Consequences of altered isoprenylation targets on a-factor export and bioactivity.

Proc Natl Acad Sci U S A

Department of Microbiology, University of Tennessee, Knoxville 37996.

Published: February 1994

Cysteine-containing amino acid sequences (CAAX, CC, and CXC; C is cysteine, A is any aliphatic amino acid, and X is any amino acid) are targets for the attachment of C15 (farnesyl) and C20 (geranylgeranyl) isoprenoids to peptides and proteins by specific prenyltransferases. Although much work has centered on the enzymatic mechanisms of these enzymes, the biological consequences of the differential isoprenylation they catalyze remain to be elucidated. Farnesylation of the a-factor mating pheromone of Saccharomyces cerevisiae is a known prerequisite for its biological activity and its secretion through a pathway utilizing the yeast STE6 protein, a homolog of the mammalian multidrug resistance (MDR) P-glycoprotein. We generated specific mutations in the a-factor gene to encode isoprenylation targets for geranylgeranylation [Cys-Val-Ile-Leu (CVIL) and Ser-Val-Cys-Cys (SVCC)] in place of the natural farnesylation motif [Cys-Val-Ile-Ala (CVIA)]. The a-factors containing these modified prenylation sites were successfully exported by a STE6-dependent mechanism. Furthermore, these peptides, as well as synthetic geranylgeranyl a-factor, retained bioactivity. Chromatographic comparisons of synthetic and biosynthetic pheromones suggest that, in vivo, a peptide substrate containing the geranylgeranylation target CVIL can be both farnesylated and geranylgeranylated. These results clearly demonstrate that in vivo (i) different prenyltransferases may recognize the same substrate; (ii) both farnesylated and geranylgeranylated a-factor peptides are substrates for export via STE6, a MDR-like protein; and (iii) farnesylated and geranylgeranylated pheromones are both biologically active.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC43140PMC
http://dx.doi.org/10.1073/pnas.91.4.1275DOI Listing

Publication Analysis

Top Keywords

amino acid
12
farnesylated geranylgeranylated
12
isoprenylation targets
8
a-factor
5
consequences altered
4
altered isoprenylation
4
targets a-factor
4
a-factor export
4
export bioactivity
4
bioactivity cysteine-containing
4

Similar Publications

BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories.

J Chem Inf Model

January 2025

Department of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, 1218 S 5th Ave, Monrovia, California 91016, United States.

Bayesian network modeling (BN modeling, or BNM) is an interpretable machine learning method for constructing probabilistic graphical models from the data. In recent years, it has been extensively applied to diverse types of biomedical data sets. Concurrently, our ability to perform long-time scale molecular dynamics (MD) simulations on proteins and other materials has increased exponentially.

View Article and Find Full Text PDF

β-Addition products are common in conjugate addition reactions consisting of α,β-unsaturated carbonyl compounds. Here, we are reporting an uncommon α-addition product as a major product in the thioacetic acid conjugate addition reaction on a peptide consisting of ()-α,β-unsaturated γ-amino acids. In addition, we observed highly diastereoselective β-addition products from the thiophenol and thioethanol conjugate addition reaction on peptides.

View Article and Find Full Text PDF

[Nephrology : what's new in 2024 (II)].

Rev Med Suisse

January 2025

Service de néphrologie, Département de médecine, Hôpitaux universitaires de Genève, Genève 14.

Certain molecules, such as GLP-1 agonists and endothelin antagonists, possess nephroprotective properties. When treating IgA nephropathy, endothelin antagonists and sibeprenlimab have shown effectiveness in slowing the progression of chronic kidney isease. Additionally, the infusion of amino acids can reduce the incidence of mild acute kidney injury following cardiac surgery.

View Article and Find Full Text PDF

Dissecting AlphaFold2's capabilities with limited sequence information.

Bioinform Adv

November 2024

Institute of Biochemistry and Molecular Medicine, University of Bern, Bern 3012, Switzerland.

Summary: Protein structure prediction aims to infer a protein's three-dimensional (3D) structure from its amino acid sequence. Protein structure is pivotal for elucidating protein functions, interactions, and driving biotechnological innovation. The deep learning model AlphaFold2, has revolutionized this field by leveraging phylogenetic information from multiple sequence alignments (MSAs) to achieve remarkable accuracy in protein structure prediction.

View Article and Find Full Text PDF

Background: Branched-chain amino acids (BCAAs) are widely used as sports nutrition supplements. However, their impact on the rate of force development (RFD), an indicator of explosive muscle strength, has not yet been validated. This study aimed to assess the impact of BCAA supplementation on the RFD in college basketball players during simulated games.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!