A stochastic approximation algorithm with Markov chain Monte-Carlo method for incomplete data estimation problems

We propose a general procedure for solving incomplete data estimation problems. The procedure can be used to find the maximum likelihood estimate or to solve estimating equations in difficult cases such as estimation with the censored or truncated regression model, the nonlinear structural measurement error model, and the random effects model. The procedure is based on the general principle of stochastic approximation and the Markov chain Monte-Carlo method. Applying the theory on adaptive algorithms, we derive conditions under which the proposed procedure converges. Simulation studies also indicate that the proposed procedure consistently converges to the maximum likelihood estimate for the structural measurement error logistic regression model.

Collagenase-3 Induction in Rat Lung Fibroblasts Requires the Combined Effects of Tumor Necrosis Factor-α and 12-Lipoxygenase Metabolites: A Model of Macrophage-induced, Fibroblast-driven Extracellular Matrix Remodeling during Inflammatory Lung Injury

The mechanisms responsible for the induction of matrix-degrading proteases during lung injury are ill defined. Macrophage-derived mediators are believed to play a role in regulating synthesis and turnover of extracellular matrix at sites of inflammation. We find a localized increase in the expression of the rat interstitial collagenase (MMP-13; collagenase-3) gene from fibroblastic cells directly adjacent to macrophages within silicotic rat lung granulomas. Conditioned medium from macrophages isolated from silicotic rat lungs was found to induce rat lung fibroblast interstitial collagenase gene expression. Conditioned medium from primary rat lung macrophages or J774 monocytic cells activated by particulates in vitro also induced interstitial collagenase gene expression. Tumor necrosis factor-α (TNF-α) alone did not induce interstitial collagenase expression in rat lung fibroblasts but did in rat skin fibroblasts, revealing tissue specificity in the regulation of this gene. The activity of the conditioned medium was found to be dependent on the combined effects of TNF-α and 12-lipoxygenase-derived arachidonic acid metabolites. The fibroblast response to this conditioned medium was dependent on de novo protein synthesis and involved the induction of nuclear activator protein-1 activity. These data reveal a novel requirement for macrophage-derived 12-lipoxygenase metabolites in lung fibroblast MMP induction and provide a mechanism for the induction of resident cell MMP gene expression during inflammatory lung processes.

Peptide inhibitors of peptidyltransferase alter the conformation of domains IV and V of large subunit rRNA: a model for nascent peptide control of translation.

Peptides of 5 and 8 residues encoded by the leaders of attenuation regulated chloramphenicol-resistance genes inhibit the peptidyltransferase of microorganisms from the three kingdoms. Therefore, the ribosomal target for the peptides is likely to be a conserved structure and/or sequence. The inhibitor peptides "footprint" to nucleotides of domain V in large subunit rRNA when peptide-ribosome complexes are probed with dimethyl sulfate. Accordingly, rRNA was examined as a candidate for the site of peptide binding. Inhibitor peptides MVKTD and MSTSKNAD were mixed with rRNA phenol-extracted from Escherichia coli ribosomes. The conformation of the RNA was then probed by limited digestion with nucleases that cleave at single-stranded (T1 endonuclease) and double-stranded (V1 endonuclease) sites. Both peptides selectively altered the susceptibility of domains IV and V of 23S rRNA to digestion by T1 endonuclease. Peptide effects on cleavage by V1 nuclease were observed only in domain V. The T1 nuclease susceptibility of domain V of in vitro-transcribed 23S rRNA was also altered by the peptides, demonstrating that peptide binding to the rRNA is independent of ribosomal protein. We propose the peptides MVKTD and MSTSKNAD perturb peptidyltransferase center catalytic activities by altering the conformation of domains IV and V of 23S rRNA. These findings provide a general mechanism through which nascent peptides may cis-regulate the catalytic activities of translating ribosomes.