Metabolome progression during early gut microbial colonization of gnotobiotic mice
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Tahir Yusufaly | George I. Mias | Tahir I Yusufaly | Justin L. Sonnenburg | G. Mias | J. Sonnenburg | A. Marcobal | S. Higginbottom | M. Snyder | Angela Marcobal | Steven Higginbottom | Michael Snyder
[1] S. Massart,et al. Impact of diet in shaping gut microbiota revealed by a comparative study in children from Europe and rural Africa , 2010, Proceedings of the National Academy of Sciences.
[2] U. Gophna,et al. Differences between Tissue-Associated Intestinal Microfloras of Patients with Crohn's Disease and Ulcerative Colitis , 2006, Journal of Clinical Microbiology.
[3] J. Faith,et al. Dissecting the in Vivo Metabolic Potential of Two Human Gut Acetogens , 2010, The Journal of Biological Chemistry.
[4] R. Wilson,et al. Genomic and metabolic adaptations of Methanobrevibacter smithii to the human gut , 2007, Proceedings of the National Academy of Sciences.
[5] Ian D Wilson,et al. Analytical strategies in metabonomics. , 2007, Journal of proteome research.
[6] Winston Haynes,et al. Integrative Analysis of Longitudinal Metabolomics Data from a Personal Multi-Omics Profile , 2013, Metabolites.
[7] J. Faith,et al. Predicting a Human Gut Microbiota’s Response to Diet in Gnotobiotic Mice , 2011, Science.
[8] A. Luch,et al. Insights on the human microbiome and its xenobiotic metabolism: what is known about its effects on human physiology? , 2015, Expert opinion on drug metabolism & toxicology.
[9] J. Stockman,et al. Metabolic Syndrome and Altered Gut Microbiota in Mice Lacking Toll-Like Receptor 5 , 2012 .
[10] I. Adlerberth,et al. Establishment of the gut microbiota in Western infants , 2009, Acta paediatrica.
[11] W. R. Wikoff,et al. Metabolomics analysis reveals large effects of gut microflora on mammalian blood metabolites , 2009, Proceedings of the National Academy of Sciences.
[12] Bernard Henrissat,et al. Characterizing a model human gut microbiota composed of members of its two dominant bacterial phyla , 2009, Proceedings of the National Academy of Sciences.
[13] W. D. de Vos,et al. Metaproteomics Approach To Study the Functionality of the Microbiota in the Human Infant Gastrointestinal Tract , 2006, Applied and Environmental Microbiology.
[14] Elaine Holmes,et al. Systemic multicompartmental effects of the gut microbiome on mouse metabolic phenotypes , 2008, Molecular systems biology.
[15] M. Kleerebezem,et al. Convergence in probiotic Lactobacillus gut-adaptive responses in humans and mice , 2010, The ISME Journal.
[16] D. Baird,et al. Development of gut microbiota in infants not exposed to medical interventions , 2011, APMIS : acta pathologica, microbiologica, et immunologica Scandinavica.
[17] M. Fischbach,et al. A metabolomic view of how the human gut microbiota impacts the host metabolome using humanized and gnotobiotic mice , 2013, The ISME Journal.
[18] Y. Benno,et al. Impact of Intestinal Microbiota on Intestinal Luminal Metabolome , 2012, Scientific Reports.
[19] Robert Burke,et al. ProteoWizard: open source software for rapid proteomics tools development , 2008, Bioinform..
[20] Intawat Nookaew,et al. Understanding the interactions between bacteria in the human gut through metabolic modeling , 2013, Scientific Reports.
[21] J. Clemente,et al. Human gut microbiome viewed across age and geography , 2012, Nature.
[22] L. T. Angenent,et al. Succession of microbial consortia in the developing infant gut microbiome , 2010, Proceedings of the National Academy of Sciences.
[23] Katherine H. Huang,et al. The Human Microbiome Project: A Community Resource for the Healthy Human Microbiome , 2012, PLoS biology.
[24] G. Musso,et al. Interactions between gut microbiota and host metabolism predisposing to obesity and diabetes. , 2011, Annual review of medicine.
[25] Bas E Dutilh,et al. Pharmacomicrobiomics: the impact of human microbiome variations on systems pharmacology and personalized therapeutics. , 2014, Omics : a journal of integrative biology.
[26] W. Whitman,et al. Prokaryotes: the unseen majority. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[27] Dirk C. Keene. Acknowledgements , 1975 .
[28] F. Bäckhed,et al. Obesity alters gut microbial ecology. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[29] R. Ley,et al. Ecological and Evolutionary Forces Shaping Microbial Diversity in the Human Intestine , 2006, Cell.
[30] E. Mardis,et al. An obesity-associated gut microbiome with increased capacity for energy harvest , 2006, Nature.
[31] M Sandler,et al. Gut flora and the origin of some urinary aromatic phenolic compounds. , 1994, Biochemical pharmacology.
[32] J. Sonnenburg,et al. Specificity of Polysaccharide Use in Intestinal Bacteroides Species Determines Diet-Induced Microbiota Alterations , 2010, Cell.
[33] J. Sonnenburg,et al. Starving our microbial self: the deleterious consequences of a diet deficient in microbiota-accessible carbohydrates. , 2014, Cell metabolism.
[34] Y. Sanz,et al. Imbalance in the composition of the duodenal microbiota of children with coeliac disease. , 2007, Journal of medical microbiology.
[35] Howard Ochman,et al. Comparative Metagenomics and Population Dynamics of the Gut Microbiota in Mother and Infant , 2010, Genome biology and evolution.
[36] Edward R. Dougherty,et al. Detecting Periodic Genes from Irregularly Sampled Gene Expressions: A Comparison Study , 2008, EURASIP J. Bioinform. Syst. Biol..
[37] J. Gordon,et al. Genomic and Metabolic Studies of the Impact of Probiotics on a Model Gut Symbiont and Host , 2006, PLoS biology.
[38] J. Doré,et al. Temporal and spatial interplay of microbiota and intestinal mucosa drive establishment of immune homeostasis in conventionalized mice , 2012, Mucosal Immunology.
[39] Jens Nielsen,et al. Elucidating the interactions between the human gut microbiota and its host through metabolic modeling , 2014, Front. Genet..
[40] George I. Mias,et al. Personal genomes, quantitative dynamic omics and personalized medicine , 2013, Quantitative Biology.
[41] B. Jung,et al. Investigation of endogenous metabolic changes in the urine of pseudo germ-free rats using a metabolomic approach. , 2012, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.
[42] Hiroyuki Ogata,et al. KEGG: Kyoto Encyclopedia of Genes and Genomes , 1999, Nucleic Acids Res..
[43] E. Want,et al. Global metabolic profiling procedures for urine using UPLC–MS , 2010, Nature Protocols.
[44] Zerihun T. Dame,et al. The Human Urine Metabolome , 2013, PloS one.
[45] J. Doré,et al. Gut bacteria–host metabolic interplay during conventionalisation of the mouse germfree colon , 2012, The ISME Journal.
[46] V. Tremaroli,et al. Functional interactions between the gut microbiota and host metabolism , 2012, Nature.
[47] J. Scargle. Studies in astronomical time series analysis. III - Fourier transforms, autocorrelation functions, and cross-correlation functions of unevenly spaced data , 1989 .
[48] E. Zoetendal,et al. The environment within: how gut microbiota may influence metabolism and body composition , 2010, Diabetologia.
[49] Jeremy K Nicholson,et al. NMR spectroscopic-based metabonomic studies of urinary metabolite variation in acclimatizing germ-free rats. , 2003, Chemical research in toxicology.
[50] H P Van Dongen,et al. A procedure of multiple period searching in unequally spaced time-series with the Lomb-Scargle method. , 1999, Biological rhythm research.
[51] J. Nicholson,et al. Dietary modulation of gut functional ecology studied by fecal metabonomics. , 2010, Journal of proteome research.
[52] Jie Chen,et al. Bioinformatics Original Paper Detecting Periodic Patterns in Unevenly Spaced Gene Expression Time Series Using Lomb–scargle Periodograms , 2022 .
[53] J. Segre,et al. The human microbiome: our second genome. , 2012, Annual review of genomics and human genetics.
[54] P. Gregory. Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica® Support , 2005 .
[55] S. Ravi. Bayesian Logical Data Analysis for the Physical Sciences: a Comparative Approach with Mathematica® Support , 2007 .
[56] Hugo Y. K. Lam,et al. Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes , 2012, Cell.
[57] H. Ashrafian,et al. Understanding the role of gut microbiome-host metabolic signal disruption in health and disease. , 2011, Trends in microbiology.
[58] K. Hocke. Phase estimation with the Lomb-Scargle periodogram method , 1998 .
[59] George M. Weinstock,et al. Genomic approaches to studying the human microbiota , 2012, Nature.
[60] N. Lomb. Least-squares frequency analysis of unequally spaced data , 1976 .
[61] Qiang Feng,et al. A metagenome-wide association study of gut microbiota in type 2 diabetes , 2012, Nature.
[62] Chris F. Taylor,et al. A common open representation of mass spectrometry data and its application to proteomics research , 2004, Nature Biotechnology.
[63] J. Scargle. Studies in astronomical time series analysis. II - Statistical aspects of spectral analysis of unevenly spaced data , 1982 .
[64] Daniel B. DiGiulio,et al. Development of the Human Infant Intestinal Microbiota , 2007, PLoS biology.
[65] B. Haas,et al. A Catalog of Reference Genomes from the Human Microbiome , 2010, Science.
[66] Alison S. Waller,et al. Genomic variation landscape of the human gut microbiome , 2012, Nature.
[67] F. Collins,et al. A new initiative on precision medicine. , 2015, The New England journal of medicine.
[68] J. Gordon,et al. A humanized gnotobiotic mouse model of host-archaeal-bacterial mutualism. , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[69] Ilya Shmulevich,et al. Robust regression for periodicity detection in non-uniformly sampled time-course gene expression data , 2007, BMC Bioinformatics.
[70] J. Gordon,et al. Functional Genomic and Metabolic Studies of the Adaptations of a Prominent Adult Human Gut Symbiont, Bacteroides thetaiotaomicron, to the Suckling Period* , 2006, Journal of Biological Chemistry.
[71] K. Hocke,et al. Gap filling and noise reduction of unevenly sampled data by means of the Lomb-Scargle periodogram , 2008 .
[72] R. Abagyan,et al. XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification. , 2006, Analytical chemistry.
[73] H. Flint,et al. Role of the gut microbiota in nutrition and health , 2018, British Medical Journal.
[74] Chen Zhang,et al. LSPR: an integrated periodicity detection algorithm for unevenly sampled temporal microarray data , 2011, Bioinform..
[75] Philip C. Gregory,et al. Bayesian Logical Data Analysis for the Physical Sciences: Acknowledgements , 2005 .
[76] Katherine H. Huang,et al. Structure, Function and Diversity of the Healthy Human Microbiome , 2012, Nature.
[77] M Schimmel,et al. Emphasizing Difficulties in the Detection of Rhythms with Lomb-Scargle Periodograms , 2001, Biological rhythm research.
[78] Katherine H. Huang,et al. A framework for human microbiome research , 2012, Nature.
[79] H P Van Dongen,et al. Letter to the Editor: Analysis of Problematic Time Series with the LombÐScargle Method, A Reply to ‘Emphasizing Difficulties in the Detection of Rhythms with LombÐScargle Periodograms’ , 2001, Biological rhythm research.