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  • Reproducibility of Results  (15)
  • Nature Publishing Group (NPG)  (15)
  • Institute of Physics
  • 2010-2014  (15)
  • 1955-1959
  • 2013  (15)
Collection
Publisher
  • Nature Publishing Group (NPG)  (15)
  • Institute of Physics
Years
  • 2010-2014  (15)
  • 1955-1959
Year
  • 1
    Publication Date: 2013-06-19
    Description: Major international projects are underway that are aimed at creating a comprehensive catalogue of all the genes responsible for the initiation and progression of cancer. These studies involve the sequencing of matched tumour-normal samples followed by mathematical analysis to identify those genes in which mutations occur more frequently than expected by random chance. Here we describe a fundamental problem with cancer genome studies: as the sample size increases, the list of putatively significant genes produced by current analytical methods burgeons into the hundreds. The list includes many implausible genes (such as those encoding olfactory receptors and the muscle protein titin), suggesting extensive false-positive findings that overshadow true driver events. We show that this problem stems largely from mutational heterogeneity and provide a novel analytical methodology, MutSigCV, for resolving the problem. We apply MutSigCV to exome sequences from 3,083 tumour-normal pairs and discover extraordinary variation in mutation frequency and spectrum within cancer types, which sheds light on mutational processes and disease aetiology, and in mutation frequency across the genome, which is strongly correlated with DNA replication timing and also with transcriptional activity. By incorporating mutational heterogeneity into the analyses, MutSigCV is able to eliminate most of the apparent artefactual findings and enable the identification of genes truly associated with cancer.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3919509/" 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/PMC3919509/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lawrence, Michael S -- Stojanov, Petar -- Polak, Paz -- Kryukov, Gregory V -- Cibulskis, Kristian -- Sivachenko, Andrey -- Carter, Scott L -- Stewart, Chip -- Mermel, Craig H -- Roberts, Steven A -- Kiezun, Adam -- Hammerman, Peter S -- McKenna, Aaron -- Drier, Yotam -- Zou, Lihua -- Ramos, Alex H -- Pugh, Trevor J -- Stransky, Nicolas -- Helman, Elena -- Kim, Jaegil -- Sougnez, Carrie -- Ambrogio, Lauren -- Nickerson, Elizabeth -- Shefler, Erica -- Cortes, Maria L -- Auclair, Daniel -- Saksena, Gordon -- Voet, Douglas -- Noble, Michael -- DiCara, Daniel -- Lin, Pei -- Lichtenstein, Lee -- Heiman, David I -- Fennell, Timothy -- Imielinski, Marcin -- Hernandez, Bryan -- Hodis, Eran -- Baca, Sylvan -- Dulak, Austin M -- Lohr, Jens -- Landau, Dan-Avi -- Wu, Catherine J -- Melendez-Zajgla, Jorge -- Hidalgo-Miranda, Alfredo -- Koren, Amnon -- McCarroll, Steven A -- Mora, Jaume -- Lee, Ryan S -- Crompton, Brian -- Onofrio, Robert -- Parkin, Melissa -- Winckler, Wendy -- Ardlie, Kristin -- Gabriel, Stacey B -- Roberts, Charles W M -- Biegel, Jaclyn A -- Stegmaier, Kimberly -- Bass, Adam J -- Garraway, Levi A -- Meyerson, Matthew -- Golub, Todd R -- Gordenin, Dmitry A -- Sunyaev, Shamil -- Lander, Eric S -- Getz, Gad -- ES065073/ES/NIEHS NIH HHS/ -- T32 CA009172/CA/NCI NIH HHS/ -- T32 CA009216/CA/NCI NIH HHS/ -- T32 GM007753/GM/NIGMS NIH HHS/ -- U24 CA143845/CA/NCI NIH HHS/ -- U54 HG003067/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- Intramural NIH HHS/ -- England -- Nature. 2013 Jul 11;499(7457):214-8. doi: 10.1038/nature12213. Epub 2013 Jun 16.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02141, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23770567" target="_blank"〉PubMed〈/a〉
    Keywords: Artifacts ; DNA Replication Timing ; Exome/genetics ; False Positive Reactions ; Gene Expression ; *Genetic Heterogeneity ; Genome, Human/genetics ; Humans ; Lung Neoplasms/genetics ; Mutation/*genetics ; Mutation Rate ; Neoplasms/classification/*genetics/pathology ; Neoplasms, Squamous Cell/genetics ; Oncogenes/*genetics ; Reproducibility of Results ; Sample Size
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  • 2
    Publication Date: 2013-08-16
    Description: All cancers are caused by somatic mutations; however, understanding of the biological processes generating these mutations is limited. The catalogue of somatic mutations from a cancer genome bears the signatures of the mutational processes that have been operative. Here we analysed 4,938,362 mutations from 7,042 cancers and extracted more than 20 distinct mutational signatures. Some are present in many cancer types, notably a signature attributed to the APOBEC family of cytidine deaminases, whereas others are confined to a single cancer class. Certain signatures are associated with age of the patient at cancer diagnosis, known mutagenic exposures or defects in DNA maintenance, but many are of cryptic origin. In addition to these genome-wide mutational signatures, hypermutation localized to small genomic regions, 'kataegis', is found in many cancer types. The results reveal the diversity of mutational processes underlying the development of cancer, with potential implications for understanding of cancer aetiology, prevention and therapy.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3776390/" 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/PMC3776390/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Alexandrov, Ludmil B -- Nik-Zainal, Serena -- Wedge, David C -- Aparicio, Samuel A J R -- Behjati, Sam -- Biankin, Andrew V -- Bignell, Graham R -- Bolli, Niccolo -- Borg, Ake -- Borresen-Dale, Anne-Lise -- Boyault, Sandrine -- Burkhardt, Birgit -- Butler, Adam P -- Caldas, Carlos -- Davies, Helen R -- Desmedt, Christine -- Eils, Roland -- Eyfjord, Jorunn Erla -- Foekens, John A -- Greaves, Mel -- Hosoda, Fumie -- Hutter, Barbara -- Ilicic, Tomislav -- Imbeaud, Sandrine -- Imielinski, Marcin -- Jager, Natalie -- Jones, David T W -- Jones, David -- Knappskog, Stian -- Kool, Marcel -- Lakhani, Sunil R -- Lopez-Otin, Carlos -- Martin, Sancha -- Munshi, Nikhil C -- Nakamura, Hiromi -- Northcott, Paul A -- Pajic, Marina -- Papaemmanuil, Elli -- Paradiso, Angelo -- Pearson, John V -- Puente, Xose S -- Raine, Keiran -- Ramakrishna, Manasa -- Richardson, Andrea L -- Richter, Julia -- Rosenstiel, Philip -- Schlesner, Matthias -- Schumacher, Ton N -- Span, Paul N -- Teague, Jon W -- Totoki, Yasushi -- Tutt, Andrew N J -- Valdes-Mas, Rafael -- van Buuren, Marit M -- van 't Veer, Laura -- Vincent-Salomon, Anne -- Waddell, Nicola -- Yates, Lucy R -- Australian Pancreatic Cancer Genome Initiative -- ICGC Breast Cancer Consortium -- ICGC MMML-Seq Consortium -- ICGC PedBrain -- Zucman-Rossi, Jessica -- Futreal, P Andrew -- McDermott, Ultan -- Lichter, Peter -- Meyerson, Matthew -- Grimmond, Sean M -- Siebert, Reiner -- Campo, Elias -- Shibata, Tatsuhiro -- Pfister, Stefan M -- Campbell, Peter J -- Stratton, Michael R -- 088340/Wellcome Trust/United Kingdom -- 093867/Wellcome Trust/United Kingdom -- 098051/Wellcome Trust/United Kingdom -- T32 CA009216/CA/NCI NIH HHS/ -- England -- Nature. 2013 Aug 22;500(7463):415-21. doi: 10.1038/nature12477. Epub 2013 Aug 14.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23945592" target="_blank"〉PubMed〈/a〉
    Keywords: Aging/genetics ; Algorithms ; Cell Transformation, Neoplastic/*genetics/pathology ; Cytidine Deaminase/genetics ; DNA/genetics/metabolism ; DNA Mutational Analysis ; Humans ; Models, Genetic ; Mutagenesis/*genetics ; Mutagenesis, Insertional/genetics ; Mutagens/pharmacology ; Mutation/*genetics ; Neoplasms/enzymology/*genetics/pathology ; Organ Specificity ; Reproducibility of Results ; Sequence Deletion/genetics ; Transcription, Genetic/genetics
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  • 3
    Publication Date: 2013-11-29
    Description: Achieving the goal of malaria elimination will depend on targeting Plasmodium pathways essential across all life stages. Here we identify a lipid kinase, phosphatidylinositol-4-OH kinase (PI(4)K), as the target of imidazopyrazines, a new antimalarial compound class that inhibits the intracellular development of multiple Plasmodium species at each stage of infection in the vertebrate host. Imidazopyrazines demonstrate potent preventive, therapeutic, and transmission-blocking activity in rodent malaria models, are active against blood-stage field isolates of the major human pathogens P. falciparum and P. vivax, and inhibit liver-stage hypnozoites in the simian parasite P. cynomolgi. We show that imidazopyrazines exert their effect through inhibitory interaction with the ATP-binding pocket of PI(4)K, altering the intracellular distribution of phosphatidylinositol-4-phosphate. Collectively, our data define PI(4)K as a key Plasmodium vulnerability, opening up new avenues of target-based discovery to identify drugs with an ideal activity profile for the prevention, treatment and elimination of malaria.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3940870/" 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/PMC3940870/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉McNamara, Case W -- Lee, Marcus C S -- Lim, Chek Shik -- Lim, Siau Hoi -- Roland, Jason -- Nagle, Advait -- Simon, Oliver -- Yeung, Bryan K S -- Chatterjee, Arnab K -- McCormack, Susan L -- Manary, Micah J -- Zeeman, Anne-Marie -- Dechering, Koen J -- Kumar, T R Santha -- Henrich, Philipp P -- Gagaring, Kerstin -- Ibanez, Maureen -- Kato, Nobutaka -- Kuhen, Kelli L -- Fischli, Christoph -- Rottmann, Matthias -- Plouffe, David M -- Bursulaya, Badry -- Meister, Stephan -- Rameh, Lucia -- Trappe, Joerg -- Haasen, Dorothea -- Timmerman, Martijn -- Sauerwein, Robert W -- Suwanarusk, Rossarin -- Russell, Bruce -- Renia, Laurent -- Nosten, Francois -- Tully, David C -- Kocken, Clemens H M -- Glynne, Richard J -- Bodenreider, Christophe -- Fidock, David A -- Diagana, Thierry T -- Winzeler, Elizabeth A -- 078285/Wellcome Trust/United Kingdom -- 089275/Wellcome Trust/United Kingdom -- 090534/Wellcome Trust/United Kingdom -- 096157/Wellcome Trust/United Kingdom -- R01 AI079709/AI/NIAID NIH HHS/ -- R01 AI085584/AI/NIAID NIH HHS/ -- R01 AI090141/AI/NIAID NIH HHS/ -- R01 AI103058/AI/NIAID NIH HHS/ -- R01079709/PHS HHS/ -- R01085584/PHS HHS/ -- R01AI090141/AI/NIAID NIH HHS/ -- WT078285/Wellcome Trust/United Kingdom -- WT096157/Wellcome Trust/United Kingdom -- England -- Nature. 2013 Dec 12;504(7479):248-53. doi: 10.1038/nature12782. Epub 2013 Nov 27.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Genomics Institute of the Novartis Research Foundation, San Diego, California 92121, USA [2]. ; 1] Department of Microbiology & Immunology, Columbia University Medical Center, New York, New York 10032, USA [2]. ; Novartis Institutes for Tropical Disease, 138670 Singapore. ; Genomics Institute of the Novartis Research Foundation, San Diego, California 92121, USA. ; Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, California 92093, USA. ; Department of Parasitology, Biomedical Primate Research Centre, PO Box 3306, 2280 GH Rijswijk, The Netherlands. ; TropIQ Health Sciences, 6525 GA Nijmegen, The Netherlands. ; Department of Microbiology & Immunology, Columbia University Medical Center, New York, New York 10032, USA. ; Swiss Tropical and Public Health Institute, CH-4002 Basel, Switzerland. ; 1] Swiss Tropical and Public Health Institute, CH-4002 Basel, Switzerland [2] University of Basel, CH-4003 Basel, Switzerland. ; Department of Medicine, School of Medicine, Boston University, Boston, Massachusetts 02118, USA. ; Novartis Institutes for BioMedical Research, CH-4002 Basel, Switzerland. ; 1] TropIQ Health Sciences, 6525 GA Nijmegen, The Netherlands [2] Department of Medical Microbiology, Radboud University, Nijmegen Medical CentrePO Box 9101, 6500 HB Nijmegen, The Netherlands. ; Laboratory of Malaria Immunobiology, Singapore Immunology Network, Agency for Science Technology and Research (A*STAR), Biopolis, 138648 Singapore. ; 1] Laboratory of Malaria Immunobiology, Singapore Immunology Network, Agency for Science Technology and Research (A*STAR), Biopolis, 138648 Singapore [2] Department of Microbiology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, 117545 Singapore. ; 1] Centre for Tropical Medicine, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, UK [2] Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot 63110, Thailand. ; 1] Department of Microbiology & Immunology, Columbia University Medical Center, New York, New York 10032, USA [2] Division of Infectious Diseases, Department of Medicine, Columbia University Medical Center, New York, New York 10032, USA. ; 1] Genomics Institute of the Novartis Research Foundation, San Diego, California 92121, USA [2] Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, California 92093, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24284631" target="_blank"〉PubMed〈/a〉
    Keywords: 1-Phosphatidylinositol 4-Kinase/*antagonists & ; inhibitors/chemistry/genetics/metabolism ; Adenosine Triphosphate/metabolism ; Animals ; Binding Sites ; Cytokinesis/drug effects ; Drug Resistance/drug effects/genetics ; Fatty Acids/metabolism ; Female ; Hepatocytes/parasitology ; Humans ; Imidazoles/metabolism/pharmacology ; Life Cycle Stages/drug effects ; Macaca mulatta ; Malaria/*drug therapy/*parasitology ; Male ; Models, Biological ; Models, Molecular ; Phosphatidylinositol Phosphates/metabolism ; Plasmodium/classification/*drug effects/*enzymology/growth & development ; Pyrazoles/metabolism/pharmacology ; Quinoxalines/metabolism/pharmacology ; Reproducibility of Results ; Schizonts/cytology/drug effects ; rab GTP-Binding Proteins/genetics/metabolism
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  • 4
    Publication Date: 2013-12-03
    Description: The increasing demands placed on natural resources for fuel and food production require that we explore the use of efficient, sustainable feedstocks such as brown macroalgae. The full potential of brown macroalgae as feedstocks for commercial-scale fuel ethanol production, however, requires extensive re-engineering of the alginate and mannitol catabolic pathways in the standard industrial microbe Saccharomyces cerevisiae. Here we present the discovery of an alginate monomer (4-deoxy-L-erythro-5-hexoseulose uronate, or DEHU) transporter from the alginolytic eukaryote Asteromyces cruciatus. The genomic integration and overexpression of the gene encoding this transporter, together with the necessary bacterial alginate and deregulated native mannitol catabolism genes, conferred the ability of an S. cerevisiae strain to efficiently metabolize DEHU and mannitol. When this platform was further adapted to grow on mannitol and DEHU under anaerobic conditions, it was capable of ethanol fermentation from mannitol and DEHU, achieving titres of 4.6% (v/v) (36.2 g l(-1)) and yields up to 83% of the maximum theoretical yield from consumed sugars. These results show that all major sugars in brown macroalgae can be used as feedstocks for biofuels and value-added renewable chemicals in a manner that is comparable to traditional arable-land-based feedstocks.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Enquist-Newman, Maria -- Faust, Ann Marie E -- Bravo, Daniel D -- Santos, Christine Nicole S -- Raisner, Ryan M -- Hanel, Arthur -- Sarvabhowman, Preethi -- Le, Chi -- Regitsky, Drew D -- Cooper, Susan R -- Peereboom, Lars -- Clark, Alana -- Martinez, Yessica -- Goldsmith, Joshua -- Cho, Min Y -- Donohoue, Paul D -- Luo, Lily -- Lamberson, Brigit -- Tamrakar, Pramila -- Kim, Edward J -- Villari, Jeffrey L -- Gill, Avinash -- Tripathi, Shital A -- Karamchedu, Padma -- Paredes, Carlos J -- Rajgarhia, Vineet -- Kotlar, Hans Kristian -- Bailey, Richard B -- Miller, Dennis J -- Ohler, Nicholas L -- Swimmer, Candace -- Yoshikuni, Yasuo -- England -- Nature. 2014 Jan 9;505(7482):239-43. doi: 10.1038/nature12771. Epub 2013 Dec 1.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Bio Architecture Lab Inc., 604 Bancroft Way, Suite A, Berkeley, California 94710, USA [2]. ; 1] Bio Architecture Lab Inc., 604 Bancroft Way, Suite A, Berkeley, California 94710, USA [2] Manus Biosynthesis Inc., 790 Memorial Drive, Suite 102, Cambridge, Massachusetts 02139 (C.N.S.S.); Calysta Energy, 1140 O'Brien Drive, Menlo Park, California 94025 (D.D.R.); Sutro Biopharma lnc., 310 Utah Avenue, Suite 150, South San Francisco, California 94080, USA (A.G.); Total New Energies USA, 5858 Horton Street, Emeryville, California 94560 (S.A.T.; V.R.). ; Bio Architecture Lab Inc., 604 Bancroft Way, Suite A, Berkeley, California 94710, USA. ; Department of Chemical Engineering and Materials Science, Michigan State University, 2527 Engineering Building, East Lansing, Michigan 48824-1226, USA. ; Statoil ASA, Statoil Research Centre, Arkitekt Ebbells vei 10, Rotvoll, 7005 Trondheim, Norway. ; 1] Bio Architecture Lab Inc., 604 Bancroft Way, Suite A, Berkeley, California 94710, USA [2] BALChile S.A., Badajoz 100, Oficina 1404, Las Condes, Santiago 7550000, Chile [3] BAL Biofuels S.A., Badajoz 100, Oficina 1404, Las Condes, Santiago 7550000, Chile.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24291791" target="_blank"〉PubMed〈/a〉
    Keywords: Alginates/metabolism ; Anaerobiosis ; Ascomycota/genetics/metabolism ; Biofuels/*supply & distribution ; Biotechnology ; *Carbohydrate Metabolism ; Carrier Proteins/genetics/metabolism ; Ethanol/*metabolism ; Evolution, Molecular ; Fermentation ; Genetic Complementation Test ; *Genetic Engineering ; Glucuronic Acid/metabolism ; Hexuronic Acids/metabolism ; Mannitol/metabolism ; Phaeophyta/genetics/*metabolism ; Quinic Acid/metabolism ; Reproducibility of Results ; Saccharomyces cerevisiae/genetics/*metabolism ; Seaweed/genetics/metabolism ; Uronic Acids/metabolism
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  • 5
    Publication Date: 2013-03-15
    Description: Magnetic resonance is an exceptionally powerful and versatile measurement technique. The basic structure of a magnetic resonance experiment has remained largely unchanged for almost 50 years, being mainly restricted to the qualitative probing of only a limited set of the properties that can in principle be accessed by this technique. Here we introduce an approach to data acquisition, post-processing and visualization--which we term 'magnetic resonance fingerprinting' (MRF)--that permits the simultaneous non-invasive quantification of multiple important properties of a material or tissue. MRF thus provides an alternative way to quantitatively detect and analyse complex changes that can represent physical alterations of a substance or early indicators of disease. MRF can also be used to identify the presence of a specific target material or tissue, which will increase the sensitivity, specificity and speed of a magnetic resonance study, and potentially lead to new diagnostic testing methodologies. When paired with an appropriate pattern-recognition algorithm, MRF inherently suppresses measurement errors and can thus improve measurement accuracy.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3602925/" 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/PMC3602925/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ma, Dan -- Gulani, Vikas -- Seiberlich, Nicole -- Liu, Kecheng -- Sunshine, Jeffrey L -- Duerk, Jeffrey L -- Griswold, Mark A -- KL2 TR000440/TR/NCATS NIH HHS/ -- R01 HL094557/HL/NHLBI NIH HHS/ -- R01HL094557/HL/NHLBI NIH HHS/ -- England -- Nature. 2013 Mar 14;495(7440):187-92. doi: 10.1038/nature11971.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biomedical Engineering, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23486058" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Diagnostic Tests, Routine/*methods ; Humans ; Magnetic Resonance Spectroscopy/*methods ; Motion ; Pattern Recognition, Automated ; Phantoms, Imaging ; Reproducibility of Results ; Research Design ; Sensitivity and Specificity
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  • 6
    Publication Date: 2013-09-06
    Description: The ability to design proteins with high affinity and selectivity for any given small molecule is a rigorous test of our understanding of the physiochemical principles that govern molecular recognition. Attempts to rationally design ligand-binding proteins have met with little success, however, and the computational design of protein-small-molecule interfaces remains an unsolved problem. Current approaches for designing ligand-binding proteins for medical and biotechnological uses rely on raising antibodies against a target antigen in immunized animals and/or performing laboratory-directed evolution of proteins with an existing low affinity for the desired ligand, neither of which allows complete control over the interactions involved in binding. Here we describe a general computational method for designing pre-organized and shape complementary small-molecule-binding sites, and use it to generate protein binders to the steroid digoxigenin (DIG). Of seventeen experimentally characterized designs, two bind DIG; the model of the higher affinity binder has the most energetically favourable and pre-organized interface in the design set. A comprehensive binding-fitness landscape of this design, generated by library selections and deep sequencing, was used to optimize its binding affinity to a picomolar level, and X-ray co-crystal structures of two variants show atomic-level agreement with the corresponding computational models. The optimized binder is selective for DIG over the related steroids digitoxigenin, progesterone and beta-oestradiol, and this steroid binding preference can be reprogrammed by manipulation of explicitly designed hydrogen-bonding interactions. The computational design method presented here should enable the development of a new generation of biosensors, therapeutics and diagnostics.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3898436/" 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/PMC3898436/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tinberg, Christine E -- Khare, Sagar D -- Dou, Jiayi -- Doyle, Lindsey -- Nelson, Jorgen W -- Schena, Alberto -- Jankowski, Wojciech -- Kalodimos, Charalampos G -- Johnsson, Kai -- Stoddard, Barry L -- Baker, David -- P41 GM103533/GM/NIGMS NIH HHS/ -- R01 GM049857/GM/NIGMS NIH HHS/ -- T32 HG000035/HG/NHGRI NIH HHS/ -- T32 HG00035/HG/NHGRI NIH HHS/ -- England -- Nature. 2013 Sep 12;501(7466):212-6. doi: 10.1038/nature12443. Epub 2013 Sep 4.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biochemistry, University of Washington, Seattle, Washington 98195, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24005320" target="_blank"〉PubMed〈/a〉
    Keywords: Binding Sites ; Biotechnology ; *Computer Simulation ; Crystallography, X-Ray ; Digoxigenin/chemistry/*metabolism ; *Drug Design ; Estradiol/chemistry/metabolism ; Ligands ; Models, Molecular ; Progesterone/chemistry/metabolism ; Protein Binding ; Proteins/*chemistry/*metabolism ; Reproducibility of Results ; Substrate Specificity
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  • 7
    Publication Date: 2013-01-11
    Description: Insulin receptor signalling has a central role in mammalian biology, regulating cellular metabolism, growth, division, differentiation and survival. Insulin resistance contributes to the pathogenesis of type 2 diabetes mellitus and the onset of Alzheimer's disease; aberrant signalling occurs in diverse cancers, exacerbated by cross-talk with the homologous type 1 insulin-like growth factor receptor (IGF1R). Despite more than three decades of investigation, the three-dimensional structure of the insulin-insulin receptor complex has proved elusive, confounded by the complexity of producing the receptor protein. Here we present the first view, to our knowledge, of the interaction of insulin with its primary binding site on the insulin receptor, on the basis of four crystal structures of insulin bound to truncated insulin receptor constructs. The direct interaction of insulin with the first leucine-rich-repeat domain (L1) of insulin receptor is seen to be sparse, the hormone instead engaging the insulin receptor carboxy-terminal alpha-chain (alphaCT) segment, which is itself remodelled on the face of L1 upon insulin binding. Contact between insulin and L1 is restricted to insulin B-chain residues. The alphaCT segment displaces the B-chain C-terminal beta-strand away from the hormone core, revealing the mechanism of a long-proposed conformational switch in insulin upon receptor engagement. This mode of hormone-receptor recognition is novel within the broader family of receptor tyrosine kinases. We support these findings by photo-crosslinking data that place the suggested interactions into the context of the holoreceptor and by isothermal titration calorimetry data that dissect the hormone-insulin receptor interface. Together, our findings provide an explanation for a wealth of biochemical data from the insulin receptor and IGF1R systems relevant to the design of therapeutic insulin analogues.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3793637/" 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/PMC3793637/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Menting, John G -- Whittaker, Jonathan -- Margetts, Mai B -- Whittaker, Linda J -- Kong, Geoffrey K-W -- Smith, Brian J -- Watson, Christopher J -- Zakova, Lenka -- Kletvikova, Emilia -- Jiracek, Jiri -- Chan, Shu Jin -- Steiner, Donald F -- Dodson, Guy G -- Brzozowski, Andrzej M -- Weiss, Michael A -- Ward, Colin W -- Lawrence, Michael C -- DK13914/DK/NIDDK NIH HHS/ -- DK20595/DK/NIDDK NIH HHS/ -- DK40949/DK/NIDDK NIH HHS/ -- R01 DK040949/DK/NIDDK NIH HHS/ -- UL1 TR000439/TR/NCATS NIH HHS/ -- Biotechnology and Biological Sciences Research Council/United Kingdom -- England -- Nature. 2013 Jan 10;493(7431):241-5. doi: 10.1038/nature11781.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, Victoria 3052, Australia.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23302862" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Binding Sites ; Calorimetry ; Cattle ; Cell Line ; Crystallography, X-Ray ; Humans ; Insulin/*chemistry/*metabolism ; Leucine/metabolism ; Ligands ; Models, Molecular ; Protein Binding ; Protein Structure, Secondary ; Receptor, Insulin/*chemistry/*metabolism ; Reproducibility of Results
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  • 8
    Publication Date: 2013-10-15
    Description: The mechanisms by which genetic variation affects transcription regulation and phenotypes at the nucleotide level are incompletely understood. Here we use natural genetic variation as an in vivo mutagenesis screen to assess the genome-wide effects of sequence variation on lineage-determining and signal-specific transcription factor binding, epigenomics and transcriptional outcomes in primary macrophages from different mouse strains. We find substantial genetic evidence to support the concept that lineage-determining transcription factors define epigenetic and transcriptomic states by selecting enhancer-like regions in the genome in a collaborative fashion and facilitating binding of signal-dependent factors. This hierarchical model of transcription factor function suggests that limited sets of genomic data for lineage-determining transcription factors and informative histone modifications can be used for the prioritization of disease-associated regulatory variants.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3994126/" 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/PMC3994126/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Heinz, S -- Romanoski, C E -- Benner, C -- Allison, K A -- Kaikkonen, M U -- Orozco, L D -- Glass, C K -- 5T32DK007494/DK/NIDDK NIH HHS/ -- CA17390/CA/NCI NIH HHS/ -- DK063491/DK/NIDDK NIH HHS/ -- DK091183/DK/NIDDK NIH HHS/ -- P01 DK074868/DK/NIDDK NIH HHS/ -- P30 CA023100/CA/NCI NIH HHS/ -- P30 DK063491/DK/NIDDK NIH HHS/ -- R01 CA173903/CA/NCI NIH HHS/ -- R01 DK091183/DK/NIDDK NIH HHS/ -- T32 AR059033/AR/NIAMS NIH HHS/ -- England -- Nature. 2013 Nov 28;503(7477):487-92. doi: 10.1038/nature12615. Epub 2013 Oct 13.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Cellular and Molecular Medicine, University of California, San Diego, 9500 Gilman Drive, Mail Code 0651, La Jolla, California 92093, USA [2].〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24121437" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Motifs/genetics ; Animals ; Base Sequence ; Cell Lineage/genetics ; DNA-Binding Proteins/metabolism ; Enhancer Elements, Genetic/*genetics ; Gene Expression Regulation/*genetics ; Genetic Variation/*genetics ; Histones/chemistry/metabolism ; Macrophages/metabolism ; Male ; Mice ; Mice, Inbred BALB C ; Mice, Inbred C57BL ; Models, Biological ; Mutation/genetics ; NF-kappa B/metabolism ; Protein Binding ; Reproducibility of Results ; Selection, Genetic/*genetics ; Transcription Factor RelA/metabolism ; Transcription Factors/*metabolism
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  • 9
    Publication Date: 2013-11-12
    Description: Myocardial infarction, a leading cause of death in the Western world, usually occurs when the fibrous cap overlying an atherosclerotic plaque in a coronary artery ruptures. The resulting exposure of blood to the atherosclerotic material then triggers thrombus formation, which occludes the artery. The importance of genetic predisposition to coronary artery disease and myocardial infarction is best documented by the predictive value of a positive family history. Next-generation sequencing in families with several affected individuals has revolutionized mutation identification. Here we report the segregation of two private, heterozygous mutations in two functionally related genes, GUCY1A3 (p.Leu163Phefs*24) and CCT7 (p.Ser525Leu), in an extended myocardial infarction family. GUCY1A3 encodes the alpha1 subunit of soluble guanylyl cyclase (alpha1-sGC), and CCT7 encodes CCTeta, a member of the tailless complex polypeptide 1 ring complex, which, among other functions, stabilizes soluble guanylyl cyclase. After stimulation with nitric oxide, soluble guanylyl cyclase generates cGMP, which induces vasodilation and inhibits platelet activation. We demonstrate in vitro that mutations in both GUCY1A3 and CCT7 severely reduce alpha1-sGC as well as beta1-sGC protein content, and impair soluble guanylyl cyclase activity. Moreover, platelets from digenic mutation carriers contained less soluble guanylyl cyclase protein and consequently displayed reduced nitric-oxide-induced cGMP formation. Mice deficient in alpha1-sGC protein displayed accelerated thrombus formation in the microcirculation after local trauma. Starting with a severely affected family, we have identified a link between impaired soluble-guanylyl-cyclase-dependent nitric oxide signalling and myocardial infarction risk, possibly through accelerated thrombus formation. Reversing this defect may provide a new therapeutic target for reducing the risk of myocardial infarction.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Erdmann, Jeanette -- Stark, Klaus -- Esslinger, Ulrike B -- Rumpf, Philipp Moritz -- Koesling, Doris -- de Wit, Cor -- Kaiser, Frank J -- Braunholz, Diana -- Medack, Anja -- Fischer, Marcus -- Zimmermann, Martina E -- Tennstedt, Stephanie -- Graf, Elisabeth -- Eck, Sebastian -- Aherrahrou, Zouhair -- Nahrstaedt, Janja -- Willenborg, Christina -- Bruse, Petra -- Braenne, Ingrid -- Nothen, Markus M -- Hofmann, Per -- Braund, Peter S -- Mergia, Evanthia -- Reinhard, Wibke -- Burgdorf, Christof -- Schreiber, Stefan -- Balmforth, Anthony J -- Hall, Alistair S -- Bertram, Lars -- Steinhagen-Thiessen, Elisabeth -- Li, Shu-Chen -- Marz, Winfried -- Reilly, Muredach -- Kathiresan, Sekar -- McPherson, Ruth -- Walter, Ulrich -- CARDIoGRAM -- Ott, Jurg -- Samani, Nilesh J -- Strom, Tim M -- Meitinger, Thomas -- Hengstenberg, Christian -- Schunkert, Heribert -- British Heart Foundation/United Kingdom -- England -- Nature. 2013 Dec 19;504(7480):432-6. doi: 10.1038/nature12722. Epub 2013 Nov 10.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Institut fur Integrative und Experimentelle Genomik, Universitat zu Lubeck, 23562 Lubeck, Germany [2] German Centre for Cardiovascular Research (DZHK), partner site Hamburg/Lubeck/Kiel, 23562 Lubeck, Germany [3]. ; 1] Klinik und Poliklinik fur Innere Medizin II, Universitatsklinikum Regensburg, 93053 Regensburg, Germany [2] Department of Genetic Epidemiology, University of Regensburg, 93053 Regensburg, Germany [3]. ; 1] Klinik und Poliklinik fur Innere Medizin II, Universitatsklinikum Regensburg, 93053 Regensburg, Germany [2] Institut National de la Sante et de la Recherche Medicale (INSERM), UMR-S937 Paris, France [3]. ; 1] Deutsches Herzzentrum Munchen and 1. Medizinische Klinik, Klinikum rechts der Isar, Technische Universitat Munchen, 80636 Munchen, Germany [2] German Centre for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, 80636 Munich, Germany [3]. ; Department of Pharmacology and Toxicology, Ruhr-University Bochum, 44801 Bochum, Germany. ; 1] German Centre for Cardiovascular Research (DZHK), partner site Hamburg/Lubeck/Kiel, 23562 Lubeck, Germany [2] Institut fur Physiologie, Universitat zu Lubeck, 23562 Lubeck, Germany. ; 1] German Centre for Cardiovascular Research (DZHK), partner site Hamburg/Lubeck/Kiel, 23562 Lubeck, Germany [2] Institut fur Humangenetik, Universitat zu Lubeck, 23562 Lubeck, Germany. ; Institut fur Humangenetik, Universitat zu Lubeck, 23562 Lubeck, Germany. ; Institut fur Integrative und Experimentelle Genomik, Universitat zu Lubeck, 23562 Lubeck, Germany. ; Klinik und Poliklinik fur Innere Medizin II, Universitatsklinikum Regensburg, 93053 Regensburg, Germany. ; 1] Institute of Human Genetics, Helmholtz Zentrum Munchen, German Research Center for Environmental Health, 85764 Neuherberg, Germany [2] Institute of Human Genetics, Technische Universitat Munchen, 81675 Munchen, Germany. ; 1] Institut fur Integrative und Experimentelle Genomik, Universitat zu Lubeck, 23562 Lubeck, Germany [2] German Centre for Cardiovascular Research (DZHK), partner site Hamburg/Lubeck/Kiel, 23562 Lubeck, Germany. ; 1] Institute of Human Genetics, University of Bonn, 53127 Bonn, Germany [2] Department of Genomics, Research Center Life & Brain, University of Bonn, 53127 Bonn, Germany. ; 1] Institute of Human Genetics, University of Bonn, 53127 Bonn, Germany [2] Division of Medical Genetics, University Hospital Basel and Department of Biomedicine, University of Basel, 4003 Basel, Switzerland. ; 1] Department of Cardiovascular Sciences, University of Leicester, Leicester LE1 7RH, UK [2] Leicester National Institute for Health Research Biomedical Research Unit in Cardiovascular Disease, Glenfield Hospital, Leicester LE1 7RH, UK. ; 1] Deutsches Herzzentrum Munchen and 1. Medizinische Klinik, Klinikum rechts der Isar, Technische Universitat Munchen, 80636 Munchen, Germany [2] German Centre for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, 80636 Munich, Germany. ; Deutsches Herzzentrum Munchen and 1. Medizinische Klinik, Klinikum rechts der Isar, Technische Universitat Munchen, 80636 Munchen, Germany. ; Institute of Clinical Molecular Biology, Christian-Albrecht-Universitat, 24105 Kiel, Germany. ; Division of Cardiovascular and Diabetes Research, Multidisciplinary Cardiovascular Research Centre, Leeds Institute of Genetics, Health and Therapeutics, University of Leeds, Leeds LS2 9JT, UK. ; Division of Cardiovascular and Neuronal Remodelling, Multidisciplinary Cardiovascular Research Centre, Leeds Institute of Genetics, Health and Therapeutics, University of Leeds, Leeds LS2 9JT, UK. ; Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany. ; Charite Research Group on Geriatrics, Charite-Universitatsmedizin, 10117 Berlin, Germany. ; 1] Center for Lifespan Psychology, Max Planck Institute for Human Development, 14195 Berlin, Germany [2] Department of Psychology, TU Dresden, 01062 Dresden, Germany. ; 1] Synlab Academy and Business Development, synlab Services GmbH, 68165 Mannheim, Germany [2] Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, 8036 Graz, Austria [3] Medical Clinic V, Medical Faculty Mannheim, University of Heidelberg, 68167 Mannheim, Germany. ; The Cardiovascular Institute, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. ; 1] Cardiovascular Research Center and Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts 02215, USA [2] Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02215, USA [3] Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02215, USA. ; University of Ottawa, Heart Institute, Ottawa, Ontario K1Y 4W7, Canada. ; 1] Centrum fur Thrombose und Hamostase (CTH), Universitatsmedizin Mainz, 55131 Mainz, Germany [2] German Centre for Cardiovascular Research (DZHK), partner site RheinMain, 55131 Mainz, Germany. ; 1] Institute of Psychology, Chinese Academy of Sciences, Beijing 100864, China [2] Laboratory of Statistical Genetics, Rockefeller University, New York 10065, USA. ; 1] Deutsches Herzzentrum Munchen and 1. Medizinische Klinik, Klinikum rechts der Isar, Technische Universitat Munchen, 80636 Munchen, Germany [2] Institute of Human Genetics, Helmholtz Zentrum Munchen, German Research Center for Environmental Health, 85764 Neuherberg, Germany [3] Institute of Human Genetics, Technische Universitat Munchen, 81675 Munchen, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24213632" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Chaperonin Containing TCP-1/genetics/metabolism ; Cyclic GMP/metabolism ; Disease Susceptibility/*metabolism ; Exome/genetics ; Female ; Genetic Predisposition to Disease ; Guanylate Cyclase/deficiency/genetics/metabolism ; HEK293 Cells ; Humans ; Male ; Mice ; Mutation/genetics ; Myocardial Infarction/genetics/*metabolism/physiopathology ; Nitric Oxide/*metabolism ; Pedigree ; Platelet Activation ; Receptors, Cytoplasmic and Nuclear/deficiency/genetics/metabolism ; Reproducibility of Results ; *Signal Transduction ; Solubility ; Thrombosis/metabolism ; Vasodilation
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  • 10
    Publication Date: 2013-07-05
    Description: We have taken the first steps towards a complete reconstruction of the Mycobacterium tuberculosis regulatory network based on ChIP-Seq and combined this reconstruction with system-wide profiling of messenger RNAs, proteins, metabolites and lipids during hypoxia and re-aeration. Adaptations to hypoxia are thought to have a prominent role in M. tuberculosis pathogenesis. Using ChIP-Seq combined with expression data from the induction of the same factors, we have reconstructed a draft regulatory network based on 50 transcription factors. This network model revealed a direct interconnection between the hypoxic response, lipid catabolism, lipid anabolism and the production of cell wall lipids. As a validation of this model, in response to oxygen availability we observe substantial alterations in lipid content and changes in gene expression and metabolites in corresponding metabolic pathways. The regulatory network reveals transcription factors underlying these changes, allows us to computationally predict expression changes, and indicates that Rv0081 is a regulatory hub.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4087036/" 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/PMC4087036/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Galagan, James E -- Minch, Kyle -- Peterson, Matthew -- Lyubetskaya, Anna -- Azizi, Elham -- Sweet, Linsday -- Gomes, Antonio -- Rustad, Tige -- Dolganov, Gregory -- Glotova, Irina -- Abeel, Thomas -- Mahwinney, Chris -- Kennedy, Adam D -- Allard, Rene -- Brabant, William -- Krueger, Andrew -- Jaini, Suma -- Honda, Brent -- Yu, Wen-Han -- Hickey, Mark J -- Zucker, Jeremy -- Garay, Christopher -- Weiner, Brian -- Sisk, Peter -- Stolte, Christian -- Winkler, Jessica K -- Van de Peer, Yves -- Iazzetti, Paul -- Camacho, Diogo -- Dreyfuss, Jonathan -- Liu, Yang -- Dorhoi, Anca -- Mollenkopf, Hans-Joachim -- Drogaris, Paul -- Lamontagne, Julie -- Zhou, Yiyong -- Piquenot, Julie -- Park, Sang Tae -- Raman, Sahadevan -- Kaufmann, Stefan H E -- Mohney, Robert P -- Chelsky, Daniel -- Moody, D Branch -- Sherman, David R -- Schoolnik, Gary K -- HHSN272200800059C/AI/NIAID NIH HHS/ -- HHSN272200800059C/PHS HHS/ -- R01 AI 071155/AI/NIAID NIH HHS/ -- R01 AI071155/AI/NIAID NIH HHS/ -- U19 AI 076217/AI/NIAID NIH HHS/ -- U19 AI076217/AI/NIAID NIH HHS/ -- England -- Nature. 2013 Jul 11;499(7457):178-83. doi: 10.1038/nature12337. Epub 2013 Jul 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, USA. jgalag@bu.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23823726" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptation, Physiological ; Anoxia/*genetics/metabolism ; Bacterial Proteins/genetics/metabolism ; Binding Sites ; Chromatin Immunoprecipitation ; Gene Expression Profiling ; *Gene Regulatory Networks/genetics ; Genomics ; Lipid Metabolism/genetics ; Metabolic Networks and Pathways/*genetics ; Models, Biological ; Mycobacterium tuberculosis/drug effects/*genetics/*metabolism/physiology ; Oxygen/pharmacology ; Proteolysis ; RNA, Messenger/genetics/metabolism ; Reproducibility of Results ; Sequence Analysis, DNA ; Transcription Factors/genetics/metabolism ; Tuberculosis/metabolism/microbiology
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