified another 35 significantly altered genes including GNAS, indicating an expanded role for galpha subunits in multiple cancer types. Furthermore, our experimental analyses demonstrate the functional roles of mutant GNAO1 (a Galpha subunit) and mutant MAP2K4 (a member of the JNK signalling pathway) in oncogenesis. Our study provides an overview of the mutational spectra across major human cancers and identifies several potential therapeutic targets.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kan, Zhengyan -- Jaiswal, Bijay S -- Stinson, Jeremy -- Janakiraman, Vasantharajan -- Bhatt, Deepali -- Stern, Howard M -- Yue, Peng -- Haverty, Peter M -- Bourgon, Richard -- Zheng, Jianbiao -- Moorhead, Martin -- Chaudhuri, Subhra -- Tomsho, Lynn P -- Peters, Brock A -- Pujara, Kanan -- Cordes, Shaun -- Davis, David P -- Carlton, Victoria E H -- Yuan, Wenlin -- Li, Li -- Wang, Weiru -- Eigenbrot, Charles -- Kaminker, Joshua S -- Eberhard, David A -- Waring, Paul -- Schuster, Stephan C -- Modrusan, Zora -- Zhang, Zemin -- Stokoe, David -- de Sauvage, Frederic J -- Faham, Malek -- Seshagiri, Somasekar -- England -- Nature. 2010 Aug 12;466(7308):869-73. doi: 10.1038/nature09208. Epub 2010 Jul 28.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Molecular Biology, Genentech Inc., 1 DNA Way, South San Francisco, California 94080, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20668451" target="_blank"〉PubMed〈/a〉
    Keywords: Breast Neoplasms/classification/genetics ; DNA Copy Number Variations/genetics ; DNA Mutational Analysis ; Female ; GTP-Binding Protein alpha Subunits/genetics ; Genes, Neoplasm/*genetics ; Humans ; Lung Neoplasms/classification/genetics ; MAP Kinase Kinase 4/genetics ; Male ; Mutation/*genetics ; Neoplasms/enzymology/*genetics/*metabolism/pathology ; Ovarian Neoplasms/classification/genetics ; Prostatic Neoplasms/classification/genetics ; Protein Kinases/genetics ; Receptors, G-Protein-Coupled/genetics ; Signal Transduction/*genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 2009-11-07
    Description: Genome sequencing of large numbers of individuals promises to advance the understanding, treatment, and prevention of human diseases, among other applications. We describe a genome sequencing platform that achieves efficient imaging and low reagent consumption with combinatorial probe anchor ligation chemistry to independently assay each base from patterned nanoarrays of self-assembling DNA nanoballs. We sequenced three human genomes with this platform, generating an average of 45- to 87-fold coverage per genome and identifying 3.2 to 4.5 million sequence variants per genome. Validation of one genome data set demonstrates a sequence accuracy of about 1 false variant per 100 kilobases. The high accuracy, affordable cost of $4400 for sequencing consumables, and scalability of this platform enable complete human genome sequencing for the detection of rare variants in large-scale genetic studies.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Drmanac, Radoje -- Sparks, Andrew B -- Callow, Matthew J -- Halpern, Aaron L -- Burns, Norman L -- Kermani, Bahram G -- Carnevali, Paolo -- Nazarenko, Igor -- Nilsen, Geoffrey B -- Yeung, George -- Dahl, Fredrik -- Fernandez, Andres -- Staker, Bryan -- Pant, Krishna P -- Baccash, Jonathan -- Borcherding, Adam P -- Brownley, Anushka -- Cedeno, Ryan -- Chen, Linsu -- Chernikoff, Dan -- Cheung, Alex -- Chirita, Razvan -- Curson, Benjamin -- Ebert, Jessica C -- Hacker, Coleen R -- Hartlage, Robert -- Hauser, Brian -- Huang, Steve -- Jiang, Yuan -- Karpinchyk, Vitali -- Koenig, Mark -- Kong, Calvin -- Landers, Tom -- Le, Catherine -- Liu, Jia -- McBride, Celeste E -- Morenzoni, Matt -- Morey, Robert E -- Mutch, Karl -- Perazich, Helena -- Perry, Kimberly -- Peters, Brock A -- Peterson, Joe -- Pethiyagoda, Charit L -- Pothuraju, Kaliprasad -- Richter, Claudia -- Rosenbaum, Abraham M -- Roy, Shaunak -- Shafto, Jay -- Sharanhovich, Uladzislau -- Shannon, Karen W -- Sheppy, Conrad G -- Sun, Michel -- Thakuria, Joseph V -- Tran, Anne -- Vu, Dylan -- Zaranek, Alexander Wait -- Wu, Xiaodi -- Drmanac, Snezana -- Oliphant, Arnold R -- Banyai, William C -- Martin, Bruce -- Ballinger, Dennis G -- Church, George M -- Reid, Clifford A -- New York, N.Y. -- Science. 2010 Jan 1;327(5961):78-81. doi: 10.1126/science.1181498. Epub 2009 Nov 5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Complete Genomics, Inc., 2071 Stierlin Court, Mountain View, CA 94043, USA. rdrmanac@completegenomics.com〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19892942" target="_blank"〉PubMed〈/a〉
    Keywords: Base Sequence ; Computational Biology ; Costs and Cost Analysis ; DNA/*chemistry/genetics ; Databases, Nucleic Acid ; *Genome, Human ; Genomic Library ; Genotype ; Haplotypes ; Human Genome Project ; Humans ; Male ; *Microarray Analysis ; Nanostructures ; Nanotechnology ; Nucleic Acid Amplification Techniques ; Polymorphism, Single Nucleotide ; Sequence Analysis, DNA/economics/instrumentation/*methods/standards ; Software
    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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  • 7
    Electronic Resource
    Electronic Resource
    [s.l.] : Nature Publishing Group
    Nature 362 (1993), S. 53-56 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] A characteristic of coastal foredune vegetation is the succession of zones dominated by single perennial plant species with clonal growth form. These plant species show roughly three phases of development: (1) colonization, (2) optimum growth and (3) degeneration and replacement by other plant ...
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  • 8
    Publication Date: 2015-06-27
    Description: Motivation: Numerous in silico methods predicting peptide binding to major histocompatibility complex (MHC) class I molecules have been developed over the last decades. However, the multitude of available prediction tools makes it non-trivial for the end-user to select which tool to use for a given task. To provide a solid basis on which to compare different prediction tools, we here describe a framework for the automated benchmarking of peptide-MHC class I binding prediction tools. The framework runs weekly benchmarks on data that are newly entered into the Immune Epitope Database (IEDB), giving the public access to frequent, up-to-date performance evaluations of all participating tools. To overcome potential selection bias in the data included in the IEDB, a strategy was implemented that suggests a set of peptides for which different prediction methods give divergent predictions as to their binding capability. Upon experimental binding validation, these peptides entered the benchmark study. Results: The benchmark has run for 15 weeks and includes evaluation of 44 datasets covering 17 MHC alleles and more than 4000 peptide-MHC binding measurements. Inspection of the results allows the end-user to make educated selections between participating tools. Of the four participating servers, NetMHCpan performed the best, followed by ANN, SMM and finally ARB. Availability and implementation: Up-to-date performance evaluations of each server can be found online at http://tools.iedb.org/auto_bench/mhci/weekly . All prediction tool developers are invited to participate in the benchmark. Sign-up instructions are available at http://tools.iedb.org/auto_bench/mhci/join . Contact: mniel@cbs.dtu.dk or bpeters@liai.org Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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  • 9
    Publication Date: 2016-08-24
    Description: Author(s): M. Madurga, S. V. Paulauskas, R. Grzywacz, D. Miller, D. W. Bardayan, J. C. Batchelder, N. T. Brewer, J. A. Cizewski, A. Fijałkowska, C. J. Gross, M. E. Howard, S. V. Ilyushkin, B. Manning, M. Matoš, A. J. Mendez, II, K. Miernik, S. W. Padgett, W. A. Peters, B. C. Rasco, A. Ratkiewicz, K. P. Rykaczewski, D. W. Stracener, E. H. Wang, M. Wolińska-Cichocka, and E. F. Zganjar The β -delayed neutron emission of Ga 83 , 84 isotopes was studied using the neutron time-of-flight technique. The measured neutron energy spectra showed emission from states at excitation energies high above the neutron separation energy and previously not observed in the β decay of midmass nuclei. The… [Phys. Rev. Lett. 117, 092502] Published Tue Aug 23, 2016
    Keywords: Nuclear Physics
    Print ISSN: 0031-9007
    Electronic ISSN: 1079-7114
    Topics: Physics
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  • 10
    Publication Date: 2012-07-25
    Description: Rapid advances in DNA sequencing promise to enable new diagnostics and individualized therapies. Achieving personalized medicine, however, will require extensive research on highly reidentifiable, integrated datasets of genomic and health information. To assist with this, participants in the Personal Genome Project choose to forgo privacy via our institutional review board- approved “open consent” process. The contribution of public data and samples facilitates both scientific discovery and standardization of methods. We present our findings after enrollment of more than 1,800 participants, including whole-genome sequencing of 10 pilot participant genomes (the PGP-10). We introduce the Genome-Environment-Trait Evidence (GET-Evidence) system. This tool automatically processes genomes and prioritizes both published and novel variants for interpretation. In the process of reviewing the presumed healthy PGP-10 genomes, we find numerous literature references implying serious disease. Although it is sometimes impossible to rule out a late-onset effect, stringent evidence requirements can address the high rate of incidental findings. To that end we develop a peer production system for recording and organizing variant evaluations according to standard evidence guidelines, creating a public forum for reaching consensus on interpretation of clinically relevant variants. Genome analysis becomes a two-step process: using a prioritized list to record variant evaluations, then automatically sorting reviewed variants using these annotations. Genome data, health and trait information, participant samples, and variant interpretations are all shared in the public domain—we invite others to review our results using our participant samples and contribute to our interpretations. We offer our public resource and methods to further personalized medical research.
    Keywords: Inaugural Articles
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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