G. Lynn Law

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.

Gene expression in yeast responding to mating pheromone: Analysis by high-resolution translation state analysis and quantitative proteomics

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.

Transcription factor ZBP-89 regulates the activity of the ornithine decarboxylase promoter

Appropriate cellular levels of polyamines are required for cell growth and differentiation. Ornithine decarboxylase is a key regulatory enzyme in the biosynthesis of polyamines, and precise regulation of the expression of this enzyme is required, according to cellular growth state. A variety of mitogens increase the level of ornithine decarboxylase activity, and, in most cases, this elevation is due to increased levels of mRNA. A GC box in the proximal promoter of the ornithine decarboxylase gene is required for basal and induced transcriptional activity, and two proteins, Sp1 and NF-ODC1, bind to this region in a mutually exclusive manner. Using a yeast one-hybrid screening method, ZBP-89, a DNA-binding protein, was identified as a candidate for the protein responsible for NF-ODC1 binding activity. Three lines of evidence verified this identification; ZBP-89 copurified with NF-ODC1 binding activity, ZBP-89 antibodies specifically abolished NF-ODC1 binding to the GC box, and binding affinities of 12 different double-stranded oligonucleotides were indistinguishable between NF-ODC1, in nuclear extract, andin vitro translated ZBP-89. ZBP-89 inhibited the activation of the ornithine decarboxylase promoter by Sp1 in Schneider’sDrosophila line 2, consistent with properties previously attributed to NF-ODC1.

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 α-factor or the temperature-sensitive cdc15-2 allele. Forty-eight mRNAs were found to change significantly in translation state following release from α-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 °C to 25 °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.

PSGL-1 and mTOR regulate translation of ROCK-1 and physiological functions of macrophages

Rho‐associated kinases (ROCKs) are critical molecules involved in the physiological functions of macrophages, such as chemotaxis and phagocytosis. We demonstrate that macrophage adherence promotes rapid changes in physiological functions that depend on translational upregulation of preformed ROCK‐1 mRNA, but not ROCK‐2 mRNA. Before adherence, both ROCK mRNAs were present in the cytoplasm of macrophages, whereas ROCK proteins were undetectable. Macrophage adherence promoted signaling through P‐selectin glycoprotein ligand‐1 (PSGL‐1)/Akt/mTOR that resulted in synthesis of ROCK‐1, but not ROCK‐2. Following synthesis, ROCK‐1 was catalytically active. In addition, there was a rapamycin/sirolimus‐sensitive enhanced loading of ribosomes on preformed ROCK‐1 mRNAs. Inhibition of mTOR by rapamycin abolished ROCK‐1 synthesis in macrophages resulting in an inhibition of chemotaxis and phagocytosis. Macrophages from PSGL‐1‐deficient mice recapitulated pharmacological inhibitor studies. These results indicate that receptor‐mediated regulation at the level of translation is a component of a rapid set of mechanisms required to direct the macrophage phenotype upon adherence and suggest a mechanism for the immunosuppressive and anti‐inflammatory effects of rapamycin/sirolimus.

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

BackgroundTranslational 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.ResultsOf 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.ConclusionFrequent 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.

Adr1 and Cat8 Mediate Coactivator Recruitment and Chromatin Remodeling at Glucose-Regulated Genes

Background Adr1 and Cat8 co-regulate numerous glucose-repressed genes in S. cerevisiae, presenting a unique opportunity to explore their individual roles in coactivator recruitment, chromatin remodeling, and transcription. Methodology/Principal Findings We determined the individual contributions of Cat8 and Adr1 on the expression of a cohort of glucose-repressed genes and found three broad categories: genes that need both activators for full derepression, genes that rely mostly on Cat8 and genes that require only Adr1. Through combined expression and recruitment data, along with analysis of chromatin remodeling at two of these genes, ADH2 and FBP1, we clarified how these activators achieve this wide range of co-regulation. We find that Adr1 and Cat8 are not intrinsically different in their abilities to recruit coactivators but rather, promoter context appears to dictate which activator is responsible for recruitment to specific genes. These promoter-specific contributions are also apparent in the chromatin remodeling that accompanies derepression: ADH2 requires both Adr1 and Cat8, whereas, at FBP1, significant remodeling occurs with Cat8 alone. Although over-expression of Adr1 can compensate for loss of Cat8 at many genes in terms of both activation and chromatin remodeling, this over-expression cannot complement all of the cat8Δ phenotypes. Conclusions/Significance Thus, at many of the glucose-repressed genes, Cat8 and Adr1 appear to have interchangeable roles and promoter architecture may dictate the roles of these activators.

The transcriptional coactivators SAGA, SWI/SNF, and mediator make distinct contributions to activation of glucose-repressed genes.

The paradigm of activation via ordered recruitment has evolved into a complicated picture as the influence of coactivators and chromatin structures on gene regulation becomes understood. We present here a comprehensive study of many elements of activation of ADH2 and FBP1, two glucose-regulated genes. We identify SWI/SNF as the major chromatin-remodeling complex at these genes, whereas SAGA (Spt-Ada-Gcn5-acetyltransferase complex) is required for stable recruitment of other coactivators. Mediator plays a crucial role in expression of both genes but does not affect chromatin remodeling. We found that Adr1 bound unaided by coactivators to ADH2, but Cat8 binding depended on coactivators at FBP1. Taken together, our results suggest that commonly regulated genes share many aspects of activation, but that gene-specific regulators or elements of promoter architecture may account for small differences in the mechanism of activation. Finally, we found that activator overexpression can compensate for the loss of SWI/SNF but not for the loss of SAGA.

A Poised Initiation Complex Is Activated by SNF1

Snf1, the yeast AMP kinase homolog, is essential for derepression of glucose-repressed genes that are activated by Adr1. Although required for Adr1 DNA binding, the precise role of Snf1 is unknown. Deletion of histone deacetylase genes allowed constitutive promoter binding of Adr1 and Cat8, another activator of glucose-repressed genes. In repressed conditions, at the Adr1-and Cat8-dependent ADH2 promoter, partial chromatin remodeling had occurred, and the activators recruited a partial preinitiation complex that included RNA polymerase II. Transcription did not occur, however, unless Snf1 was activated, suggesting a Snf1-dependent event that occurs after RNA polymerase II recruitment. Glucose regulation persisted because shifting to low glucose increased expression. Glucose repression could be completely relieved by combining the three elements of 1) chromatin perturbation by mutation of histone deacetylases, 2) activation of Snf1, and 3) the addition of an Adr1 mutant that by itself confers only weak constitutive activity.

Analysis of nucleosome positioning using a nucleosome-scanning assay

The nucleosome-scanning assay (NuSA) couples isolation of mononucleosomal DNA after micrococcal nuclease (MNase) digestion with quantitative real-time PCR (qPCR) to map nucleosome positions in chromatin. It is a relatively simple, rapid procedure that can produce a high-resolution map of nucleosome location and occupancy and thus is suitable for analyzing individual promoters in great detail. The analysis can also quantify the protection of DNA sequences due to interaction with proteins other than nucleosomes and show how this protection varies when conditions change. When coupled with chromatin immunoprecipitation (ChIP), NuSA can identify histone variants and modifications associated with specific nucleosomes.