Combining in silico prediction and ribosome profiling in a genome-wide search for novel putatively coding sORFs

Background: It was long assumed that proteins are at least 100 amino acids (AAs) long. Moreover, the detection of short translation products (e. g. coded from small Open Reading Frames, sORFs) is very difficult as the short length makes it hard to distinguish true coding ORFs from ORFs occurring by chance. Nevertheless, over the past few years many such non-canonical genes (with ORFs < 100 AAs) have been discovered in different organisms like Arabidopsis thaliana, Saccharomyces cerevisiae, and Drosophila melanogaster. Thanks to advances in sequencing, bioinformatics and computing power, it is now possible to scan the genome in unprecedented scrutiny, for example in a search of this type of small ORFs. Results: Using bioinformatics methods, we performed a systematic search for putatively functional sORFs in the Mus musculus genome. A genome-wide scan detected all sORFs which were subsequently analyzed for their coding potential, based on evolutionary conservation at the AA level, and ranked using a Support Vector Machine (SVM) learning model. The ranked sORFs are finally overlapped with ribosome profiling data, hinting to sORF translation. All candidates are visually inspected using an in-house developed genome browser. In this way dozens of highly conserved sORFs, targeted by ribosomes were identified in the mouse genome, putatively encoding micropeptides. Conclusion: Our combined genome-wide approach leads to the prediction of a comprehensive but manageable set of putatively coding sORFs, a very important first step towards the identification of a new class of bioactive peptides, called micropeptides

MicroRNAs in the stressed heart: Sorting the signal from the noise

The short noncoding RNAs, known as microRNAs, are of undisputed importance in cellular signaling during differentiation and development, and during adaptive and maladaptive responses of adult tissues, including those that comprise the heart. Cardiac microRNAs are regulated by hemodynamic overload resulting from exercise or hypertension, in the response of surviving myocardium to myocardial infarction, and in response to environmental or systemic disruptions to homeostasis, such as those arising from diabetes. A large body of work has explored microRNA responses in both physiological and pathological contexts but there is still much to learn about their integrated actions on individual mRNAs and signaling pathways. This review will highlight key studies of microRNA regulation in cardiac stress and suggest possible approaches for more precise identification of microRNA targets, with a view to exploiting the resulting data for therapeutic purposes

Coordination of gene expression programs

Most cellular processes depend on the activity and interactions of proteins. The proteome, i.e. the entire set of proteins in a specific condition, is shaped by regulation of transcription, mRNA-degradation, -processing, -storage, -translation and protein degradation. Cancer cells are known to highjack gene expression processes, including the translation machinery, for their growth and survival. This occurs as a result of converging oncogenic signaling pathways which impinge on translation factors to selectively modulate synthesis of cancer-related proteins. Our understanding of mechanisms by which oncogenic pathways dynamically control their targets' translational activity is limited and could be extended by transcriptome-wide studies of changes in translation efficiency. In Paper I, we developed anota2seq which allows for statistical analysis of such data. Using a simulation approach, we showed that anota2seq constitutes an improvement compared to other methods for identification of genes under translational regulation. The relative contribution of transcriptional and translational regulation to proteome modulation has been extensively debated. This raises the interest in studies integrating data on multiple levels of gene expression regulation. In Paper II, we study the role of estrogen receptor alpha (ERα), a transcription factor that is commonly targeted in hormone-dependent cancers, in coordinating transcriptional alterations with control at the level of translation. Upon ERα depletion in a prostate cancer model, we observed massive translational offsetting whereby the translational output remains unchanged despite changes in mRNA levels. To characterize mechanisms underlying translational offsetting, we extended the scope of the anota2seq method (Paper I) to also identify genes regulated by this underappreciated mode of gene expression regulation. Next, our detailed mechanistic study revealed that upon ERα depletion, mRNAs whose levels are reduced but translationally offset have less structured 5'UTRs and are devoid of miRNA target sites and thus cannot be influenced by such translational repressors. In contrast, transcripts which were upregulated but offset at the level of translation are enriched in codons requiring U34-modified tRNAs for their translation. We finally demonstrated that ERα impacts the levels of such modified tRNAs. Cancer is a highly heterogeneous disease. In our studies of translational control, we are reaching the limits of reasonable inference when extending conclusions from experiments in cell lines into clinical settings. However, experimental methods to quantify translatomes such as polysome-profiling, are not suitable for samples with low RNA input such as tissue samples from cancer patients. Paper III presents an optimization of the polysome-profiling method, compares it with the classical approach and validates that this new approach is suitable to study novel mechanisms regulating mRNA translation in large collections of tissue samples

Uncovering memory-related gene expression in contextual fear conditioning using ribosome profiling

Contextual fear conditioning (CFC) in rodents is the most widely used behavioural paradigm in neuroscience research to elucidate the neurobiological mechanisms underlying learning and memory. It is based on the pairing of an aversive unconditioned stimulus (US; e.g. mild footshock) with a neutral conditioned stimulus (CS; e.g. context of the test chamber) in order to acquire associative long-term memory (LTM), which persists for days and even months. Using genome-wide analysis, several studies have generated lists of genes modulated in response to CFC in an attempt to identify the "memory genes", which orchestrate memory formation. Yet, most studies use naïve animals as a baseline for assessing gene-expression changes, while only few studies have examined the effect of the US alone, without pairing to context, using genome-wide analysis of gene-expression. Herein, using the ribosome profiling methodology, we show that in male mice an immediate shock, which does not lead to LTM formation, elicits pervasive translational and transcriptional changes in the expression of Immediate Early Genes (IEGs) in dorsal hippocampus (such as Fos and Arc), a fact which has been disregarded by the majority of CFC studies. By removing the effect of the immediate shock, we identify and validate a new set of genes, which are translationally and transcriptionally responsive to the association of context-to-footshock in CFC, and thus constitute salient "memory genes"

Hydrogen peroxide is a neuronal alarmin that triggers specific RNAs, local translation of Annexin A2, and cytoskeletal remodeling in Schwann cells

Schwann cells are key players in neuro-regeneration: They sense "alarm" signals released by degenerating nerve terminals and differentiate toward a proregenerative phenotype, with phagocytosis of nerve debris and nerve guidance. At the murine neuromuscular junction, hydrogen peroxide (H2O2) is a key signal of Schwann cells' activation in response to a variety of nerve injuries. Here we report that Schwann cells exposed to low doses of H2O2 rewire the expression of several RNAs at both transcriptional and translational levels. Among the genes positively regulated at both levels, we identified an enriched cluster involved in cytoskeleton remodeling and cell migration, with the Annexin (Anxa) proteins being the most represented family. We show that both Annexin A2 (Anxa2) transcript and protein accumulate at the tips of long pseudopods that Schwann cells extend upon H2O2 exposure. Interestingly, Schwann cells reply to this signal and to nerve injury by locally translating Anxa2 in pseudopods, and undergo an extensive cytoskeleton remodeling. Our results show that, similarly to neurons, Schwann cells take advantage of local protein synthesis to change shape and move toward damaged axonal terminals to facilitate axonal regeneration

The how and why of lncRNA function: An innate immune perspective.

Next-generation sequencing has provided a more complete picture of the composition of the human transcriptome indicating that much of the "blueprint" is a vastness of poorly understood non-protein-coding transcripts. This includes a newly identified class of genes called long noncoding RNAs (lncRNAs). The lack of sequence conservation for lncRNAs across species meant that their biological importance was initially met with some skepticism. LncRNAs mediate their functions through interactions with proteins, RNA, DNA, or a combination of these. Their functions can often be dictated by their localization, sequence, and/or secondary structure. Here we provide a review of the approaches typically adopted to study the complexity of these genes with an emphasis on recent discoveries within the innate immune field. Finally, we discuss the challenges, as well as the emergence of new technologies that will continue to move this field forward and provide greater insight into the biological importance of this class of genes. This article is part of a Special Issue entitled: ncRNA in control of gene expression edited by Kotb Abdelmohsen