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Institution

University of Oviedo

EducationOviedo, 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
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Journal ArticleDOI
01 Mar 1997-Genomics
TL;DR: The AP-1 functional site is functional and responsible for the observed inducibility of the reporter gene by the tumor promoter 12-O-tetradecanoylphorbol-13-acetate (TPA), and no significative synergistic effect on CAT activity between theAP-1 and PEA-3 elements found in the collagenase-3 gene promoter was found.

196 citations

Journal Article
TL;DR: It is proposed that MT6-MMP may facilitate tumor progression through its ability to activate progelatinase A at the membrane of cells from colon carcinomas or brain tumors.
Abstract: The localization of proteolytic enzymes at the cell surface is a widely used strategy for facilitating tumor invasion. In this study, we have cloned a new member of the membrane-type subfamily of matrix metalloproteinases (MT-MMPs), a group of enzymes associated with tumor progression. The cloned cDNA encodes a protein of 562 amino acids with a domain organization similar to that of other MT-MMPs, including a prodomain with a cysteine switch, a catalytic domain with the zinc-binding site, a hemopexin-like domain, and a COOH-terminal extension rich in hydrophobic residues. The predicted protein sequence also contains a short insertion of basic residues located between the propeptide and the catalytic domain and involved in the proteolytic activation of MT-MMPs by furin-like enzymes. Furthermore, immunofluorescence and Western blot analysis of COS-7 cells transfected with the isolated cDNA revealed that the encoded protein is localized at the cell surface. Based on these properties, this novel human matrix metalloproteinase has been called MT6-MMP because it is the sixth identified member of this subfamily of matrix metalloproteinase. Cotransfection of expression plasmids encoding MT6-MMP and progelatinase A resulted in activation of COS-7-secreted progelatinase A, as demonstrated by gelatin zymography. In contrast, transfection of progelatinase A cDNA alone did not lead to the activation of the proenzyme. Northern blot analysis of polyadenylated RNAs isolated from human tissues demonstrated that MT6-MMP is predominantly expressed in leukocytes, lung, and spleen. MT6-MMP was also detected at high levels in SW480 colon carcinoma cells as well as in some anaplastic astrocytomas and glioblastomas, but not in normal colon or brain or in meningiomas. On the basis of these results, we propose that MT6-MMP may facilitate tumor progression through its ability to activate progelatinase A at the membrane of cells from colon carcinomas or brain tumors.

196 citations

Journal ArticleDOI
TL;DR: Some interesting properties of BR are discussed, mainly that it produces optimal models for several ML loss functions, and the use of synthetic datasets to better analyze the behavior of ML methods in domains with different characteristics is proposed.
Abstract: The goal of multilabel (ML) classification is to induce models able to tag objects with the labels that better describe them The main baseline for ML classification is binary relevance (BR), which is commonly criticized in the literature because of its label independence assumption Despite this fact, this paper discusses some interesting properties of BR, mainly that it produces optimal models for several ML loss functions Additionally, we present an analytical study of ML benchmarks datasets and point out some shortcomings As a result, this paper proposes the use of synthetic datasets to better analyze the behavior of ML methods in domains with different characteristics To support this claim, we perform some experiments using synthetic data proving the competitive performance of BR with respect to a more complex method in difficult problems with many labels, a conclusion which was not stated by previous studies

196 citations

Journal ArticleDOI
TL;DR: The consistency of these findings with experimental observations of GSTT1, GSTZ1, and CYP2E1 activity strengthens the hypothesis that DBPs cause bladder cancer and suggests possible mechanisms as well as the classes of compounds likely to be implicated.
Abstract: BackgroundBladder cancer has been linked with long-term exposure to disinfection by-products (DBPs) in drinking water.ObjectivesIn this study we investigated the combined influence of DBP exposure ...

195 citations

Journal ArticleDOI
TL;DR: In this paper, a general algorithm to compute the representation matrix of any point-group symmetry operation in the basis of the real spherical harmonics, paying attention to the use of recurrence relationships that allow the treatment of functions with high angular momenta is presented.
Abstract: Rotation matrices (or Wigner D functions) are the matrix representations of the rotation operators in the basis of spherical harmonics. They are the key entities in the generation of symmetry-adapted functions by means of projection operators. Although their expression in terms of ordinary (complex) spherical harmonics and Euler rotation angles is well known, an alternative representation using real spherical harmonics is desirable. The aim of this contribution is to obtain a general algorithm to compute the representation matrix of any point-group symmetry operation in the basis of the real spherical harmonics, paying attention to the use of recurrence relationships that allow the treatment of functions with high angular momenta.

195 citations


Authors

Showing all 13643 results

NameH-indexPapersCitations
Russel J. Reiter1691646121010
Carlo Rovelli1461502103550
J. González-Nuevo144500108318
German Martinez1411476107887
Roland Horisberger1391471100458
Francisco Herrera139100182976
Javier Cuevas1381689103604
Teresa Rodrigo1381831103601
L. Toffolatti13637695529
Elias Campo13576185160
Gabor Istvan Veres135134996104
Francisco Matorras134142894627
Joe Incandela134154993750
Nikhil C. Munshi13490667349
Luca Scodellaro134174198331
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202396
2022268
20211,825
20201,913
20191,806
20181,721