ライフサイエンスコーパス: metabolomic

1 of which require applying these theories to metabolomics.

2 ior to analysis with mass spectrometry-based metabolomics.

3 d compounds can be discovered in urine using metabolomics.

4 tes are additional challenges in single-cell metabolomics.

5 were measured using targeted and untargeted metabolomics.

6 d lysis, cancer-related gene expression, and metabolomics.

7 ction and quantification for high-throughput metabolomics.

8 of the common pipeline for data analysis in metabolomics.

9 e the onset of overt clinical symptoms using metabolomics.

10 MS is a viable and reproducible approach for metabolomics.

11 abled hyperpolarized natural abundance (13)C metabolomics.

12 g the first 6 mo postpartum using untargeted metabolomics.

13 available information on transcriptomics and metabolomics.

14 ation rates continue to be low in untargeted metabolomics.

15 complementing each other to perform salivary metabolomics.

16 sequencing, and were deeply phenotyped using metabolomics, advanced imaging, and clinical laboratory

17 Untargeted metabolomics aims to quantify the complete set of metabo

18 spleen were then collected and analyzed for metabolomic alterations.

19 hysiological, histological, and cutting-edge metabolomic analyses demonstrate that in commercial sett

20 Untargeted metabolomic analyses detect 129 and 199 annotated metabo

21 We performed metabolomic analyses of serum samples from patients with

22 Proteomic and metabolomic analyses of the cocultured bacteria revealed

23 Further metabolomic analyses revealed a marked reduction in stor

24 Transcriptomic and metabolomic analyses show that alpha2-Na/K ATPase loss a

25 Metabolomic analyses were performed using two-dimensiona

26 Coupling gene expression with metabolomic analyses, we observed striking changes in he

27 sample types are still difficult to study by metabolomic analyses.

28 Transcriptomics, genome sequencing, and metabolomics analyses in these Zn-deficient rats reveale

29 viduals (n = 10) were quantified by targeted metabolomics analyses.

30 Serum samples were collected for global metabolomic analysis (n = 8/group/sex).

31 m early to advanced clinical staging through metabolomic analysis by mass spectrometry in plasma and

32 Untargeted metabolomic analysis defined 29 biochemicals significant

33 Metabolomic analysis demonstrated that MUC1-mediated CDA

34 Metabolomic analysis demonstrates that BCH070 likely tar

35 Chemical and metabolomic analysis of dauer-inducing pheromone has ide

36 Metabolomic analysis of KDM3B knockout showed a decrease

37 Here, we performed (1)H-NMR based metabolomic analysis of serum and whole-blood from lutei

38 technical limitations have precluded a full metabolomic analysis of SV content.

39 Untargeted high-resolution LC-MS metabolomic analysis of the extracted filtrates and myce

40 Metabolomic analysis of the wines using NMR did not find

41 However, the comprehensive metabolomic analysis of urine has been somewhat less stu

42 Metabolomic analysis revealed significant sex-, diet-, a

43 Metabolomic analysis reveals that dietary uptake of glut

44 Metabolomic analysis reveals that long lags result from

45 et metabolites using large-scale comparative metabolomics analysis across a database of 10,498 extrac

46 Based on data from microbial sequencing and metabolomics analysis demonstrating that young fecal tra

47 Metabolomics analysis of patient colon tumors (n = 197)

48 Further, metabolomics analysis revealed a S. parasanguinis-driven

49 Intracellular metabolomics analysis revealed decreasing levels of redo

50 rm, offering better sensitivity for targeted metabolomics analysis.

51 ', unifying 'omics' (lipidomics, proteomics, metabolomics) analysis with native mass spectrometry to

52 Genetic, metabolomic and biophysical analyses previously demonstr

53 une response, and transcriptomic, proteomic, metabolomic and epigenetic signatures associated with RS

54 Metabolomic and gene expression profiling established ST

55 at the coding and non-coding transcriptomic, metabolomic and genome methylation levels.

56 nt study, we used integrated high-resolution metabolomic and genomic approaches to examine mice with

57 e of outcomes from unbiased, discovery-based metabolomic and lipidomic analyses, which revealed a dyn

58 otein of major stem tissues by an integrated metabolomic and proteomic approach, and the role of TmMY

59 and temporal resolution for the analysis of metabolomic and proteomic dynamics within subcellular co

60 carried out unbiased mass spectrometry-based metabolomic and proteomic profiling of cancer cells cocu

61 Using a metabolomic and stable-isotope labeling approach, combin

62 We performed integrated metabolomic and transcriptomic analyses of liver tissue

63 Using high-resolution metabolomics and 16S rRNA gene sequencing, plasma/urine

64 e by including cutting-edge measures such as metabolomics and epigenetics.

65 ed with alterations in energy balance, blood metabolomics and fecal microbiota composition.

66 Here, we combine metabolomics and genetics to characterize the cells' res

67 crobiomes of marine animals and cutting-edge metabolomics and genomic tools, we identified encouragin

68 We used metabolomics and in situ three-dimensional submicrometer

69 Plasma metabolomics and lipidomics (1871 biochemicals) revealed

70 Metabolomics and lipidomics studies are becoming increas

71 larger omics studies, including proteomics, metabolomics and lipidomics, as well as investigations o

72 For this purpose, untargeted metabolomics and molecular networking were used to obtai

73 Data processing strategies inspired from metabolomics and multi-targeted analysis were compared a

74 be used to build data-analysis workflows for metabolomics and other omics technologies.

75 esource of proton nuclear magnetic resonance metabolomics and phenotypic data encompassing over 25 00

76 tional approach to recover missing values in metabolomics and proteomics datasets is important.

77 aim to give a timely overview of circulating metabolomics and proteomics findings with T2D observed i

78 Global metabolomics and proteomics profiling identified a FUNDC

79 Metabolomics and proteomics, facilitated by recent advan

80 Using a combination of untargeted metabolomics and RNA sequencing, we discovered a biosynt

81 the approach with applications to untargeted metabolomics and transcriptomics data.

82 ly, serum and PBMCs samples were analyzed by metabolomics and transcriptomics, respectively.

83 ics (genetic, transcriptomic, proteomic, and metabolomic) and clinical (liver enzymes and other serol

84 ed quantitative imaging, proteomic, genetic, metabolomic, and cell-based assays.

85 pace to determine transcriptomic, proteomic, metabolomic, and epigenetic responses to spaceflight.

86 ith 766 detectable alterations in proteomic, metabolomic, and standard clinical laboratory measuremen

87 advancement of 'omics' technologies, such as metabolomics, and (ii) an effort to redress the use of t

88 Combining genomics, transcriptomics, metabolomics, and biochemistry, we identify a CHS-L gene

89 erlapping associations with transcriptomics, metabolomics, and clinical endpoints suggest implication

90 r genomics, transcriptomics, proteomics, and metabolomics, and integrative analysis of these data, en

91 Integrated RNA sequencing, metabolomics, and molecular analyses showed that OXPHOS(

92 is study aims to model genetic, immunologic, metabolomics, and proteomic biomarkers for development o

93 rning model of transcriptomics, epigenomics, metabolomics, and proteomics.

94 le-body physiology, we performed lipidomics, metabolomics, and RNA-seq analyses on a mouse model.

95 d at different ripening stages by means of a metabolomic approach using GC-MS.

96 ATBC) via a comprehensive proteogenomic and metabolomic approach.

97 LC-MS based metabolomics approach revealed that putative metabolites

98 NMR metabolomics approach was used to distinguish fresh and

99 Using a metabolomics approach, the influence on primary and seco

100 omatography time-of-flight mass spectrometry metabolomics approach.

101 o results obtained from a classic untargeted metabolomics approach.

102 Untargeted metabolomic approaches hold a great promise as a diagnos

103 he lack of reproducibility of the untargeted metabolomic approaches used in pharmaceutical research.

104 Then, two targeted metabolomics approaches, which employed triple quadrupol

105 We highlight the potential of metabolomics as a tool for understanding the molecular b

106 Our study has limitations: our metabolomics assays measured only a small proportion of

107 Metabolomics assessment identified markers of PTR and G6

108 graphy(u-PET), collagen quantification, lung metabolomics, assessment of antioxidant potential and so

109 Genomics and metabolomics associations identified 61 (5.1%) heterozyg

110 ing proteomics, transcriptomics, lipidomics, metabolomics, autoantibodies and immune cell profiling,

111 ates the potential of LC-SERS technology for metabolomics-based diagnosis and treatment of cancer.

112 atatas), and yam (Dioscorea spp.), following metabolomics-based diversity screening of global collect

113 a and illustrate its merit by constructing a metabolomics-based score for biological age that capture

114 h factors may influence the accuracy of this metabolomics-based test in a clinical setting.

115 To date, (31)P NMR has seen limited usage in metabolomics because of a lack of reference spectra, dif

116 gle cells allows for better understanding of metabolomic biomarkers and therapeutic targets of rare c

117 sms with AVNFH, transcriptomics, proteomics, metabolomics, biophysical, ultrastructural and histopath

118 We combine targeted metabolomics, biouptake and physiological response studi

119 the metabolism of PCB 11 and the associated metabolomics changes in HepG2 cells using untargeted hig

120 A metabolomics comparison of Mtb-infected macrophages indi

121 Major and minor metabolomic components of Apulian Coratina EVOO obtained

122 Targeted metabolomics confirmed increased circulating levels of i

123 ialized metabolites using transcriptomic and metabolomic data on the fresh leaves collected from 136

124 This is the first study translating metabolomic data to develop novel treatments for Chagas

125 Metabolomic data were integrated with whole blood transc

126 at incorporates genetic, transcriptomic, and metabolomic data.

127 ght the integration of genomic, exposure and metabolomic data.

128 In summary, we present a vast resource of metabolomics data and illustrate its merit by constructi

129 coincident transcriptomics, proteomics, and metabolomics data at serial time points between admissio

130 on of the complexity and redundancy of LC-MS metabolomics data comes from adduct formation.

131 enes in different tumors, and microarray and metabolomics data from Arabidopsis thaliana.

132 eir impact on metabolism using comprehensive metabolomics data from two population-based studies.

133 umptions that preclude direct integration of metabolomics data into the underlying models.

134 the fundamental structure and properties of metabolomics data is lagging behind.

135 e model approach to longitudinal analysis of metabolomics data provides an approach simultaneously fo

136 eveloped a novel algorithm, called Disparate Metabolomics Data Reassembler (DIMEDR), which attempts t

137 n multiple omics data including genomics and metabolomics data to identify biomarkers potentially pre

138 We used endo- and exo-metabolomics data to show that the thermodynamic driving

139 (clinical, transcriptomics, proteomics, and metabolomics data) and n = 312 for the validation cohort

140 312 for the validation cohort (clinical and metabolomics data).

141 ng DNA and RNA sequence data, proteomics and metabolomics data, to be captured from individuals and g

142 ls typically present in untargeted ESI-LC-MS metabolomics data.

143 roducing two fundamental theories concerning metabolomics data: data theory and measurement theory.

144 pounds that have yet to be incorporated into metabolomic databases.

145 Metabolomic datasets are analyzed using MetaboAnalyst.

146 e effective exploration of large genomic and metabolomic datasets, and discuss various emerging strat

147 he inconsistencies between incongruent LC-MS metabolomics datasets of the same biological sample type

148 Untargeted metabolomics depicted the phenolic composition of raw an

149 In critically ill children, NMR metabolomics differentiates well between those with a po

150 ization of (13)C isotope tracers and dynamic metabolomics documented that 5-PAHSA primes adipocytes f

151 rger signal dispersion but is barely used in metabolomics due to ca. 6000-fold lower sensitivity.

152 Targeted metabolomic experiments in the Fatp2 (-/-) liver reveale

153 Here, through multiple (13)C-metabolomics experiments with Fe-replete and Fe-limited

154 ally increased the peak capacity for spatial metabolomics experiments.

155 ntial for health state diagnostics using all metabolomics features with data-driven analysis.

156 tially close buildings, revealing individual metabolomics features, retention time (rt) and mass-to-c

157 These findings present the first in situ metabolomic findings of the four molecular subtypes of b

158 imple extraction methods and high-throughput metabolomic fingerprinting.

159 ive metabolic remodelling as demonstrated by metabolomics-fluxomics combined with bioinformatics and

160 s; (ii) it is risk-disproportionate to apply metabolomics for regulatory purposes to search for possi

161 y (HRMS) combined with profiling qualitative metabolomics for the analysis of tryptophan degradation

162 contrast to transcriptomics, proteomics and metabolomics generate data that relate more directly to

163 Global untargeted metabolomics (GUM) has entered clinical diagnostics for

164 In the past decade, the field of LC-MS-based metabolomics has transformed from an obscure specialty i

165 es, including serology, transcriptomics, and metabolomics, have provided new insights into how we can

166 harmonization challenges for high-resolution metabolomics (HRM) data collected across different studi

167 lactolipids) and primary metabolism (through metabolomics) in two natural populations at different el

168 Untargeted metabolomics indicates that the number of unidentified s

169 Thus, incorporating (31)P NMR into a metabolomics investigation will enable the detection of

170 Metabolomics is a powerful systems biology approach that

171 Metabolomics is emerging as an important field in life s

172 The major issue in untargeted metabolomics is linked to the lack of efficient ranking

173 ective, relative to each of these areas: (i) metabolomics is unable to differentiate whether a mutati

174 ol samples, ncGTW applied to two large-scale metabolomics LC-MS datasets identifies many misaligned f

175 tory and co-expression networks, proteomics, metabolomics, lipidomics and phenomics with informatics

176 Integrating metabolomics, lipidomics, and transcriptomics, we link c

177 ng, microscopy, transcriptomics, proteomics, metabolomics, lipidomics, immunological assays, and flux

178 min and 14 days of recovery, analysed using metabolomics/lipidomics platforms and compared to exerci

179 Human milk metabolomics may be useful in predicting infant adiposit

180 cribed relating to COVID-19, indicating that metabolomics may open new avenues for understanding the

181 MS-based metabolomics methods are powerful techniques to map the

182 This metabolomic model predicted PE better than PlGF (AUC [95

183 OmicsDI integrates proteomics, genomics, metabolomics, models and transcriptomics datasets.

184 logies reflective of edited affects, such as metabolomics, need to be used in a more prominent manner

185 The untargeted metabolomics not only confirmed the presence of amines,

186 feasibility of drug design based on knockout metabolomics of drug transporters.

187 Chromatography and untargeted metabolomics of the conditioned media, as well as transc

188 We used metabolomics on blood from artery, coronary sinus, and f

189 graphy-tandem mass spectroscopy (UPLC-MS/MS) metabolomics on maternal serum at 12, 20 and 28 weeks of

190 ics, metatranscriptomics, metaproteomics and metabolomics) on in situ samples over 14 months at weekl

191 To achieve this goal, metabolomics or 'non-targeted metabolite analysis' needs

192 eck for large-scale untargeted analyses like metabolomics or drug metabolite identification.

193 Performance of the metabolomic panel to identify patients with PE was compa

194 Metabolomics pathway enrichment analysis was performed o

195 present DeepRiPP, an integrated genomic and metabolomic platform that employs machine learning to au

196 have optimized and validated a multianalyte metabolomics platform for large-scale quantitative expos

197 Here we used a global metabolomics platform in a case-control study to compreh

198 A proton nuclear magnetic resonance metabolomics platform provided 230 metabolite measures:

199 throughput proton nuclear magnetic resonance metabolomics platform, which allows quantification of 14

200 ness of current mass spectrometry (MS) based metabolomics platforms is the time-consuming analysis an

201 Metabolomics plays a pivotal role in systems biology, an

202 Children with both FA and asthma exhibited a metabolomic profile that aligned with that of FA alone b

203 cell cycle with a very low G1 fraction and a metabolomic profile that reflects a combination of oxida

204 Metabolomic profile was obtained by ultra-performance li

205 the presence of a genotype-specific distinct metabolomic profile.

206 The vaginal metabolomics profile of MIAC showed higher concentration

207 s, suggesting the existence of five specific metabolomic profiles behind the five specific sensory pr

208 pectra were used to characterise and compare metabolomic profiles between diet types and assess the p

209 ntial abundance analysis comparing proteomic/metabolomic profiles between different groups of subject

210 ia modulation of immunologic, microbial, and metabolomic profiles in the host.

211 Future work will involve further exploring metabolomic profiles of human kidneys as a function of a

212 se than their native counterparts, and their metabolomic profiles were statistically distinguishable

213 oss-sectional study used FFQ data and plasma metabolomic profiles, mostly lipid related, from the Nur

214 Metabolomic profiling of fasting serum was performed usi

215 nd progression of FXTAS, we performed global metabolomic profiling of premutation carriers (PM) who,

216 Metabolomic profiling revealed that the maternal microbi

217 23)Na, (31)P, (13)C NMR followed by (1)H-NMR metabolomic profiling.

218 'Sweetheart': relatively susceptible) using metabolomics profiling and cell wall sugar characterizat

219 We used non-targeted metabolomics profiling to reveal metabolic pathways asso

220 9PT TNBC cells, along with LC-MS/MS and HPLC metabolomics profiling, we found here that exposure of T

221 Standardization of untargeted metabolomics protocols, including sample preparation, in

222 ems-scale analysis of cellular metabolites, "metabolomics," provides data ideal for applications in m

223 lla photosymbiosis [9-11] using a reciprocal metabolomic pulse-chase method.

224 Feature reduction was performed using metabolomic Quantitative Trait Loci, resulting in the li

225 ingerprint and pathways of this disease make metabolomics-related approaches an indispensable tool fo

226 ists or biologists, researchers dealing with metabolomics require tools to decipher complex mixtures.

227 In the field of metabolomics research, this issue has largely remained u

228 try metabolite profiling is the workhorse of metabolomics research.

229 s, many unidentifiable signals in untargeted metabolomics result from the latter rather than new comp

230 gnitive computing-assisted analysis of these metabolomics results helped to prioritize potential acti

231 Complementing our metabolomics results, our transcriptomics analyses also

232 In our study in mice, metabolomics revealed increased fecal concentrations of

233 Milk metabolomics revealed that citrate increased by HS, wher

234 Non-targeted metabolomics revealed that UV-B has a strong impact on p

235 rcial kratom products using untargeted LC-MS metabolomics, revealing two distinct chemotypes that con

236 Metabolomic samples were collected using RApid Metabolom

237 tepwise regression analysis contributed to a metabolomics score as a predictor of diet quality.

238 : see text] nuclear magnetic resonance (NMR) metabolomics, Seahorse, and the spatial distribution of

239 atients with FA exhibited a disease-specific metabolomic signature compared with both control subject

240 stinct subtypes of pancreatic CSCs and their metabolomic signatures in organ-specific metastatic colo

241 style factors or comorbidities as well as on metabolomic signatures or gut microbiota profiles.

242 Here, we first show that metabolomics software packages developed for automated o

243 Metabolomics stands out here as one of the most powerful

244 Metabolomic studies and transporter assays revealed that

245 Most NMR metabolomic studies are based on (1)H 1D spectroscopy, s

246 omatography (HILIC) is gaining popularity in metabolomics studies due to its enhanced performance ove

247 nostic yield of both targeted and untargeted metabolomics studies is low when assessing patients with

248 Our metabolomics studies revealed that cis-polyisoprenoids a

249 e human studies as well as key findings from metabolomics studies using mice, Drosophila, and zebrafi

250 dels for health state-prediction in 35 human metabolomics studies, representing 148 individual data s

251 MetaboLights is a database for metabolomics studies, their raw experimental data and as

252 BSCAN and OPTICS) that were used in previous metabolomics studies.

253 A discovery metabolomic study was performed in a large cohort of adu

254 s in one of the largest non-targeted urinary metabolomics study to date demonstrate the role of the u

255 alable data processing capacity for targeted metabolomics, substantially curtailing the time required

256 was determined using mass spectrometry-based metabolomics targeting nutrients and bioactive metabolit

257 Integrating proteomic and metabolomic techniques enabled the identification of >10

258 A combination of genomic and metabolomic techniques identified differences in nucleot

259 Among metabolomics techniques, NMR spectroscopy is a sophistic

260 o further validate the high accuracy of this metabolomics test and to determine if this is maintained

261 We demonstrate by unbiased and targeted metabolomics that the mammalian brain oxidizes a substan

262 nstruction and functional studies coupled to metabolomics that unravel the interplay between biosynth

263 cal utility of GUM with traditional targeted metabolomics (TM) as a screening tool in patients with e

264 l culture media, and mass spectrometry-based metabolomics to detect and quantify (13)C-labeled metabo

265 We aimed to use non-targeted urine metabolomics to discover biomarkers and improve risk pre

266 ased in many application fields ranging from metabolomics to environmental science.

267 e, we introduce a workflow for dose-response metabolomics to evaluate chemicals that potentially affe

268 Here, we used RNA-sequencing and metabolomics to examine early glaucoma in DBA/2J mice.

269 we primarily focus on applying dose-response metabolomics to find off-target effects of drugs.

270 It has been argued that the application of metabolomics to gene-edited crops would present value in

271 table isotopes are routinely employed by NMR metabolomics to highlight specific metabolic processes a

272 iplinary approach including isotope-resolved metabolomics to show that in Drosophila melanogaster, Ac

273 y, we combined photobiology, proteomics, and metabolomics to understand the underlying role of sustai

274 Advances in genomic, transcriptomic and metabolomic tools for conifers have improved our underst

275 for thousand traits, e.g. transcriptomic and metabolomic traits.

276 rough real-time bioenergetic measurement and metabolomics upregulated glycolysis and suppressed oxida

277 of fatty acid synthesis enzymes and targeted metabolomics using a mouse model and human specimens.

278 Metabolomics using nontargeted tandem mass spectrometry

279 Untargeted metabolomics was conducted using a Q-Exactive Hybrid Qua

280 Global, untargeted metabolomics was conducted via ultra performance liquid

281 Mass spectrometry-based metabolomics was performed on 24-hour urine samples coll

282 An untargeted UPLC/MS-based metabolomics was performed to discover metabolites profi

283 Metabolomics was performed using a high-throughput proto

284 Following treatment, targeted metabolomics was utilized to evaluate myocardial substra

285 autochthonous STS murine models and unbiased metabolomics, we demonstrate that glutamine metabolism s

286 By combining this genetic tool with metabolomics, we identify circulating alpha-hydroxybutyr

287 graphy-mass spectrometry-based (LC-MS-based) metabolomics, we profiled more than 1600 molecules in re

288 Using comparative metabolomics, we show that a pathway mediating formation

289 Stable-labelled isotopes and metabolomics were employed to address the influence of n

290 tegy has the potential to fill in the gap in metabolomics where liquid chromatography-MS-based analys

291 genomic/epigenetic markers, microbiome, and metabolomics will be measured in older adult women sampl

292 Recent advances integrating metabolomics with genomics are discussed, yielding new i

293 n plant phytochemistry, we combined targeted metabolomics with insect herbivore bioassays and with a

294 d sensory quality, by integrating non-target metabolomics with sensory data.

295 Integration of metabolomics with the on-going genomic and phenotypic st

296 A new untargeted NMR-based metabolomic workflow based on dissolution dynamic nuclea

297 However, some adjustments of the metabolomics workflow are needed before HRMS-based metho

298 Moreover, glycogen is measured within the metabolomics workflow.

299 We then employ metabolomics workflows utilizing gas chromatography mass

300 We hypothesized stable isotope metabolomics would identify increased glucose, glutamine