The ribosome as novel target for stress-induced small regulatory RNAs

Small non-protein-coding RNA (ncRNA) molecules represent major contributors to regulatory networks in controlling gene expression in a highly efficient manner. All of the recently discovered regulatory ncRNAs that act on translation (e.g. microRNAs, siRNAs or antisense RNAs) target the mRNA rather than the ribosome. To address the question, whether small ncRNA regulators exist that are capable of modulating the rate of protein production by directly interacting with the ribosome, we have analyzed the small ncRNA interactomes of ribosomes Deep-sequencing and subsequent bioinformatic analyses revealed thousands of putative ribosome-associated ncRNAs in various model organisms (1,2). For a subset of these ncRNA candidates we have gathered experimental evidence that they associate with ribosomes in a stress-dependent manner and are capable of regulating gene expression by fine-tuning the rate of protein biosynthesis (3,4). Many of the investigated ribosome-bound small ncRNA appear to be processing products from larger functional RNAs, such as tRNAs (2,3) or mRNAs (3). Post-transcriptional cleavage of RNA molecules to generate smaller fragments is a widespread mechanism that enlarges the structural and functional complexity of cellular RNomes. Our data reveal the ribosome as a target for small regulatory ncRNAs and demonstrate the existence of a yet unknown mechanism of translation regulation. Ribosome-associated ncRNAs (rancRNAs) are found in all domains of life and represent a prevalent but so far largely unexplored class of regulatory molecules (5). Future work on the small ncRNA interactomes of ribosomes in a variety of model systems will allow deeper insight into the conservation and functional repertoire of this emerging class of regulatory ncRNA molecules.

Ribosome-associated ncRNAs (rancRNAs) An emerging class of translation regulators

Small non-protein-coding RNA (ncRNA) molecules represent major contributors to regulatory networks in controlling gene expression in a highly efficient manner. Most of the recently discovered regulatory ncRNAs acting on translation target the mRNA rather than the ribosome (e.g.: miRNAs, siRNAs, antisense RNAs). To address the question, whether ncRNA regulators exist that are capable of modulating the rate of protein production by directly interacting with the ribosome, we have analyzed the small ncRNA interactomes of ribosomes. Deep-sequencing analyses revealed thousands of putative rancRNAs in various model organisms (1,2). For a subset of these ncRNA candidates we have gathered experimental evidence that they associate with ribosomes in a stress-dependent manner and fine-tune the rate of protein biosynthesis (3,4). Many of the investigated rancRNAs appear to be processing products of larger functional RNAs, such as tRNAs (2,3), mRNAs (3), or snoRNAs (2). Post-transcriptional cleavage of RNA to generate smaller fragments is a widespread mechanism that enlarges the structural and functional complexity of cellular RNomes. Our data disclose the ribosome as target for small regulatory RNAs. rancRNAs are found in all domains of life and represent a prevalent but so far largely unexplored class of regulatory molecules (5). Ongoing work in our lab revealed first insight into rancRNA processing and mechanism of this emerging class of translation regulators.

Oxidized bases in the ribosome's peptidyl transferase center and their effects on translation

The ribosome is central to protein biosynthesis and the focus of extensive research. Recent biochemical and structural studies, especially detailed crystal structures and high resolution Cryo-EM in different functional states have broadened our understanding of the ribosome and its mode of action. However, the exact mechanism of peptide bond formation and how the ribosome catalyzes this reaction is not yet understood. Also, consequences of direct oxidative stress to the ribosome and its effects on translation have not been studied. So far, no conventional replacement or even removal of the peptidyl transferase center's bases has been able to affect in vitro translation. Significant contribution to the catalytic activity seems to stem from the ribose-phosphate backbone, specifically 2'OH of A2451. Using the technique of atomic mutagenesis, novel unnatural bases can be introduced to any desired position in the 23S rRNA, surpassing conventional mutagenesis and effectively enabling to alter single atoms in the ribosome. Reconstituting ribosomes in vitro using this approach, we replaced universally conserved PTC bases with synthetic counterparts carrying the most common oxidations 8-oxorA, 5-HOrU and 5-HOrC. To investigate the consequent effects on translation, the chemically engineered ribosomes were studied the in various functional assays. Incorporation of different oxidized bases into the 70S ribosome affected the ribosomes in different ways. Depending on the nucleobase modified, the reconstituted ribosomes exhibited radical deceleration of peptide bond formation, decrease of synthesis efficiency or even an increase of translation rate. These results may further our understanding of the residues involved in the peptide bond formation mechanism, as well as the disease-relevant effects of oxydative stress on the translation machinery.

Oxidized bases in the ribosome's peptidyl transferase center and their effects on translation

The ribosome is central to protein biosynthesis and the focus of extensive research. Recent biochemical and structural studies, especially detailed crystal structures and high resolution Cryo-EM in different functional states have broadened our understanding of the ribosome and its mode of action. However, the exact mechanism of peptide bond formation and how the ribosome catalyzes this reaction is not yet understood. Also, consequences of direct oxidative stress to the ribosome and its effects on translation have not been studied. So far, no conventional replacement or even removal of the peptidyl transferase center's bases has been able to affect in vitro translation. Significant contribution to the catalytic activity seems to stem from the ribose-phosphate backbone, specifically 2'OH of A2451. Using the technique of atomic mutagenesis, novel unnatural bases can be introduced to any desired position in the 23S rRNA, surpassing conventional mutagenesis and effectively enabling to alter single atoms in the ribosome. Reconstituting ribosomes in vitro using this approach, we replaced universally conserved PTC bases with synthetic counterparts carrying the most common oxidations 8-oxorA, 5-HOrU and 5-HOrC. To investigate the consequent effects on translation, the chemically engineered ribosomes were studied the in various functional assays. Incorporation of different oxidized bases into the 70S ribosome affected the ribosomes in different ways. Depending on the nucleobase modified, the reconstituted ribosomes exhibited radical deceleration of peptide bond formation, decrease of synthesis efficiency or even an increase of translation rate. These results may further our understanding of the residues involved in the peptide bond formation mechanism, as well as the disease-relevant effects of oxydative stress on the translation machinery.

An intergenic non-coding RNA targets and regulates the ribosome in H. volcanii

As translation is the final step in gene expression it is particularly important to understand the processes involved in translation regulation. It was shown in the last years that a class of RNA, the non-protein-coding RNAs (ncRNAs), is involved in regulation of gene expression via various mechanisms (e.g. gene silencing by microRNAs). Almost all of these ncRNA discovered so far target the mRNA in order to modulate protein biosynthesis, this is rather unexpected considering the crucial role of the ribosome during gene expression. However, recent data from our laboratory showed that there is a new class of ncRNAs, which target the ribosome itself [Gebetsberger et al., 2012/ Pircher et al, 2014]. These so called ribosome-associated ncRNAs (rancRNAs) have an impact on translation regulation, mainly by interfering / modulating the rate of protein biosynthesis. The main goal of this project is to identify and describe novel potential regulatory rancRNAs in H. volcanii with the focus on intergenic candidates. Northern blot analyses already revealed interactions with the ribosome and showed differential expression of rancRNAs during different growth phases or under specific stress conditions. To investigate the biological relevance of these rancRNAs, knock-outs were generated in H. volcanii which were used for phenotypic characterization studies. The rancRNA s194 showed association with the 50S ribosomal subunit in vitro and in vivo and was capable of inhibiting peptide bond formation and seems to inhibit translation in vitro. These preliminary data for the rancRNA s194 make it an interesting candidate for further functional studies to identify the molecular mechanisms by which rancRNAs can modulate protein biosynthesis. Characterization of further rancRNA candidates are also underway.

Mechanistic insights into tRNA translocation on the ribosome

The ribosome is a highly conserved cellular complex and constitutes the center of protein biosynthesis. As the ribosome consists to about 2/3 of ribosomal RNA (rRNA), the rRNA is involved in most steps of translation. In order to investigate the role of some defined rRNA residues in different aspects of translation we use the atomic mutagenesis approach. This method allows the site-specific incorporation of unnatural nucleosides into the rRNA in the context of the complete 70S from Thermus aquaticus, and thereby exceeds the possibilities of conventional mutagenesis. We first studied ribosome-stimulated EF-G GTP hydrolysis. Here, we could show that the non-bridging phosphate oxygen of A2662, which is part of the Sarcin-Ricin-Loop, is required for EF-G GTPase activation by the ribosome. EF-G GTPase is a crucial step for tRNA translocation from the A- to the P-site, and from the P- to the E-site, respectively. We furthermore used the atomic mutagenesis approach to more precisely characterize the 23S rRNA functional groups involved in E-site tRNA binding. While the ribosomal A- and P-sites have been functionally well characterized in the past, the contribution of the E-site to protein biosynthesis is still poorly understood in molecular terms. Our data disclose the importance of the highly conserved E-site base pair G2421-C2395 for effective translation. Ribosomes with a disrupted G2421-C2395 base pair are defective in tRNA binding to the E-site. This results in an impaired translation of genuine mRNAs, while homo-polymeric templates are not affected. Cumulatively our data emphasize the importance of E-site tRNA occupancy and in particular the intactness of the 23S rRNA base pair G2421-C2395 for productive protein biosynthesis.

Profiling invasiveness in head and neck cancer: recent contributions of genomic and transcriptomic approaches.

High-throughput molecular profiling approaches have emerged as precious research tools in the field of head and neck translational oncology. Such approaches have identified and/or confirmed the role of several genes or pathways in the acquisition/maintenance of an invasive phenotype and the execution of cellular programs related to cell invasion. Recently published new-generation sequencing studies in head and neck squamous cell carcinoma (HNSCC) have unveiled prominent roles in carcinogenesis and cell invasion of mutations involving NOTCH1 and PI3K-patwhay components. Gene-expression profiling studies combined with systems biology approaches have allowed identifying and gaining further mechanistic understanding into pathways commonly enriched in invasive HNSCC. These pathways include antigen-presenting and leucocyte adhesion molecules, as well as genes involved in cell-extracellular matrix interactions. Here we review the major insights into invasiveness in head and neck cancer provided by high-throughput molecular profiling approaches.

Performance of gene-expression profiling test score variability to predict future clinical events in heart transplant recipients.

BACKGROUND A single non-invasive gene expression profiling (GEP) test (AlloMap®) is often used to discriminate if a heart transplant recipient is at a low risk of acute cellular rejection at time of testing. In a randomized trial, use of the test (a GEP score from 0-40) has been shown to be non-inferior to a routine endomyocardial biopsy for surveillance after heart transplantation in selected low-risk patients with respect to clinical outcomes. Recently, it was suggested that the within-patient variability of consecutive GEP scores may be used to independently predict future clinical events; however, future studies were recommended. Here we performed an analysis of an independent patient population to determine the prognostic utility of within-patient variability of GEP scores in predicting future clinical events. METHODS We defined the GEP score variability as the standard deviation of four GEP scores collected ≥315 days post-transplantation. Of the 737 patients from the Cardiac Allograft Rejection Gene Expression Observational (CARGO) II trial, 36 were assigned to the composite event group (death, re-transplantation or graft failure ≥315 days post-transplantation and within 3 years of the final GEP test) and 55 were assigned to the control group (non-event patients). In this case-controlled study, the performance of GEP score variability to predict future events was evaluated by the area under the receiver operator characteristics curve (AUC ROC). The negative predictive values (NPV) and positive predictive values (PPV) including 95 % confidence intervals (CI) of GEP score variability were calculated. RESULTS The estimated prevalence of events was 17 %. Events occurred at a median of 391 (inter-quartile range 376) days after the final GEP test. The GEP variability AUC ROC for the prediction of a composite event was 0.72 (95 % CI 0.6-0.8). The NPV for GEP score variability of 0.6 was 97 % (95 % CI 91.4-100.0); the PPV for GEP score variability of 1.5 was 35.4 % (95 % CI 13.5-75.8). CONCLUSION In heart transplant recipients, a GEP score variability may be used to predict the probability that a composite event will occur within 3 years after the last GEP score. TRIAL REGISTRATION Clinicaltrials.gov identifier NCT00761787.

Integrated mRNA and miRNA expression profiling in blood reveals candidate biomarkers associated with endurance exercise in the horse.

The adaptive response to extreme endurance exercise might involve transcriptional and translational regulation by microRNAs (miRNAs). Therefore, the objective of the present study was to perform an integrated analysis of the blood transcriptome and miRNome (using microarrays) in the horse before and after a 160 km endurance competition. A total of 2,453 differentially expressed genes and 167 differentially expressed microRNAs were identified when comparing pre- and post-ride samples. We used a hypergeometric test and its generalization to gain a better understanding of the biological functions regulated by the differentially expressed microRNA. In particular, 44 differentially expressed microRNAs putatively regulated a total of 351 depleted differentially expressed genes involved variously in glucose metabolism, fatty acid oxidation, mitochondrion biogenesis, and immune response pathways. In an independent validation set of animals, graphical Gaussian models confirmed that miR-21-5p, miR-181b-5p and miR-505-5p are candidate regulatory molecules for the adaptation to endurance exercise in the horse. To the best of our knowledge, the present study is the first to provide a comprehensive, integrated overview of the microRNA-mRNA co-regulation networks that may have a key role in controlling post-transcriptomic regulation during endurance exercise.

Computer vision profiling of neurite outgrowth dynamics reveals spatiotemporal modularity of Rho GTPase signaling

Rho guanosine triphosphatases (GTPases) control the cytoskeletal dynamics that power neurite outgrowth. This process consists of dynamic neurite initiation, elongation, retraction, and branching cycles that are likely to be regulated by specific spatiotemporal signaling networks, which cannot be resolved with static, steady-state assays. We present NeuriteTracker, a computer-vision approach to automatically segment and track neuronal morphodynamics in time-lapse datasets. Feature extraction then quantifies dynamic neurite outgrowth phenotypes. We identify a set of stereotypic neurite outgrowth morphodynamic behaviors in a cultured neuronal cell system. Systematic RNA interference perturbation of a Rho GTPase interactome consisting of 219 proteins reveals a limited set of morphodynamic phenotypes. As proof of concept, we show that loss of function of two distinct RhoA-specific GTPase-activating proteins (GAPs) leads to opposite neurite outgrowth phenotypes. Imaging of RhoA activation dynamics indicates that both GAPs regulate different spatiotemporal Rho GTPase pools, with distinct functions. Our results provide a starting point to dissect spatiotemporal Rho GTPase signaling networks that regulate neurite outgrowth.