ライフサイエンスコーパス: CE-MS

1 CE-MS analysis was performed using a neutral capillary c

2 CE-MS/MS was used to investigate the interaction between

3 (CE-MS/MS)n is a practical technique since each CE-MS/MS

4 ntroduced to address the undersampling: (1) (CE-MS/MS)n using dynamic exclusion.

5 results of a Metabo-ring trial involving 16 CE-MS platforms among 13 different laboratories spanning

6 In addition, CE-MS was used to confirm major 8-aminopyrene-1,3,6-tris

7 , thereby expanding the capability of CE and CE-MS for profiling biomolecules.

8 the first time, online sample collection and CE-MS for the analysis of single cells.

9 bolite was found in common between LC-MS and CE-MS analysis as statistically significant.

10 for metabolite extraction across UPLC-MS and CE-MS platforms accommodating different columns and ioni

11 Both pH gradient CEX-MS and CE-MS were found to be powerful for the separation of Ce

12 he interface can be used for both nLC-MS and CE-MS.

13 ttranslational modifications using CE-MS and CE-MS/MS is demonstrated using this method with < 10 fmo

14 ary analytical techniques (LC-MS, GC/MS, and CE-MS) with regards to analytical method optimization (s

15 ifications than the current state-of-the-art CE-MS/MS-based proteomic analyses with similar amounts o

16 tained with sheathless CE-VSSI-MS as well as CE-MS separations with electrospray ionization interfaci

17 RoboCap automates CE-MS for limited sample amounts, paving the way to elec

18 rophoresis coupled via an electrospray-based CE-MS interface to high-resolution mass spectrometry for

19 ibe the application of a microfluidics-based CE-MS system for analysis of released glycans, glycopept

20 e fractionated using RP-HPLC and analyzed by CE-MS yielding a total of 28538 quantified peptides that

21 = 4) lysed on the capillary and analyzed by CE-MS/MS demonstrated a range of 17-40 proteins and 23-5

22 of the APTS-labeled glycans was confirmed by CE-MS.

23 rs in fish serum glycans are investigated by CE-MS/MS.

24 beled internal standards for quantitation by CE-MS.

25 88 pg of the HeLa protein digest standard by CE-MS/MS yielded ~1100 +/- 46 and ~160 +/- 59 proteins,

26 be identified also in their native state by CE-MS without derivatization.

27 was 0.2 mug.mL(-1) (100 times lower than by CE-MS, 20 mug.mL(-1)).

28 cells for sample collection and on-capillary CE-MS analysis.

29 nt sample injection with our spray-capillary CE-MS analysis platform.

30 To our knowledge, the spray-capillary CE-MS platform developed here represents one of the most

31 e capability of the modified spray-capillary CE-MS platform to perform top-down proteomics analysis o

32 Here, we developed a spray-capillary-CE-MS platform for ultrasensitive top-down proteomics an

33 However, current single-cell CE-MS methods often rely on offline microsampling proces

34 y (RoboCap) platform that grants single-cell CE-MS with automation for proteomes limited to less than

35 Based on these characteristics, (CE-MS/MS)n can be performed in which multiple CE-MS/MS s

36 Compared to the classical CE-MS approaches, the integration of t-ITP combined with

37 However, current CE-MS devices rely on liquid sample extracts, which rest

38 rophoresis with mass spectrometry detection (CE-MS) to assess hemoglobin glycation in whole blood lys

39 he bandwidth utilization of tandem MS during CE-MS.

40 -MS/MS subanalysis consumes <10 nL, and each CE-MS/MS subanalysis takes approximately 10 min; therefo

41 mental variables are manipulated during each CE-MS/MS subanalysis in order to maximize sequence cover

42 ge (every approximately 100 m/z) during each CE-MS/MS subanalysis without using dynamic exclusion.

43 -MS/MS)n is a practical technique since each CE-MS/MS subanalysis consumes <10 nL, and each CE-MS/MS

44 ptide-level identifications of the evaluated CE-MS- and RP-nLC-MS-based methods.

45 mative resource of ready-to-use experimental CE-MS techniques and a better understanding of the CZE-M

46 Therefore, we describe the first CE-MS device capable of untargeted metabolite profiling

47 a the electro-kinetically pumped sheath-flow CE-MS interface for large-scale top-down delineation of

48 achieved by the Nucleos'ID search following CE-MS/MS analysis.

49 resis-correlative (Eco) data acquisition for CE-MS.

50 coating were highlighted as major assets for CE-MS studies involving native proteins.

51 nd equal sample concentration conditions for CE-MS while providing complementary data to LC-MS, demon

52 engine, called Nucleos'ID, was developed for CE-MS/MS and LC-MS/MS users.

53 cell and prove the tremendous potential for CE-MS/MS on-capillary sample processing for high sensiti

54 Furthermore, CE-MS conditions were optimized to provide maximum separ

55 Empowered by this automated IA-CE-MS approach, implementing biotransformation studies a

56 an for independent on-line digestion by IMER-CE-MS (2.5 mug mL(-1)) and on-line preconcentration by A

57 The repeatability of AA-SPE-IMER-CE-MS was adequate (at 0.5 mug mL(-1),% RSD ranged from

58 ectrophoresis-mass spectrometry (AA-SPE-IMER-CE-MS).

59 with optimum performance, similarly to IMER-CE-MS.

60 tion protocol to expand lipidome coverage in CE-MS beyond the analysis of hydrophilic/polar metabolit

61 minal acetylated peptides were identified in CE-MS/MS analyses at this sample amount, corresponding t

62 Despite mounting interest in CE-MS for trace-sensitive bottom-up proteomics, the fide

63 ates that recent improvements in interfacing CE-MS coupling, leading to a considerably improved sensi

64 To evaluate the system, LC-MS and LC-CE-MS analyses of protein digests were performed and com

65 ass spectrometer for comprehensive online LC-CE-MS of proteolytic digests.

66 The same LC-CE-MS method was also used to characterize the N-linked

67 otal site occupancy were quantified using LC-CE-MS data.

68 In this Levitational CE-MS platform, droplets containing proteome digests wer

69 considerable improvement over sheath-liquid CE-MS.

70 ures were found with classical sheath-liquid CE-MS.

71 y electrophoresis-mass spectrometry methods (CE-MS) for glycomics and glycoproteomics is limited by t

72 he device has been used to perform microchip CE-MS analysis of peptides and proteins with efficiencie

73 he ADC was analyzed using the same microchip CE-MS method.

74 distribution generated from the microfluidic CE-MS data compared favorably to results from infusion-E

75 beta-Hb was calculated from the microfluidic CE-MS data using peak areas generated from extracted ion

76 samples were analyzed using the microfluidic CE-MS method and a clinically used immunoassay to measur

77 ented here demonstrate that the microfluidic CE-MS method is capable of rapidly assessing Hb and HSA

78 With a migration window of ~60 min, CE-MS/MS identified ~2000 +/- 53 proteins on average fro

79 In this work, multisegment injection (MSI)-CE-MS was used as multiplexed separation platform for hi

80 MSI-CE-MS in conjunction with PeakMeister allows for rapid a

81 MSI-CE-MS offers an unprecedented approach to enhance sample

82 that demonstrated good agreement between MSI-CE-MS and validated FIA-MS/MS methods within an accredit

83 in human urine were reliably measured by MSI-CE-MS via serial injection of seven urine samples within

84 lly, nontargeted metabolite profiling by MSI-CE-MS with temporal signal pattern recognition revealed

85 , n = 55) when measuring urinary HP-G by MSI-CE-MS/MS as compared to total hydrolyzed urinary HP by G

86 30-fold compared to manual processing of MSI-CE-MS data by an experienced analyst using vendor softwa

87 llary electrophoresis-mass spectrometry (MSI-CE-MS) and CE with indirect UV detection are used, respe

88 llary electrophoresis-mass spectrometry (MSI-CE-MS) as a multiplexed separation platform for metabolo

89 llary electrophoresis-mass spectrometry (MSI-CE-MS) was developed to provide comparable sample throug

90 llary electrophoresis-mass spectrometry (MSI-CE-MS), a high-throughput separation platform (<4 min/sa

91 llary electrophoresis-mass spectrometry (MSI-CE-MS).

92 lectrophoresis-tandem mass spectrometry (MSI-CE-MS/MS).

93 We demonstrate that MSI-CE-MS enables serial injections of 10 samples within a s

94 E-MS/MS)n can be performed in which multiple CE-MS/MS subanalyses (injections followed by analyses) a

95 Testing of this novel CE-MS system showed its ability to characterize proteomi

96 utilizes the most significant advantages of CE-MS/MS, including economy of sample size, fast analysi

97 re, we performed a comparative assessment of CE-MS/MS and two reversed-phased nano-liquid chromatogra

98 oducibility and identification capability of CE-MS by employing effective electrophoretic mobility (m

99 elatively quantified with CEX-MS, in case of CE-MS the proteoform coverage was >200.

100 lows easy, sensitive, and robust coupling of CE-MS.

101 This paper describes the development of CE-MS technology with on-line LIF detection that allows

102 This work demonstrates the potential of CE-MS to provide a comprehensive glycosylation profile w

103 or this is a reported lack of sensitivity of CE-MS when compared to gas chromatography-mass spectrome

104 these advantages, the long-term stability of CE-MS remains a major obstacle hampering its widespread

105 However, the use of CE-MS in comparison to other separation techniques remai

106 eful optimization and rigorous validation of CE-MS protocols are crucial for developing a rapid, low

107 g multivariate statistical analysis based on CE-MS metabolomics of CSF samples was obtained using 73

108 ances of this new software were evaluated on CE-MS/MS data from nucleoside analyses of already well-d

109 titative ultralow-volume sampling and online CE-MS analysis, which successfully characterized hundred

110 ction times and direct MS analysis or online CE-MS analysis.

111 -based sample preparation with our optimized CE-MS platform.

112 eloped using large-scale bottom-up proteomic CE-MS data (5% ( approximately 0.8M) acetic acid as back

113 n this work, we developed an ultra-sensitive CE-MS/MS method for bottom-up proteomics analysis of lim

114 otential applications of our ultra-sensitive CE-MS/MS method for the analysis of limited biological s

115 In this technique, several CE-MS/MS analyses (injection followed by separation) wer

116 valuated with both sheathless and sheathflow CE-MS ion sources.

117 s were detected in human urine by sheathless CE-MS whereas about 300 molecular features were found wi

118 Hence, sheathless CE-MS can be used for in-depth metabolic profiling of bi

119 ary preconcentration procedure in sheathless CE-MS further resulted in subnanomolar limits of detecti

120 Under optimal conditions, the sheathless CE-MS interface provided significantly increased ionizat

121 e were used for evaluation of the sheathless CE-MS platform.

122 The sheathless CE-MS system also proved highly suitable for the glycopr

123 ion using a true zero dead-volume sheathless CE-MS interface.

124 s into the spray-capillary prior to a single CE-MS analysis, achieving baseline separation of identic

125 Nanoflow sheath liquid (SL) CE-MS interfaces provide sensitive ionization, required

126 (-1)) and on-line preconcentration by AA-SPE-CE-MS (0.2 mug mL(-1)).

127 Capillary electrophoresis mass spectrometry (CE-MS) allows for the rapid and accurate quantitative an

128 Capillary electrophoresis-mass spectrometry (CE-MS) and whole-genome gene expression arrays, aided by

129 lectrophoresis coupled to mass spectrometry (CE-MS) for the efficient separation and sensitive detect

130 capillary electrophoresis-mass spectrometry (CE-MS) in an integrated microfluidic platform to analyze

131 capillary electrophoresis-mass spectrometry (CE-MS) interface and both LTQ-XL and LTQ-Orbitrap-Velos

132 lary zone electrophoresis-mass spectrometry (CE-MS) is a mature analytical tool for the efficient pro

133 Capillary electrophoresis-mass spectrometry (CE-MS) is a powerful tool in various fields including pr

134 capillary electrophoresis mass spectrometry (CE-MS) is a promising platform to analyze cellular conte

135 Capillary electrophoresis mass spectrometry (CE-MS) is an established technique for targeted and unta

136 capillary electrophoresis-mass spectrometry (CE-MS) is developed to examine metabolic differences in

137 Capillary electrophoresis-mass spectrometry (CE-MS) is still widely regarded as an emerging tool in t

138 capillary electrophoresis-mass spectrometry (CE-MS) on brain samples from three groups in the Baltimo

139 Capillary electrophoresis-mass spectrometry (CE-MS) represents a high efficiency microscale separatio

140 ion of a robust online CE-mass spectrometry (CE-MS) system used for the characterization of several C

141 capillary electrophoresis mass spectrometry (CE-MS) technique is introduced for age estimation of sil

142 capillary electrophoresis-mass spectrometry (CE-MS) technology was developed to identify minor glycan

143 llary electrophoresis and mass spectrometry (CE-MS) to develop a method for simultaneous profiling bo

144 capillary electrophoresis-mass spectrometry (CE-MS) workflow.

145 capillary electrophoresis-mass spectrometry (CE-MS), and nuclear magnetic resonace (NMR).

146 Capillary electrophoresis-mass spectrometry (CE-MS), matrix-assisted laser desorption/ionization mass

147 capillary electrophoresis-mass spectrometry (CE-MS), using a porous tip sprayer, is proposed for the

148 lectrophoresis coupled to mass spectrometry (CE-MS).

149 horesis coupled to tandem mass spectrometry (CE-MS/MS) for top-down proteomic (TDP) analysis of low n

150 ry electrophoresis-tandem mass spectrometry (CE-MS/MS) method for the determination of halosulfuron-m

151 ry electrophoresis-tandem mass spectrometry (CE-MS/MS) method was developed for enantiomeric quantifi

152 ry electrophoresis-tandem mass spectrometry (CE-MS/MS) of tryptic digests is described.

153 ry electrophoresis-tandem mass spectrometry (CE-MS/MS) procedure which employs a high sensitivity por

154 ne electrophoresis-tandem mass spectrometry (CE-MS/MS), in positive mode, to characterize RNA modific

155 lectrophoresis coupled to mass spectrometry (CE-MS/MS).

156 Characterization of SS-CE-MS from different locations of the outer epidermal la

157 illary electrophoresis mass spectrometry (SS-CE-MS), endogenous molecules are sampled and detected fr

158 For each study, CE-MS was able to successfully identify components seen

159 e coverage, we introduce a novel technique, (CE-MS/MS)n, which utilizes the most significant advantag

160 In this technique, (CE-MS/MS)n is performed by scanning a narrow mass range

161 Moreover, we were able to demonstrate that CE-MS is a powerful method for the identification of low

162 ll, this Metabo-ring trial demonstrated that CE-MS is a viable and reproducible approach for metabolo

163 Our results suggest that CE-MS metabolomics of CSF samples can be a useful tool t

164 The CE-MS analysis takes ~20 min, consumes only nanoliters o

165 The CE-MS based method eliminates the need to label the N-gl

166 The CE-MS/MS method employs a competitive assay, followed by

167 Because the CE-MS and expression profiling are both amenable to smal

168 ntifying 1371 phosphopeptides present in the CE-MS data set and found 49 phosphopeptides to be differ

169 evaluated to optimize the performance of the CE-MS system, resulting in a mass limit of detection of

170 fications and highlight the strengths of the CE-MS/MS approach in identifying potentially important a

171 Overall, the CE-MS method described here enables rapid setup and anal

172 erefore, does not add any dead volume to the CE-MS or nLC-MS interface.

173 c levitator to concentrate analytes prior to CE-MS analysis.

174 Prior to CE-MS/MS analysis, the interaction of the two proteins w

175 totally digesting the purified RNA, prior to CE-MS/MS analysis, we were able to identify the nucleosi

176 lytical insights can be used to design trace CE-MS studies with high scientific rigor.

177 Traditional CE-MS interfacing relies upon voltage to drive this proc

178 of cytoplasm for metabolomic analysis using CE-MS.

179 everal posttranslational modifications using CE-MS and CE-MS/MS is demonstrated using this method wit

180 ul strategy for single-cell proteomics using CE-MS.

181 s approach that combines SILAC labeling with CE-MS analysis.