Institution
University of Oviedo
Education•Oviedo, Spain•
About: University of Oviedo is a education organization based out in Oviedo, Spain. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 13423 authors who have published 31649 publications receiving 844799 citations. The organization is also known as: Universidá d'Uviéu & Universidad de Oviedo.
Papers published on a yearly basis
Papers
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TL;DR: A progeroid syndrome that partially phenocopies Hutchinson-Gilford progeria syndrome but also exhibits distinctive features, including the absence of cardiovascular deficiencies characteristic of HGPS, the lack of mutations in LMNA and ZMPSTE24, and a relatively long lifespan of affected individuals is described.
Abstract: Accelerated aging syndromes represent a valuable source of information about the molecular mechanisms involved in normal aging. Here, we describe a progeroid syndrome that partially phenocopies Hutchinson-Gilford progeria syndrome (HGPS) but also exhibits distinctive features, including the absence of cardiovascular deficiencies characteristic of HGPS, the lack of mutations in LMNA and ZMPSTE24, and a relatively long lifespan of affected individuals. Exome sequencing and molecular analysis in two unrelated families allowed us to identify a homozygous mutation in BANF1 (c.34G>A [p.Ala12Thr]), encoding barrier-to-autointegration factor 1 (BAF), as the molecular abnormality responsible for this Mendelian disorder. Functional analysis showed that fibroblasts from both patients have a dramatic reduction in BAF protein levels, indicating that the p.Ala12Thr mutation impairs protein stability. Furthermore, progeroid fibroblasts display profound abnormalities in the nuclear lamina, including blebs and abnormal distribution of emerin, an interaction partner of BAF. These nuclear abnormalities are rescued by ectopic expression of wild-type BANF1, providing evidence for the causal role of this mutation. These data demonstrate the utility of exome sequencing for identifying the cause of rare Mendelian disorders and underscore the importance of nuclear envelope alterations in human aging.
184 citations
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TL;DR: Results show that, while online participation is mainly associated with internet-related skills, there is a significant gender gap and the unemployed tend to engage socially and politically online more than the rest of the population.
184 citations
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University of Chile1, Linköping University2, VU University Amsterdam3, University of Bari4, Rutgers University5, University of Oviedo6, Sapienza University of Rome7, University of Paderborn8, Rensselaer Polytechnic Institute9, University of Milano-Bicocca10, University of Stuttgart11, University of Southampton12, Mines ParisTech13
TL;DR: In this paper, the authors provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that require exploiting diverse, dynamic, large-scale collections of data.
Abstract: In this article, we provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that require exploiting diverse, dynamic, large-scale collections of data. After some opening remarks, we motivate and contrast various graph-based data models, as well as languages used to query and validate knowledge graphs. We explain how knowledge can be represented and extracted using a combination of deductive and inductive techniques. We conclude with high-level future research directions for knowledge graphs.
184 citations
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TL;DR: The SPQ-B was validated as a screening self-report of rapid and efficient application for the detection of adolescents vulnerable to the development of schizophrenia-spectrum disorders in the general population, in genetically high-risk samples and in clinical studies.
184 citations
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TL;DR: Concanavalin A treatment of SW1353 cells increased the amount of membrane-type-1 matrix metalloproteinase protein in the cell membranes, suggesting that this membrane-bound enzyme participates in an activation cascade involving collagenase 3 and the gelatinases.
Abstract: SW1353 chondrosarcoma cells cultured in the presence of interleukin-1, concanavalin A or PMA secreted procollagenase 3 (matrix metalloproteinase-13). The enzyme was detected in the culture medium by Western blotting using a specific polyclonal antibody raised against recombinant human procollagenase 3. Oncostatin M enhanced the interleukin-1-induced production of procollagenase 3, whereas interleukin-4 decreased procollagenase 3 synthesis. The enzyme was latent except when the cells had been treated with concanavalin A, when a processed form of 48 kDa, which corresponds to the active form, was found in the culture medium and collagenolytic activity was detected by degradation of 14C-labelled type I collagen. The concanavalin A-induced activation of procollagenase 3 coincided with the processing of progelatinase A (matrix metalloproteinase-2) by the cells, as measured by gelatin zymography. In addition, progelatinase B (matrix metalloproteinase-9) was activated when gelatinase A and collagenase 3 were in their active forms. Concanavalin A treatment of SW1353 cells increased the amount of membrane-type-1 matrix metalloproteinase protein in the cell membranes, suggesting that this membrane-bound enzyme participates in an activation cascade involving collagenase 3 and the gelatinases. This cascade was effectively inhibited by tissue inhibitors of metalloproteinases-2 and -3. Tissue inhibitor of metalloproteinases-1, which is a much weaker inhibitor of membrane-type 1 matrix metalloproteinase than tissue inhibitors of metalloproteinases-2 and -3 [Will, Atkinson, Butler, Smith and Murphy (1996) J. Biol. Chem. 271, 17119-17123], was a weaker inhibitor of the activation cascade.
183 citations
Authors
Showing all 13643 results
Name | H-index | Papers | Citations |
---|---|---|---|
Russel J. Reiter | 169 | 1646 | 121010 |
Carlo Rovelli | 146 | 1502 | 103550 |
J. González-Nuevo | 144 | 500 | 108318 |
German Martinez | 141 | 1476 | 107887 |
Roland Horisberger | 139 | 1471 | 100458 |
Francisco Herrera | 139 | 1001 | 82976 |
Javier Cuevas | 138 | 1689 | 103604 |
Teresa Rodrigo | 138 | 1831 | 103601 |
L. Toffolatti | 136 | 376 | 95529 |
Elias Campo | 135 | 761 | 85160 |
Gabor Istvan Veres | 135 | 1349 | 96104 |
Francisco Matorras | 134 | 1428 | 94627 |
Joe Incandela | 134 | 1549 | 93750 |
Nikhil C. Munshi | 134 | 906 | 67349 |
Luca Scodellaro | 134 | 1741 | 98331 |