PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
June 1, 1995European Journal of Biochemistry205 citations

Characterisation of Two Major Cellular Poly(rC)-Binding Human Proteins, Each Containing Three K-homologous (KH) Domains

View Full Paper
HLHenrik LeffersKDKurt DejgaardJCJulio E. Celis

Key Points

Key points are not available for this paper at this time.

Abstract

We have revealed and characterised two nucleic-acid-binding proteins, termed PCBP-1 (M(r) 37,525, pI 7.07) and PCBP-2 (M(r) 38,579, pI 6.76), that together with heterogeneous ribonucleoparticle (hnRNP)-K correspond to the major cellular poly(rC)-binding proteins. mRNA for both PCBPs were detected in all the human tissues analysed. Both proteins contain three K-homologous (KH) domains which share similarity with other KH domain proteins, including the fragile-X protein FMR1, and which are positioned as in hnRNP-K and nova, i.e. with two closely spaced domains at the N-terminus and one at the C-terminus. PCBPs do not contain RGG boxes or any other known nucleic-acid-binding motifs. Expression in the vaccinia virus system showed that both proteins are post-translationally modified in vivo, a fact that was confirmed by 32Porthophosphate labelling. Northwestern-blot analysis showed that the non-phosphorylated forms bind tenaciously to poly(rC) in vitro, while significantly less binding was observed for the phosphorylated variants. Escherichia coli expressed proteins also bound poly(rG), albeit at a lower level. In addition, PCBP-2 bound poly(rU), whereas very little binding to poly(rA) was observed for both proteins.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Leffers et al. (1995) studied this question. PCBP-1 and PCBP-2 are major cellular poly(rC)-binding proteins containing three KH domains that bind tenaciously to poly(rC) in their non-phosphorylated forms.

synapsesocial.com/papers/6a64d6b18a227722a0643fa8https://doi.org/10.1111/j.1432-1033.1995.0447h.x
Ask AI
Helpful
Bookmark
Share
View Full Paper