ライフサイエンスコーパス: metabonomic

1 gene expression, genotyping, proteomics and metabonomics.

2 h particular application in metabolomics and metabonomics.

3 ion of international reporting standards for metabonomics.

4 ne of the central approaches in the field of metabonomics.

5 y of similar but not identical proteomic and metabonomic alterations in the chronic PCP rat model and

6 study presents temporal comparative (1)H NMR metabonomic analyses of filamentous phage pf1 infection

7 Proteomic and metabonomic analyses showed that the MAM treatment on E1

8 A metabonomic analysis allowed us to highlight the evoluti

9 for high-throughput targeted UPLC-ESI-MS/MS metabonomic analysis in clinical and epidemiological env

10 the NMR spectrum of honey and its classical metabonomic analysis is completely dominated by a very f

11 authors recently proposed an approach to the metabonomic analysis of biofluid mixtures based on the u

12 ethod that is well suited to high-throughput metabonomic analysis of complex mixtures such as urine c

13 Metabonomic analysis of urine from these animals reveale

14 Metabonomic analysis showed differences between sham con

15 Metabonomic analysis using 1H Magic Angle Spinning Nucle

16 NMR peaks is required to enable comparative metabonomic analysis using 2D NMR.

17 entified by nuclear magnetic resonance-based metabonomic analysis.

18 as some significant advantages over standard metabonomic analysis.

19 mbined with statistical analysis for further metabonomics analysis and biomarker identification.

20 Metabonomic analytical approaches have now been translat

21 ial will also provide opportunity to conduct metabonomic and gut microbiome studies as explorative an

22 ogical and biochemical means supplemented by metabonomic and microarray techniques.

23 591 patients participating in The Metabonomics and Genomics in Coronary Artery Disease (Ma

24 Such collections arise in metabonomics and many other applications.

25 Here a metabonomic approach based on chemometric analysis of 1H

26 This study describes the first metabonomic approach to determining biochemical modifica

27 es in biofluid composition than the standard metabonomic approach using complete 1D proton NMR spectr

28 By using a metabonomics approach (termed "NObonomics") for detailin

29 rofiles can be selectively amplified using a metabonomics approach based on the different NMR spectra

30 oney samples, a comparison of this classical metabonomics approach to one based on the use of the sel

31 n alternative and conceptually new 'pharmaco-metabonomic' approach to personalizing drug treatment, w

32 mbined immunofluorescent, transcriptomic and metabonomic approaches.

33 olic subcompartments as well as conventional metabonomics concentration-based diagnostics.

34 applied to nuclear magnetic resonance (NMR) metabonomic data sets.

35 rmation on the physicochemical variations in metabonomic data sets.

36 ers a new powerful framework for analysis of metabonomic data.

37 arized CCA and correlation analyses of urine metabonomics data and 16S rRNA gene sequencing data to i

38 ciations between specific longitudinal urine metabonomics data and microbiome data in a diet-induced

39 Integrated metabonomics data assessment methodology should facilita

40 PLS allowed us to explore longitudinal urine metabonomics data in relation to the dietary groups, as

41 riptome and nuclear magnetic resonance-based metabonomics data.

42 ection and influence statistical analysis of metabonomics data.

43 ne-expression profiling, metaproteomics, and metabonomics, differences in microbial composition and f

44 y should facilitate translation of NMR-based metabonomics discovery of human disease biomarkers to cl

45 better approximate background variation in a metabonomics experiment is presented.

46 Based on the proteomic and metabonomic findings, we were able to develop a schemati

47 tegy combining pharmacokinetics, toxicology, metabonomics, genomics, and metagenomics to elucidate an

48 Metabonomics is an advancing field in systems biology, w

49 Modern NMR-based metabonomics is elucidating contaminant toxicity and tox

50 Metabolite profiling (metabolomics/metabonomics) is a powerful means of assigning phenotype

51 identification, impurity identification, and metabonomic/metabolomic studies.

52 nd cotton ball brands be characterized using metabonomics methodologies prior to initiating a metabon

53 nimals and show that it is possible to apply metabonomics methodology to this important class of biof

54 sis of metabolic data and shows the value of metabonomic methods in the investigation of physiologica

55 Metabonomic methods utilizing (1)H NMR spectroscopy and

56 ma profiles generated by a key technology in metabonomics, NMR spectroscopy.

57 presents diagnostic potential for studies by metabonomics of mass-limited biopsies.

58 Metabonomics offers a posttranscriptional view of system

59 spectra is an important tool in large-scale metabonomic or metabolomic studies, where hundreds or ev

60 val plaque microbiota structure and salivary metabonomic profiles.

61 used functional genomic approaches including metabonomic profiling and gene expression analyses to id

62 aphy-mass spectrometry (LC-MS) proteomic and metabonomic profiling approaches on prefrontal cortex (P

63 and proton nuclear magnetic resonance-based metabonomic profiling of the rat frontal cortex after ch

64 Metabonomic profiling revealed changes in the levels of

65 Metabonomic profiling substantiated the proteomic findin

66 Metabonomic profiling techniques, with established quali

67 ating existing postgenomic data with current metabonomic results in P. aeruginosa biofilms research.

68 romatography/mass spectrometry (LC/MS) based metabonomics screening of urine has great potential for

69 onal genomic, transcriptional, proteomic and metabonomic signatures to characterize drug mechanisms a

70 fication of potential biomarker molecules in metabonomic studies based on NMR spectroscopic data.

71 Metabonomic studies implicated variations in gut microbi

72 Metabolic profiling, metabolomic and metabonomic studies mainly involve the multicomponent an

73 Metabolic profiling, metabolomic and metabonomic studies require robust study protocols for a

74 Metabonomic studies should encompass a representative "f

75 omplicates biomarker information recovery in metabonomic studies when using multivariate statistical

76 s large sample cohorts common in metabolomic/metabonomic studies, we have developed a prealignment pr

77 rs, ensuring its suitability for large scale metabonomic studies.

78 ng by 2D NMR as a routine method for various metabonomic studies.

79 across the multiple (1)H NMR spectra used in metabonomic studies.

80 ncreasing the fingerprint coverage for LC-MS metabonomic studies.

81 (MS) is increasingly being used for urinary metabonomic studies.

82 nfluence the outcome of NMR- and LC/MS-based metabonomics studies of human infant urine.

83 d potentially influence NMR- and LC/MS-based metabonomics studies.

84 o identify biomarkers both in proteomics and metabonomics studies.

85 s, which are sometimes vitally important for metabonomics studies.

86 en applied to 1H NMR spectra of urine from a metabonomic study of a model of insulin resistance based

87 We conducted a serum metabonomic study to explore the potential biomarkers of

88 A nested population-based case-control metabonomic study was first performed on 40 DR cases and

89 a set of metabolites (e.g. biomarkers from a metabonomic study) and plots the connectivity between me

90 bonomics methodologies prior to initiating a metabonomics study to ensure that contaminant profiles a

91 ng an artificial data set and spectra from a metabonomics study.

92 Metabonomics techniques of data reduction and pattern re

93 se of nuclear magnetic resonance (NMR)-based metabonomics to search for human disease biomarkers is b

94 The Consortium for Metabonomic Toxicology (COMET) obtained temporal NMR spe

95 er project lead by the COMET (Consortium for Metabonomic Toxicology).

96 In general, applications of metabonomics using biofluid NMR spectroscopic analysis f

97 ectra or mixtures of compounds, as in chiral metabonomics, where severe overlapping exists in proton