Pregled bibliografske jedinice broj: 168861
Fully-automated chip-based nanoelectrospray tandem mass spectrometry of gangliosides from human cerebellum
Fully-automated chip-based nanoelectrospray tandem mass spectrometry of gangliosides from human cerebellum // Journal of The American Society for Mass Spectrometry, 15 (2004), 11; 1649-1657 (međunarodna recenzija, članak, znanstveni)
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Naslov
Fully-automated chip-based nanoelectrospray tandem mass spectrometry of gangliosides from human cerebellum
Autori
Zamfir, Alina ; Vukelić, Željka ; Bindila, Laura ; Peter-Katalinić, Jasna ; Almeida, Reinaldo ; Sterling, Alistar ; Allen, Marc
Izvornik
Journal of The American Society for Mass Spectrometry (1044-0305) 15
(2004), 11;
1649-1657
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
chip-based nanoelectrospray tandem mass spectrometry; gangliosides; human cerebellum
Sažetak
The introduction of chip-based electrospray (ESI) ion sources into biological mass spectrometry (MS) addressed the fundamental issue of how to analyze minute amounts of complex biological systems. The automation of sample delivery into the MS combined with the chip-based ESI allows for high quality bioanalysis in a high-throughput fashion. These advantages have already been demonstrated in proteomics, direct screening of drugs and drug discovery. As part of our continuing effort to implement automated chip-based mass spectrometry into the field of complex carbohydrate analysis, we hereby report the development of a chipESI MS and MS/MS methodology for the screening of gangliosides. A strategy to characterize a complex ganglioside mixture from human cerebellar tissue, by automated ESIchip-quadrupole time-of-flight (QTOF) MS and MS/MS is presented here. The feasibility of this method, and the general experimental requirements for automated chipESI MS analysis of these carbohydrate species is described.
Izvorni jezik
Engleski
Znanstvena područja
Temeljne medicinske znanosti
POVEZANOST RADA
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE