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1  biological systems have hindered functional glycoproteomics.
2 ts and assist informatics decision-making in glycoproteomics.
3 elanoma samples, and mass spectrometry-based glycoproteomics.
4 fic glycosylation sites in mass spectrometry-glycoproteomics.
5  way for high-throughput multiprotein plasma glycoproteomics.
6 w modified phase of hydrophilic materials in glycoproteomics.
7  is a step closer to comprehensive automated glycoproteomics.
8 ze the full potential of extended mass range glycoproteomics.
9 dges but not by HILIC to enable quantitative glycoproteomics.
10 loped so far provide important insights into glycoproteomics.
11 implications for the application of FAIMS in glycoproteomics.
12 of the most daunting hurdles in the field of glycoproteomics.
13 position of the glycan at specific sites via glycoproteomics.
14 eRATOR presents exciting opportunities for O-glycoproteomics.
15 rometry-based qualitative and quantitative N-glycoproteomics.
16 isticated intact glycopeptide analysis using glycoproteomics.
17 rter in superresolution microscopy, chemical glycoproteomics, a genome-wide CRISPR-knockout (CRISPR-K
18                               Using MS-based glycoproteomics, along with CRISPR/Cas9-KO cell lines, n
19                                Glycomics and glycoproteomics analyses by mass spectrometry require ef
20 dalities, thus contributing to comprehensive glycoproteomics analyses.
21           Here, we particularly focused on N-glycoproteomics analysis and investigated fragmentation
22 reatment to live cells, followed by MS-based glycoproteomics analysis, to assess changes in protein g
23 ification of structure-specific fragments in glycoproteomics analysis.
24 strated by efficient mass spectrometry-based glycoproteomics analysis.
25 cosylation hinder the depth of site-specific glycoproteomics analysis.
26 ptides from complex samples in glycomics and glycoproteomics analytical workflows.
27        To significantly advance the field of glycoproteomics, analytical software and algorithms are
28 of varying complexity and publicly available glycoproteomics and affinity purification-MS data.
29 opeptide level is of importance in bottom-up glycoproteomics and an indispensable step to understand
30                    Here, combining bottom-up glycoproteomics and native MS approaches, we structurall
31 onstrating its highly sensitive and specific glycoproteomics and phosphorproteomics analysis in compl
32                                 Quantitative glycoproteomics and proteomics revealed a tissue-specifi
33            We further applied quantitative N-glycoproteomics and the strategy to validate a panel of
34                        Advances in genomics, glycoproteomics and tools from chemical biology have mad
35 a mass spectrometry workflow, quantitative O-glycoproteomics, and global proteomics to identify 663 G
36 as time goes, the accumulation of glycomics, glycoproteomics, and glycan-binding data has reached a p
37 logical techniques combined with proteomics, glycoproteomics, and glycomics revealed that a lack of P
38  of sites of protein glycosylation; targeted glycoproteomics; and functional glycoproteomics, with a
39 d substantial processing differences using a glycoproteomics approach by comparing CD16a isolated fro
40                                            A glycoproteomics approach of the wild type glycopeptide f
41              Here, we conducted a targeted O-glycoproteomics approach to characterize O-glycans on NP
42  conditions to up to 1500 with our optimized glycoproteomics approach, highlighting the need for tail
43                                      Using a glycoproteomics approach, we identified >200 O-GlcNAc pr
44 ubjected to trypsin digestion and a LC-MS/MS glycoproteomics approach.
45                       Currently, large-scale glycoproteomics approaches rely on glycan database depen
46                                Glycomics and glycoproteomics approaches with mass spectrometry offer
47 using intact glycopeptide-based quantitative glycoproteomics coupled with systems biology.
48 s it possible to comprehensively interrogate glycoproteomics data and illuminate the many roles of gl
49                       Reanalysis of recent N-glycoproteomics data resulted in annotation of 80% more
50                               In published O-glycoproteomics data, our method more than doubled the n
51 ally developed for classifying glycomics and glycoproteomics data, so we modified it to be well-suite
52              The same mass spectrometrybased glycoproteomics datasets from human serum were shared wi
53 tact glycopeptides have produced large-scale glycoproteomics datasets, but interpreting these data re
54 lute quantification of glycans are needed in glycoproteomics, during development and production of bi
55 mplement the surfaceome data with whole cell glycoproteomics enabled by a recently developed techniqu
56 ysis using machine learning, drug discovery, glycoproteomics, extracellular vesicle proteomics, and s
57 ntegrating enzymatic treatment with MS-based glycoproteomics for analyzing cell surface glycoproteins
58                               Glycogenomics, glycoproteomics, glycomics, and glycoinformatics are hel
59 f site-specific protein glycobiology through glycoproteomics has evolved rapidly in recent years than
60 opments in glycobiology, glycochemistry, and glycoproteomics have made the field more manageable and
61     The benefits of FAIMS for quantitative N-glycoproteomics have not been investigated yet.
62 tion approach for glycomics, proteomics, and glycoproteomics in a cell culture system.
63 et al. (2017) provides a novel algorithm for glycoproteomics in which complex glycopeptides can be id
64 ults were variable, several high-performance glycoproteomics informatics strategies were identified.
65             Conducted through the HUPO Human Glycoproteomics Initiative, this community study, compri
66                                              Glycoproteomics is a powerful yet analytically challengi
67 ectrometry methods (CE-MS) for glycomics and glycoproteomics is limited by the lack of convenient int
68 nformatics software, including glycomics and glycoproteomics mass spectrometry applications.
69  in the quest for more accurate and reliable glycoproteomics measurements.
70 matography (LC)-mass spectrometry (MS)-based glycoproteomics method in combination with highly specif
71 we describe the important role that chemical glycoproteomics methods are playing in such efforts.
72 pply yeast genetic tools and newly developed glycoproteomics methods.
73                We present MSFragger-Glyco, a glycoproteomics mode of the MSFragger search engine, for
74                                              Glycoproteomics of substrates digested with purified hum
75 c glycoprotein reporter system and performed glycoproteomics on endogenous parasite glycoproteins usi
76 lycans, has been a persistent challenge in O-glycoproteomics owing to the technical challenges surrou
77  present IsoTaG, a mass-independent chemical glycoproteomics platform for characterization of intact,
78 ort that the addition of IMS to conventional glycoproteomics platforms adds additional information re
79                       We used a quantitative glycoproteomics procedure to compare glycosylation of ro
80 all proteins in the PDB with a corresponding glycoproteomics profile, for a total of 4,259 N-glycosyl
81                   The emerging glycomics and glycoproteomics projects aim to characterize all forms o
82 nd a combination of sensitive proteomics and glycoproteomics readouts, we documented the progressive
83 ven the structural analysis of glycoproteins-glycoproteomics-remains in its infancy due to the scarci
84                                              Glycoproteomics represent the field of study of the dyna
85 sensitive sheathless CE-ESI-MS approaches in glycoproteomics research, by significantly improving sen
86                                              Glycoproteomics revealed that glycoprotein targets of ST
87 improved 'high-coverage' and 'high-accuracy' glycoproteomics search solutions.
88  MMP-9 null mice (n=8 per group) analyzed by glycoproteomics showed that of 541 N-glycosylated protei
89 ill one of the greatest challenges in modern glycoproteomics, since multiple regio- and stereoisomers
90 udy, comprising both developers and users of glycoproteomics software, evaluates solutions for system
91                               A quantitative glycoproteomics strategy was deployed to identify cellul
92 ectin enrichment) and improves large-scale N-glycoproteomics studies due to greatly reduced sample co
93      The CDMS results are compared to recent glycoproteomics studies of the structure and abundance o
94 ader than the distribution expected from the glycoproteomics studies, assuming that glycan processing
95 ger than those obtained from the "bottom-up" glycoproteomics studies, suggesting that the glycoproteo
96 lycoproteins in human urine for future urine glycoproteomics studies.
97                                          Our glycoproteomics study provides an experimental framework
98                        For example, chemical glycoproteomics technologies have enabled the identifica
99 nt in C. jejuni, we utilized high throughput glycoproteomics to characterize C. jejuni JHH1 and ident
100               We utilized glycomics-informed glycoproteomics to characterize site-specific microheter
101 eceptor from newborn calf serum, carried out glycoproteomics to define the N-glycans at its 19 potent
102 mbined with sensitive and quantitative O-Man glycoproteomics to identify a homologous family of four
103 lycopeptides to select peptides for targeted glycoproteomics using directed MS and (ii) mass-independ
104 ch that includes genomics, proteomics, and O-glycoproteomics was used to characterize cross-talk betw
105 his technology and expand its usefulness for glycoproteomics, we have developed and improved methods
106                            Using comparative glycoproteomics, we have previously identified a glycopr
107                            Using comparative glycoproteomics, we identified a glycoprotein that is al
108                     In this study, gel-based glycoproteomics were used to identify glycoproteins of t
109 trument functions is especially important in glycoproteomics, where complexities of glycopeptide frag
110 on; targeted glycoproteomics; and functional glycoproteomics, with a focus on probing interactions be
111 ta acquisition modes currently available for glycoproteomics within a rapid Top Speed DDA duty cycle.
112             These methods will be useful for glycoproteomics workflows for either optimal glycopeptid
113 ver, the reported use of PASEF in integrated glycoproteomics workflows to comprehensively capture the

 
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