Catalan
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)
FASEB Journal 2009-Feb

Lipidomic analysis reveals activation of phospholipid signaling in mechanotransduction of Taxus cuspidata cells in response to shear stress.

Només els usuaris registrats poden traduir articles
Inicieu sessió / registreu-vos
L'enllaç es desa al porta-retalls
Pei-pei Han
Ying-jin Yuan

Paraules clau

Resum

Lipid signaling involved in mechanotransduction processes in response to shear stress in plants remained elusive. To understand the responses of phospholipids in shear stress-induced mechanotransduction, a lipidomic approach was employed to profile phospholipid species of Taxus cuspidata cells under laminar shear stress. A total of 99 phospholipid species were profiled quantitatively, using the LC/ESI/MS(n) procedure. Potential biomarkers were found by the principal component analysis (PCA) as well as partial least squares (PLS) combined with variable influence in the projection (VIP). Phosphatidic acid (PA) and lysophosphatidylcholine (LysoPC) were two important lipid groups that were responsible for the discrimination between shear stress induced and control cells. Further research revealed that shear stress enhanced the activation of phospholipase D (PLD) and phospholipase C (PLC) compared with control cells and consequently increased PA content in shear stress induced T. cuspidata cells. These results demonstrate that phospholipids and related phospholipases play important roles in mechanotransduction of T. cuspidata cells in response to shear stress.

Uneix-te a la nostra
pàgina de Facebook

La base de dades d’herbes medicinals més completa avalada per la ciència

  • Funciona en 55 idiomes
  • Cures a base d'herbes recolzades per la ciència
  • Reconeixement d’herbes per imatge
  • Mapa GPS interactiu: etiqueta les herbes a la ubicació (properament)
  • Llegiu publicacions científiques relacionades amb la vostra cerca
  • Cerqueu herbes medicinals pels seus efectes
  • Organitzeu els vostres interessos i estigueu al dia de les novetats, els assajos clínics i les patents

Escriviu un símptoma o una malaltia i llegiu sobre herbes que us poden ajudar, escriviu una herba i vegeu malalties i símptomes contra els quals s’utilitza.
* Tota la informació es basa en investigacions científiques publicades

Google Play badgeApp Store badge