Otro
Mapping eIF5A binding sites for Dys1 and Lia1: In vivo evidence for regulation of eIF5A hypusination
Registration in:
FEBS Letters, v. 555, n. 3, p. 464-468, 2003.
0014-5793
10.1016/S0014-5793(03)01305-X
2-s2.0-0346366826.pdf
2-s2.0-0346366826
Author
Thompson, Gloria M.
Cano, Veridiana S.P.
Valentini, Sandro Roberto
Abstract
The evolutionarily conserved factor eIF5A is the only protein known to undergo hypusination, a unique posttranslational modification triggered by deoxyhypusine synthase (Dys1). Although eIF5A is essential for cell viability, the function of this putative translation initiation factor is still obscure. To identify eIF5A-binding proteins that could clarify its function, we screened a two-hybrid library and identified two eIF-5A partners in S. cerevisiae: Dys1 and the protein encoded by the gene YJR070C, named Lia1 (Ligand of eIF5A). The interactions were confirmed by GST pulldown. Mapping binding sites for these proteins revealed that both eIF5A domains can bind to Dys1, whereas the C-terminal domain is sufficient to bind Lia1. We demonstrate for the first time in vivo that the N-terminal α-helix of Dys1 can modulate enzyme activity by inhibiting eIF5A interaction. We suggest that this inhibition be abrogated in the cell when hypusinated and functional eIF5A is required. © 2003 Published by Elsevier B.V. on behalf of the Federation of European Biochemical Societies.
Subjects
Related items
Showing items related by title, author, creator and subject.
-
Mapping eIF5A binding sites for Dys1 and Lia1: In vivo evidence for regulation of eIF5A hypusination
Universidade Estadual Paulista (UNESP) (2003-12-18)The evolutionarily conserved factor eIF5A is the only protein known to undergo hypusination, a unique posttranslational modification triggered by deoxyhypusine synthase (Dys1). Although eIF5A is essential for cell viability, ... -
Self-assembling functional programmable protein array for studying protein-protein interactions in malaria parasites
Arévalo-Pinzón, Gabriela; González-González, María; Suárez, Carlos Fernando; Curtidor, Hernando; Carabias-Sánchez, Javier; Muro, Antonio; LaBaer, Joshua; Patarroyo, Manuel A.; Fuentes, Manuel (2018) -
Computational prediction and experimental assessment of secreted/surface proteins from Mycobacterium tuberculosis H37Rv
Vizcaíno, Carolina; Restrepo-Montoya, Daniel; Rodríguez, Diana; Niño, Luis F.; Ocampo, Marisol; Vanegas, Magnolia; Reguero, María T.; Martínez, Nora L.; Patarroyo, Manuel E.; Patarroyo, Manuel A. (2010)