Portuguese
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Journal of Proteomics 2014-Jun

Expanding resolution of metalloprotein separations from soybean seeds using 2D-HPLC-ICP-MS and SDS-PAGE as a third dimension.

Apenas usuários registrados podem traduzir artigos
Entrar Inscrever-se
O link é salvo na área de transferência
Lidiane Raquel Verola Mataveli
Marco Aurélio Zezzi Arruda

Palavras-chave

Resumo

This work reports on the use of a three dimensional separation system to enhance metalloprotein information when considering soybean seeds. Separations using size exclusion chromatography (SEC) allowed identification of three metal fractions. Following an anion exchange (AEX) chromatographic separation in the second dimension, the resultant sub-fractions were lyophilized and subjected to a third dimension of separation using a polyacrylamide gel electrophoresis (SDS-PAGE). After the separation, the bands were digested, and, in addition to others, the following proteins, previously associated with metals, were identified: 3-lipoxygenase A chain (soybean) complex with 13(S)-hydroperoxy-9(Z),11(E)-octadecadienoic acid, beta-amylase [Glycine max], seed lipoxygenase-1, lipoxygenase [G. max], seed lipoxygenase-2 (Pisum sativum) and beta-conglycinin.

UNASSIGNED

Techniques presenting high resolution are desired due to their capability in resolving great amount of signals (responses) generated from hundreds of proteins generally found in different samples. To the best of our knowledge, this is the first time that bidimensional chromatographic system which allied to another separation dimension is applied for improving protein identification, so that higher number and different proteins were found when comparing 2D dimension with 3D dimension. In fact, this strategy is welcoming in proteomics studies, in order to improve the comprehension of those systems that present large number of proteins. This article is part of a Special Issue entitled: Environmental and structural proteomics.

Junte-se à nossa
página do facebook

O mais completo banco de dados de ervas medicinais apoiado pela ciência

  • Funciona em 55 idiomas
  • Curas herbais apoiadas pela ciência
  • Reconhecimento de ervas por imagem
  • Mapa GPS interativo - marcar ervas no local (em breve)
  • Leia publicações científicas relacionadas à sua pesquisa
  • Pesquise ervas medicinais por seus efeitos
  • Organize seus interesses e mantenha-se atualizado com as notícias de pesquisa, testes clínicos e patentes

Digite um sintoma ou doença e leia sobre ervas que podem ajudar, digite uma erva e veja as doenças e sintomas contra os quais ela é usada.
* Todas as informações são baseadas em pesquisas científicas publicadas

Google Play badgeApp Store badge