A novel p53-inducible apoptogenic gene, PRG3, encodes a homologue of the apoptosis-inducing factor (AIF).

The p53 tumor suppressor protein induces cell cycle arrest or apoptosis in response to cellular stresses. We have identified PRG3 (p53-responsive gene 3), which is induced specifically under p53-dependent apoptotic conditions in human colon cancer cells, and encodes a novel polypeptide of 373 amino acids with a predicted molecular mass of 40.5 kDa. PRG3 has significant homology to bacterial oxidoreductases and the apoptosis-inducing factor, AIF, and the gene was assigned to chromosome 10q21.3-q22.1. Expression of PRG3 was induced by the activation of endogenous p53 and it contains a p53-responsive element. Unlike AIF, PRG3 localizes in the cytoplasm and its ectopic expression induces apoptosis. An amino-terminal deletion mutant of PRG3 that lacks a putative oxidoreductase activity retains its apoptotic activity, suggesting that the oxidoreductase activity is dispensable for the apoptotic function of PRG3. The PRG3 gene is thus a novel p53 target gene in a p53-dependent apoptosis pathway.

Interactions required for binding of simian virus 40 T antigen to the viral origin and molecular modeling of initial assembly events.

The purified T-antigen origin binding domain binds site specifically to site II, the central region of the simian virus 40 core origin. However, in the context of full-length T antigen, the origin binding domain interacts poorly with DNA molecules containing just site II. Here we investigate the contributions of additional core origin regions, termed the flanking sequences, to origin recognition and the assembly of T-antigen hexamers and double hexamers. Results from these studies indicate that in addition to site-specific binding of the T-antigen origin binding domain to site II, T-antigen assembly requires non-sequence-specific interactions between a basic finger in the helicase domain and particular flanking sequences. Related studies demonstrate that the assembly of individual hexamers is coupled to the distortions in the proximal flanking sequence. In addition, the point in the double-hexamer assembly process that is regulated by phosphorylation of threonine 124, the sole posttranslational modification required for initiation of DNA replication, was further analyzed. Finally, T-antigen structural information is used to model various stages of T-antigen assembly on the core origin and the regulation of this process.

Predicting GPCR-G-protein coupling using hidden Markov models.

MOTIVATION: Determining the coupling specificity of G-protein coupled receptors (GPCRs) is important for understanding the biology of this class of pharmacologically important proteins. Currently available in silico methods for predicting GPCR-G-protein coupling specificity have high error rate. METHOD: We introduce a new approach for creating hidden Markov models (HMMs) based on a first guess about the importance of various residues. We call these knowledge restricted HMMs to emphasize the fact that the state space of the HMM is restricted by the application of a priori knowledge. Specifically, we use only those amino acid residues of GPCRs which are likely to interact with G-proteins, namely those that are predicted to be in the intra-cellular loops. Furthermore, we concatenate these predicted loops into one sequence rather than considering them as four disparate units. This reduces the HMM state space by drastically decreasing the sequence length. RESULTS: Our knowledge restricted HMM based method to predict GPCR-G-protein coupling specificity has an error rate of <1%, when applied to a test set of GPCRs with known G-protein coupling specificity. AVAILABILITY: Academic users can get the data set mentioned herein and HMMs from the authors.