Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Charles E. Vejnar is active.

Publication


Featured researches published by Charles E. Vejnar.


Genes & Development | 2009

Integration of microRNA miR-122 in hepatic circadian gene expression

David Gatfield; Gwendal Le Martelot; Charles E. Vejnar; Daniel Gerlach; Olivier Schaad; Fabienne Fleury-Olela; Anna-Liisa Ruskeepää; Matej Orešič; Christine Esau; Evgeny M. Zdobnov; Ueli Schibler

In liver, most metabolic pathways are under circadian control, and hundreds of protein-encoding genes are thus transcribed in a cyclic fashion. Here we show that rhythmic transcription extends to the locus specifying miR-122, a highly abundant, hepatocyte-specific microRNA. Genetic loss-of-function and gain-of-function experiments have identified the orphan nuclear receptor REV-ERBalpha as the major circadian regulator of mir-122 transcription. Although due to its long half-life mature miR-122 accumulates at nearly constant rates throughout the day, this miRNA is tightly associated with control mechanisms governing circadian gene expression. Thus, the knockdown of miR-122 expression via an antisense oligonucleotide (ASO) strategy resulted in the up- and down-regulation of hundreds of mRNAs, of which a disproportionately high fraction accumulates in a circadian fashion. miR-122 has previously been linked to the regulation of cholesterol and lipid metabolism. The transcripts associated with these pathways indeed show the strongest time point-specific changes upon miR-122 depletion. The identification of Pparbeta/delta and the peroxisome proliferator-activated receptor alpha (PPARalpha) coactivator Smarcd1/Baf60a as novel miR-122 targets suggests an involvement of the circadian metabolic regulators of the PPAR family in miR-122-mediated metabolic control.


Developmental Biology | 2009

Sertoli cell Dicer is essential for spermatogenesis in mice

Marilena D. Papaioannou; Jean-Luc Pitetti; Seungil Ro; Chanjae Park; Florence Aubry; Olivier Schaad; Charles E. Vejnar; Françoise Kühne; Patrick Descombes; Evgeny M. Zdobnov; Michael T. McManus; Florian Guillou; Brian D. Harfe; Wei Yan; Bernard Jégou; Serge Nef

Spermatogenesis requires intact, fully competent Sertoli cells. Here, we investigate the functions of Dicer, an RNaseIII endonuclease required for microRNA and small interfering RNA biogenesis, in mouse Sertoli cell function. We show that selective ablation of Dicer in Sertoli cells leads to infertility due to complete absence of spermatozoa and progressive testicular degeneration. The first morphological alterations appear already at postnatal day 5 and correlate with a severe impairment of the prepubertal spermatogenic wave, due to defective Sertoli cell maturation and incapacity to properly support meiosis and spermiogenesis. Importantly, we find several key genes known to be essential for Sertoli cell function to be significantly down-regulated in neonatal testes lacking Dicer in Sertoli cells. Overall, our results reveal novel essential roles played by the Dicer-dependent pathway in mammalian reproductive function, and thus pave the way for new insights into human infertility.


Nucleic Acids Research | 2012

miRmap: Comprehensive prediction of microRNA target repression strength

Charles E. Vejnar; Evgeny M. Zdobnov

MicroRNAs, or miRNAs, post-transcriptionally repress the expression of protein-coding genes. The human genome encodes over 1000 miRNA genes that collectively target the majority of messenger RNAs (mRNAs). Base pairing of the so-called miRNA ‘seed’ region with mRNAs identifies many thousands of putative targets. Evaluating the strength of the resulting mRNA repression remains challenging, but is essential for a biologically informative ranking of potential miRNA targets. To address these challenges, predictors may use thermodynamic, evolutionary, probabilistic or sequence-based features. We developed an open-source software library, miRmap, which for the first time comprehensively covers all four approaches using 11 predictor features, 3 of which are novel. This allowed us to examine feature correlations and to compare their predictive power in an unbiased way using high-throughput experimental data from immunopurification, transcriptomics, proteomics and polysome fractionation experiments. Overall, target site accessibility appears to be the most predictive feature. Our novel feature based on PhyloP, which evaluates the significance of negative selection, is the best performing predictor in the evolutionary category. We combined all the features into an integrated model that almost doubles the predictive power of TargetScan. miRmap is freely available from http://cegg.unige.ch/mirmap.


Molecular & Cellular Proteomics | 2011

Loss of Dicer in Sertoli Cells Has a Major Impact on the Testicular Proteome of Mice

Marilena D. Papaioannou; Mélanie Lagarrigue; Charles E. Vejnar; Antoine Rolland; Françoise Kühne; Florence Aubry; Olivier Schaad; Alexandre Fort; Patrick Descombes; Marguerite Neerman-Arbez; Florian Guillou; Evgeny M. Zdobnov; Charles Pineau; Serge Nef

Sertoli cells (SCs) are the central, essential coordinators of spermatogenesis, without which germ cell development cannot occur. We previously showed that Dicer, an RNaseIII endonuclease required for microRNA (miRNA) biogenesis, is absolutely essential for Sertoli cells to mature, survive, and ultimately sustain germ cell development. Here, using isotope-coded protein labeling, a technique for protein relative quantification by mass spectrometry, we investigated the impact of Sertoli cell-Dicer and subsequent miRNA loss on the testicular proteome. We found that, a large proportion of proteins (50 out of 130) are up-regulated by more that 1.3-fold in testes lacking Sertoli cell-Dicer, yet that this protein up-regulation is mild, never exceeding a 2-fold change, and is not preceeded by alterations of the corresponding mRNAs. Of note, the expression levels of six proteins of interest were further validated using the Absolute Quantification (AQUA) peptide technology. Furthermore, through 3′UTR luciferase assays we identified one up-regulated protein, SOD-1, a Cu/Zn superoxide dismutase whose overexpression has been linked to enhanced cell death through apoptosis, as a likely direct target of three Sertoli cell-expressed miRNAs, miR-125a-3p, miR-872 and miR-24. Altogether, our study, which is one of the few in vivo analyses of miRNA effects on protein output, suggests that, at least in our system, miRNAs play a significant role in translation control.


Nucleic Acids Research | 2009

miROrtho: computational survey of microRNA genes

Daniel Gerlach; Evgenia V. Kriventseva; Nazim Rahman; Charles E. Vejnar; Evgeny M. Zdobnov

MicroRNAs (miRNAs) are short, non-protein coding RNAs that direct the widespread phenomenon of post-transcriptional regulation of metazoan genes. The mature ∼22-nt long RNA molecules are processed from genome-encoded stem-loop structured precursor genes. Hundreds of such genes have been experimentally validated in vertebrate genomes, yet their discovery remains challenging, and substantially higher numbers have been estimated. The miROrtho database (http://cegg.unige.ch/mirortho) presents the results of a comprehensive computational survey of miRNA gene candidates across the majority of sequenced metazoan genomes. We designed and applied a three-tier analysis pipeline: (i) an SVM-based ab initio screen for potent hairpins, plus homologs of known miRNAs, (ii) an orthology delineation procedure and (iii) an SVM-based classifier of the ortholog multiple sequence alignments. The web interface provides direct access to putative miRNA annotations, ortholog multiple alignments, RNA secondary structure conservation, and sequence data. The miROrtho data are conceptually complementary to the miRBase catalog of experimentally verified miRNA sequences, providing a consistent comparative genomics perspective as well as identifying many novel miRNA genes with strong evolutionary support.


Nucleic Acids Research | 2013

miRmap web: comprehensive microRNA target prediction online

Charles E. Vejnar; Matthias Blum; Evgeny M. Zdobnov

MicroRNAs (miRNAs) posttranscriptionally repress the expression of protein-coding genes. Based on the partial complementarity between miRNA and messenger RNA pairs with a mandatory so-called ‘seed’ sequence, many thousands of potential targets can be identified. Our open-source software library, miRmap, ranks these potential targets with a biologically meaningful criterion, the repression strength. MiRmap combines thermodynamic, evolutionary, probabilistic and sequence-based features, which cover features from TargetScan, PITA, PACMIT and miRanda. Our miRmap web application offers a user-friendly and feature-rich resource for browsing precomputed miRNA target predictions for model organisms, as well as for predicting and ranking targets for user-submitted sequences. MiRmap web integrates sorting, filtering and exporting of results from multiple queries, as well as providing programmatic access, and is available at http://mirmap.ezlab.org.


Journal of Immunology | 2014

Repression of Arginase-2 Expression in Dendritic Cells by MicroRNA-155 Is Critical for Promoting T Cell Proliferation

Isabelle Dunand-Sauthier; Magali Irla; Stephanie Carnesecchi; Queralt Seguín-Estévez; Charles E. Vejnar; Evgeny M. Zdobnov; Marie-Laure Santiago-Raber; Walter Reith

Arginine, a semiessential amino acid implicated in diverse cellular processes, is a substrate for two arginases—Arg1 and Arg2—having different expression patterns and functions. Although appropriately regulated Arg1 expression is critical for immune responses, this has not been documented for Arg2. We show that Arg2 is the dominant enzyme in dendritic cells (DCs) and is repressed by microRNA-155 (miR155) during their maturation. miR155 is known to be strongly induced in various mouse and human DC subsets in response to diverse maturation signals, and miR155-deficient DCs exhibit an impaired ability to induce Ag-specific T cell responses. By means of expression profiling studies, we identified Arg2 mRNA as a novel miR155 target in mouse DCs. Abnormally elevated levels of Arg2 expression and activity were observed in activated miR155-deficient DCs. Conversely, overexpression of miR155 inhibited Arg2 expression. Bioinformatic and functional analyses confirmed that Arg2 mRNA is a direct target of miR155. Finally, in vitro and in vivo functional assays using DCs exhibiting deregulated Arg2 expression indicated that Arg2-mediated arginine depletion in the extracellular milieu impairs T cell proliferation. These results indicate that miR155-induced repression of Arg2 expression is critical for the ability of DCs to drive T cell activation by controlling arginine availability in the extracellular environment.


Blood | 2011

Silencing of c-Fos expression by microRNA-155 is critical for dendritic cell maturation and function

Isabelle Dunand-Sauthier; Marie-Laure Santiago-Raber; Leonardo Capponi; Charles E. Vejnar; Olivier Schaad; Magali Irla; Queralt Seguín-Estévez; Patrick Descombes; Evgeny M. Zdobnov; Hans Acha-Orbea; Walter Reith


Archive | 2013

cell maturation and function Silencing of c-Fos expression by microRNA-155 is critical for dendritic

Walter Reith; Olivier Schaad; Magali Irla; Queralt Seguín-Estévez; Patrick Descombes; Evgeny M. Zdobnov; Marie-Laure Santiago-Raber; Leonardo Capponi; Charles E. Vejnar


Immunology | 2012

Dampening of arginase 2 expression by microRNA-155 is critical for dendritic cell function

Evgeny M. Zdobnov; Isabelle Dunand-Sauthier; Marie-Laure Santiago-Raber; Stéphanie Carnesecchi-Acker; Charles E. Vejnar; Maria Queralt Seguin Estévez; Magali Irla; Walter Reith

Collaboration


Dive into the Charles E. Vejnar's collaboration.

Top Co-Authors

Avatar

Evgeny M. Zdobnov

Swiss Institute of Bioinformatics

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge