ライフサイエンスコーパス: metabolomic

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

2 as metatranscriptomics, metaproteomics, and metabolomics.

3 gration of time-course absolute quantitative metabolomics.

4 e of information, which is underexploited in metabolomics.

5 a platform coupling targeted and untargeted metabolomics.

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

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

8 s to very diverse scientific issues in plant metabolomics.

9 ntegration of genomics, transcriptomics, and metabolomics.

10 solvent composition for untargeted discovery metabolomics.

11 FLD patients using targeted metagenomics and metabolomics.

12 area spanning from synthetic applications to metabolomics.

13 drug discovery, environmental chemistry, and metabolomics.

14 iquid chromatography-mass spectrometry-based metabolomics.

15 y high-throughput nuclear magnetic resonance metabolomics.

16 tention to this data-processing technique in metabolomics.

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

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

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

20 studies combining proteomic, lipidomic, and metabolomic analyses are vastly increasing in popularity

21 Metabolomic analyses elucidated compounds derived from t

22 Metabolomic analyses of plasma and muscles of mice treat

23 Coupling transcriptomic and metabolomic analyses of the pea (Pisum sativum) rhizosph

24 Intestinal metatranscriptomic and host metabolomic analyses reveal that gut microbial organopho

25 Longitudinal proteomic, lipidomics, and metabolomic analyses revealed that hepatic mTORC2 promot

26 udy, we combined targeted transcriptomic and metabolomic analyses to discover prenyltransferase genes

27 Using metabolomic analyses together with in vitro microbiology

28 Metabolomic analyses were used to quantify serum metabol

29 the liver was harvested for histological and metabolomic analyses.

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

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

32 Metabolomics analyses of human plasma and HaCaT cells we

33 Paralleled proteomics and amine metabolomics analyses using mdDiLeu were systematically

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

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

36 Unbiased large-scale metabolomic analysis and transcriptome-wide mRNA express

37 te-spinal neuron co-cultures, we carried out metabolomic analysis by (1)H NMR spectroscopy of media f

38 ces in average daily gain (ADG), rumen fluid metabolomic analysis by LC-MS and multivariate/univariat

39 Metabolomic analysis confirmed no change in cellular met

40 Metabolomic analysis indicated increased fecal mevalonat

41 The metabolomic analysis indicated that l-lysine, mellein, a

42 We performed a metabolomic analysis of 1,282 male smoker participants b

43 ur in vitro results, we performed a targeted metabolomic analysis of plasma samples from TN HBOC pati

44 All subjects underwent nontargeted metabolomic analysis of plasma samples using gas and liq

45 s spectrometry (nanoLC-MS) for high-coverage metabolomic analysis of small numbers of cells (i.e., </

46 re directions for this area of study include metabolomic analysis of species- and condition-dependent

47 LC-UV/MS-based metabolomic analysis of the Hawaiian endophytic fungus P

48 Metabolomic analysis of the liver and plasma shows a pos

49 Metabolomic analysis revealed increased levels of branch

50 Metabolomic analysis showed large increases in lipid pro

51 magnetic resonance (NMR) spectroscopy-based metabolomic analysis was used to identify metabolites in

52 fication, and supernatants were prepared for metabolomic analysis.

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

54 Metabolomics analysis demonstrated accumulation of gluta

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

56 Metabolomics analysis of ACC-deficient liver identifies

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

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

59 Metabolomics analysis reveals global differences in meta

60 Metabolomics analysis reveals increased ATP production a

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

62 Recent advances in metabolomic and genome mining approaches have uncovered

63 By applying metabolomic and metagenomic (16S ribosomal RNA gene and

64 Mechanistically, integrated metabolomic and molecular investigation of cells deficie

65 rst report of serial integrated and combined metabolomic and proteomic analysis of tPE.

66 Using integrated metabolomic and proteomic approaches, we achieve high co

67 Metabolomic and proteomic data showed that exogenous pAB

68 ly prediction of tPE using serial integrated metabolomic and proteomic systems biology approaches.

69 Parallel proteomic, metabolomic and targeted transcription comparisons were

70 Here, we demonstrate through metabolomic and transcriptomic profiling marked suppress

71 Metabolomic and transcriptomic screenings were used to i

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

73 Metabolomics and isotope tracer studies demonstrate effe

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

75 Metabolomics and lipidomics aim to profile the wide rang

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

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

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

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

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

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

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

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

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

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

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

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

88 We used radiometric, immunologic, metabolomic, and biochemical assays to measure changes i

89 andensis E264 using genetic, transcriptomic, metabolomic, and chemical approaches.

90 Here, we integrate blood transcriptomic, metabolomic, and genomic profiles from two population-ba

91 et al. (2017) use a combination of genetic, metabolomic, and transcriptomic approaches to explore th

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

93 Metabolomics answers a fundamental question in biology:

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

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

96 e amount and type of meat or fish consumed.A metabolomic approach was applied to search for biomarker

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

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

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

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

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

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

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

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

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

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

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

108 d overexpression strains using an untargeted metabolomics approach.

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

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

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

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

113 In untargeted metabolomics approaches, the inability to structurally a

114 NMR metabolomics are primarily conducted with 1D nuclear Ove

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

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

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

118 Via targeted metabolomics assays, whereby carotenoids and ascorbic ac

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

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

121 The metabolomics-based phenolic profile depicted during in v

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

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

124 A combined metabolomic, biochemical, fluxomic, and metabolic modeli

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

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

127 e model (PSV) was utilized to validate these metabolomic changes in HSV and to determine the efficacy

128 opose an alternative, effective protocol for metabolomic characterization of biofluids based on their

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

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

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

132 or analyzing 100 or 1000 cells, although the metabolomic coverage is reduced from the maximal coverag

133 In particular, integrating microbiome and metabolomic data has excellent potential to advance micr

134 The integration of transcriptomic and metabolomic data in this study, together with physiologi

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

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

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

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

139 After reducing metagenomics and metabolomics data dimensionality, multivariate analyses

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

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

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

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

144 In a metabolomics data set derived from approximately 3000 hu

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

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

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

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

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

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

151 that preprocess untargeted mass spectrometry metabolomics data.

152 ing was used to analyze a publicly available metabolomic dataset of coral, algal, and fungal mat holo

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

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

155 the biological effect of a toxicant through metabolomic-derived pathway analysis, and further, artif

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

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

158 Domain-targeted metabolomics enabled the characterization of "multidomai

159 Metabolomic experiments confirmed that xylose is transpo

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

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

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

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

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

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

166 Untargeted metabolomics further revealed a significantly altered ce

167 Metabolomic, genetic, and pharmacological analyses confi

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

169 Metabolomics has appealing potential as an application t

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

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

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

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

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

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

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 Mass spectrometry (MS)-based metabolomic initiatives that use conventional separation

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

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

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

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

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

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

191 g metabolic syndrome (MetS) features, though metabolomic markers have not been investigated.

192 A targeted metabolomic measurement of serum BA and free fatty acid

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 Here, we apply genomic and metabolomic methods in a complementary manner to identif

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

197 Targeted metabolomics methods have already identified new molecul

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

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

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

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

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

203 Untargeted metabolomics of environmental samples routinely detects

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

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

206 Isotope-resolved metabolomics of the conditional mutant revealed defectiv

207 Metabolomics offers a unique integrative perspective for

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

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

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

211 e hypothesis that diabetic dogs have similar metabolomic perturbations to humans with type 1 diabetes

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

213 Combining metabolomics, plant genetics and biochemical approaches,

214 A quantitative metabolomics platform based on nuclear magnetic resonanc

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

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

217 tion performs better than transcriptomic and metabolomic predictions.

218 To characterize the plasma metabolomic profile of patients with age-related macular

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

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

221 Thus, we aimed to identify metabolomic profiles associated with obesity and obesity

222 Participants with AMD have altered plasma metabolomic profiles compared with controls.

223 ith type 1 diabetes (T1D), we analyzed serum metabolomic profiles of breed- and body weight-matched,

224 lyses of multiple biochemical biomarkers and metabolomic profiles suggested that MPs exposure induced

225 ion models were used to test associations of metabolomic profiles with anthropometric, clinical and b

226 ma-, and CM-HBCD resulted in different serum metabolomic profiles, indicating stereoisomer- and mixtu

227 g periods showed distinct and characteristic metabolomic profiles.

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

229 inct biologically meaningful groups by their metabolomics profiles.

230 iomarkers to further elucidate the different metabolomics profiles.

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

232 und defenses in the field, we performed root metabolomic profiling and uncovered unexpectedly high le

233 A long-standing challenge of untargeted metabolomic profiling by ultrahigh-performance liquid ch

234 MS(2) spectra that can be collected during a metabolomic profiling experiment far outweigh the amount

235 Here, through transcriptomic and metabolomic profiling of hematopoietic cells, we reveal

236 Metabolomic profiling revealed that MCAM modulated lacta

237 Metabolomic profiling revealed that MS-deficient Mtb cul

238 te to increased susceptibility, we performed metabolomic profiling using high performance liquid chro

239 We demonstrated single-cell metabolomic profiling using rat alveolar macrophage cell

240 Metabolomic profiling was carried out on plasma samples

241 Moreover, metabolomics profiling revealed an altered metabolic pro

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

243 Metabolomics provides global views of small-molecule met

244 Metabolomics provides insights into the actual physiolog

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

246 g., SNPs) has been extensively studied using metabolomic quantitative trait locus (mQTL) mapping.

247 Recent metabolomic reports connect dysregulation of glycosphing

248 Targeted metabolomics revealed decreased cellular lactate levels,

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

250 ponent of the neuroprotective signal through metabolomics screening.

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

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

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

254 We identified a serum metabolomic signature associated with MAT1A-KO mice that

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

256 already identified new molecular markers and metabolomic signatures of cardiovascular disease risk (i

257 e show that human KL cells and tumours share metabolomic signatures of perturbed nitrogen handling.

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

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

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

261 work the possibility of using an untargeted metabolomic strategy to discriminate between common and

262 The metabolomics strategy consisted of three different steps

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

264 vel, there is still a significant gap in the metabolomic studies of EC.

265 ults when interpreting statistical data from metabolomic studies of EVOO composition and adulteration

266 mmonia in polar metabolite isolates used for metabolomic studies, and (2) accurately determines the p

267 s of T cell metabolism and other large-scale metabolomic studies.

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

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

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

271 novel authenticity markers as a result of a metabolomic study of saffron (kaempferol 3-O-glucoside,

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

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

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

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

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

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

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

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

280 We utilized untargeted metabolomics to identify novel metabolites that distingu

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

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

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

284 valuated based on agronomic, qualitative and metabolomic traits.

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

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

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

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

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

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

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

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

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

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

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

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

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.