Romanian
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)
Proteomics 2008-May

Comparison of two anoxia models in rainbow trout cells by a 2-DE and MS/MS-based proteome approach.

Numai utilizatorii înregistrați pot traduce articole
Log In / Înregistrare
Linkul este salvat în clipboard
Tune Wulff
Else K Hoffmann
Peter Roepstorff
Flemming Jessen

Cuvinte cheie

Abstract

In the literature, a variety of ways have been used to obtain anoxia, and most often results are compared between studies without taking into consideration how anoxia has been obtained. Here, we provide a comprehensive study of two types of anoxia, using a proteomics approach to compare changes in protein expression. The two investigated situations were 30 min of chemical anoxia (10 mM NaN(3)) followed by reoxygenation overnight (CR) and 2 h of N(2)-induced anoxia (achieved by flushing with N(2)) followed by reoxygenation overnight (NR), after which samples were resolved by 2-DE. Forty-five protein spots changed their abundance in response to CR and 35 protein spots changed their abundance in response to NR, but only six proteins changed their abundance in response to both stimuli. By the means of MS/MS, 40 protein spots were identified including proteins involved in processes like cell protection and protein synthesis. It was also revealed that the level of a number of keratins was down-regulated. This study therefore provides a valuable comparison of two different anoxia models and shows that great care should be taken when comparing the effects of anoxia in studies that have used different types and durations of anoxia.

Alăturați-vă paginii
noastre de facebook

Cea mai completă bază de date cu plante medicinale susținută de știință

  • Funcționează în 55 de limbi
  • Cure pe bază de plante susținute de știință
  • Recunoașterea ierburilor după imagine
  • Harta GPS interactivă - etichetați ierburile în locație (în curând)
  • Citiți publicațiile științifice legate de căutarea dvs.
  • Căutați plante medicinale după efectele lor
  • Organizați-vă interesele și rămâneți la curent cu noutățile de cercetare, studiile clinice și brevetele

Tastați un simptom sau o boală și citiți despre plante care ar putea ajuta, tastați o plantă și vedeți boli și simptome împotriva cărora este folosit.
* Toate informațiile se bazează pe cercetări științifice publicate

Google Play badgeApp Store badge