ライフサイエンスコーパス: lipidomic

1 rometry after direct infusion (i.e., shotgun lipidomics).

2 on mass spectrometry (DIMS) metabolomics and lipidomics.

3 on the brain lipidome, we performed Shotgun Lipidomics.

4 e ionization detection and mass spectrometry lipidomics.

5 ification remains a significant challenge in lipidomics.

6 idimensional mass spectrometry-based shotgun lipidomics.

7 uantification of lipids is a primary goal in lipidomics.

8 with serum total and LDL cholesterol, and AT lipidomics.

9 t often used for untargeted metabolomics and lipidomics.

10 hogenesis of diseases but are challenging in lipidomics.

11 tleneck in high-throughput bottom-up shotgun lipidomics.

12 quencing, targeted metabolomics, and shotgun lipidomics.

13 on; this presents an analytical challenge in lipidomics.

14 In direct infusion/injection (or shotgun) lipidomics, accurate downstream identification and quant

15 To examine the possibility that lipidomic actions of PLIN2 deletion contribute to suppre

16 Metabolomics and lipidomics aim to profile the wide range of metabolites

17 Current mass spectrometry-based lipidomics aims to comprehensively cover wide ranges of

18 Mass-spectrometry-based lipidomics aims to identify as many lipid species as pos

19 Lipidomics aims to quantitatively define lipid classes,

20 Although shotgun lipidomics allows for high-throughput analysis, low-abun

21 f native lipids and their modifications make lipidomic analyses challenging.

22 Our lipidomic analyses identified 12(S)-hydroxyeicosatetrano

23 Lipidomic analyses indicate that TAG lipolysis releases

24 Comparative lipidomic analyses of 19 euryarchaeal and crenarchaeal s

25 Lipidomic analyses of Arabidopsis (Arabidopsis thaliana)

26 nce, quantitative RT-PCR, enzyme assays, and lipidomic analyses of endocannabinoid content to uncover

27 Through detailed lipidomic analyses of liver metabolites in DIOs, we demo

28 Lipidomic analyses of released NEFAs from lipoproteins d

29 nd (13) C-acetate labeling and comprehensive lipidomic analyses of these mutants showed a selective d

30 Lipidomic analyses reveal that endoplasmic reticulum mem

31 Comparative lipidomic analyses revealed qualitative and quantitative

32 ys using immunohistochemistry, proteomic and lipidomic analyses show a massive accumulation of hemogl

33 Lipidomic analyses showed that 8% of the phospholipid mo

34 Transcriptomic and LC-MS/MS-based targeted lipidomic analyses were conducted to identify the effect

35 Transcriptomes and lipidomics analyses indicate that Notch activation suppr

36 Accordingly, lipidomics analyses show increased PE levels in yeast su

37 Hormone and lipidomics analyses showed higher levels of JA, JA-isole

38 Fatty acid incorporation and lipidomics analyses showed that LPIN1 knockdown blocks p

39 , and fatty acids were determined by using a lipidomic analysis and gas chromatography-mass spectrome

40 Interestingly, lipidomic analysis indicates that both PLs and glyceroli

41 Liver lipidomic analysis of 3-week-old IR-exposed males reveal

42 We performed a targeted lipidomic analysis of a variety of phospholipids, sphing

43 Lipidomic analysis of adipose tissue revealed the existe

44 Lipidomic analysis of annexin A2-deficient mouse cells i

45 Lipidomic analysis of AT identified a structurally uniqu

46 proach for high-throughput and comprehensive lipidomic analysis of biological samples using ultrahigh

47 Lipidomic analysis of exposed D. magna supported the hyp

48 Lipidomic analysis of knockout mutant lines of these fiv

49 ate UHPSFC/ESI-MS method is suitable for the lipidomic analysis of large sample sets in the clinical

50 Lipidomic analysis of Madin-Darby canine kidney cell mem

51 ing these PA sensors and was combined with a lipidomic analysis of PA in intracellular compartments.

52 Lipidomic analysis of patients with microbial invasion o

53 Here we report on a lipidomic analysis of pollen lipids that can serve as a

54 A comparative lipidomic analysis of the crfad7 mutant and the wild typ

55 d cell parasite stages and the comprehensive lipidomic analysis of this organelle.

56 These findings validate a new organism-wide lipidomic analysis platform for drug-resistant mycobacte

57 Lipidomic analysis revealed differences between plasma l

58 Lipidomic analysis revealed that the steatosis was assoc

59 An unbiased lipidomic analysis reveals significant differences in en

60 Lipidomic analysis showed that this compound was in fact

61 Lipidomic analysis shows a marked increase of diacylglyc

62 We conducted a lipidomic analysis to identify serum lipids associated w

63 Lipidomic analysis was performed in the same samples by

64 id species (310) were measured by a targeted lipidomic analysis with liquid chromatography electrospr

65 approaches, as well as in vitro and in vivo lipidomic analysis, and determined that fully saturated

66 Using a global lipidomic analysis, we found that 12,13-diHOME was incre

67 Here we highlight a variety of methods for lipidomics analysis at the tissue, cellular and subcellu

68 Comparative lipidomics analysis identified more than 1,000 molecular

69 Using global lipidomics analysis in experimental traumatic brain inju

70 ss spectrometry (MS) have made comprehensive lipidomics analysis of complex tissues relatively common

71 A systematic lipidomics analysis of LPO in the interaction of Arabido

72 Lipidomics analysis of lungs from post-natal day 7, day

73 s a primary hallmark of NPC1 deficiency, our lipidomics analysis revealed the buildup of several spec

74 otein level, mass spectrometry-based shotgun lipidomics analysis showed significant differences in th

75 of the lipid concentration levels in shotgun lipidomics analysis was tracked over a period of 3.5 yea

76 extraction is usually the first step toward lipidomics analysis.

77 Serum and synovial fluid were collected for lipidomic and adipokine analyses.

78 We combined detailed lipidomic and biochemical analyses to characterize the f

79 We performed lipidomic and functional analyses of MFSD2A in mucosal b

80 Lipidomic and gene array analyses revealed that caveolin

81 In this study, we employed lipidomic and metabolomic approaches to identify the pla

82 synthetic functionality with transcriptomic, lipidomic and metabolomic approaches.

83 In this study, we followed the genomic, lipidomic and metabolomic changes associated with the se

84 st tumors exhibit features on the proteomic, lipidomic and metabolomic level that are distinct from n

85 atty acid (PUFA) to the corresponding diols, lipidomic and metabolomic targets of EPHX2 were assessed

86 support the involvement of EPHX2-associated lipidomic and oxylipin dysregulations in AN, and reveal

87 ography/mass spectrometry-based profiling of lipidomic and primary metabolism changes in the liver an

88 In situ lipidomic and proteomic analyses on brain tissue section

89 Lipidomic and proteomic analysis of exosomes from mouse

90 Taken together, lipidomic and proteomic data thus show that a large part

91 Lipidomic and proteomic profiles implicated these 3 very

92 Lipidomic and transcriptomic measurements and analyses r

93 o investigate this relationship, we utilized lipidomic and transcriptomic methods to evaluate the eff

94 Using both lipidomics and a sterol response element reporter assay,

95 HDLs were isolated, and lipidomics and differential proteomics tests were perfor

96 Mass spectrometry-based lipidomics and enzymatic assays demonstrate the targetin

97 We applied mass spectrometry-based lipidomics and gene and protein expression measurements

98 ights the hypothesis generating potential of lipidomics and identifies novel region-specific lipid an

99 nalytical approach will be extended to other lipidomics and metabolomics applications.

100 ratio in direct-MS analyses (e.g., "shotgun" lipidomics and MS imaging).

101 Using mass spectroscopic lipidomics and subcellular fractionation, we demonstrate

102 A combined lipidomics and transcriptomics analysis was performed on

103 proresolving lipid mediator lipidomics and/or protein expression, and identifying as

104 ions, multiomic studies combining proteomic, lipidomic, and metabolomic analyses are vastly increasin

105 High-throughput metabolomic, lipidomic, and proteomic analyses were performed, as wel

106 hensively assessed differences in metabolic, lipidomic, and transcriptomic profiles between paired hu

107 Longitudinal proteomic, lipidomics, and metabolomic analyses revealed that hepat

108 The combination of metabolomics, lipidomics, and phosphoproteomics that incorporates trip

109 S) has been used to support metabolomics and lipidomics applications to facilitate the separation and

110 In addition to such lipidomics applications, the exchange method should have

111 m (Waters) specifically for metabolomics and lipidomics applications; extracting polar metabolites an

112 This robust, systematic lipidomic approach constitutes a rich, new source of bio

113 A lipidomic approach showed the lack of enhancement of ste

114 Herein, we describe our lipidomic approach to detecting preclinical Alzheimer's

115 Here, we used a mass spectrometry-based lipidomic approach to evaluate the impact of a chronic u

116 Here we adapted a targeted lipidomic approach using mass spectrometry and have dete

117 Therefore, an unbiased lipidomic approach was used to profile the arachidonic a

118 quid chromatography-tandem mass spectrometry lipidomic approach.

119 The assessed shotgun lipidomics approach showed to be remarkably robust and r

120 Herein, we describe a shotgun lipidomics approach that exploits charge-switch derivati

121 Herein, we describe a shotgun lipidomics approach that utilizes a single-phase methyl

122 Using a nontargeted lipidomics approach, we demonstrate that plants lacking

123 Using a lipidomics approach, we demonstrated that eicosanoid pro

124 Using a targeted mass spectrometry-based lipidomics approach, we found that in db/db mice, PGE2/D

125 Using a targeted lipidomics approach, we observed that Toll-like receptor

126 lets, then an overview of the new generation lipidomic approaches, their recent application to platel

127 brain lipids using a variety of traditional lipidomic approaches.

128 Two recent studies in Cell apply lipidomics approaches to identify bioactive lipid mediat

129 mistry) and high throughput metabolomics and lipidomics approaches using mass spectrometry.

130 mers, particularly in an approach of shotgun lipidomics, are still missing.

131 Here, we used targeted lipidomics-based approaches to profile the time course o

132 All samples were differentiated using a lipidomics-based data workup employing multivariate data

133 s and developed a sensitive, facile, shotgun lipidomics-based method for quantification of these comp

134 available yet in some other "omics" fields, lipidomics being one of them.

135 ncil Human Nutrition Research, and Cambridge Lipidomics Biomarker Research Initiative.

136 presents a tremendous improvement for tissue lipidomics by integrating genetics, fluorescence microsc

137 Time-course data of transcriptomics and lipidomics can be queried or downloaded from http://www.

138 To exploit the specificity of LCM for lipidomics, catapulted tissue patches were directly coll

139 cted a mass spectrometry-based survey of the lipidomic changes associated with symbiosis in the sea a

140 modelling, which is associated with specific lipidomic changes in mouse and human HDL.

141 strate that hypercholesterolemia induces HDL lipidomic changes, losing phosphatidylcholine-lipid spec

142 Although the hippocampus presented relevant lipidomic changes, the amygdala and, to a greater extent

143 We used lipidomics combined with genetic and biochemical assays

144 The lipidomics community is in need of benchmark reference v

145 gest that patch clamp-assisted single neuron lipidomics could be broadly applied to investigate neuro

146 This nontargeted lipidomics CTS approach was applied in both positive- an

147 We used plasma lipidomic data (1202 pedigreed individuals, 319 lipid sp

148 We investigated lipidomic data acquisitions across nine different MS ins

149 e, and concentration features generated with lipidomic data showed high recognition capability with m

150 ddition, associations with the metabolic and lipidomic data with aspartate amino transaminase (AST),

151 n integrative analysis of transcriptomic and lipidomic data, revealing large-scale coordination betwe

152 Lipidomics data also show an overall reduction in lipid

153 We demonstrate that lipidomics data generated in samples from three differen

154 ocessing and visualization of LC-MS/MS-based lipidomics data.

155 of nine different multivariate metabolic and lipidomics datasets with classical toxicological paramet

156 GC-MS lipidomics demonstrate that this reduction correlated wi

157 Comparative metabolomics and lipidomics demonstrated that acetate is used as a nutrit

158 We found lipidomics (Direct Infusion-Mass Spectrometry) data the

159 Lipidomic discovery and multivariate analysis (MVA) were

160 Lipidomics enables the assessment of hundreds of lipid s

161 In lipidomics epidemiological studies should avoid mixed-ge

162 g transcriptomics, metabolomics, proteomics, lipidomics, epigenetic modifications, and the microbiome

163 assignment of identifications in untargeted lipidomics experiments.

164 hromatography (LC)-MS-based metabolomics and lipidomics experiments.

165 Shotgun lipidomics exploits the unique chemical and physical pro

166 We established that gender is a major lipidomic factor, whose impact is strongly enhanced by h

167 of (1) traditional risk factors only or (2) lipidomic features and traditional risk factors.

168 Inclusion of lipidomic features in multivariate analyses significantl

169 assessed the ability of models incorporating lipidomic features to improve stratification of patient

170 Combining lipidomic features with traditional risk factors signifi

171 e in 2003 and the ensuing development of the lipidomics field have revealed that lipid metabolites ar

172 ing platforms continue to spur growth in the lipidomics field, more structurally unique lipid species

173 rometry (TWIM-MS) is of high interest to the lipidomics field.

174 ted roles of mitochondrial bioenergetics and lipidomic flux in modulating mPTP opening promoting the

175 synthase results in accelerated cardiolipin lipidomic flux that impacts multiple aspects of mitochon

176 his review, we will discuss the potential of lipidomics for cardiovascular research.

177 idimensional mass-spectrometry-based shotgun lipidomics for global analysis of fatty acids including

178 The field of lipidomics has been significantly advanced by mass spect

179 Lipidomics has emerged as a powerful technique for large

180 Lipidomics has experienced rapid progress, mainly becaus

181 ophospholipid (LPL) species based on shotgun lipidomics has not been established.

182 mass spectrometry analysis of lipids (termed lipidomics) has begun to alter our understanding of how

183 Recent advances in lipidomics have led to identification of plentiful lipid

184 We conclude that comprehensive lipidomics images generated by MALDI-MSI report accurate

185 supports both targeted and untargeted LC-MS lipidomics, implementing data acquisition, user-friendly

186 ples of the power of mass spectrometry-based lipidomics in addressing cell biological questions.

187 her, by exploiting the principles of shotgun lipidomics in combination with a novel strategy of sampl

188 -MS/MS offers new possibilities for targeted lipidomics in lipoproteins as well as for oxidative stre

189 hiatry, neurology, and neuro-oncology and of lipidomics in neurology will be reviewed.

190 nges in DNA methylation, gene expression and lipidomics in response to DR and aging in female mouse l

191 Using LC-UV-MS-MS-based lipidomics in tandem with functional screening at the si

192 The results demonstrated that untargeted lipidomics, in conjunction with chemometric tools has a

193 us mean concentrations derived from the NIST Lipidomics Interlaboratory Comparison Exercise.

194 nt an inflation-fixation method that enables lipidomic investigations of whole lung samples and resec

195 Lipidomics is a novel and emerging research field that m

196 Thus, lipidomics is an efficient discovery tool that informs g

197 Lipidomics is an emerging field in biomedical research t

198 Modern lipidomics is largely dependent upon structural ontologi

199 Lipidomics is the comprehensive analysis of molecular li

200 most significant challenges in contemporary lipidomics lies in the separation and identification of

201 a seasoned community of wet lab scientists, lipidomics lies significantly behind proteomics in the a

202 Lipidomic mass spectrometry, in vitro coculture and cond

203 the isotopic distribution in the context of lipidomics, metabolomics, glycoscience, or even space ex

204 Using a lipidomic method, we show that thrombin, collagen, or io

205 peripheral organs as determined via targeted lipidomics methods.

206 Lipidomics of human blood plasma is an emerging biomarke

207 Lipidomics of Pxmp2(-/-)mammary fat pad showed a decreas

208 ts can be used for comprehensive, untargeted lipidomics of the most abundant lipid species in whole b

209 Because lipidomics offers a biologically and analytically attrac

210 Lipidomics on platelet membrane extracts showed that pso

211 ids that accumulate in obesity, we performed lipidomics on quadriceps muscles from obese mice with im

212 trometry, either by direct infusion (shotgun lipidomics) or coupled with liquid chromatography.

213 ads to highly comprehensive and quantitative lipidomic outputs through rapid profiling analyses, such

214 Marked lipidomic perturbations occurred within 24 h post-irradi

215 lipids were performed using the established lipidomics platform based on ultra-performance liquid ch

216 s rationale, this study presents a validated lipidomics platform to map the fecal lipidome, which int

217 ation and the application of high-throughput lipidomics platforms.

218 Moreover, Lipostar integrates the lipidomic processes with a full metabolite identificatio

219 Lipidomic profile comparisons of LNM versus the primary

220 trometry to characterize the metabolomic and lipidomic profile of 39 human EC and 17 healthy endometr

221 The lipidomic profile of CSLCs revealed increased levels of

222 levels of M1/M2 polarization markers and the lipidomic profile of eicosanoids were analyzed.

223 ss spectrometry images utilizing the average lipidomic profile of esophageal adenocarcinoma.

224 try imaging (DESI-MSI) to provide an in situ lipidomic profile of genetically modified tissues from a

225 terms of agronomic performance and also the lipidomic profile of seed oil.

226 s are characterized by a distinct cord blood lipidomic profile that includes reduced major choline-co

227 roorganisms is associated with a stereotypic lipidomic profile, and that analysis of AF may help in t

228 Resveratrol modifies the lipidomic profile, increases oxidative capacities and de

229 In Bayesian models, the lipidomic profiles (over 1,700 lipids) accounted for >60

230 While comprehensive lipidomic profiles have been generated for D. melanogast

231 ariate analysis illustrates normalization of lipidomic profiles in recovered ANs.

232 crease in plasma NEFA, but shifts the plasma lipidomic profiles in ways that reflect the biochemical

233 The MSIs revealed consistent lipidomic profiles of individual tissue types found with

234 pectrometry enabled rapid capture of precise lipidomic profiles, providing 319 unique species.

235 Plasma lipidomic profiling (n = 126, >95% Caucasian, 48-65 year

236 A lipidomic profiling approach led to the identification o

237 We applied proteomic and lipidomic profiling approaches to Pten-null NASH liver a

238 A expression, (1)H NMR-based metabolomic and lipidomic profiling at 1/10 LC50 revealed distinct patte

239 ion, liquid chromatography/mass spectrometry lipidomic profiling of 141 lipid species was performed o

240 d screening, but comprehensive acyl-specific lipidomic profiling of dried blood spots has yet to be e

241 e activation of MYC, used here as a tool for lipidomic profiling of MYC-dependent lung tumors formed

242 Lipidomic profiling of skeletal muscle from HFD-fed mice

243 In summary, lipidomic profiling of the effect of chronic stress allo

244 these observations, we applied comprehensive lipidomic profiling to specimens collected from healthy

245 chain FA uptake, shifts in FA distribution (lipidomic profiling), and metabolic turnover, specifical

246 ds for use in laboratories for comprehensive lipidomic profiling.

247 a yield and purity permitting proteomic and lipidomic profiling.

248 This study applied mass spectrometry-based lipidomics profiling to population-based cohorts and ide

249 Lipidomic, proteomic, and cell biologic approaches uncov

250 Here, we have combined lipidomic, proteomic, and transcriptomic studies of avoc

251 Using combined lipidomics, proteomics and bioinformatics, we isolated a

252 Contemporary lipidomics protocols are dependent on conventional tande

253 means: (1) the comparison with conventional lipidomic quantitation using SRM scans on a triple quadr

254 Lipidomic regulation of mitochondrial cardiolipin conten

255 Shotgun lipidomics relies on the direct infusion of total lipid

256 velopment and observe dramatic developmental lipidomic remodeling during the first 60 postnatal days,

257 main limitations for LC-MS-based untargeted lipidomics reside in the lack of adequate computational

258 Within a gender-restricted cohort lipidomics revealed a compositional signature that indic

259 Targeted lipidomics revealed that LEI105 concentration-dependentl

260 ion with a dedicated high-resolution shotgun lipidomics routine enables both quantification and in-de

261 alysis of porcine brain extract as a complex lipidomic sample, where 24 lipid classes containing 436

262 An extensive lipidomic screen of choline derivatives showed that tota

263 Through an unbiased mass spectrometry-based lipidomic screening, we quantified hundreds of lipid spe

264 t ideal for high-throughput metabolomics and lipidomics screening-e.g., for clinical phenotyping, dru

265 Shotgun lipidomics showed that MUFAs were significantly reduced

266 nt study a combination of RNA-sequencing and lipidomic strategies.

267 Using untargeted and targeted lipidomics strategies, we identify two long-chain satura

268 A "shotgun" lipidomics strategy consisting of sequential functional

269 A novel mass spectrometry (MS)-based lipidomics strategy that exposes glycerophospholipids to

270 C-MS based fatty acid profiling with shotgun lipidomics strategy.

271 Metabolomic and lipidomic studies measure and discover metabolic and lip

272 samples is an essential requirement for the lipidomic studies.

273 ent with the oxygenation pattern observed in lipidomics studies.

274 This integrative proteomic and lipidomic study from mouse to human and from liver to bl

275 ovel aspects of COX pathway metabolism, this lipidomic study revealed a dramatic increase in epoxygen

276 This unbiased lipidomic survey detected quantitative alterations (>2-f

277 Emerging lipidomic technologies have enabled researchers to disse

278 We show by using lipidomics that thrombin-activated human platelets gener

279 metry-based workflow for enhanced structural lipidomics that, in a single experiment, can yield almos

280 in combination with mass spectrometry-based lipidomics to discover that DDHD2 regulates brain trigly

281 Here, we used targeted serum lipidomics to identify a new panel of GPCs, and tested w

282 Although the application of lipidomics to platelet biology is still in its infancy,

283 We used (13)C tracers and lipidomics to probe fatty acid metabolism, including des

284 onal activation could be maintained, we used lipidomics to quantify AAMvarphi-derived eicosanoids, po

285 in combination with chemical proteomics and lipidomics, to determine the impact of acute DAGL blocka

286 By extending lipidomic UPLC-MS/MS approaches to simultaneously quanti

287 Eventually, the potential of fecal lipidomics was exemplified within a clinical context of

288 on remains a bottleneck of modern untargeted lipidomics, we developed LipidHunter, a new open source

289 Here, by employing comprehensive lipidomics, we identify omega-3 (omega-3) fatty acid epo

290 ric data were collected, and biochemical and lipidomics were measured in plasma samples from particip

291 erent lipid classes were profiled by shotgun lipidomics with the use of a triple-quadrupole mass spec

292 Here, we describe a lipidomics workflow and open-source software package for

293 of the DMS separation in this unique shotgun lipidomics workflow is its ability to separate many isob

294 When integrated into a larger lipidomics workflow, LipidMatch may increase the probabi

295 ctable separation technique within a shotgun lipidomics workflow, with a special focus on phospholipi

296 into traditional LC-MS-based metabolomic and lipidomic workflows.

297 and isomeric lipids that by standard shotgun lipidomics workflows are difficult to assess precisely,

298 to conventional LC-MS-based metabolomics and lipidomics workflows has been shown to enhance peak capa

299 nce values to assess the validity of various lipidomics workflows in providing accurate quantitative

300 ts indicate that adding CCS to databases and lipidomics workflows increases the specificity and selec