ライフサイエンスコーパス: metabolomics

1 n on metabolome coverage in untargeted LC-MS metabolomics.

2 a platform coupling targeted and untargeted metabolomics.

3 and a target-decoy FDR estimate for spatial metabolomics.

4 y (LC-MS)-based proteomics, peptidomics, and metabolomics.

5 s to very diverse scientific issues in plant metabolomics.

6 ntegration of genomics, transcriptomics, and metabolomics.

7 solvent composition for untargeted discovery metabolomics.

8 FLD patients using targeted metagenomics and metabolomics.

9 area spanning from synthetic applications to metabolomics.

10 tomatic sampling of MS/MS data in untargeted metabolomics.

11 sses, thereby recognizing building blocks of metabolomics.

12 nuclear magnetic resonance ((1)H NMR)-based metabolomics.

13 p mass spectrometers that are widely used in metabolomics.

14 y-mass spectrometry (LC-MS) based untargeted metabolomics.

15 drug discovery, environmental chemistry, and metabolomics.

16 iquid chromatography-mass spectrometry-based metabolomics.

17 y high-throughput nuclear magnetic resonance metabolomics.

18 tention to this data-processing technique in metabolomics.

19 as metatranscriptomics, metaproteomics, and metabolomics.

20 gration of time-course absolute quantitative metabolomics.

21 e of information, which is underexploited in metabolomics.

22 Conversely, untargeted metabolomics allowed us to identify two withanolides and

23 In conclusion, metabolomics allows use of biospecimens to identify usef

24 SSAGE: Exploration with high throughput leaf metabolomics along with functional genomics in wild toma

25 Metabolomics analyses demonstrated a significant concomi

26 Comparative transcriptional and metabolomics analyses implicate MYB15 as necessary for t

27 he outcome of transcriptomic, proteomic, and metabolomics analyses of genotypes including ceh1, a mut

28 Metabolomics analyses of human plasma and HaCaT cells we

29 be efficiently integrated into the NMR based metabolomics analyses routines: multivariate statistical

30 However, transcriptomics and metabolomics analyses uncovered systemic metabolic chang

31 Paralleled proteomics and amine metabolomics analyses using mdDiLeu were systematically

32 method for simultaneous proteomics and amine metabolomics analyses via nano reversed-phase liquid chr

33 s were determined by mass spectrometry-based metabolomics analyses, and mitochondrial function was an

34 Combining proteomics and metabolomics analyses, our results showed that HBc promo

35 of each 4-wk period in the fasting state for metabolomics analysis by using liquid chromatography-tan

36 Metabolomics analysis demonstrated accumulation of gluta

37 Gas chromatography-mass spectrometry metabolomics analysis identified differences between ROC

38 A global unbiased microbiome and metabolomics analysis independently confirmed that glyce

39 Metabolomics analysis of ACC-deficient liver identifies

40 Untargeted metabolomics analysis of an S. cerevisiae deletion mutan

41 In this study, we performed metabolomics analysis of cerebrospinal fluid (CSF) from

42 romatography-mass spectrometry (LC-MS)-based metabolomics analysis of human biospecimens has become a

43 As a result of the metabolomics analysis of rumen fluid, 33 metabolites dif

44 s and subjected to metabolic phenotyping and metabolomics analysis of skeletal muscle.

45 Metabolomics analysis reveals global differences in meta

46 Metabolomics analysis reveals increased ATP production a

47 -MS) was evaluated for its utility in global metabolomics analysis.

48 tential to largely improve the throughput of metabolomics analysis.

49 Plasma metabolomics and biochemical analyses revealed a marked

50 Complementary proteomics, metabolomics and chemical imaging corroborated these obs

51 Proteome analyses, as well as targeted metabolomics and chromatin immunoprecipitation, were per

52 r metabolites in denitrifying bacteria using metabolomics and genome-based metabolic network modeling

53 Metabolomics and isotope tracer studies demonstrate effe

54 By targeted metabolomics and isotope tracing experiments in loss- an

55 Metabolomics and lipidomics aim to profile the wide rang

56 spectrometry (IMS) has been used to support metabolomics and lipidomics applications to facilitate t

57 n MS (HDMS) System (Waters) specifically for metabolomics and lipidomics applications; extracting pol

58 ditional liquid chromatography (LC)-MS-based metabolomics and lipidomics experiments.

59 addition of IMS to conventional LC-MS-based metabolomics and lipidomics workflows has been shown to

60 ) methods are most often used for untargeted metabolomics and lipidomics.

61 Mass-spectrometry-based metabolomics and molecular phylogeny data were used to i

62 Furthermore, the metabolomics and pathway analysis support the view that

63 ofiling experiments such as transcriptomics, metabolomics and proteomics studies.

64 Here the authors use metabolomics and proteomics to show that inhibition of A

65 In this report, we use metabolomics and proteomics with HK-2 cells and animal m

66 we review the common pitfalls encountered in metabolomics and provide concrete guidelines for obtaini

67 Combined metabolomics and RNA sequencing (RNA-seq) linked this an

68 We reviewed recent literature on advances in metabolomics and their application to study pathways to

69 leaf RNA-seq gene expression analysis, LC-MS metabolomics and total phenolics assays in offspring pla

70 esistant genotype CI9831 based on integrated metabolomics and transcriptomics approach.

71 responses were evaluated using complementary metabolomics and transcriptomics approaches with the aim

72 t-AS), we used innovative techniques such as metabolomics and transcriptomics to comparatively examin

73 gies, including transcriptomics, proteomics, metabolomics, and fluxomics, for studying metabolism is

74 Advances in metagenomics, proteomics, metabolomics, and systems biology are providing a new em

75 ing and high-resolution imaging, microbiome, metabolomics, and transcriptomics into future research e

76 Metabolomics answers a fundamental question in biology:

77 e new SPME probes will properly suit various metabolomics applications that involve the use of both g

78 ronment on asthma development; (4) review of metabolomics applied to the outcome of asthma; (5) recom

79 Here, we present for the first time a metabolomics approach based on liquid chromatography-mas

80 f this genus, suggesting that our untargeted metabolomics approach can be potentially used as a model

81 The results of a targeted metabolomics approach from 2 independent studies were us

82 Using a metabolomics approach in a mouse model that recapitulate

83 trate the feasibility and effectiveness of a metabolomics approach in understanding the mechanism of

84 Here, we use an untargeted metabolomics approach to characterize the initial metabo

85 We undertook an untargeted metabolomics approach to discern the global metabolomics

86 genic Naegleria in vitro using an untargeted metabolomics approach to identify a panel of diagnostica

87 omatography-time-of-flight-mass spectrometry metabolomics approach was applied to assess metabolic al

88 In this study, a large-scale comparative metabolomics approach was applied to investigate the eff

89 In the present work, a metabolomics approach was implemented to examine leaf ch

90 From an untargeted metabolomics approach, it had been suggested that PurCD

91 Using a metabolomics approach, we found that E. coli and other E

92 d overexpression strains using an untargeted metabolomics approach.

93 en over a 25 h period using a targeted LC/MS metabolomics approach.

94 ry eye disease (DED) using a hypothesis-free metabolomics approach.

95 as well as the Oven-drying temperature using metabolomics approaches and bioactivity assays.

96 Metabolomics approaches have been applied as useful tool

97 caling throughput and technical capacity for metabolomics approaches, bioinformatic and chemoinformat

98 In untargeted metabolomics approaches, the inability to structurally a

99 NMR metabolomics are primarily conducted with 1D nuclear Ove

100 s data (i.e. transcriptomics, proteomics and metabolomics) are urgently needed.

101 r omics technologies, such as proteomics and metabolomics, are now often incorporated into the everyd

102 ratory assessment of a widely used, targeted metabolomics assay illustrating the reproducibility of t

103 Combining several metabolomics assays can yield datasets for more than 800

104 Via targeted metabolomics assays, whereby carotenoids and ascorbic ac

105 thma; (5) recommendations for application of metabolomics-based -omics data integration in understand

106 Metabolomics-based analyses of sera from 7 patients with

107 l samples according to their quality using a metabolomics-based approach.

108 The metabolomics-based phenolic profile depicted during in v

109 A multi-instrument metabolomics-based platform along with targeted analyses

110 As mass spectrometry-based metabolomics becomes more widely used in biomedical rese

111 , to support the development of plasma-based metabolomics biomarkers of AMD, and to identify novel ta

112 ults shown in this study are in the field of metabolomics but this method could be applicable with an

113 Untargeted metabolomics by liquid chromatography-mass spectrometry

114 c pigments were not altered, indicating that metabolomics can be a rapid and sensitive tool for the d

115 xploring the role of dietary biomarkers with metabolomics can potentially facilitate objective dietar

116 mitochondrial disease progression including metabolomics, circulating serum markers, exercise physio

117 Here, we used metabolomics combined with computational methods to iden

118 y of mass spectrometry-based global exposure metabolomics combined with tailored database queries and

119 e they are less robust or unknown to the NMR metabolomics community.

120 As technologies for metabolomics continue to evolve, the depth and breadth o

121 Domain-targeted metabolomics could be more widely used to characterize N

122 To curtail technical noise and make GC/MS metabolomics data amenable to analyses describing biolog

123 ics Pipeline (PiMP) fulfils an unmet need in metabolomics data analysis.

124 This strategy permitted to investigate the metabolomics data and their relation with botanic and ge

125 quid or gas chromatography-mass spectrometry metabolomics data because they can translate downstream

126 ubmission to the MetaboLights repository for metabolomics data currently places the burden of reporti

127 After reducing metagenomics and metabolomics data dimensionality, multivariate analyses

128 ely suited to normalizing non-targeted GC/MS metabolomics data due to explicit accommodation of batch

129 ate ISA-Tab metadata file stubs from raw XML metabolomics data files.

130 Oat1KO and Oat3KO, as well as newly obtained metabolomics data from a "chemical double" knockout (Oat

131 Here, we have examined new and prior metabolomics data from the Oat1KO and Oat3KO, as well as

132 The increasing availability of metabolomics data necessitates novel methods for deeper

133 Analyzing mass spectrometry-based metabolomics data presents a major challenge to metaboli

134 2) metabolomics data sets derived from three metabolomics data repositories.

135 Multivariate statistical analysis of the metabolomics data revealed that the same metabolic netwo

136 In a metabolomics data set derived from approximately 3000 hu

137 emonstrate ChemRICH's efficiency on a public metabolomics data set discerning the development of type

138 es, we applied MetaboDIA to a clinical serum metabolomics data set, where we built a DDA-based spectr

139 Data Dependent Acquisition (DDA)-based MS(2) metabolomics data sets derived from three metabolomics d

140 the false discovery rate (FDR) for 70 public metabolomics data sets.

141 ge scale analysis of mass spectrometry based metabolomics data that has been essential in the advance

142 processing of both centroid and profile mode metabolomics data that relies on an intensity-weighted b

143 emoinformatic tools for handling large-scale metabolomics data, methods for elucidating the biochemic

144 Utilizing time-course metabolomics data, uFBA provides an accurate method to p

145 that preprocess untargeted mass spectrometry metabolomics data.

146 packages for preprocessing untargeted LC/MS metabolomics data.

147 accurate conclusions from non-targeted GC/MS metabolomics data.

148 However, missing values (MVs) in metabolomics datasets are common and can arise due to bo

149 the first comprehensive transcriptomics and metabolomics datasets for Rhodiola rosea.

150 sweat is an excellent biofluid candidate for metabolomics due to its noninvasive sample collection an

151 ins (e.g. dynamic proteomics) in addition to metabolomics (e.g. fluxomics) to seek molecular underpin

152 Conventional human blood metabolomics employs serum or plasma and provides a weal

153 Domain-targeted metabolomics enabled the characterization of "multidomai

154 Here, we extend MS2LDA to handle multiple metabolomics experiments in one analysis, resulting in M

155 Following published guidelines for metabolomics experiments, we report a validated nontarge

156 s is hampering the full exploitation of many metabolomics experiments.

157 f molecular fragment data derived from large metabolomics experiments.

158 lp enable data sharing and reanalysis in the metabolomics field.

159 sturbed pathways are similar to our previous metabolomics findings in a longitudinal cohort of adult

160 This study has shown metabolomics fingerprints have the capability to identif

161 study was to evaluate the utility of urinary metabolomics for early noninvasive detection of AMR in p

162 focus on applications of magnetic resonance metabolomics for quantifying circulating biomarkers in l

163 re surveyed, as well as the use of NMR-based metabolomics for the search of potential surrogate bioma

164 omic analysis in skeletal muscle, and plasma metabolomics from subjects with classical and early-onse

165 Untargeted metabolomics further revealed a significantly altered ce

166 By integrating nontargeted metabolomics, genetics, and detailed human phenotyping,

167 Metabolomics has appealing potential as an application t

168 umber of investigations based on nontargeted metabolomics has increased, although often without a tho

169 in bioinformatics, genomics, proteomics, and metabolomics have facilitated the development of novel a

170 nnotated using xMSannotator in an untargeted metabolomics human data set shows that 80% of features w

171 sequences were tested on common samples for metabolomics, human plasma, and urine.

172 Untargeted GC/MS metabolomics identified 22 metabolites enriched in R. so

173 By using integrative metabolomics in a mouse model and human biopsies of pros

174 Using targeted metabolomics in INS-1(832/13) cells, we found that sever

175 The above highlight the usefulness of metabolomics in providing accurate and sensitive informa

176 olome represents an important application of metabolomics in the general area of nutritional research

177 ere quantified by nuclear magnetic resonance metabolomics in the population-based Young Finns Study f

178 We highlight the (1) potential of metabolomics in understanding the pathogenesis of diseas

179 Current challenges facing the field of metabolomics include scaling throughput and technical ca

180 Metabolomics, including metabolic tracing studies, are a

181 In this context, untargeted and targeted metabolomics indicated an intracellular reduction of alp

182 NMR-based metabolomics indicates that OA patients are characterize

183 tion impact infant metabolism, and show that metabolomics is a powerful tool to help with development

184 Metabolomics is an effective methodology to explore dyna

185 Thus (1)H NMR urine metabolomics is applicable in the characterization of ac

186 ication of existing normalization methods to metabolomics is challenged by unsatisfied modeling assum

187 A critical question facing the field of metabolomics is whether data obtained from different cen

188 pigenomics, transcriptomics, proteomics, and metabolomics, is now making it possible to address the c

189 In cellular metabolomics, it is desirable to carry out metabolomic p

190 s spectrometry (LC/MS) to perform untargeted metabolomics, it is now routine to detect tens of thousa

191 cal lipopolysaccharide (LPS) measurement and metabolomics (linear trap quadrupole-Fourier transform m

192 High throughput metabolomics makes it possible to measure the relative a

193 ining transcriptomics, phosphoproteomics and metabolomics measurements across a comprehensive panel o

194 Here we acquired time-resolved metabolomics measurements in yeast under salt and pherom

195 We then integrated these metabolomics measurements into a cell-scale metabolic mo

196 Here we describe a metabolomics method for the analysis of rare cell popula

197 ia coli samples analyzed with one untargeted metabolomics method.

198 of this review is to provide an overview of metabolomics methods and their application to understand

199 Targeted metabolomics methods have already identified new molecul

200 mass spectrometry (LC-HRMS)-based untargeted metabolomics methods including metabolite detection, ann

201 Our findings show how nutritional metabolomics might identify diet-related exposures that

202 e metabolites in diverse biological systems, metabolomics now offers the potential for new insights i

203 here potentially opens a new chapter in the metabolomics of blood.

204 Here we show the difference in the metabolomics of bone marrow stromal cells (BMSCs) derive

205 Untargeted metabolomics of environmental samples routinely detects

206 We aimed at verifying whether metabolomics of exhaled breath condensate from obese ast

207 teomes, cellular transcriptomes and targeted metabolomics of five knockout mouse strains deficient in

208 Isotope-resolved metabolomics of the conditional mutant revealed defectiv

209 oRNAs, genomics, peptidomics, proteomics and metabolomics) of CKD and related disorders by performing

210 Metabolomics offers a unique integrative perspective for

211 Mass spectrometry-based untargeted metabolomics often detects statistically significant met

212 ected metabolism perturbations, we performed metabolomics on mice serum obtained during a window-of-d

213 additional information from high-resolution metabolomics over classic biochemistry.

214 ing to the type of stopper, providing a wine metabolomics picture of the impact of distinct stopping

215 The Polyomics integrated Metabolomics Pipeline (PiMP) fulfils an unmet need in me

216 Combining metabolomics, plant genetics and biochemical approaches,

217 A quantitative metabolomics platform based on nuclear magnetic resonanc

218 Using a non-targeted metabolomics platform, we recently identified C-mannosyl

219 RA and its cofounders using a new untargeted metabolomics platform.

220 quid chromatography tandem mass spectrometry metabolomics platform.

221 ion using a nuclear magnetic resonance-based metabolomics platform.

222 ciated with a modulation of the host urinary metabolomics profile and intestinal energy absorption.

223 metabolomics approach to discern the global metabolomics profile impacted by Merlin in breast cancer

224 unsupervised clustering was done with plasma metabolomics profiles from a case-control subset of 245

225 of free-living subjects.We aimed to examine metabolomics profiles in response to 3 diets that differ

226 iomarkers to further elucidate the different metabolomics profiles.

227 inct biologically meaningful groups by their metabolomics profiles.

228 of in utero vitamin D exposure on children's metabolomics profiles.First, unsupervised clustering was

229 metagenome-wide association study and serum metabolomics profiling in a cohort of lean and obese, yo

230 mics sequencing, and mass spectrometry-based metabolomics profiling in a mouse model to examine the f

231 Moreover, metabolomics profiling revealed an altered metabolic pro

232 We combined metabolomics, proteomics, and gene expression analysis t

233 d 292 metabolites profiled by the untargeted metabolomics provider Metabolon Inc.

234 Metabolomics provides global views of small-molecule met

235 Metabolomics provides insights into the actual physiolog

236 romatography-mass spectrometry (LC-MS)-based metabolomics, quality control (QC), molecular identifica

237 2D NMR spectroscopy to diagnostic screening, metabolomics, quality control, and other high-throughput

238 st rapidly depleted biotinylated protein and metabolomics revealed a broad metabolic shift in wild ty

239 Targeted metabolomics revealed decreased cellular lactate levels,

240 any changes in the physiology of the cells, metabolomics revealed the fluctuating state of the metab

241 ponent of the neuroprotective signal through metabolomics screening.

242 chanism of KJT by UPLC-QTOF/MS-based urinary metabolomics showed that 5 metabolic pathways were modul

243 Untargeted and targeted metabolomics showed that overall metabolism was less res

244 Remarkably, 86% of the metabolomics signals detected were not found in other av

245 A novel amino acid and metabolomics signature in mice overexpressing muscle unc

246 hogonal datasets, such as transcriptomic and metabolomics signatures, cell populations, and cytokine

247 Stable isotope-resolved metabolomics (SIRM) is an approach that uses advanced ap

248 were identified to level 1 according to the metabolomics standard initiative and confirmed by both R

249 The metabolomics strategy consisted of three different steps

250 toxin quantification) and a novel untargeted metabolomics strategy were jointly assessed.

251 periments, we report a validated nontargeted metabolomics strategy with pipeline for unequivocal iden

252 Biological interpretation of metabolomics studies heavily relies on knowledge-based t

253 These tools will enable metabolomics studies of population scale cohorts.

254 Recent metabolomics studies of Rheumatoid Arthritis (RA) report

255 ese two objectives but are not often used in metabolomics studies, because they are less robust or un

256 to be altered in dengue patients in previous metabolomics studies, indicating that humanized mice cou

257 amino acid catabolism by gene expression and metabolomics studies.

258 Here, we conducted a serum metabolomics study on a model using humanized mice with

259 ers related to cigarette smoke exposure.This metabolomics study shows a cross-sectional association b

260 In the case of the metabolomics study taken as example in this work, a tota

261 Herein, we performed a targeted metabolomics study using ultrahigh performance liquid ch

262 omarkers identified by the previous targeted metabolomics study were found in the current work, in ad

263 Recent efforts have utilized metabolomics techniques to study the fate of small-molec

264 In this study, metabolomics techniques were used to assess the differen

265 d the discovery of biomarkers; (2) choice of metabolomics techniques, biospecimen handling, and data

266 Hence, untargeted metabolomics technology could be suitable to research di

267 ropose an alternative approach to untargeted metabolomics that relies on thoroughly annotated referen

268 de in addressing these challenges will allow metabolomics the potential to substantially affect diagn

269 llel evidence (i.e., genomic reconstruction, metabolomics, thermodynamic analyses, and calculation of

270 ty of GC-MS and its increasing popularity in metabolomics, this method will promote the identificatio

271 Here, we use integrated proteomics and metabolomics to characterize the relationship between th

272 We utilized untargeted metabolomics to identify novel metabolites that distingu

273 ered mouse models of glioma and quantitative metabolomics to investigate IDH1(R132H)-dependent metabo

274 We applied targeted metabolomics to measure the metabolic intermediates in t

275 tiomic analyses demonstrate the potential of metabolomics to predict bronchiolitis severity and bette

276 metry have been extensively applied to plant metabolomics to very diverse scientific issues in plant

277 The suitability of commonly used metabolomics tools including a pressure driven fast filt

278 p in our knowledge, we performed comparative metabolomics, transcriptomics, proteomics, and (13)C-lab

279 thod for high-coverage quantitative cellular metabolomics using a starting material of 10000 cells.

280 Samples, previously analyzed by targeted metabolomics using completely different protocol, analyt

281 Here, non-targeted metabolomics utilizing gas chromatography mass spectrome

282 Hence, non-targeted metabolomics was applied on resistant and susceptible S.

283 Nuclear magnetic resonance metabolomics was used to analyze 60 muL serum aliquots o

284 matography high-resolution mass spectrometry metabolomics was used to evaluate broadly the similariti

285 or growth and mineralization, physiology and metabolomics, we demonstrate that the sensitivity of pop

286 oxymethylation with comprehensive untargeted metabolomics, we identified novel alterations in purine

287 eted liquid chromatography/mass spectrometry metabolomics, we quantified 130 plasma metabolites every

288 logy, structural biology, and activity-based metabolomics, we report that CLYBL operates as a citrama

289 As an important alternative to serum/plasma metabolomics, we show here that a simple (1)H NMR experi

290 In this work, procedures used in NMR-based metabolomics were applied to a GHB clinical trial on uri

291 RNA sequencing and metabolomics were used to determine the mechanism of act

292 ical diversity of the metabolome, untargeted metabolomics will inevitably discriminate against certai

293 rough combination of stable isotope-assisted metabolomics with functional assays, we demonstrate that

294 ines a sample treatment strategy coming from metabolomics with liquid chromatography analysis using a

295 LC-MS is a robust analytical tool for sweat metabolomics with potential applications including daily

296 rophysiology, in vivo electrophysiology, and metabolomics-with the most prominent hyperactivity occur

297 ies and uploaded raw and results data to the Metabolomics Workbench website ( www.metabolomicsworkben

298 The novel streamlined metabolomics workflow was established using anion-exchan

299 uid chromatography-mass spectrometry (LC-MS) metabolomics workflow, such as metabolite extraction, th

300 incorporating IM-MS into conventional LC/MS metabolomics workflows.