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  • 1
    Publication Date: 2012-03-14
    Description: An approach to infer the unknown microbial population structure within a metagenome is to cluster nucleotide sequences based on common patterns in base composition, otherwise referred to as binning. When functional roles are assigned to the identified populations, a deeper understanding of microbial communities can be attained, more so than gene-centric approaches that explore overall functionality. In this study, we propose an unsupervised, model-based binning method with two clustering tiers, which uses a novel transformation of the oligonucleotide frequency-derived error gradient and GC content to generate coarse groups at the first tier of clustering; and tetranucleotide frequency to refine these groups at the secondary clustering tier. The proposed method has a demonstrated improvement over PhyloPythia, S-GSOM, TACOA and TaxSOM on all three benchmarks that were used for evaluation in this study. The proposed method is then applied to a pyrosequenced metagenomic library of mud volcano sediment sampled in southwestern Taiwan, with the inferred population structure validated against complementary sequencing of 16S ribosomal RNA marker genes. Finally, the proposed method was further validated against four publicly available metagenomes, including a highly complex Antarctic whale-fall bone sample, which was previously assumed to be too complex for binning prior to functional analysis.
    Keywords: Computational Methods, Genomics
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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  • 2
    Publication Date: 2014-09-27
    Description: Epigenetic reprogramming of myeloid cells, also known as trained immunity, confers nonspecific protection from secondary infections. Using histone modification profiles of human monocytes trained with the Candida albicans cell wall constituent beta-glucan, together with a genome-wide transcriptome, we identified the induced expression of genes involved in glucose metabolism. Trained monocytes display high glucose consumption, high lactate production, and a high ratio of nicotinamide adenine dinucleotide (NAD(+)) to its reduced form (NADH), reflecting a shift in metabolism with an increase in glycolysis dependent on the activation of mammalian target of rapamycin (mTOR) through a dectin-1-Akt-HIF-1alpha (hypoxia-inducible factor-1alpha) pathway. Inhibition of Akt, mTOR, or HIF-1alpha blocked monocyte induction of trained immunity, whereas the adenosine monophosphate-activated protein kinase activator metformin inhibited the innate immune response to fungal infection. Mice with a myeloid cell-specific defect in HIF-1alpha were unable to mount trained immunity against bacterial sepsis. Our results indicate that induction of aerobic glycolysis through an Akt-mTOR-HIF-1alpha pathway represents the metabolic basis of trained immunity.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4226238/" 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/PMC4226238/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Cheng, Shih-Chin -- Quintin, Jessica -- Cramer, Robert A -- Shepardson, Kelly M -- Saeed, Sadia -- Kumar, Vinod -- Giamarellos-Bourboulis, Evangelos J -- Martens, Joost H A -- Rao, Nagesha Appukudige -- Aghajanirefah, Ali -- Manjeri, Ganesh R -- Li, Yang -- Ifrim, Daniela C -- Arts, Rob J W -- van der Veer, Brian M J W -- Deen, Peter M T -- Logie, Colin -- O'Neill, Luke A -- Willems, Peter -- van de Veerdonk, Frank L -- van der Meer, Jos W M -- Ng, Aylwin -- Joosten, Leo A B -- Wijmenga, Cisca -- Stunnenberg, Hendrik G -- Xavier, Ramnik J -- Netea, Mihai G -- 1P30GM106394-01/GM/NIGMS NIH HHS/ -- 5P30GM103415-03/GM/NIGMS NIH HHS/ -- DK097485/DK/NIDDK NIH HHS/ -- DK43351/DK/NIDDK NIH HHS/ -- P30 DK043351/DK/NIDDK NIH HHS/ -- P30 GM103415/GM/NIGMS NIH HHS/ -- P30 GM106394/GM/NIGMS NIH HHS/ -- R01 AI081838/AI/NIAID NIH HHS/ -- R01 DK097485/DK/NIDDK NIH HHS/ -- R01AI81838/AI/NIAID NIH HHS/ -- New York, N.Y. -- Science. 2014 Sep 26;345(6204):1250684. doi: 10.1126/science.1250684.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Internal Medicine, Radboud University Medical Center, 6525 GA Nijmegen, Netherlands. ; Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA. ; Department of Molecular Biology, Faculties of Science and Medicine, Nijmegen Centre for Molecular Life Sciences, Radboud University, 6500 HB Nijmegen, Netherlands. ; Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, Netherlands. ; 4th Department of Internal Medicine, University of Athens Medical School, 12462 Athens, Greece. ; Department of Biochemistry, Faculties of Science and Medicine, Nijmegen Centre for Molecular Life Sciences, Radboud University, 6500 HB Nijmegen, Netherlands. ; Department of Physiology, Radboud University Medical Center, 6525 GA Nijmegen, Netherlands. ; School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin 2, Ireland. ; Center for Computational and Integrative Biology and Gastrointestinal Unit, Massachusetts General Hospital, Harvard School of Medicine, Boston, MA 02114, USA. Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. ; Department of Internal Medicine, Radboud University Medical Center, 6525 GA Nijmegen, Netherlands. mihai.netea@radboudumc.nl.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25258083" target="_blank"〉PubMed〈/a〉
    Keywords: Aerobiosis/immunology ; Animals ; Candida albicans/immunology ; Candidiasis/immunology/metabolism ; Disease Models, Animal ; *Epigenesis, Genetic ; Female ; Glucose/metabolism ; Glycolysis/*immunology ; Humans ; Hypoxia-Inducible Factor 1, alpha Subunit/genetics/*metabolism ; Immunity, Innate/*genetics ; Immunologic Memory/*genetics ; Male ; Mice ; Mice, Inbred C57BL ; Monocytes/*immunology/metabolism ; Sepsis/genetics/immunology/metabolism ; Staphylococcal Infections/immunology/metabolism ; Staphylococcus aureus ; TOR Serine-Threonine Kinases/genetics/*metabolism ; Transcriptome ; beta-Glucans/immunology
    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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