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)
Gene 1995-Mar

Novel Drosophila melanogaster genes encoding RRM-type RNA-binding proteins identified by a degenerate PCR strategy.

Només els usuaris registrats poden traduir articles
Inicieu sessió / registreu-vos
L'enllaç es desa al porta-retalls
S F Brand
S Pichoff
S Noselli
H M Bourbon

Paraules clau

Resum

We are interested in identifying Drosophila melanogaster RNA-binding proteins involved in important developmental decisions made at the level of mRNA processing, stability, localization or translational control. A large subset of the proteins known to interact with specific RNA sequences shares an evolutionarily conserved 80-90-amino-acid (aa) domain referred to as an RNA-recognition motif (RRM), including two ribonucleoprotein identifier sequences known as RNP-1 and RNP-2. Hence, we have herein applied degenerate polymerase chain reaction (PCR) methodology to clone three additional members (termed rox2, rox8 and rox21) of the D. melanogaster RRM-protein gene superfamily encoding putative trans-acting regulatory factors. Representative cDNA clones were isolated, the conceptual aa sequences of the candidate Rox proteins were inferred from their nucleotide sequences, and database searches were conducted. Rox2 displays extensive aa sequence similarities to putative RNA-binding proteins encoded by the genomes of the plants Oryza sativa and Arabidopsis thaliana; Rox21 resembles essential metazoan pre-mRNA splicing factors; as described elsewhere, Rox8 is likely a fly homolog of the two human TIA-1-type nucleolysins [Brand and Bourbon, Nucleic Acids Res. 21 (1993) 3699-3704].

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