Lithuanian
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)
Analytical Biochemistry 2011-Jan

Arabidopsis methyltransferase fingerprints by affinity-based protein profiling.

Straipsnius versti gali tik registruoti vartotojai
Prisijungti Registracija
Nuoroda įrašoma į mainų sritį
Lisette Wirsing
Kai Naumann
Thomas Vogt

Raktažodžiai

Santrauka

Precise annotation of time and spatial distribution of enzymes involved in plant secondary metabolism by gel electrophoresis are usually difficult due to their low abundance. Therefore, effective methods to enrich these enzymes are required to correlate available transcript and metabolite data with the actual presence of active enzymes in wild-type and mutant plants or to monitor variations of these enzymes under various types of biotic and abiotic stress conditions. S-Adenosyl-L-methionine-dependent O-methyltransferases play important roles in the modification of natural products such as phenylpropanoids or alkaloids. In plants they occur as small superfamilies with defined roles for each of its members in different organs and tissues. We explored the use of S-adenosyl-L-homocysteine as a selectivity function in affinity-based protein profiling supported by capture compound mass spectrometry. Due to their high affinity to this ligand it was possible to identify developmental changes of flower-specific patterns of plant natural product O-methyltransferases and corroborate the absence of individual O-methyltransferases in the corresponding Arabidopsis knockout lines. Developmental changes in the OMT pattern were correlated with transcript data obtained by qPCR.

Prisijunkite prie mūsų
„Facebook“ puslapio

Išsamiausia vaistinių žolelių duomenų bazė, paremta mokslu

  • Dirba 55 kalbomis
  • Žolelių gydymas, paremtas mokslu
  • Vaistažolių atpažinimas pagal vaizdą
  • Interaktyvus GPS žemėlapis - pažymėkite vaistažoles vietoje (netrukus)
  • Skaitykite mokslines publikacijas, susijusias su jūsų paieška
  • Ieškokite vaistinių žolelių pagal jų poveikį
  • Susitvarkykite savo interesus ir sekite naujienas, klinikinius tyrimus ir patentus

Įveskite simptomą ar ligą ir perskaitykite apie žoleles, kurios gali padėti, įveskite žolę ir pamatykite ligas bei simptomus, nuo kurių ji naudojama.
* Visa informacija pagrįsta paskelbtais moksliniais tyrimais

Google Play badgeApp Store badge