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David R Morris

Publications and source records attributed to David R Morris.

5 recordsLinked to original sources

The undertranslated transcriptome reveals widespread translational silencing by alternative 5' transcript leaders.

BACKGROUND: Translational efficiencies in Saccharomyces cerevisiae vary from transcript to transcript by approximately two orders of magnitude. Many of the poorly translated transcripts were found to respond to the appropriate external stimulus by recruiting ribosomes. Unexpectedly, a high frequency of these transcripts showed the appearance of altered 5' leaders that coincide with increased ribosome loading. RESULTS: Of the detectable transcripts in S. cerevisiae, 8% were found to be underloaded with ribosomes. Gene ontology categories of responses to stress or external stimuli were overrepresented in this population of transcripts. Seventeen poorly loaded transcripts involved in responses to pheromone, nitrogen starvation, and osmotic stress were selected for detailed study and were found to respond to the appropriate environmental signal with increased ribosome loading. Twelve of these regulated transcripts exhibited structural changes in their 5' transcript leaders in response to the environmental signal. In many of these the coding region remained intact, whereas regulated shortening of the 5' end truncated the open reading frame in others. Colinearity between the gene and transcript sequences eliminated regulated splicing as a mechanism for these alterations in structure. CONCLUSION: Frequent occurrence of coordinated changes in transcript structure and translation efficiency, in at least three different gene regulatory networks, suggests a widespread phenomenon. It is likely that many of these altered 5' leaders arose from changes in promoter usage. We speculate that production of translationally silenced transcripts may be one mechanism for allowing low-level transcription activity necessary for maintaining an open chromatin structure while not allowing inappropriate protein production.

5' Untranslated Regions↗

Gene expression analyzed by high-resolution state array analysis and quantitative proteomics: response of yeast to mating pheromone.

The transcriptome provides the database from which a cell assembles its collection of proteins. Translation of individual mRNA species into their encoded proteins is regulated, producing discrepancies between mRNA and protein levels. Using a new modeling approach to data analysis, a striking diversity is revealed in association of the transcriptome with the translational machinery. Each mRNA has its own pattern of ribosome loading, a circumstance that provides an extraordinary dynamic range of regulation, above and beyond actual transcript levels. Using this approach together with quantitative proteomics, we explored the immediate changes in gene expression in response to activation of a mitogen-activated protein kinase pathway in yeast by mating pheromone. Interestingly, in 26% of those transcripts where the predicted protein synthesis rate changed by at least 3-fold, more than half of these changes resulted from altered translational efficiencies. These observations underscore that analysis of transcript level, albeit extremely important, is insufficient by itself to describe completely the phenotypes of cells under different conditions.

Computational Biology↗

The two upstream open reading frames of oncogene mdm2 have different translational regulatory properties.

Few details are known of the mechanisms through which multiple upstream open reading frames (uORFs) interact to regulate translation in higher eukaryotes. The predominant transcript of oncogene mdm2 in normal human cells (L-mdm2) contains two upstream open reading frames in its 5' leader. Elimination of these two uORFs raises the translational efficiency of the transcript by over 10-fold in HeLa cells. The 5'-most uORF (uORF1) alone suppresses downstream translational activity by over 5-fold, whereas uORF2 contributes <2-fold to the inhibition by the intact leader. The different activities of the two uORFs do not depend on the nucleotide sequence surrounding the uORFs in the 5' leader, the order of the two uORFs in the 5' leader, or the occurrence of secondary structure or rare codons within the uORFs. Specific features of the amino acid sequence encoded by uORF1 contribute to its stronger suppressive activity, suggesting that it belongs to the class of "sequence-specific" uORFs. The weaker inhibitory activity inherent in uORF2 is potentiated by a sub-optimal nucleotide context surrounding its initiator AUG. The occurrence of two uORFs with differing activities in both the human gene and the mouse orthologue suggests that this pair of elements may play a fundamental role in regulating expression of the mdm2 gene.

5' Untranslated Regions↗

The transcriptome and its translation during recovery from cell cycle arrest in Saccharomyces cerevisiae.

Complete genome sequences together with high throughput technologies have made comprehensive characterizations of gene expression patterns possible. While genome-wide measurement of mRNA levels was one of the first applications of these advances, other important aspects of gene expression are also amenable to a genomic approach, for example, the translation of message into protein. Earlier we reported a high throughput technology for simultaneously studying mRNA level and translation, which we termed translation state array analysis, or TSAA. The current studies test the proposition that TSAA can identify novel instances of translation regulation at the genome-wide level. As a biological model, cultures of Saccharomyces cerevisiae were cell cycle-arrested using either alpha-factor or the temperature-sensitive cdc15-2 allele. Forty-eight mRNAs were found to change significantly in translation state following release from alpha-factor arrest, including genes involved in pheromone response and cell cycle arrest such as BAR1, SST2, and FAR1. After the shift of the cdc15-2 strain from 37 degrees C to 25 degrees C, 54 mRNAs were altered in translation state, including the products of the stress genes HSP82, HSC82, and SSA2. Thus, regulation at the translational level seems to play a significant role in the response of yeast cells to external physical or biological cues. In contrast, surprisingly few genes were found to be translationally controlled as cells progressed through the cell cycle. Additional refinements of TSAA should allow characterization of both transcriptional and translational regulatory networks on a genomic scale, providing an additional layer of information that can be integrated into models of system biology and function.

Cell Cycle↗

Regulated translation termination at the upstream open reading frame in s-adenosylmethionine decarboxylase mRNA.

The upstream open reading frame (uORF) in the mRNA encoding S-adenosylmethionine decarboxylase is a cis-acting element that confers feedback control by cellular polyamines on translation of this message. Recent studies demonstrated that elevated polyamines inhibit synthesis of the peptide encoded by the uORF by stabilizing a ribosome paused in the vicinity of the termination codon. These studies suggested that polyamines act at the termination step of uORF translation. In this paper, we demonstrate that elevated polyamines stabilize an intermediate in the termination process, the complete nascent peptide linked to the tRNA that decodes the final codon. The peptidyl-tRNA molecule is found associated with the ribosome fraction, and decay of this molecule correlated with release of the paused ribosome from the message. Furthermore, the stability of this complex is influenced by the same parameters that influence regulation by the uORF in vivo, namely the concentration of polyamines and the sequence of the uORF-encoded peptide. These results suggest that the regulated step in uORF translation is after formation of the peptidyl-tRNA molecule but before hydrolysis of the peptidyl-tRNA bond. This regulation may involve an interaction between the peptide, polyamines, and a target in the translational apparatus.

Adenosylmethionine Decarboxylase↗