Detalhe da pesquisa
1.
Community evaluation of glycoproteomics informatics solutions reveals high-performance search strategies for serum glycopeptide analysis.
Nat Methods
; 18(11): 1304-1316, 2021 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-34725484
2.
Peak Filtering, Peak Annotation, and Wildcard Search for Glycoproteomics.
Mol Cell Proteomics
; 20: 100011, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-33578083
3.
Author Correction: Community evaluation of glycoproteomics informatics solutions reveals high-performance search strategies for serum glycopeptide analysis.
Nat Methods
; 19(1): 130, 2022 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-34893784
4.
Parsimonious Charge Deconvolution for Native Mass Spectrometry.
J Proteome Res
; 17(3): 1216-1226, 2018 03 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-29376659
5.
Glycan motif profiling reveals plasma sialyl-lewis x elevations in pancreatic cancers that are negative for sialyl-lewis A.
Mol Cell Proteomics
; 14(5): 1323-33, 2015 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-25733690
6.
Characterizing Protein Glycosylation through On-Chip Glycan Modification and Probing.
Anal Chem
; 88(23): 11584-11592, 2016 12 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-27809484
7.
Upregulation of glycans containing 3' fucose in a subset of pancreatic cancers uncovered using fusion-tagged lectins.
J Proteome Res
; 14(6): 2594-605, 2015 Jun 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-25938165
8.
Global comparisons of lectin-glycan interactions using a database of analyzed glycan array data.
Mol Cell Proteomics
; 12(4): 1026-35, 2013 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-23399549
9.
Glycans related to the CA19-9 antigen are elevated in distinct subsets of pancreatic cancers and improve diagnostic accuracy over CA19-9.
Cell Mol Gastroenterol Hepatol
; 2(2): 201-221.e15, 2016 Feb 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-26998508
10.
Benchmark study of automatic annotation of MALDI-TOF N-glycan profiles.
J Proteomics
; 129: 71-77, 2015 Nov 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-26047718
11.
The detection and discovery of glycan motifs in biological samples using lectins and antibodies: new methods and opportunities.
Adv Cancer Res
; 126: 167-202, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-25727148
12.
Exploring the specificities of glycan-binding proteins using glycan array data and the GlycoSearch software.
Methods Mol Biol
; 1273: 203-14, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-25753713
13.
Definitive Characterization of CA 19-9 in Resectable Pancreatic Cancer Using a Reference Set of Serum and Plasma Specimens.
PLoS One
; 10(10): e0139049, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-26431551
14.
Determining lectin specificity from glycan array data using motif segregation and GlycoSearch software.
Curr Protoc Chem Biol
; 5(2): 157-69, 2013.
Artigo
em Inglês
| MEDLINE | ID: mdl-23839995
15.
Prediction of glycan motifs using quantitative analysis of multi-lectin binding: Motifs on MUC1 produced by cultured pancreatic cancer cells.
Proteomics Clin Appl
; 7(9-10): 632-41, 2013 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-23956151