Dot by dot: analyzing the glycome using lectin microarrays
about
Electrochemistry of nonconjugated proteins and glycoproteins. Toward sensors for biomedicine and glycomicsA computational framework for the automated construction of glycosylation reaction networksDetection of distinct glycosylation patterns on human γ-glutamyl transpeptidase 1 using antibody-lectin sandwich array (ALSA) technology.A Quantitative Microtiter Assay for Sialylated Glycoform Analyses Using Lectin Complexes.Identification of the binding roles of terminal and internal glycan epitopes using enzymatically synthesized N-glycans containing tandem epitopes.Nanoscale controlled architecture for development of ultrasensitive lectin biosensors applicable in glycomics.Glycoprofiling as a novel tool in serological assays of systemic sclerosis: a comparative study with three bioanalytical methods.Analytical tools for the study of cellular glycosylation in the immune system.Algal lectin binding to core (α1-6) fucosylated N-glycans: structural basis for specificity and production of recombinant protein.Glycan-based diagnostic devices: current progress, challenges and perspectives.Role of lectin microarrays in cancer diagnosis.Biological roles of glycans.Nanotechnology in Glycomics: Applications in Diagnostics, Therapy, Imaging, and Separation Processes.Recent Advances in the Analysis of Complex Glycoproteins.Cancer stem cell marker glycosylation: Nature, function and significance.Human disease glycomics: technology advances enabling protein glycosylation analysis - part 1.Lectin-based protein microarray analysis of differences in serum alpha-2-macroglobulin glycosylation between patients with colorectal cancer and persons without cancer
P2860
Q26822552-9429C91E-68D5-45D2-A5B2-050280EF1C37Q28540180-EC91F548-D69A-4EDB-B002-A0B7042A057DQ34979254-2DCB46C9-A4CA-435D-B925-906EDDB05F45Q35882274-C23B2A55-2266-4336-AAF5-5C05349CCC72Q36165697-4BD3599F-455C-49E5-A00D-96E6F21E038EQ36931757-78283A3B-0185-46F6-98F2-2BE58C3925E8Q36943783-9036B9FF-959A-4C3A-A96A-1B479BC646ABQ37381965-85D27A20-FD94-41D4-8E15-EDD85E7193E7Q38301805-3616E016-0B16-44D6-9FF0-3A0F3B257733Q38595689-3B68B2E2-EC71-4E8E-AA92-0AA596C3749DQ38721715-3FA75D08-CE02-49BD-9B6D-EBE537DDE7DBQ38936714-DCCF2E8A-C038-4AD5-BC5C-0129BF633397Q39012279-149D42FD-3FB2-489E-AF8E-31DECDA97EC6Q39096219-81F74646-3D9A-4045-9CC4-8E107814137CQ39380552-270629EF-4684-44D9-A5F5-58DEF2FC9F35Q47212798-C26F380C-C8F0-4537-955E-447A6977D8CEQ59207029-4F0932B8-9644-4CA6-BB2F-C068B8F5D395
P2860
Dot by dot: analyzing the glycome using lectin microarrays
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 12 July 2013
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Dot by dot: analyzing the glycome using lectin microarrays
@en
Dot by dot: analyzing the glycome using lectin microarrays.
@nl
type
label
Dot by dot: analyzing the glycome using lectin microarrays
@en
Dot by dot: analyzing the glycome using lectin microarrays.
@nl
prefLabel
Dot by dot: analyzing the glycome using lectin microarrays
@en
Dot by dot: analyzing the glycome using lectin microarrays.
@nl
P2860
P1476
Dot by dot: analyzing the glycome using lectin microarrays
@en
P2093
João P Ribeiro
Lara K Mahal
P2860
P304
P356
10.1016/J.CBPA.2013.06.009
P577
2013-07-12T00:00:00Z