ライフサイエンスコーパス: lipidomic

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

2 issue as revealed by untargeted and targeted lipidomics.

3 reat interest for basic science and clinical lipidomics.

4 alysis, including proteomics, glycomics, and lipidomics.

5 ids has become a high impact goal in shotgun lipidomics.

6 rent to conventional mass spectrometry-based lipidomics.

7 d identification for LC-MS and MALDI imaging lipidomics.

8 hromatography-mass spectrometry, and shotgun lipidomics.

9 ro-Raman assay designed for single-organelle lipidomics.

10 an increasingly prominent discipline called lipidomics.

11 on the brain lipidome, we performed Shotgun Lipidomics.

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

13 t often used for untargeted metabolomics and lipidomics.

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

15 quencing, targeted metabolomics, and shotgun lipidomics.

16 on; this presents an analytical challenge in lipidomics.

17 were quantified using high-coverage targeted lipidomics.

18 Plasma metabolomics and lipidomics (1871 biochemicals) revealed 18 markedly elev

19 Collectively, these data suggest that lipidomic abnormalities predate the onset of psychosis a

20 nterventions for CM through metabolomics and lipidomics advances.

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

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

23 Lipidomic analyses aim for absolute quantification of li

24 Lipidomic analyses demonstrated that saroglitazar also r

25 Functional and lipidomic analyses further link AMPK regulation of ferro

26 Lipidomic analyses indicate that TAG lipolysis releases

27 Comparative lipidomic analyses of 19 euryarchaeal and crenarchaeal s

28 Lipidomic analyses of Arabidopsis (Arabidopsis thaliana)

29 Lipidomic analyses of retinal tissues revealed an abnorm

30 Comprehensive lipidomic analyses revealed a dramatic increase in membr

31 hy with time-of-flight mass spectrometry and lipidomic analyses using an ultra-high-performance liqui

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

33 Based on previous lipidomic analyses, we conducted a mouse trial of a stea

34 om unbiased, discovery-based metabolomic and lipidomic analyses, which revealed a dynamic adaptation

35 Finally, gene expression and lipidomics analyses cells revealed that LXRbeta regulate

36 Quantitative proteomics/lipidomics analyses revealed that the combined treatment

37 Mechanistically, lipidomics analyses showed that increased ceramides in P

38 In-depth lipidomics analyses showed that loss of MEK5/ERK5 pertur

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

40 S-based FAHFA hydrolysis assays, LC-MS-based lipidomics analyses, and activity-based protein profilin

41 Using oxylipin chemical treatments, lipidomic analysis and functional genomic approaches, we

42 ng high-throughput screening with a targeted lipidomic analysis and the mouse neuroblastoma cell line

43 rum proteins reduced in susceptible animals; lipidomic analysis detected differences in lipid species

44 Our lipidomic analysis is the most thorough such study of th

45 Lipidomic analysis of AT identified a structurally uniqu

46 ld age.Objectives: To perform a quantitative lipidomic analysis of lipids and the surfactant proteins

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

48 isease, we conducted an exploratory unbiased lipidomic analysis of plasma from non-diseased controls

49 Integrated metabolomic and lipidomic analysis of plasma or cyst fluid can improve d

50 A lipidomic analysis of primary human keratinocytes reveal

51 We performed lipidomic analysis on 5-FU-resistant (DLD-1/5-FU) and -s

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

53 Lipidomic analysis revealed a significant increase in en

54 Lipidomic analysis revealed differences between plasma l

55 Lipidomic analysis revealed profound lipid abnormalities

56 An unbiased lipidomic analysis reveals significant differences in en

57 Systematic lipidomic analysis showed a coordinate regulation of eth

58 Lipidomic analysis showed increased levels of unsaturate

59 In this study, lipidomic analysis was carried out with plasma samples o

60 Serum lipidomic analysis was performed in 263 CHR individuals

61 cytometry, 3H-labeled palmitic acid uptake, lipidomic analysis, confocal and electron microscopy ima

62 oving lipids which are targeted molecules in lipidomic analysis, inorganic species and other molecule

63 Using lipidomic analysis, we described a sphingolipid biosynth

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

65 Through a comprehensive lipidomic analysis, we have identified this chemo-protec

66 lementary LC-TIMS-MS separations for regular lipidomic analysis, with the main emphasis in the elucid

67 allow for a combined proteomics-metabolomics-lipidomics analysis (Multi-ABLE).

68 onstrating the potential for high-throughput lipidomics analysis by this approach.

69 Lipidomics analysis during zebrafish development demonst

70 main existing lipid name dialects enabling a lipidomics analysis in a high-throughput fashion, and (3

71 s been demonstrated to be a powerful tool in lipidomics analysis in which the differentiation of the

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

73 Lipidomics analysis of the kdsr(I105R) mutant revealed c

74 tography tandem mass spectrometry (LC-MS/MS) lipidomics analysis of tissue extracts prepared using tw

75 Shotgun lipidomics analysis performed on mutant alleles of the p

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

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

78 Lipidomics analysis showed that ScBOR1p co-isolates with

79 In the present study, an advanced lipidomics analysis using high spectral resolution matri

80 umentation, which could be widely applied in lipidomics analysis.

81 strategy provides a new tool for unsaturated lipidomics analysis.

82 n with the Folch extraction-based whole lung lipidomics analysis.

83 d structure and concentrations prove to make lipidomics analytically challenging.

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

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

86 Investigation of the lipidomic and carbohydrate profiles with the transcripto

87 The current study investigated early lipidomic and coagulation pathway protein signatures of

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

89 Lipidomic and metabolomic analyses detected 851 lipid an

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

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

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

93 Lipidomic and proteomic analysis of exosomes from mouse

94 ough delivery of a diverse range of genomic, lipidomic and proteomic cargo to neighbouring and distan

95 Lipidomic and proteomic datasets were integrated into a

96 Lipidomic and proteomic profiles implicated these 3 very

97 Comprehensive lipidomic and structural analyses of the lungs revealed

98 Lipidomic and transcriptomic analyses were performed in

99 PUFA-PIs were identified using spatial lipidomics and determined to be determinant markers of m

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

101 Here lipidomics and genetic models demonstrate a central role

102 We then performed lipidomics and identified an increase in the lipokine 12

103 Using siRNA combined with lipidomics and membrane fluidity assays (FRAP and Laurda

104 noprecipitation, and ChIP assays, along with lipidomics and MS-based approaches, we show that increas

105 pression networks, proteomics, metabolomics, lipidomics and phenomics with informatics techniques to

106 ere assessed through integrated and targeted lipidomics and semitargeted proteomics approaches.

107 otein particles were isolated for untargeted lipidomics and to quantify TG.

108 A combined lipidomics and transcriptomics analysis was performed on

109 of subcellular Raman spectro-microscopy with lipidomics and transcriptomics suggests possible lipid r

110 find through histological, ultrastructural, lipidomic, and genetic experiments in mice that adipocyt

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

112 the study of MDD and performed metabolomic, lipidomic, and proteomic profiling on serum plus several

113 In-depth functional, lipidomic, and transcriptional characterization indicate

114 of B cell survival by employing metabolomic, lipidomic, and transcriptomic analyses.

115 ication using a combination of metabolomics, lipidomics, and metabolic tracers to measure fatty acid

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

117 Here, using quantitative proteomics, lipidomics, and mouse genetics, we characterize epiderma

118 RNA sequencing, and undirected metabolomics, lipidomics, and proteomics, along with bioinformatics te

119 Integrating metabolomics, lipidomics, and transcriptomics, we link changes in the

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

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

122 This study showed that the shotgun lipidomic approach along with NL scans is a useful means

123 A lipidomic approach showed the lack of enhancement of ste

124 Using a lipidomics approach, we demonstrated that eicosanoid pro

125 anism of 5-FU resistance using comprehensive lipidomic approaches.

126 Metabolomics and lipidomics are valuable tools for screening the metaboli

127 tivity will further increase the power of MS lipidomics as a vital tool for impactful biochemical ana

128 dies, including proteomics, metabolomics and lipidomics, as well as investigations of multimodal biom

129 tor, a software that fully supports targeted lipidomics assay development.

130 Adopting a lipidomic-assisted approach, two new families of previou

131 first time we introduced an electrochemical lipidomics based on electrical impedance spectroscopy (E

132 We extended a new lipidomics-based liquid chromatographic-mass spectrometr

133 Causal pathways involving lipidomics, body mass index (BMI), and PWD were assessed

134 While shotgun lipidomics can be a sensitive approach to FA detection,

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

136 Global metabolomic and lipidomic changes were analyzed using ultra-performance

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

138 ccessfully applied for a comprehensive polar lipidomic characterization of olive oils.

139 We used lipidomics combined with genetic and biochemical assays

140 The lipidomics community is in need of benchmark reference v

141 was to decipher the local transcriptomic and lipidomic consequences of rs174547 in tricuspid aortic v

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

143 Further advancement of the discipline of lipidomics critically depends on the capability of high-

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

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

146 lgorithm which accurately simulates LC-MS/MS lipidomic data acquisition performance for a benchtop qu

147 We investigated lipidomic data acquisitions across nine different MS ins

148 For generation of untargeted lipidomic data, a comprehensive ultra-high performance l

149 ponents, highly customized for interrogating lipidomic data.

150 MS-DIAL 4 helps standardize lipidomics data and discover lipid pathways.

151 ommonly used normalization methods using six lipidomics data sets from three large cohort studies (83

152 ucible and efficient analysis of HILIC-IM-MS lipidomics data, we developed an open-source Python pack

153 id enrichment analyses and visualizations of lipidomics data.

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

155 ares-discriminant analysis of the MS/MS(ALL) lipidomic dataset, identified lipids driving the cluster

156 By intersecting lipidomic datasets from suspension-induced differentiati

157 Thin layer chromatography and lipidomics demonstrated that the extracted lipids were f

158 We explored metabolomics and lipidomics differences between 352 cases of islet autoim

159 Mass spectrometry (MS)-based targeted lipidomics enables the robust quantification of selected

160 Currently, a typical lipidomics experiment may track hundreds to thousands of

161 Lipidomic experiments suggest that MCFAs and LCFAs inter

162 Large-scale untargeted lipidomics experiments involve the measurement of hundre

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

164 ciations P(FDR) < 0.05 were detected between lipidomic features and clinical biomarkers.

165 sion was used to assess associations between lipidomic features and clinical biomarkers.

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

167 address the following pressing issues in the lipidomics field: (1) to simplify the implementation of

168 (31)P NMR-based lipidomics has become an important topic in a wide range

169 Lipidomics has emerged as a powerful technique for large

170 Shotgun lipidomics has recently gained popularity for lipid anal

171 nization spectrometry, also known as shotgun lipidomics, has emerged as a rapid and powerful toolbox

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

173 andem mass spectrometry-based lipid mediator lipidomics identified that the n-3 PUFA-derived speciali

174 Lipidomics identified two lipids previously speculated t

175 a provide mechanistic insight into an immuno-lipidomic imbalance in severe COVID-19.

176 , transcriptomics, proteomics, metabolomics, lipidomics, immunological assays, and flux balance analy

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

178 e of the JCI, Poss et al. conducted targeted lipidomics in a case-control study involving over 600 in

179 eral recent applications of metabolomics and lipidomics in CM.

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

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

182 correlations between ATR-FTIR, clinical, and lipidomic information.

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

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

185 zation (MALDI) matrix for spatially resolved lipidomics investigations that reacts with lipids in Pat

186 A combination of nano-DESI MSI and LC-MS/MS lipidomics is particularly useful for exploring changes

187 Mass spectrometry-based lipidomics is the primary tool for the structural analys

188 of lipid species in a biological sample, or lipidomics, is a valuable approach to elucidating diseas

189 friendly online workflow which leverages the lipidomics knowledge base and resources of the LIPID MAP

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

191 oris-supplemented mice were characterized by lipidomics mass spectrometry analysis.

192 redate the onset of psychosis and that blood lipidomic measures may be useful in predicting which CHR

193 mpact on whole-body physiology, we performed lipidomics, metabolomics, and RNA-seq analyses on a mous

194 files including proteomics, transcriptomics, lipidomics, metabolomics, autoantibodies and immune cell

195 peripheral organs as determined via targeted lipidomics methods.

196 published genome-wide association studies of lipidomics (n=4034) and BMI (n=734 481), and genetic ass

197 e aimed to link single lipid metabolites and lipidomics networks to the risk of developing HF.

198 Furthermore, lipidomics networks were linked to HF risk in a multiste

199 Electrical lipidomics of the secretome shed new lights in cell free

200 r disease (CVD).METHODSWe performed targeted lipidomics on serum samples from individuals with famili

201 nd validated 2 lipid metabolites and several lipidomics patterns as potential novel biomarkers of HF

202 Marked lipidomic perturbations occurred within 24 h post-irradi

203 gested that MELDI will contribute to current lipidomics pipelines with a deeper level of structural i

204 Our expanded targeted lipidomics platform (569 species across 32 classes) allo

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

206 ays of recovery, analysed using metabolomics/lipidomics platforms and compared to exercise controls.

207 website, long recognized as a leading global lipidomics portal.

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

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

210 The lipidomic profile of CSLCs revealed increased levels of

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

212 Our data also demonstrate its key role in lipidomic profile, and as a risk factor in the pathogene

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

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

215 Our results show that lipidomic profiles capture information beyond traditiona

216 We sought to examine the role of maternal lipidomic profiles in risk of FA development in offsprin

217 ectrometry (FAIMS), predictive metabolic and lipidomic profiles of routine breast core needle biopsie

218 erous breast tissues utilizing metabolic and lipidomic profiles.

219 cer diagnosis based on altered metabolic and lipidomic profiles.

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

221 8, Abca1, Ldlr, Srebf1, and Scd-1 Untargeted lipidomic profiling in liver tissue revealed 132 lipid s

222 We performed lipidomic profiling of algae single cells with a 120-wel

223 Lipidomic profiling of human alphaS-expressing yeast rev

224 ypoxia were assessed through metabolomic and lipidomic profiling of human plasma taken from 198 human

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

226 Lipidomic profiling of the lungs of superinfected mice r

227 Lipidomic profiling reveals that SNX14 (KO) cells increa

228 Lipidomic profiling showed that the most abundant cystei

229 Using lipidomic profiling we show that peroxisomes contribute

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

231 f the SV membrane by mass-spectrometry-based lipidomic profiling, and further reveal that VAMP2 forms

232 Using metabolomic and lipidomic profiling, we analyzed their plasma and plasma

233 Using CRISPR screening and lipidomic profiling, we identify the hypoxia-inducible f

234 hemical analysis, and UPLC-ESI(+/-)TOFMS for lipidomic profiling.

235 a yield and purity permitting proteomic and lipidomic profiling.

236 Lipidomics profiling covering >1000 lipids was performed

237 own method, 'nativeomics', unifying 'omics' (lipidomics, proteomics, metabolomics) analysis with nati

238 Quantitative bottom-up shotgun lipidomics relies on molecular species-specific "signatu

239 Shotgun lipidomics relies on the direct infusion of total lipid

240 membranes by dietary lipids leads to robust lipidomic remodeling to preserve membrane physical prope

241 o facilitate prediction of CCS in broadscale lipidomics research.

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

243 The lipidomics results showed that there was a significant a

244 Metabolomics and lipidomics revealed dysregulated metabolites in AMD RPE

245 Lipidomics revealed large numbers of eoxPL formed within

246 Genome-wide genetic screens and lipidomics revealed the dynamics of DoxSL accumulation a

247 An extensive lipidomic screen of choline derivatives showed that tota

248 Lipidomic screening showed elevated beta-D-galactosylsph

249 the utility of LipidMS, we investigated the lipidomic serum profile of patients diagnosed with nonal

250 Interrogation of the lipidomics signature revealed abnormal cardiolipin remod

251 hensively profiled for primary metabolic and lipidomic signatures based on gas chromatography time-of

252 luding contributions by the recently founded Lipidomics Standards Initiative.

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

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

255 ements have been limited to metabolomics and lipidomic studies.

256 se lipids are often neglected also in recent lipidomic studies.

257 spectrometry (MS) has significantly advanced lipidomic studies.

258 Plasma lipidomics studies also identified changes in etherlipid

259 Metabolomics and lipidomics studies are becoming increasingly popular but

260 MALDI-MS presents an effective platform for lipidomic study of single cells and for environmental to

261 This MS-based lipidomic study quantified the postnatal adaptations to

262 mpting us to conduct an unbiased exploratory lipidomic study that identified specific ceramide specie

263 techniques, which limits the application in lipidomics study.

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

265 Lipidomic techniques can improve our understanding of co

266 Emerging lipidomic technologies have enabled researchers to disse

267 (2020) show by cell-specific lipidomics that Trem2 deficiency leads to cholesterol es

268 Lipidomics, the comprehensive measurement of lipids with

269 SI-MS) is the most widely used technology in lipidomics, the potential for multiple charging presents

270 In this study we utilized lipidomics to analyze serum samples from mice exposed to

271 Here we used electron microscopy and lipidomics to characterize defects in Fatp4(-/-) mice.

272 Here, we perform comprehensive lipidomics to create a lipid network map during ZIKV inf

273 d underscore the utility of metabolomics and lipidomics to determine the underlying physiological mec

274 The new application of lipidomics to developing assays for lipolytic enzymes re

275 Here, we used mass spectrometry-based lipidomics to map the mediator lipidome during the trans

276 s spectrometry based vacuolar proteomics and lipidomics to show that recycling of two specific groups

277 ng for developers of mass spectrometry-based lipidomics tools, (2) to offer a tool that unifies and n

278 However, the conventional lipidomics tools, such as mass spectrometry, cannot inve

279 thod expands the capabilities of Raman-based lipidomics toward the analysis of single organelles with

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

281 High resolution LC-MS untargeted lipidomics using data independent acquisition (DIA) has

282 A combined approach of genomics and lipidomics was applied to identify and characterize a hu

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

284 Lipidomics was performed on first trimester maternal pla

285 assessed at fasting state, while untargeted lipidomics was undertaken using all blood samples.

286 Here, UHPLC-MS/MS lipidomics was used to measure dynamic changes in lipid

287 roducing the disciplines of metabolomics and lipidomics, we describe a mass spectrometry-based metabo

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

289 gms and cell sorting with RNA sequencing and lipidomics, we find that wild-type microglia acquire a d

290 volunteers and using mass spectrometry-based lipidomics, we found that n-3PUFA mainly affected the ep

291 of CRISPR-based genetic screens and unbiased lipidomics, we identified calcineurin B homologous prote

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

293 romatography-mass spectrometry (LC-MS)-based lipidomics were used to examine serum and hepatic lipids

294 Here, using a proteomic and lipidomic-wide systems genetic approach, we interrogated

295 un and targeted analysis in metabolomics and lipidomics without requiring extensive in-house acquisit

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

297 uid-chromatography mass spectrometry (LC-MS) lipidomics workflow, we elucidated more than 100 isomers

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

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

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