Latvian
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)
Phytochemistry 2011-Apr

Differential proteome analysis of mature and germinated embryos of Araucaria angustifolia.

Rakstu tulkošanu var veikt tikai reģistrēti lietotāji
Ielogoties Reģistrēties
Saite tiek saglabāta starpliktuvē
Tiago S Balbuena
Leonardo Jo
Fernanda P Pieruzzi
Leonardo L C Dias
Vanildo Silveira
Claudete Santa-Catarina
Magno Junqueira
Jay J Thelen
Andrej Shevchenko
Eny I S Floh

Atslēgvārdi

Abstrakts

Araucaria angustifolia is an endangered Brazilian native conifer tree. The aim of the present work was to identify differentially expressed proteins between mature and germinated embryos of A. angustifolia, using one and two dimensional gel electrophoresis approaches followed by protein identification by tandem mass spectrometry. The identities of 32 differentially expressed protein spots from two dimensional gel maps were successfully determined, including proteins and enzymes involved in storage mobilization such as the vicilin-like storage protein and proteases. A label free approach, based on spectral counts, resulted in detection of 10 and 14 mature and germinated enriched proteins, respectively. Identified proteins were mainly related to energetic metabolism pathways, translational processes, oxidative stress regulation and cellular signaling. The integrated use of both strategies permitted a comprehensive protein expression overview of changes in germinated embryos in relation to matures, providing insights into the this process in a recalcitrant seed species. Applications of the data generated on the monitoring and control of in vitro somatic embryos were discussed.

Pievienojieties mūsu
facebook lapai

Vispilnīgākā ārstniecības augu datu bāze, kuru atbalsta zinātne

  • Darbojas 55 valodās
  • Zāļu ārstniecības līdzekļi, kurus atbalsta zinātne
  • Garšaugu atpazīšana pēc attēla
  • Interaktīva GPS karte - atzīmējiet garšaugus atrašanās vietā (drīzumā)
  • Lasiet zinātniskās publikācijas, kas saistītas ar jūsu meklēšanu
  • Meklēt ārstniecības augus pēc to iedarbības
  • Organizējiet savas intereses un sekojiet līdzi jaunumiem, klīniskajiem izmēģinājumiem un patentiem

Ierakstiet simptomu vai slimību un izlasiet par garšaugiem, kas varētu palīdzēt, ierakstiet zāli un redziet slimības un simptomus, pret kuriem tā tiek lietota.
* Visa informācija ir balstīta uz publicētiem zinātniskiem pētījumiem

Google Play badgeApp Store badge