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1 rometry after direct infusion (i.e., shotgun lipidomics).
2 ro-Raman assay designed for single-organelle lipidomics.
3  an increasingly prominent discipline called lipidomics.
4  on the brain lipidome, we performed Shotgun Lipidomics.
5 with serum total and LDL cholesterol, and AT lipidomics.
6 t often used for untargeted metabolomics and lipidomics.
7 tleneck in high-throughput bottom-up shotgun lipidomics.
8 quencing, targeted metabolomics, and shotgun lipidomics.
9 on; this presents an analytical challenge in lipidomics.
10 on mass spectrometry (DIMS) metabolomics and lipidomics.
11 e ionization detection and mass spectrometry lipidomics.
12 ification remains a significant challenge in lipidomics.
13 idimensional mass spectrometry-based shotgun lipidomics.
14 uantification of lipids is a primary goal in lipidomics.
15 hogenesis of diseases but are challenging in lipidomics.
16 seful for a diverse range of applications in lipidomics.
17 y protein arrays and mass spectrometry-based lipidomics.
18 alysis, including proteomics, glycomics, and lipidomics.
19 were quantified using high-coverage targeted lipidomics.
20 issue as revealed by untargeted and targeted lipidomics.
21 reat interest for basic science and clinical lipidomics.
22 hromatography-mass spectrometry, and shotgun lipidomics.
23 ids has become a high impact goal in shotgun lipidomics.
24 rent to conventional mass spectrometry-based lipidomics.
25 d identification for LC-MS and MALDI imaging lipidomics.
26                      Plasma metabolomics and lipidomics (1871 biochemicals) revealed 18 markedly elev
27                                              Lipidomics, a major part of metabolomics, constitutes th
28    In direct infusion/injection (or shotgun) lipidomics, accurate downstream identification and quant
29 nterventions for CM through metabolomics and lipidomics advances.
30                             Metabolomics and lipidomics aim to profile the wide range of metabolites
31              Current mass spectrometry-based lipidomics aims to comprehensively cover wide ranges of
32                      Mass-spectrometry-based lipidomics aims to identify as many lipid species as pos
33                                              Lipidomics aims to quantitatively define lipid classes,
34                             Although shotgun lipidomics allows for high-throughput analysis, low-abun
35                 Finally, gene expression and lipidomics analyses cells revealed that LXRbeta regulate
36                           Transcriptomes and lipidomics analyses indicate that Notch activation suppr
37                      Quantitative proteomics/lipidomics analyses revealed that the combined treatment
38                                 Accordingly, lipidomics analyses show increased PE levels in yeast su
39                                  Hormone and lipidomics analyses showed higher levels of JA, JA-isole
40                             Mechanistically, lipidomics analyses showed that increased ceramides in P
41                                     In-depth lipidomics analyses showed that loss of MEK5/ERK5 pertur
42                 Fatty acid incorporation and lipidomics analyses showed that LPIN1 knockdown blocks p
43 S-based FAHFA hydrolysis assays, LC-MS-based lipidomics analyses, and activity-based protein profilin
44 allow for a combined proteomics-metabolomics-lipidomics analysis (Multi-ABLE).
45   Here we highlight a variety of methods for lipidomics analysis at the tissue, cellular and subcellu
46 lasses prior to analysis, the "comprehensive lipidomics analysis by separation simplification" (CLASS
47 onstrating the potential for high-throughput lipidomics analysis by this approach.
48                                              Lipidomics analysis during zebrafish development demonst
49                                  Comparative lipidomics analysis identified more than 1,000 molecular
50 main existing lipid name dialects enabling a lipidomics analysis in a high-throughput fashion, and (3
51                                 Using global lipidomics analysis in experimental traumatic brain inju
52 s been demonstrated to be a powerful tool in lipidomics analysis in which the differentiation of the
53 ss spectrometry (MS) have made comprehensive lipidomics analysis of complex tissues relatively common
54                                 A systematic lipidomics analysis of LPO in the interaction of Arabido
55                                              Lipidomics analysis of lungs from post-natal day 7, day
56                                              Lipidomics analysis of the kdsr(I105R) mutant revealed c
57 tography tandem mass spectrometry (LC-MS/MS) lipidomics analysis of tissue extracts prepared using tw
58                                      Shotgun lipidomics analysis performed on mutant alleles of the p
59 s a primary hallmark of NPC1 deficiency, our lipidomics analysis revealed the buildup of several spec
60 otein level, mass spectrometry-based shotgun lipidomics analysis showed significant differences in th
61                                              Lipidomics analysis showed that ScBOR1p co-isolates with
62 (CLIP) in blocking MHC class II, comparative lipidomics analysis shows that human cluster of differen
63            In the present study, an advanced lipidomics analysis using high spectral resolution matri
64 of the lipid concentration levels in shotgun lipidomics analysis was tracked over a period of 3.5 yea
65 n with the Folch extraction-based whole lung lipidomics analysis.
66  extraction is usually the first step toward lipidomics analysis.
67 umentation, which could be widely applied in lipidomics analysis.
68 strategy provides a new tool for unsaturated lipidomics analysis.
69 d structure and concentrations prove to make lipidomics analytically challenging.
70                                   Using both lipidomics and a sterol response element reporter assay,
71       PUFA-PIs were identified using spatial lipidomics and determined to be determinant markers of m
72                      HDLs were isolated, and lipidomics and differential proteomics tests were perfor
73                      Mass spectrometry-based lipidomics and enzymatic assays demonstrate the targetin
74           We applied mass spectrometry-based lipidomics and gene and protein expression measurements
75                                         Here lipidomics and genetic models demonstrate a central role
76                            We then performed lipidomics and identified an increase in the lipokine 12
77 ights the hypothesis generating potential of lipidomics and identifies novel region-specific lipid an
78                    Using siRNA combined with lipidomics and membrane fluidity assays (FRAP and Laurda
79 nalytical approach will be extended to other lipidomics and metabolomics applications.
80 ratio in direct-MS analyses (e.g., "shotgun" lipidomics and MS imaging).
81 noprecipitation, and ChIP assays, along with lipidomics and MS-based approaches, we show that increas
82 pression networks, proteomics, metabolomics, lipidomics and phenomics with informatics techniques to
83             PGE(2) formation was analyzed by lipidomics and polymorphonuclear leukocyte (PMN) infiltr
84 ere assessed through integrated and targeted lipidomics and semitargeted proteomics approaches.
85                     Using mass spectroscopic lipidomics and subcellular fractionation, we demonstrate
86 otein particles were isolated for untargeted lipidomics and to quantify TG.
87                                   A combined lipidomics and transcriptomics analysis was performed on
88 of subcellular Raman spectro-microscopy with lipidomics and transcriptomics suggests possible lipid r
89 trospray ionization-tandem MS-based mediator lipidomics and unbiased image analysis in mouse dissocia
90                  proresolving lipid mediator lipidomics and/or protein expression, and identifying as
91 rotein science, systems biology, proteomics, lipidomics, and cell biology in general.
92 ication using a combination of metabolomics, lipidomics, and metabolic tracers to measure fatty acid
93                      Longitudinal proteomic, lipidomics, and metabolomic analyses revealed that hepat
94         Here, using quantitative proteomics, lipidomics, and mouse genetics, we characterize epiderma
95             The combination of metabolomics, lipidomics, and phosphoproteomics that incorporates trip
96 RNA sequencing, and undirected metabolomics, lipidomics, and proteomics, along with bioinformatics te
97 etry has earned a central analytical role in lipidomics, and this role will continue to grow with tec
98                    Integrating metabolomics, lipidomics, and transcriptomics, we link changes in the
99 S) has been used to support metabolomics and lipidomics applications to facilitate the separation and
100                          In addition to such lipidomics applications, the exchange method should have
101 m (Waters) specifically for metabolomics and lipidomics applications; extracting polar metabolites an
102                         The assessed shotgun lipidomics approach showed to be remarkably robust and r
103                Herein, we describe a shotgun lipidomics approach that exploits charge-switch derivati
104                Herein, we describe a shotgun lipidomics approach that utilizes a single-phase methyl
105                          Using a nontargeted lipidomics approach, we demonstrate that plants lacking
106                                      Using a lipidomics approach, we demonstrated that eicosanoid pro
107     Using a targeted mass spectrometry-based lipidomics approach, we found that in db/db mice, PGE2/D
108                             Using a targeted lipidomics approach, we observed that Toll-like receptor
109             Two recent studies in Cell apply lipidomics approaches to identify bioactive lipid mediat
110 mistry) and high throughput metabolomics and lipidomics approaches using mass spectrometry.
111 tly, there exist two mass spectrometry-based lipidomics approaches, one based on a division of lipids
112                             Metabolomics and lipidomics are valuable tools for screening the metaboli
113 mers, particularly in an approach of shotgun lipidomics, are still missing.
114 tivity will further increase the power of MS lipidomics as a vital tool for impactful biochemical ana
115 dies, including proteomics, metabolomics and lipidomics, as well as investigations of multimodal biom
116 tor, a software that fully supports targeted lipidomics assay development.
117  first time we introduced an electrochemical lipidomics based on electrical impedance spectroscopy (E
118                       Here, we used targeted lipidomics-based approaches to profile the time course o
119      All samples were differentiated using a lipidomics-based data workup employing multivariate data
120                            We extended a new lipidomics-based liquid chromatographic-mass spectrometr
121 s and developed a sensitive, facile, shotgun lipidomics-based method for quantification of these comp
122  available yet in some other "omics" fields, lipidomics being one of them.
123 ncil Human Nutrition Research, and Cambridge Lipidomics Biomarker Research Initiative.
124                    Causal pathways involving lipidomics, body mass index (BMI), and PWD were assessed
125 presents a tremendous improvement for tissue lipidomics by integrating genetics, fluorescence microsc
126                                While shotgun lipidomics can be a sensitive approach to FA detection,
127        To exploit the specificity of LCM for lipidomics, catapulted tissue patches were directly coll
128                                      We used lipidomics combined with genetic and biochemical assays
129                                          The lipidomics community is in need of benchmark reference v
130 gest that patch clamp-assisted single neuron lipidomics could be broadly applied to investigate neuro
131     Further advancement of the discipline of lipidomics critically depends on the capability of high-
132                             This nontargeted lipidomics CTS approach was applied in both positive- an
133                                              Lipidomics data also show an overall reduction in lipid
134                  MS-DIAL 4 helps standardize lipidomics data and discover lipid pathways.
135                          We demonstrate that lipidomics data generated in samples from three differen
136 ommonly used normalization methods using six lipidomics data sets from three large cohort studies (83
137 ucible and efficient analysis of HILIC-IM-MS lipidomics data, we developed an open-source Python pack
138 id enrichment analyses and visualizations of lipidomics data.
139 ocessing and visualization of LC-MS/MS-based lipidomics data.
140 of nine different multivariate metabolic and lipidomics datasets with classical toxicological paramet
141                                        GC-MS lipidomics demonstrate that this reduction correlated wi
142                 Comparative metabolomics and lipidomics demonstrated that acetate is used as a nutrit
143                Thin layer chromatography and lipidomics demonstrated that the extracted lipids were f
144                 We explored metabolomics and lipidomics differences between 352 cases of islet autoim
145                                     We found lipidomics (Direct Infusion-Mass Spectrometry) data the
146                                              Lipidomics enables the assessment of hundreds of lipid s
147        Mass spectrometry (MS)-based targeted lipidomics enables the robust quantification of selected
148                                           In lipidomics epidemiological studies should avoid mixed-ge
149 g transcriptomics, metabolomics, proteomics, lipidomics, epigenetic modifications, and the microbiome
150                         Currently, a typical lipidomics experiment may track hundreds to thousands of
151                       Large-scale untargeted lipidomics experiments involve the measurement of hundre
152 hromatography (LC)-MS-based metabolomics and lipidomics experiments.
153  assignment of identifications in untargeted lipidomics experiments.
154                                      Shotgun lipidomics exploits the unique chemical and physical pro
155 e in 2003 and the ensuing development of the lipidomics field have revealed that lipid metabolites ar
156 ing platforms continue to spur growth in the lipidomics field, more structurally unique lipid species
157 rometry (TWIM-MS) is of high interest to the lipidomics field.
158 address the following pressing issues in the lipidomics field: (1) to simplify the implementation of
159 his review, we will discuss the potential of lipidomics for cardiovascular research.
160 idimensional mass-spectrometry-based shotgun lipidomics for global analysis of fatty acids including
161                              (31)P NMR-based lipidomics has become an important topic in a wide range
162                                 The field of lipidomics has been significantly advanced by mass spect
163                                              Lipidomics has emerged as a powerful technique for large
164                                              Lipidomics has experienced rapid progress, mainly becaus
165 ophospholipid (LPL) species based on shotgun lipidomics has not been established.
166                                      Shotgun lipidomics has recently gained popularity for lipid anal
167 mass spectrometry analysis of lipids (termed lipidomics) has begun to alter our understanding of how
168 nization spectrometry, also known as shotgun lipidomics, has emerged as a rapid and powerful toolbox
169                           Recent advances in lipidomics have led to identification of plentiful lipid
170 andem mass spectrometry-based lipid mediator lipidomics identified that the n-3 PUFA-derived speciali
171                                              Lipidomics identified two lipids previously speculated t
172               We conclude that comprehensive lipidomics images generated by MALDI-MSI report accurate
173 , transcriptomics, proteomics, metabolomics, lipidomics, immunological assays, and flux balance analy
174  supports both targeted and untargeted LC-MS lipidomics, implementing data acquisition, user-friendly
175 e of the JCI, Poss et al. conducted targeted lipidomics in a case-control study involving over 600 in
176 ples of the power of mass spectrometry-based lipidomics in addressing cell biological questions.
177 eral recent applications of metabolomics and lipidomics in CM.
178 her, by exploiting the principles of shotgun lipidomics in combination with a novel strategy of sampl
179 -MS/MS offers new possibilities for targeted lipidomics in lipoproteins as well as for oxidative stre
180 hiatry, neurology, and neuro-oncology and of lipidomics in neurology will be reviewed.
181 nges in DNA methylation, gene expression and lipidomics in response to DR and aging in female mouse l
182                      Using LC-UV-MS-MS-based lipidomics in tandem with functional screening at the si
183     The results demonstrated that untargeted lipidomics, in conjunction with chemometric tools has a
184 us mean concentrations derived from the NIST Lipidomics Interlaboratory Comparison Exercise.
185 zation (MALDI) matrix for spatially resolved lipidomics investigations that reacts with lipids in Pat
186                                              Lipidomics is a novel and emerging research field that m
187                                        Thus, lipidomics is an efficient discovery tool that informs g
188                                              Lipidomics is an emerging field in biomedical research t
189                                       Modern lipidomics is largely dependent upon structural ontologi
190  A combination of nano-DESI MSI and LC-MS/MS lipidomics is particularly useful for exploring changes
191                                              Lipidomics is the comprehensive analysis of molecular li
192                      Mass spectrometry-based lipidomics is the primary tool for the structural analys
193  of lipid species in a biological sample, or lipidomics, is a valuable approach to elucidating diseas
194 friendly online workflow which leverages the lipidomics knowledge base and resources of the LIPID MAP
195  most significant challenges in contemporary lipidomics lies in the separation and identification of
196  a seasoned community of wet lab scientists, lipidomics lies significantly behind proteomics in the a
197 oris-supplemented mice were characterized by lipidomics mass spectrometry analysis.
198 mpact on whole-body physiology, we performed lipidomics, metabolomics, and RNA-seq analyses on a mous
199 files including proteomics, transcriptomics, lipidomics, metabolomics, autoantibodies and immune cell
200  the isotopic distribution in the context of lipidomics, metabolomics, glycoscience, or even space ex
201                                          The lipidomics method was applied to serum samples from 192
202 peripheral organs as determined via targeted lipidomics methods.
203 published genome-wide association studies of lipidomics (n=4034) and BMI (n=734 481), and genetic ass
204 e aimed to link single lipid metabolites and lipidomics networks to the risk of developing HF.
205                                 Furthermore, lipidomics networks were linked to HF risk in a multiste
206                                      Shotgun lipidomics of adipose tissue from wild-type mice demonst
207 icle presents a novel method for small-scale lipidomics of bacterial cells by integrating extraction
208                                              Lipidomics of human blood plasma is an emerging biomarke
209                                              Lipidomics of Pxmp2(-/-)mammary fat pad showed a decreas
210                                      Shotgun lipidomics of skeletal muscle revealed a decreased conte
211 ts can be used for comprehensive, untargeted lipidomics of the most abundant lipid species in whole b
212                                   Electrical lipidomics of the secretome shed new lights in cell free
213                                      Because lipidomics offers a biologically and analytically attrac
214                                              Lipidomics on platelet membrane extracts showed that pso
215 ids that accumulate in obesity, we performed lipidomics on quadriceps muscles from obese mice with im
216 r disease (CVD).METHODSWe performed targeted lipidomics on serum samples from individuals with famili
217 trometry, either by direct infusion (shotgun lipidomics) or coupled with liquid chromatography.
218 nd validated 2 lipid metabolites and several lipidomics patterns as potential novel biomarkers of HF
219 gested that MELDI will contribute to current lipidomics pipelines with a deeper level of structural i
220                        Our expanded targeted lipidomics platform (569 species across 32 classes) allo
221  lipids were performed using the established lipidomics platform based on ultra-performance liquid ch
222 s rationale, this study presents a validated lipidomics platform to map the fecal lipidome, which int
223 ays of recovery, analysed using metabolomics/lipidomics platforms and compared to exercise controls.
224 ation and the application of high-throughput lipidomics platforms.
225 website, long recognized as a leading global lipidomics portal.
226                                              Lipidomics profiling covering >1000 lipids was performed
227   This study applied mass spectrometry-based lipidomics profiling to population-based cohorts and ide
228                               Using combined lipidomics, proteomics and bioinformatics, we isolated a
229 own method, 'nativeomics', unifying 'omics' (lipidomics, proteomics, metabolomics) analysis with nati
230                                 Contemporary lipidomics protocols are dependent on conventional tande
231               Quantitative bottom-up shotgun lipidomics relies on molecular species-specific "signatu
232                                      Shotgun lipidomics relies on the direct infusion of total lipid
233 crochip-based lipid extraction into cellular lipidomics research.
234 o facilitate prediction of CCS in broadscale lipidomics research.
235  main limitations for LC-MS-based untargeted lipidomics reside in the lack of adequate computational
236                                          The lipidomics results showed that there was a significant a
237            Within a gender-restricted cohort lipidomics revealed a compositional signature that indic
238                             Metabolomics and lipidomics revealed dysregulated metabolites in AMD RPE
239                                              Lipidomics revealed large numbers of eoxPL formed within
240                                     Targeted lipidomics revealed that LEI105 concentration-dependentl
241              Genome-wide genetic screens and lipidomics revealed the dynamics of DoxSL accumulation a
242 ion with a dedicated high-resolution shotgun lipidomics routine enables both quantification and in-de
243 t ideal for high-throughput metabolomics and lipidomics screening-e.g., for clinical phenotyping, dru
244                                      Shotgun lipidomics showed that MUFAs were significantly reduced
245                         Interrogation of the lipidomics signature revealed abnormal cardiolipin remod
246 luding contributions by the recently founded Lipidomics Standards Initiative.
247                Using untargeted and targeted lipidomics strategies, we identify two long-chain satura
248                                  A "shotgun" lipidomics strategy consisting of sequential functional
249         A novel mass spectrometry (MS)-based lipidomics strategy that exposes glycerophospholipids to
250 C-MS based fatty acid profiling with shotgun lipidomics strategy.
251                                       Plasma lipidomics studies also identified changes in etherlipid
252                             Metabolomics and lipidomics studies are becoming increasingly popular but
253 ent with the oxygenation pattern observed in lipidomics studies.
254  techniques, which limits the application in lipidomics study.
255                             We show by using lipidomics that thrombin-activated human platelets gener
256                 (2020) show by cell-specific lipidomics that Trem2 deficiency leads to cholesterol es
257 metry-based workflow for enhanced structural lipidomics that, in a single experiment, can yield almos
258                                              Lipidomics, the comprehensive measurement of lipids with
259 SI-MS) is the most widely used technology in lipidomics, the potential for multiple charging presents
260                    In this study we utilized lipidomics to analyze serum samples from mice exposed to
261         Here we used electron microscopy and lipidomics to characterize defects in Fatp4(-/-) mice.
262               Here, we perform comprehensive lipidomics to create a lipid network map during ZIKV inf
263 d underscore the utility of metabolomics and lipidomics to determine the underlying physiological mec
264                       The new application of lipidomics to developing assays for lipolytic enzymes re
265  in combination with mass spectrometry-based lipidomics to discover that DDHD2 regulates brain trigly
266                 Here, we used targeted serum lipidomics to identify a new panel of GPCs, and tested w
267        Here, we used mass spectrometry-based lipidomics to map the mediator lipidome during the trans
268                  Although the application of lipidomics to platelet biology is still in its infancy,
269                    We used (13)C tracers and lipidomics to probe fatty acid metabolism, including des
270 onal activation could be maintained, we used lipidomics to quantify AAMvarphi-derived eicosanoids, po
271 s spectrometry based vacuolar proteomics and lipidomics to show that recycling of two specific groups
272  in combination with chemical proteomics and lipidomics, to determine the impact of acute DAGL blocka
273 ng for developers of mass spectrometry-based lipidomics tools, (2) to offer a tool that unifies and n
274                    However, the conventional lipidomics tools, such as mass spectrometry, cannot inve
275 thod expands the capabilities of Raman-based lipidomics toward the analysis of single organelles with
276             High resolution LC-MS untargeted lipidomics using data independent acquisition (DIA) has
277          A combined approach of genomics and lipidomics was applied to identify and characterize a hu
278           Eventually, the potential of fecal lipidomics was exemplified within a clinical context of
279                                              Lipidomics was performed on first trimester maternal pla
280  assessed at fasting state, while untargeted lipidomics was undertaken using all blood samples.
281                            Here, UHPLC-MS/MS lipidomics was used to measure dynamic changes in lipid
282 roducing the disciplines of metabolomics and lipidomics, we describe a mass spectrometry-based metabo
283 on remains a bottleneck of modern untargeted lipidomics, we developed LipidHunter, a new open source
284 gms and cell sorting with RNA sequencing and lipidomics, we find that wild-type microglia acquire a d
285 volunteers and using mass spectrometry-based lipidomics, we found that n-3PUFA mainly affected the ep
286 of CRISPR-based genetic screens and unbiased lipidomics, we identified calcineurin B homologous prote
287             Here, by employing comprehensive lipidomics, we identify omega-3 (omega-3) fatty acid epo
288 ric data were collected, and biochemical and lipidomics were measured in plasma samples from particip
289 romatography-mass spectrometry (LC-MS)-based lipidomics were used to examine serum and hepatic lipids
290 erent lipid classes were profiled by shotgun lipidomics with the use of a triple-quadrupole mass spec
291 un and targeted analysis in metabolomics and lipidomics without requiring extensive in-house acquisit
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 uid-chromatography mass spectrometry (LC-MS) lipidomics workflow, we elucidated more than 100 isomers
296 ctable separation technique within a shotgun lipidomics workflow, with a special focus on phospholipi
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

 
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