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Two distinct components of release factor function uncovered by nucleophile partitioning analysis.

ABSTRACT: During translation termination, release factor (RF) protein catalyzes a hydrolytic reaction in the large subunit peptidyl transferase center to release the finished polypeptide chain. While the mechanism of catalysis of peptide release remains obscure, important contributing factors have been identified, including conserved active-site nucleotides and a GGQ tripeptide motif in the RF. Here we describe pre-steady-state kinetic and nucleophile competition experiments to examine RF contributions to the rate and specificity of peptide release. We find that while unacylated tRNA stimulates release in a nondiscriminating manner, RF1 is very specific for water. Further analysis reveals that amino acid Q235 of the RF1 GGQ motif is critical for the observed specificity. These data lead to a model where RFs make two distinct contributions to catalysis--a relatively nonspecific activation of the catalytic center and specific selection of water as a nucleophile facilitated by Q235.

SUBMITTER: Shaw JJ

PROVIDER: S-EPMC2175178 | biostudies-literature | 2007 Nov

REPOSITORIES: biostudies-literature

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Two distinct components of release factor function uncovered by nucleophile partitioning analysis.

Shaw Jeffrey J JJ Green Rachel R

Molecular cell 20071101 3

During translation termination, release factor (RF) protein catalyzes a hydrolytic reaction in the large subunit peptidyl transferase center to release the finished polypeptide chain. While the mechanism of catalysis of peptide release remains obscure, important contributing factors have been identified, including conserved active-site nucleotides and a GGQ tripeptide motif in the RF. Here we describe pre-steady-state kinetic and nucleophile competition experiments to examine RF contributions to ...[more]

PMID: 17996709

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Project description:BackgroundThe growth factor receptor network (GFRN) plays a significant role in driving key oncogenic processes. However, assessment of global GFRN activity is challenging due to complex crosstalk among GFRN components, or pathways, and the inability to study complex signaling networks in patient tumors. Here, pathway-specific genomic signatures were used to interrogate GFRN activity in breast tumors and the consequent phenotypic impact of GRFN activity patterns.MethodsNovel pathway signatures were generated in human primary mammary epithelial cells by overexpressing key genes from GFRN pathways (HER2, IGF1R, AKT1, EGFR, KRAS (G12V), RAF1, BAD). The pathway analysis toolkit Adaptive Signature Selection and InteGratioN (ASSIGN) was used to estimate pathway activity for GFRN components in 1119 breast tumors from The Cancer Genome Atlas (TCGA) and across 55 breast cancer cell lines from the Integrative Cancer Biology Program (ICBP43). These signatures were investigated for their relationship to pro- and anti-apoptotic protein expression and drug response in breast cancer cell lines.ResultsApplication of these signatures to breast tumor gene expression data identified two novel discrete phenotypes characterized by concordant, aberrant activation of either the HER2, IGF1R, and AKT pathways ("the survival phenotype") or the EGFR, KRAS (G12V), RAF1, and BAD pathways ("the growth phenotype"). These phenotypes described a significant amount of the variability in the total expression data across breast cancer tumors and characterized distinctive patterns in apoptosis evasion and drug response. The growth phenotype expressed lower levels of BIM and higher levels of MCL-1 proteins. Further, the growth phenotype was more sensitive to common chemotherapies and targeted therapies directed at EGFR and MEK. Alternatively, the survival phenotype was more sensitive to drugs inhibiting HER2, PI3K, AKT, and mTOR, but more resistant to chemotherapies.ConclusionsGene expression profiling revealed a bifurcation pattern in GFRN activity represented by two discrete phenotypes. These phenotypes correlate to unique mechanisms of apoptosis and drug response and have the potential of pinpointing targetable aberration(s) for more effective breast cancer treatments.

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Two distinct components of release factor function uncovered by nucleophile partitioning analysis.

Publications

Two distinct components of release factor function uncovered by nucleophile partitioning analysis.

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