David R. Morris

Direct analysis of protein complexes using mass spectrometry

We describe a rapid, sensitive process for comprehensively identifying proteins in macromolecular complexes that uses multidimensional liquid chromatography (LC) and tandem mass spectrometry (MS/MS) to separate and fragment peptides. The SEQUEST algorithm, relying upon translated genomic sequences, infers amino acid sequences from the fragment ions. The method was applied to the Saccharomyces cerevisiae ribosome leading to the identification of a novel protein component of the yeast and human 40S subunit. By offering the ability to identify >100 proteins in a single run, this process enables components in even the largest macromolecular complexes to be analyzed comprehensively.

Upstream open reading frames as regulators of mRNA translation.

Continuing discoveries of new and surprising mechanisms of gene regulation suggest that our understanding of this complex and ubiquitous biological process remains incomplete. Emerging examples illustrate that many and perhaps all genes are regulated at multiple steps including transcription, posttranscriptional processing, nuclear export and localization, stability, and translation of mature mRNA molecules. Translation itself is regulated by a diverse collection of mechanisms that act not only at the initiation step but also during elongation and termination and even after termination. Among the various cis elements in mRNAs (43) that participate in regulating translation are AUG codons within transcript leaders (upstream AUGs [uAUGs]) and, in some cases, associated upstream open reading frames (uORFs). Based on a 1987 survey, less than 10% of eukaryotic mRNAs contain AUG codons within their transcript leader regions (often erroneously referred to as 5′ untranslated regions). However, uAUGs are conspicuously common in certain classes of genes, including two-thirds of oncogenes and many other genes involved in the control of cellular growth and differentiation (29, 31, 42). Despite the wealth of sequence data being generated by large-scale sequencing projects, extracting an up-to-date, comprehensive, and accurate estimate of the number of genes with uORFs is a formidable task. Only a minority of database entries are based on careful mRNA mapping data with annotations that identify the precise start of the transcript leader. Moreover, the use of alternative transcriptional start sites, alternative RNA processing, and alternative initiation codons complicates the determination of what exactly constitutes the transcript leader. Nonetheless, it is clear that uAUGs are not uncommon in genes with critical cellular roles, and identifying when and how they function is necessary if we are to achieve a comprehensive understanding of the interesting genes that contain these elements and of eukaryotic gene regulation in general. Some of the general principles by which uORFs participate in translational control are beginning to be understood. In this article, we first review these principles, which include the process of recognition of uORFs, regulation of reinitiation at downstream cistrons after translation of uORFs, and regulatory effects of peptides encoded by uORFs. We then illustrate how these principles are applied by reviewing several specific examples where the roles of uORFs in translational control have been well characterized.

Gene expression analysis reveals matrilysin as a key regulator of pulmonary fibrosis in mice and humans

Pulmonary fibrosis is a progressive and largely untreatable group of disorders that affects up to 100,000 people on any given day in the United States. To elucidate the molecular mechanisms that lead to end-stage human pulmonary fibrosis we analyzed samples from patients with histologically proven pulmonary fibrosis (usual interstitial pneumonia) by using oligonucleotide microarrays. Gene expression patterns clearly distinguished normal from fibrotic lungs. Many of the genes that were significantly increased in fibrotic lungs encoded proteins associated with extracellular matrix formation and degradation and proteins expressed in smooth muscle. Using a combined set of scoring systems we determined that matrilysin (matrix metalloproteinase 7), a metalloprotease not previously associated with pulmonary fibrosis, was the most informative increased gene in our data set. Immunohistochemisry demonstrated increased expression of matrilysin protein in fibrotic lungs. Furthermore, matrilysin knockout mice were dramatically protected from pulmonary fibrosis in response to intratracheal bleomycin. Our results identify matrilysin as a mediator of pulmonary fibrosis and a potential therapeutic target. They also illustrate the power of global gene expression analysis of human tissue samples to identify molecular pathways involved in clinical disease.

Cell-type-specific isolation of ribosome-associated mRNA from complex tissues

Gene profiling techniques allow the assay of transcripts from organs, tissues, and cells with an unprecedented level of coverage. However, most of these approaches are still limited by the fact that organs and tissues are composed of multiple cell types that are each unique in their patterns of gene expression. To identify the transcriptome from a single cell type in a complex tissue, investigators have relied upon physical methods to separate cell types or in situ hybridization and immunohistochemistry. Here, we describe a strategy to rapidly and efficiently isolate ribosome-associated mRNA transcripts from any cell type in vivo. We have created a mouse line, called RiboTag, which carries an Rpl22 allele with a floxed wild-type C-terminal exon followed by an identical C-terminal exon that has three copies of the hemagglutinin (HA) epitope inserted before the stop codon. When the RiboTag mouse is crossed to a cell-type-specific Cre recombinase-expressing mouse, Cre recombinase activates the expression of epitope-tagged ribosomal protein RPL22ha, which is incorporated into actively translating polyribosomes. Immunoprecipitation of polysomes with a monoclonal antibody against HA yields ribosome-associated mRNA transcripts from specific cell types. We demonstrate the application of this technique in brain using neuron-specific Cre recombinase-expressing mice and in testis using a Sertoli cell Cre recombinase-expressing mouse.

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.

A Hierarchical Network Controls Protein Translation during Murine Embryonic Stem Cell Self-Renewal and Differentiation

Stem cell differentiation involves changes in transcription, but little is known about translational control during differentiation. We comprehensively profiled gene expression during differentiation of murine embryonic stem cells (ESCs) into embryoid bodies by integrating transcriptome analysis with global assessment of ribosome loading. While protein synthesis was parsimonious during self-renewal, differentiation induced an anabolic switch, with global increases in transcript abundance, polysome content, protein synthesis, and protein content. Furthermore, 78% of transcripts showed increased ribosome loading, thereby enhancing translational efficiency. Transcripts under exclusive translational control included the transcription factor ATF5, the tumor suppressor DCC, and the beta-catenin agonist Wnt1. We show that a hierarchy of translational regulators, including mTOR, 4EBP1, and the RNA-binding proteins DAZL and GRSF1, control global and selective protein synthesis during ESC differentiation. Parsimonious translation in pluripotent state and hierarchical translational regulation during differentiation may be important quality controls for self-renewal and choice of fate in ESCs.

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.

Role of two upstream open reading frames in the translational control of oncogene mdm2

Overexpression of oncoprotein MDM2 has been found in a significant number of human soft tissue tumors. In a subset of these tumors, overexpression is a result of enhanced translation of mdm2 mRNA. There are two transcripts from the mdm2 gene that differ only in their 5′ leaders: a long form (L-mdm2) and a short form (S-mdm2) that arise from the use of different promoters. L-mdm2 mRNA contains two upstream open reading frames (uORFs) and this mRNA was loaded with ribosomes inefficiently in comparison with S-mdm2. The 5′ leader of L-mdm2 was sufficient to transfer translational repression to a reporter gene and the two uORFs acted synergistically to achieve full suppression. In contrast, the 5′ leader of S-mdm2 allowed efficient translation of an attached reporter gene in the tumor cells. These results are consistent with a model in which overexpression of MDM2 in certain tumors results from a change in mRNA structure due to a switch in promoter usage.

The Upstream Open Reading Frame of the mRNA Encoding S-Adenosylmethionine Decarboxylase Is a Polyamine-responsive Translational Control Element

S-Adenosylmethionine decarboxylase (AdoMetDC) is a key enzyme in the pathway of polyamine biosynthesis. The cellular levels of the polyamines specifically regulate AdoMetDC translation through the 5′-leader of the mRNA, which contains a small upstream open reading frame (uORF) 14 nucleotides from the cap. Mutating the initiation codon of the uORF, which encodes a peptide product with the sequence MAGDIS, abolished regulation. In addition, the uORF is sufficient, by itself, to provide polyamine regulation when inserted into the 5′-leader of the human growth hormone mRNA. Changing the amino acid sequence at the carboxyl terminus of the peptide product of the uORF abolished polyamine regulation. In contrast, altering the nucleotide sequence of the uORF at degenerate positions, without changing the amino acid sequence of the peptide, did not affect regulation. Extending the distance between cap and uORF, thereby changing the rate of initiation at the initiator AUG of the uORF, did not alter polyamine regulation. When the uORF was extended so as to overlap, out of frame, the downstream major cistron, polyamine regulation was abolished. We propose that polyamines do not modulate the rate of recognition of the uORF but rather regulate interaction of the peptide product of the uORF with its target.

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.