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  • 1
    Publication Date: 2007-02-03
    Description: The taxonomic composition of environmental communities is an important indicator of their ecology and function. We used a set of protein-coding marker genes, extracted from large-scale environmental shotgun sequencing data, to provide a more direct, quantitative, and accurate picture of community composition than that provided by traditional ribosomal RNA-based approaches depending on the polymerase chain reaction. Mapping marker genes from four diverse environmental data sets onto a reference species phylogeny shows that certain communities evolve faster than others. The method also enables determination of preferred habitats for entire microbial clades and provides evidence that such habitat preferences are often remarkably stable over time.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉von Mering, C -- Hugenholtz, P -- Raes, J -- Tringe, S G -- Doerks, T -- Jensen, L J -- Ward, N -- Bork, P -- New York, N.Y. -- Science. 2007 Feb 23;315(5815):1126-30. Epub 2007 Feb 1.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17272687" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Bacteria/*classification/genetics ; Biological Evolution ; Bone and Bones/microbiology ; *Ecosystem ; *Environmental Microbiology ; Genes, Bacterial ; Genes, rRNA ; Genetic Markers ; *Genomics ; Likelihood Functions ; Mining ; *Phylogeny ; Seawater/microbiology ; Soil Microbiology ; Water Microbiology ; Whales/microbiology
    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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  • 2
    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
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  • 3
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 2008-10-04
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Jensen, Lars Juhl -- Bork, Peer -- New York, N.Y. -- Science. 2008 Oct 3;322(5898):56-7. doi: 10.1126/science.1164801.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉European Molecular Biology Laboratory, D-69117 Heidelberg, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18832636" target="_blank"〉PubMed〈/a〉
    Keywords: Computational Biology ; Metabolic Networks and Pathways ; Protein Interaction Mapping/*methods ; Saccharomyces cerevisiae/*metabolism ; Saccharomyces cerevisiae Proteins/isolation & purification/*metabolism ; Two-Hybrid System Techniques
    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: 2011-10-25
    Description: The tip of a projectile point made of mastodon bone is embedded in a rib of a single disarticulated mastodon at the Manis site in the state of Washington. Radiocarbon dating and DNA analysis show that the rib is associated with the other remains and dates to 13,800 years ago. Thus, osseous projectile points, common to the Beringian Upper Paleolithic and Clovis, were made and used during pre-Clovis times in North America. The Manis site, combined with evidence of mammoth hunting at sites in Wisconsin, provides evidence that people were hunting proboscideans at least two millennia before Clovis.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Waters, Michael R -- Stafford, Thomas W Jr -- McDonald, H Gregory -- Gustafson, Carl -- Rasmussen, Morten -- Cappellini, Enrico -- Olsen, Jesper V -- Szklarczyk, Damian -- Jensen, Lars Juhl -- Gilbert, M Thomas P -- Willerslev, Eske -- New York, N.Y. -- Science. 2011 Oct 21;334(6054):351-3. doi: 10.1126/science.1207663.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for the Study of the First Americans, Department of Anthropology, Texas A&M University, 4352 TAMU, College Station, TX 77843-4352, USA. mwaters@tamu.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22021854" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Archaeology ; Bone and Bones ; Geologic Sediments ; History, Ancient ; Humans ; Male ; *Mastodons ; Radiometric Dating ; Time ; Washington ; Weapons/*history
    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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  • 5
    Publication Date: 2005-02-05
    Description: To analyze the dynamics of protein complexes during the yeast cell cycle, we integrated data on protein interactions and gene expression. The resulting time-dependent interaction network places both periodically and constitutively expressed proteins in a temporal cell cycle context, thereby revealing previously unknown components and modules. We discovered that most complexes consist of both periodically and constitutively expressed subunits, which suggests that the former control complex activity by a mechanism of just-in-time assembly. Consistent with this, we show that additional regulation through targeted degradation and phosphorylation by Cdc28p (Cdk1) specifically affects the periodically expressed proteins.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉de Lichtenberg, Ulrik -- Jensen, Lars Juhl -- Brunak, Soren -- Bork, Peer -- New York, N.Y. -- Science. 2005 Feb 4;307(5710):724-7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Biological Sequence Analysis, Technical University of Denmark, DK-2800 Lyngby, Denmark.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15692050" target="_blank"〉PubMed〈/a〉
    Keywords: CDC28 Protein Kinase, S cerevisiae/metabolism ; *Cell Cycle ; Cell Cycle Proteins/genetics/*metabolism ; Cyclins/metabolism ; Cytoskeleton/metabolism ; DNA Repair ; DNA Replication ; Gene Expression Regulation, Fungal ; Genes, Fungal ; *Mitosis ; Oligonucleotide Array Sequence Analysis ; Phosphorylation ; Protein Interaction Mapping ; Protein Subunits/metabolism ; Saccharomyces cerevisiae/*cytology/genetics/*metabolism ; Saccharomyces cerevisiae Proteins/genetics/*metabolism ; 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
    Publication Date: 2013-06-28
    Description: The rich fossil record of equids has made them a model for evolutionary processes. Here we present a 1.12-times coverage draft genome from a horse bone recovered from permafrost dated to approximately 560-780 thousand years before present (kyr BP). Our data represent the oldest full genome sequence determined so far by almost an order of magnitude. For comparison, we sequenced the genome of a Late Pleistocene horse (43 kyr BP), and modern genomes of five domestic horse breeds (Equus ferus caballus), a Przewalski's horse (E. f. przewalskii) and a donkey (E. asinus). Our analyses suggest that the Equus lineage giving rise to all contemporary horses, zebras and donkeys originated 4.0-4.5 million years before present (Myr BP), twice the conventionally accepted time to the most recent common ancestor of the genus Equus. We also find that horse population size fluctuated multiple times over the past 2 Myr, particularly during periods of severe climatic changes. We estimate that the Przewalski's and domestic horse populations diverged 38-72 kyr BP, and find no evidence of recent admixture between the domestic horse breeds and the Przewalski's horse investigated. This supports the contention that Przewalski's horses represent the last surviving wild horse population. We find similar levels of genetic variation among Przewalski's and domestic populations, indicating that the former are genetically viable and worthy of conservation efforts. We also find evidence for continuous selection on the immune system and olfaction throughout horse evolution. Finally, we identify 29 genomic regions among horse breeds that deviate from neutrality and show low levels of genetic variation compared to the Przewalski's horse. Such regions could correspond to loci selected early during domestication.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Orlando, Ludovic -- Ginolhac, Aurelien -- Zhang, Guojie -- Froese, Duane -- Albrechtsen, Anders -- Stiller, Mathias -- Schubert, Mikkel -- Cappellini, Enrico -- Petersen, Bent -- Moltke, Ida -- Johnson, Philip L F -- Fumagalli, Matteo -- Vilstrup, Julia T -- Raghavan, Maanasa -- Korneliussen, Thorfinn -- Malaspinas, Anna-Sapfo -- Vogt, Josef -- Szklarczyk, Damian -- Kelstrup, Christian D -- Vinther, Jakob -- Dolocan, Andrei -- Stenderup, Jesper -- Velazquez, Amhed M V -- Cahill, James -- Rasmussen, Morten -- Wang, Xiaoli -- Min, Jiumeng -- Zazula, Grant D -- Seguin-Orlando, Andaine -- Mortensen, Cecilie -- Magnussen, Kim -- Thompson, John F -- Weinstock, Jacobo -- Gregersen, Kristian -- Roed, Knut H -- Eisenmann, Vera -- Rubin, Carl J -- Miller, Donald C -- Antczak, Douglas F -- Bertelsen, Mads F -- Brunak, Soren -- Al-Rasheid, Khaled A S -- Ryder, Oliver -- Andersson, Leif -- Mundy, John -- Krogh, Anders -- Gilbert, M Thomas P -- Kjaer, Kurt -- Sicheritz-Ponten, Thomas -- Jensen, Lars Juhl -- Olsen, Jesper V -- Hofreiter, Michael -- Nielsen, Rasmus -- Shapiro, Beth -- Wang, Jun -- Willerslev, Eske -- RC2 HG005598/HG/NHGRI NIH HHS/ -- England -- Nature. 2013 Jul 4;499(7456):74-8. doi: 10.1038/nature12323. Epub 2013 Jun 26.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Oster Voldgade 5-7, 1350 Copenhagen K, Denmark. Lorlando@snm.ku.dk〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23803765" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Conservation of Natural Resources ; DNA/analysis/genetics ; Endangered Species ; Equidae/classification/genetics ; *Evolution, Molecular ; Fossils ; Genetic Variation/genetics ; Genome/*genetics ; History, Ancient ; Horses/classification/*genetics ; *Phylogeny ; Proteins/analysis/chemistry/genetics ; Yukon Territory
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 7
    Publication Date: 2014-01-29
    Description: Motivation: MicroRNAs (miRNAs) are a highly abundant class of non-coding RNA genes involved in cellular regulation and thus also diseases. Despite miRNAs being important disease factors, miRNA–disease associations remain low in number and of variable reliability. Furthermore, existing databases and prediction methods do not explicitly facilitate forming hypotheses about the possible molecular causes of the association, thereby making the path to experimental follow-up longer. Results: Here we present miRPD in which miRNA–Protein–Disease associations are explicitly inferred. Besides linking miRNAs to diseases, it directly suggests the underlying proteins involved, which can be used to form hypotheses that can be experimentally tested. The inference of miRNAs and diseases is made by coupling known and predicted miRNA–protein associations with protein–disease associations text mined from the literature. We present scoring schemes that allow us to rank miRNA–disease associations inferred from both curated and predicted miRNA targets by reliability and thereby to create high- and medium-confidence sets of associations. Analyzing these, we find statistically significant enrichment for proteins involved in pathways related to cancer and type I diabetes mellitus, suggesting either a literature bias or a genuine biological trend. We show by example how the associations can be used to extract proteins for disease hypothesis. Availability and implementation: All datasets, software and a searchable Web site are available at http://mirpd.jensenlab.org . Contact: lars.juhl.jensen@cpr.ku.dk or gorodkin@rth.dk
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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  • 8
    Publication Date: 2017-01-05
    Description: The ‘druggable genome’ encompasses several protein families, but only a subset of targets within them have attracted significant research attention and thus have information about them publicly available. The Illuminating the Druggable Genome (IDG) program was initiated in 2014, has the goal of developing experimental techniques and a Knowledge Management Center (KMC) that would collect and organize information about protein targets from four families, representing the most common druggable targets with an emphasis on understudied proteins. Here, we describe two resources developed by the KMC: the Target Central Resource Database (TCRD) which collates many heterogeneous gene/protein datasets and Pharos ( https://pharos.nih.gov ), a multimodal web interface that presents the data from TCRD. We briefly describe the types and sources of data considered by the KMC and then highlight features of the Pharos interface designed to enable intuitive access to the IDG knowledgebase. The aim of Pharos is to encourage ‘serendipitous browsing’, whereby related, relevant information is made easily discoverable. We conclude by describing two use cases that highlight the utility of Pharos and TCRD.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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  • 9
    Publication Date: 2015-05-16
    Description: We report Zr 1−x Gd x N thin films deposited by magnetron sputter deposition. We show a solid solubility of the highly neutron absorbing GdN into ZrN along the whole compositional range, which is in excellent agreement with our recent predictions by first-principles calculations. An oxidization study in air shows that Zr 1−x Gd x N with x reaching from 1 to close to 0 fully oxidizes, but that the oxidization is slowed down by an increased amount of ZrN or stopped by applying a capping layer of ZrN. The crystalline quality of Zr 0.5 Gd 0.5 N films increases with substrate temperatures increasing from 100 °C to 900 °C.
    Print ISSN: 0021-8979
    Electronic ISSN: 1089-7550
    Topics: Physics
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  • 10
    Publication Date: 2016-01-07
    Description: eggNOG is a public resource that provides Orthologous Groups (OGs) of proteins at different taxonomic levels, each with integrated and summarized functional annotations. Developments since the latest public release include changes to the algorithm for creating OGs across taxonomic levels, making nested groups hierarchically consistent. This allows for a better propagation of functional terms across nested OGs and led to the novel annotation of 95 890 previously uncharacterized OGs, increasing overall annotation coverage from 67% to 72%. The functional annotations of OGs have been expanded to also provide Gene Ontology terms, KEGG pathways and SMART/Pfam domains for each group. Moreover, eggNOG now provides pairwise orthology relationships within OGs based on analysis of phylogenetic trees. We have also incorporated a framework for quickly mapping novel sequences to OGs based on precomputed HMM profiles. Finally, eggNOG version 4.5 incorporates a novel data set spanning 2605 viral OGs, covering 5228 proteins from 352 viral proteomes. All data are accessible for bulk downloading, as a web-service, and through a completely redesigned web interface. The new access points provide faster searches and a number of new browsing and visualization capabilities, facilitating the needs of both experts and less experienced users. eggNOG v4.5 is available at http://eggnog.embl.de .
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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