Institution
National Research University – Higher School of Economics
Education•Moscow, Russia•
About: National Research University – Higher School of Economics is a education organization based out in Moscow, Russia. It is known for research contribution in the topics: Population & Computer science. The organization has 12873 authors who have published 23376 publications receiving 256396 citations.
Papers published on a yearly basis
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TL;DR: This article presented a formal model of government control of the media to illuminate variation in media freedom across countries and over time, and found that media bias is greater and state ownership of media more likely when the government has a particular interest in mobilizing citizens to take actions that further some political objective but are not necessarily in citizens' individual best interest.
179 citations
TL;DR: This mini-review is aimed to provide the state-of-the-art in the EVs-associated RNA transcriptome field, as well as the comprehensive analysis of previous studies characterizing RNA content within EVs released by various cells using next-generation sequencing.
Abstract: Exosomes and microvesicles are two major categories of extracellular vesicles (EVs) released by almost all cell types and are highly abundant in biological fluids. Both the molecular composition of EVs and their release are thought to be strictly regulated by external stimuli. Multiple studies have consistently demonstrated that EVs transfer proteins, lipids and RNA between various cell types, thus mediating intercellular communication, and signaling. Importantly, small non-coding RNAs within EVs are thought to be major contributors to the molecular events occurring in the recipient cell. Furthermore, RNA cargo in exosomes and microvesicles could hold tremendous potential as non-invasive biomarkers for multiple disorders, including pathologies of the immune system. This mini-review is aimed to provide the state-of-the-art in the EVs-associated RNA transcriptome field, as well as the comprehensive analysis of previous studies characterizing RNA content within EVs released by various cells using next-generation sequencing. Finally, we highlight the technical challenges associated with obtaining pure EVs and deep sequencing of the EV-associated RNAs.
179 citations
University of Bordeaux1, University of Helsinki2, Heidelberg University3, University of Basel4, University of Brescia5, University of Cambridge6, Max Planck Society7, University of Münster8, University of Caen Lower Normandy9, University of Virginia10, Pierre-and-Marie-Curie University11, Université libre de Bruxelles12, University of Burgundy13, University of Perugia14, Vita-Salute San Raffaele University15, University of Maryland, Baltimore16, University of Picardie Jules Verne17, University of Franche-Comté18, University of Milan19, University of Lausanne20, University of Utah21, Ashford University22, Russian Academy23, National Research University – Higher School of Economics24, University of Nantes25, Erasmus University Rotterdam26, Autonomous University of Barcelona27, University of Gothenburg28, National Institutes of Health29, University of Rostock30, University of Strasbourg31, German Center for Neurodegenerative Diseases32, Mayo Clinic33, University of Kiel34, McGill University35, Lille University of Science and Technology36, Pasteur Institute37, French Institute of Health and Medical Research38, university of lille39
TL;DR: The rs9349379[G] allele was previously shown to be associated with lower risk of migraine and increased risk of myocardial infarction, and the mechanisms underlying this pleiotropy might provide important information on the biological underpinnings of these disabling conditions.
Abstract: Cervical artery dissection (CeAD), a mural hematoma in a carotid or vertebral artery, is a major cause of ischemic stroke in young adults although relatively uncommon in the general population (incidence of 2.6/100,000 per year). Minor cervical traumas, infection, migraine and hypertension are putative risk factors, and inverse associations with obesity and hypercholesterolemia are described. No confirmed genetic susceptibility factors have been identified using candidate gene approaches. We performed genome-wide association studies (GWAS) in 1,393 CeAD cases and 14,416 controls. The rs9349379[G] allele (PHACTR1) was associated with lower CeAD risk (odds ratio (OR) = 0.75, 95% confidence interval (CI) = 0.69-0.82; P = 4.46 × 10(-10)), with confirmation in independent follow-up samples (659 CeAD cases and 2,648 controls; P = 3.91 × 10(-3); combined P = 1.00 × 10(-11)). The rs9349379[G] allele was previously shown to be associated with lower risk of migraine and increased risk of myocardial infarction. Deciphering the mechanisms underlying this pleiotropy might provide important information on the biological underpinnings of these disabling conditions.
179 citations
University of Geneva1, University Medical Center Groningen2, University of Groningen3, McGovern Institute for Brain Research4, University of Pittsburgh5, University of Graz6, Northeastern University7, Massachusetts Institute of Technology8, University of Macau9, École Polytechnique Fédérale de Lausanne10, University of Texas at Austin11, University of Tübingen12, University of California, Los Angeles13, Boston University14, Maastricht University15, Charité16, Pontifical Catholic University of Chile17, Ottawa University18, University of Zurich19, University of Salzburg20, King's College London21, University of Lisbon22, Technion – Israel Institute of Technology23, University of California, San Diego24, Heidelberg University25, National Research University – Higher School of Economics26, Shanghai Normal University27, University of Bordeaux28, University of Münster29, University of Tennessee30, Duke University31, University of Western Ontario32, University of Würzburg33, University of Oldenburg34, Yale University35, Medical University of Vienna36, University of Sheffield37, University of Toulouse38, Brown University39, Eindhoven University of Technology40, Allen Institute for Brain Science41, Goldsmiths, University of London42, university of lille43, National Autonomous University of Mexico44, University of Otago45, Birkbeck, University of London46, University of Grenoble47, University of Greenwich48, Radboud University Nijmegen49, Aristotle University of Thessaloniki50, University of Surrey51, University of Bristol52
TL;DR: Over 80 neurofeedback researchers present a consensus-derived checklist – CRED-nf – for reporting and experimental design standards in the field.
Abstract: Neurofeedback has begun to attract the attention and scrutiny of the scientific and medical mainstream. Here, neurofeedback researchers present a consensus-derived checklist that aims to improve the reporting and experimental design standards in the field.
176 citations
TL;DR: DEREPLICATOR+ is reported, an algorithm that improves on the previous approaches for identifying peptidic natural products, and extends them for identification of polyketides, terpenes, benzenoids, alkaloids, flavonoids, and other classes of natural products.
Abstract: Natural products have traditionally been rich sources for drug discovery. In order to clear the road toward the discovery of unknown natural products, biologists need dereplication strategies that identify known ones. Here we report DEREPLICATOR+, an algorithm that improves on the previous approaches for identifying peptidic natural products, and extends them for identification of polyketides, terpenes, benzenoids, alkaloids, flavonoids, and other classes of natural products. We show that DEREPLICATOR+ can search all spectra in the recently launched Global Natural Products Social molecular network and identify an order of magnitude more natural products than previous dereplication efforts. We further demonstrate that DEREPLICATOR+ enables cross-validation of genome-mining and peptidogenomics/glycogenomics results.
176 citations
Authors
Showing all 13307 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Rasmus Nielsen | 135 | 556 | 84898 |
| Matthew Jones | 125 | 1161 | 96909 |
| Fedor Ratnikov | 123 | 1104 | 67091 |
| Kenneth J. Arrow | 113 | 411 | 111221 |
| Wil M. P. van der Aalst | 108 | 725 | 42429 |
| Peter Schmidt | 105 | 638 | 61822 |
| Roel Aaij | 98 | 1071 | 44234 |
| John W. Berry | 97 | 351 | 52470 |
| Federico Alessio | 96 | 1054 | 42300 |
| Denis Derkach | 96 | 1184 | 45772 |
| Marco Adinolfi | 95 | 831 | 40777 |
| Michael Alexander | 95 | 881 | 38749 |
| Alexey Boldyrev | 94 | 439 | 32000 |
| Shalom H. Schwartz | 94 | 220 | 67609 |
| Richard Blundell | 93 | 487 | 61730 |