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Institution

University of Valencia

EducationValencia, 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.


Papers
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Journal ArticleDOI
Olle Terenius1, Alexie Papanicolaou2, Alexie Papanicolaou3, Jennie S. Garbutt4, Ioannis Eleftherianos5, Hanneke Huvenne6, Sriramana Kanginakudru7, Merete Albrechtsen8, Chunju An9, Jean Luc Aymeric10, Andrea Barthel11, Piotr Bebas12, Kavita Bitra13, Alejandra Bravo14, François Chevalier10, Derek Collinge3, Derek Collinge15, Cristina M. Crava16, Ruud A. de Maagd17, Bernard Duvic10, Martin A. Erlandson18, Martin A. Erlandson19, Ingrid Faye20, G Felfoldi21, Haruhiko Fujiwara22, Ryo Futahashi23, Ryo Futahashi22, Archana S. Gandhe7, H.S. Gatehouse24, L. N. Gatehouse24, Jadwiga M. Giebultowicz25, Isabel Gómez14, Cornelis J. P. Grimmelikhuijzen8, Astrid T. Groot11, Frank Hauser8, David G. Heckel11, Dwayne D. Hegedus18, Dwayne D. Hegedus19, Steven Hrycaj2, Lihua Huang3, J. Joe Hull26, Kostas Iatrou6, Masatoshi Iga6, Michael R. Kanost9, Joanna Kotwica12, Changyou Li3, Jianghong Li3, Jisheng Liu6, Magnus Lundmark8, Shogo Matsumoto4, Martina Meyering-Vos7, Peter J. Millichap4, Antónia Monteiro8, Nirotpal Mrinal7, Teruyuki Niimi9, Daniela Nowara8, Atsushi Ohnishi4, Vicencio Oostra27, Katsuhisa Ozaki, Maria P. Papakonstantinou6, Aleksandar Popadic2, Manchikatla Venkat Rajam12, Suzanne V. Saenko27, Robert M. Simpson24, Mario Soberón14, Michael R. Strand13, Shuichiro Tomita13, Umut Toprak18, Ping Wang3, Choon Wei Wee15, Steven Whyard28, Wenqing Zhang17, Javaregowda Nagaraju7, Richard H. ffrench-Constant2, Salvador Herrero16, Salvador Herrero17, Karl H.J. Gordon3, Luc Swevers6, Guy Smagghe6 
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

Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
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

NameH-indexPapersCitations
H. S. Chen1792401178529
Alvaro Pascual-Leone16596998251
Sabino Matarrese155775123278
Subir Sarkar1491542144614
Carlos Escobar148118495346
Marco Costa1461458105096
Carmen García139150396925
Javier Cuevas1381689103604
M. I. Martínez134125179885
Marco Aurelio Diaz134101593580
Avelino Corma134104989095
Kevin Lannon133165295436
Marina Cobal132107885437
Mogens Dam131110983717
Marcel Vos13199385194
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20251
2023140
2022487
20214,747
20204,696
20193,996