Institution
University of Valencia
Education•Valencia, Spain•
About: University of Valencia is a education organization based out in Valencia, Spain. It is known for research contribution in the topics: Population & Context (language use). The organization has 27096 authors who have published 65669 publications receiving 1765689 citations. The organization is also known as: Universitat de València & UV.
Topics: Population, Context (language use), Neutrino, Medicine, Catalysis
Papers published on a yearly basis
Papers
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Swedish University of Agricultural Sciences1, University of Exeter2, Commonwealth Scientific and Industrial Research Organisation3, University of Bath4, George Washington University5, Ghent University6, Centre for DNA Fingerprinting and Diagnostics7, University of Copenhagen8, Kansas State University9, University of Montpellier10, Max Planck Society11, University of Warsaw12, University of Georgia13, National Autonomous University of Mexico14, Australian National University15, University of Valencia16, Wageningen University and Research Centre17, University of Saskatchewan18, Agriculture and Agri-Food Canada19, Stockholm University20, Eötvös Loránd University21, University of Tokyo22, National Institute of Advanced Industrial Science and Technology23, Plant & Food Research24, Oregon State University25, Agricultural Research Service26, Leiden University27, University of Manitoba28
TL;DR: Despite a large variation in the data, trends that are found are that RNAi is particularly successful in the family Saturniidae and in genes involved in immunity and that gene expression in epidermal tissues seems to be most difficult to silence.
698 citations
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TL;DR: Through the use of highly optimised, in-memory data structures and algorithms, Reactome has achieved a stable, high performance pathway analysis service, enabling the analysis of genome-wide datasets within seconds, allowing interactive exploration and analysis of high throughput data.
Abstract: Reactome aims to provide bioinformatics tools for visualisation, interpretation and analysis of pathway knowledge to support basic research, genome analysis, modelling, systems biology and education. Pathway analysis methods have a broad range of applications in physiological and biomedical research; one of the main problems, from the analysis methods performance point of view, is the constantly increasing size of the data samples. Here, we present a new high-performance in-memory implementation of the well-established over-representation analysis method. To achieve the target, the over-representation analysis method is divided in four different steps and, for each of them, specific data structures are used to improve performance and minimise the memory footprint. The first step, finding out whether an identifier in the user’s sample corresponds to an entity in Reactome, is addressed using a radix tree as a lookup table. The second step, modelling the proteins, chemicals, their orthologous in other species and their composition in complexes and sets, is addressed with a graph. The third and fourth steps, that aggregate the results and calculate the statistics, are solved with a double-linked tree. Through the use of highly optimised, in-memory data structures and algorithms, Reactome has achieved a stable, high performance pathway analysis service, enabling the analysis of genome-wide datasets within seconds, allowing interactive exploration and analysis of high throughput data. The proposed pathway analysis approach is available in the Reactome production web site either via the AnalysisService for programmatic access or the user submission interface integrated into the PathwayBrowser. Reactome is an open data and open source project and all of its source code, including the one described here, is available in the AnalysisTools repository in the Reactome GitHub (
https://github.com/reactome/
).
694 citations
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TL;DR: In persons with type 1 diabetes, an increase in systolic blood pressure during sleep precedes the development of microalbuminuria, and in those whose blood Pressure during sleep decreases normally, the progression from normal albumin excretion to micro albuminuria appears to be less likely.
Abstract: Background Patients with type 1 diabetes mellitus and microalbuminuria often have elevated blood pressure while they are asleep, but it is not known whether the elevation develops concomitantly with microalbuminuria or precedes it. Methods We monitored 75 adolescents and young adults who had had type 1 diabetes with normal urinary albumin excretion and blood pressure for more than five years. Ambulatory blood-pressure monitoring was used to assess blood pressure at the initial evaluation and about two years later, at which time all subjects had normal urinary albumin excretion. Subsequently, subjects were monitored for the development of microalbuminuria. Results Microalbuminuria developed in 14 subjects, whereas the other 61 continued to have normal urinary albumin excretion. The mean (±SD) systolic pressure during sleep increased significantly in the subjects who ultimately had microalbuminuria (from 109.9±11.3 to 114.9±11.7 mm Hg, P=0.01) but not in the subjects with normal albumin excretion (from 106....
694 citations
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TL;DR: Evidence is reported that, after a stroke, subventricular zone GFAP-expressing cells are capable of producing new neurons outside the olfactory bulbs, and long-term tracing of the green fluorescent-labeled cells revealed that the SVZ-derived neuroblasts differentiated into mature neurons in the striatum, in which they expressed neuronal-specific nuclear protein and formed synapses with neighboring striatal cells.
Abstract: Recent studies have revealed that the adult mammalian brain has the capacity to regenerate some neurons after various insults. However, the precise mechanism of insult-induced neurogenesis has not been demonstrated. In the normal brain, GFAP-expressing cells in the subventricular zone (SVZ) of the lateral ventricles include a neurogenic cell population that gives rise to olfactory bulb neurons only. Herein, we report evidence that, after a stroke, these cells are capable of producing new neurons outside the olfactory bulbs. SVZ GFAP-expressing cells labeled by a cell-type-specific viral infection method were found to generate neuroblasts that migrated toward the injured striatum after middle cerebral artery occlusion. These neuroblasts in the striatum formed elongated chain-like cell aggregates similar to those in the normal SVZ, and these chains were observed to be closely associated with thin astrocytic processes and blood vessels. Finally, long-term tracing of the green fluorescent-labeled cells with a Cre-loxP system revealed that the SVZ-derived neuroblasts differentiated into mature neurons in the striatum, in which they expressed neuronal-specific nuclear protein and formed synapses with neighboring striatal cells. These results highlight the role of the SVZ in neuronal regeneration after a stroke and its potential as an important therapeutic target for various neurological disorders.
690 citations
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TL;DR: The results indicate that milk bacteria are not contaminants and suggest that the milk microbiome is influenced by several factors that significantly skew its composition, which emphasize the necessity to understand the biological role that the Milk microbiome could potentially play for human health.
687 citations
Authors
Showing all 27402 results
Name | H-index | Papers | Citations |
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H. S. Chen | 179 | 2401 | 178529 |
Alvaro Pascual-Leone | 165 | 969 | 98251 |
Sabino Matarrese | 155 | 775 | 123278 |
Subir Sarkar | 149 | 1542 | 144614 |
Carlos Escobar | 148 | 1184 | 95346 |
Marco Costa | 146 | 1458 | 105096 |
Carmen García | 139 | 1503 | 96925 |
Javier Cuevas | 138 | 1689 | 103604 |
M. I. Martínez | 134 | 1251 | 79885 |
Marco Aurelio Diaz | 134 | 1015 | 93580 |
Avelino Corma | 134 | 1049 | 89095 |
Kevin Lannon | 133 | 1652 | 95436 |
Marina Cobal | 132 | 1078 | 85437 |
Mogens Dam | 131 | 1109 | 83717 |
Marcel Vos | 131 | 993 | 85194 |