Resultados totales (Incluyendo duplicados): 34368
Encontrada(s) 3437 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280146
Dataset. 2022

PROTEOME DIFFERENCES IN CARDIOMYOCYTES FROM HCOX-2-TG MICE

  • Casado, Marta
[Methods] Peptides and proteins from cardiomyocytes were trypsin-digested using the whole proteome in-gel digestion protocol, followed by 18O labeling as previously described (Bonzon-Kulichenko, E. et al Mol. Cell. Proteomics 2011, 10, M110 003335, doi:10.1074/mcp.M110.003335). The peptide pools were separated in 24 fractions ranging from pH 3-10 by IEF on a 3100 OFFGel fractionator (Agilent, Santa Clara, CA, USA) using the standard methods for peptides recommended by the manufacturer. The recovered fractions were desalted using OMIX C18 tips (Varian, Inc, Agilent, USA), and dried down before reverse phase-high performance liquid chromatography (RP-HPLC)-LIT analysis using a Surveyor LC System coupled to a linear ion trap mass spectrometer LTQ (Thermo Fisher Scientific, Waltham, MA USA). The LTQ was operated in a data-dependent ZoomScan and MS/MS switching mode as previously described (Lopez-Ferrer, D. et al. Proteomics 2006, 6 Suppl 1, S4-11, doi:10.1002/pmic.200500375). Protein identification was done using SEQUEST algorithm (Bioworks 3.2 package, Thermo Fisher Scientific). MS/MS raw files were searched against a Rat/Mouse Swissprot database supplemented with the sequence of bovine and porcine trypsin. SEQUEST results were analyzed using the probability ratio method (Martinez-Bartolome, S et al. Mol. Cell. Proteomics 2008, 7, 1135–1145, doi:10.1074/mcp.M700239-MCP200) and discovery rates (FDR) of peptide identifications were calculated as previously described ((Navarro, P. et al. J Proteome Res 2009, 8, 1792–1796, doi:10.1021/pr800362h). Peptide identification and quantification were done as previously described (Bonzon-Kulichenko, E. et al Mol. Cell. Proteomics 2011, 10, M110 003335, doi:10.1074/mcp.M110.003335; Navarro, P.; et al. J Proteome Res 2014, 13, 1234–1247, doi:10.1021/pr4006958). Statistical significance of protein abundance changes was assayed by controling the FDR, being a FDR less than 0.05 considered to be significant. Threshold-free analysis of coordinated protein responses was performed using the SBT model, as described (García-Marqués, F. et al. Mol. Cell. Proteomics 2016, 15, 1740–1760, doi:10.1074/mcp.M115.055905)., The biochemical mechanisms of cell injury and myocardial cell death after myocardial infarction remain unresolved. Cyclooxygenase 2 (COX-2), a key enzyme in prostanoid synthesis, is expressed in human ischemic myocardium and dilated cardiomyopathy, but it is absent in healthy hearts. To assess the role of COX-2 in cardiovascular physiopathology, we developed transgenic mice, thatconstitutively express functional human COX-2 in cardiomyocytes under the control of the α-myosin heavy chain promoter. These animals had no an apparent phenotype, but were protected against ischemia-reperfusion injury in isolated hearts, with an enhanced functional recovery and diminished cellular necrosis. To further explore the phenotype of this animal model, we carried out a differential proteome analysis of wild-type vs. transgenic cardiomyocytes. Here we include the results of this proteomic study with the list of identified proteins and their quantification, Ministerio de Economia y Competitividad (SAF2013-43713-R) and Generalitat Valenciana (ACOMP/2011/120), No

DOI: http://hdl.handle.net/10261/280146, https://doi.org/10.20350/digitalCSIC/14752
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280146
HANDLE: http://hdl.handle.net/10261/280146, https://doi.org/10.20350/digitalCSIC/14752
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280146
PMID: http://hdl.handle.net/10261/280146, https://doi.org/10.20350/digitalCSIC/14752
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280146
Ver en: http://hdl.handle.net/10261/280146, https://doi.org/10.20350/digitalCSIC/14752
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280146

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280137
Dataset. 2000

MANUAL PARA RECOGIDA DE MUESTRAS DE SUELO EN LAS PARCELAS DE LA RED ESPAÑOLA DE NII DEL PROGRAMA ICP-FORESTS

  • López Arias, M.
En este manual se describe el procedimiento utilizado en el muestreo de suelos de las parcelas de la Red Española de NIVELII del programa ICP-Forests. Estas parcelas forman parte de la Red de Seguimiento Intensivo (Nivel II) del Programa de Cooperación internacional para la evaluación y seguimiento de los efectos de la contaminación atmosférica en los bosques (ICP Forests). En ella se establecieron a principio de los años 90 más de 860 parcelas de observación de los ecosistemas forestales más importantes de Europa. España contribuyó con 53 parcelas de seguimiento permanente repartidas por toda su geografía. La Red iniciada en España en 1993 está conformada por 53 parcelas localizadas en ecosistemas forestales representativos de nuestro país. El objetivo del muestreo inicial (1993-96) fue la caracterización físico-química y edáfica del suelo sobre el que se desarrolla la masa forestal, como punto de partida para la monitorización de los cambios temporales en sus propiedades., Convenio ICONA-INIA para prestar apoyo científico, experimental y metodológico a la creación y seguimiento de una Red de estaciones permanentes para evaluar el estado de vigor y conservación de nuestras masas forestales, mediante la vigilancia intensiva y continua de los daños ocasionados entre otros por la contaminación atmosférica (1993-97)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/280137
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280137
HANDLE: http://hdl.handle.net/10261/280137
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280137
PMID: http://hdl.handle.net/10261/280137
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280137
Ver en: http://hdl.handle.net/10261/280137
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280137

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280147
Dataset. 2018

FOTOTECA FORESTAL ESPAÑOLA

SPANISH FORESTRY PHOTO LIBRARY

  • Ruiz-Peinado, Ricardo
  • Montero, Gregorio
  • Vallejo Bombín, Roberto
Una buena fotografía representa un trozo de la Naturaleza tal como estaba en el momento de ser tomada, en este caso constituye un documento científico, que conserva indefinidamente su valor, y cuya contemplación y análisis serán siempre convenientes cualquiera que sean las interpretaciones que puedan hacerse, cuando se observe ese trozo de una realidad pasada., Fototeca Forestal Española. Ministerio de Medio Ambiente., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/280147
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280147
HANDLE: http://hdl.handle.net/10261/280147
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280147
PMID: http://hdl.handle.net/10261/280147
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280147
Ver en: http://hdl.handle.net/10261/280147
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280147

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280149
Dataset. 2018

HERBARIO MAIA, COLECCIÓN FLORA FORESTAL ESPAÑOLA DEL INIA-CIFOR

  • Cruz Calleja, Ana Carmen de la
El actual Herbario “MAIA” procede de las colecciones del antiguo Instituto Forestal de Investigaciones y Experiencias, constituidas esencialmente por muestras de plantas leñosas de la flora española o cultivadas en España., Herbario MAIA (INIA)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/280149
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280149
HANDLE: http://hdl.handle.net/10261/280149
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280149
PMID: http://hdl.handle.net/10261/280149
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280149
Ver en: http://hdl.handle.net/10261/280149
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280149

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280150
Dataset. 2019

SUPREMET HACKATHON

  • González-Recio, Oscar
This data set contains information on the rumen microbiome of 340 dairy cows, sequenced within the METALGEN project (RTA2015-00022-C03).-- Sequenced with a MinION from Oxford Nanopore Technology., The purpose of this data set is to serve as a training exercise to predict a complex phenotype using metagenomic data within the workshop SUPREMET 2019 "Supercomputación para la predicción de enfermedades y caracteres complejos usando información del metagenoma"., METALGEN, Ministerio de Ciencia, Innovación y Universidades, RTA2015-00022-C03., Peer reviewed

DOI: http://hdl.handle.net/10261/280150
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280150
HANDLE: http://hdl.handle.net/10261/280150
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280150
PMID: http://hdl.handle.net/10261/280150
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280150
Ver en: http://hdl.handle.net/10261/280150
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280150

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280152
Dataset. 2019

INVENTARIO NACIONAL DE RECURSOS FITOGENÉTICOS CEREALES DE INVIERNO

  • Rosa, Lucía de la
  • García, Rosa M.
Cereales de invierno 2020., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/280152
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280152
HANDLE: http://hdl.handle.net/10261/280152
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280152
PMID: http://hdl.handle.net/10261/280152
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280152
Ver en: http://hdl.handle.net/10261/280152
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280152

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280163
Dataset. 2022

DATASETS OF "SOLUTE TRAPPING AND THE MECHANISMS OF NON-FICKIAN TRANSPORT IN PARTIALLY SATURATED POROUS MEDIA"

  • Ben-Noah, Ilan
  • Hidalgo, Juan J.
  • Jiménez-Martínez, Joaquín
  • Dentz, Marco
[Methodological information] Velocity probability density functions (vpdfs) and breakthrough curves (BTC) for different saturation degrees (65, 70, 80, and 100) and molecular diffusion coefficents (D) were calculated from direct numerical simulation using COMSOL multiphysics as described in the paper "Solute Trapping and the Mechanisms of Non-Fickian Transport in Partially Saturated Porous Media", With funding from the Spanish government through the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2018-000794-S)., I.B.N, M.D. acknowledge funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. HORIZON-MSCA-2021-PF-01 (USFT). I.B.N. , J.J.H. and M.D. acknowledge the support of the Spanish Research Agency (10.13039/501100011033), Spanish Ministry of Science and Innovation through grants CEX2018-000794-S and HydroPore PID2019-106887GB-C31. J.J.H. acknowledges the support of the Spanish Research Agency (10.13039/501100011033), the Spanish Ministry of Science and Innovation and the European Social Fund ``Investing in your future'' through the ``Ram\'on y Cajal'' fellowship (RYC-2017-22300). J.J.M. gratefully acknowledges the financial support from the Swiss National Science Foundation (SNF, grant nr. 200021 178986)., Peer reviewed

DOI: http://hdl.handle.net/10261/280163, https://doi.org/10.20350/digitalCSIC/14753
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280163
HANDLE: http://hdl.handle.net/10261/280163, https://doi.org/10.20350/digitalCSIC/14753
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280163
PMID: http://hdl.handle.net/10261/280163, https://doi.org/10.20350/digitalCSIC/14753
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280163
Ver en: http://hdl.handle.net/10261/280163, https://doi.org/10.20350/digitalCSIC/14753
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280163

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280235
Dataset. 2022

DOES THE TEMPERATURE-SIZE RULE APPLY TO MARINE PROTOZOANS AFTER PROPER ACCLIMATION? [DATASET]

  • Calbet, Albert
  • Saiz, Enric
The temperature-size rule hypothesized that there is a negative relationship between the size (volume) of an organism and the temperature. This applies to both unicellular and pluricellular organisms. Here, we question this hypothesis for the particular case of protozoans, because in these organisms the volume is directly related to the consumption of prey, and on most of the occasions the true volume of the cell is unknown. To prove our arguments, we designed a series of experiments with the heterotrophic dinoflagellate O. marina, including functional and numerical responses, time-dependent acclimation responses, and estimation of the protozoan volume during long periods of starvation. Our data showed that, in fact, the observed temperature-size rule in unicellular grazers results from anabolic and catabolic imbalances, and that the relationship between size and temperature weakens after proper thermal adaptation. We also showed that once prey are fully digested, the protozoan’ size is the same irrespectively of the temperature. Finally, we set the basis for proper acclimation during short-term temperature experiments, which specifies that at least 3 days should be allowed for proper temperature acclimation. We also suggest that, for trustable experiments, the grazer should be incubated at the target prey concentration for at least 24h before conducting the experiments. The ecological implications of a lack of correlation between microzooplankton size and temperature are also discussed, This research was funded by Grant PID2020-118645RB-I00 by Ministerio de Ciencia e innovación (MCIN)/AEI/ 10.13039/501100011033 and by “ERDF A way of making Europe”. It is a contribution of the Marine Zooplankton Ecology Group (2017 SGR 87). With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), Para Oxyrrhis marina: Tasas de ingestion a diferentes concentraciones de alimento (presa/ind/d), Tasa crecimiento (µ 1/d), Volumen (µm3); para la presa (Rhodomonas salina): volume (µm3), Peer reviewed

DOI: http://hdl.handle.net/10261/280235, https://doi.org/10.20350/digitalCSIC/14754
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280235
HANDLE: http://hdl.handle.net/10261/280235, https://doi.org/10.20350/digitalCSIC/14754
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280235
PMID: http://hdl.handle.net/10261/280235, https://doi.org/10.20350/digitalCSIC/14754
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280235
Ver en: http://hdl.handle.net/10261/280235, https://doi.org/10.20350/digitalCSIC/14754
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280235

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280249
Dataset. 2022

TOTAL DATA_BA

  • Casado, Marta
Methods 20 μL of plasma samples were spiked with deuterated internal standards stock solution. Then proteins were precipitated and supernatants were dried and reconstituted in methanol:water (50:50, V/V). Besides, approximately 50 mg of each tissue were placed in 2 ml tubes containing CK14 ceramic beads (Precellys). For each 50 mg of tissue, 300 μl of methanol and the deuterated internal standards were added and tissues were homogenized in a Precellys 24 Dual system equipped with a Criolys cooler (Precellys). Samples were analyzed using an Acquity UPLC system (Waters, UK) equipped with an Acquity UPLC BEH C18 column (1.7μm, 2.1 x 100 mm; Waters). The MS analysis was performed using a Waters Xevo TQ-XS mass spectrometer (Waters) with an ESI source working in the negative-ion mode., Cyclooxygenase-2 (COX-2) is involved in different liver diseases, but little is known about the significance of COX-2 or its metabolites in cholestatic injury. This study was designed to elucidate the role of COX-2 expression during the pathogenesis of cholestasis. Thus, we investigated the mechanisms underlying the role of COX-2 and its derived prostaglandins in modulating cell survival, inflammation, oxidative stress status and the synthesis and excretion of bile acids (BA) in response to cholestatic liver injury. We used genetically modified mice constitutively expressing human COX-2 (hCOX-2-Tg) specifically in hepatocytes. Transgenic mice (hCOX-2-Tg) and their wild-type (Wt) littermates were either subjected to a common bile duct ligation (BDL) to establish an experimental model of obstructive cholestasis. We performed an exhaustive analysis of the different types of bile acids (total, primary, secondary, conjugated, non-conjugated and hydrophilic, α-, β- and ω-muricholic acid) in plasma and in liver tissue from Wt and h-COX-2 Tg mice. Samples were analyzed at Instituto de Investigación Sanitaria La Fe (Valencia, Spain) detecting a total of 31 analytes., Ministerio de Ciencia e Innovación/Agencia Estatal de Investigación 10.13039/501100011033 (PID2019-108977RB-I00), No

DOI: http://hdl.handle.net/10261/280249, https://doi.org/10.20350/digitalCSIC/14755
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280249
HANDLE: http://hdl.handle.net/10261/280249, https://doi.org/10.20350/digitalCSIC/14755
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280249
PMID: http://hdl.handle.net/10261/280249, https://doi.org/10.20350/digitalCSIC/14755
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280249
Ver en: http://hdl.handle.net/10261/280249, https://doi.org/10.20350/digitalCSIC/14755
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280249

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280295
Dataset. 2022

DRIVERS OF POPULATION DIFFERENTIATION IN PHENOTYPIC PLASTICITY IN A TEMPERATE CONIFER: A 27-YEAR STUDY [DATASET]

DRIVERS OF PHENOTYPIC PLASTICITY IN A FOREST TREE [DATASET]

  • Mata Pombo, Raúl de la
[EN] These project improve our understanding of the microevolutionary drivers of phenotypic plasticity, a critical process for resilience of long-lived species under climate change, and support decision making in tree genetic improvement programs and seed transfer strategies. The dataset compiles the three common garden tests (Condon, Lubrecht and Little Wolf) established in western Montana (USA) followed a Population × Family structure. Seeds were collected from 115 open-pollinated, unrelated wild mother trees in the 23 populations. Every population was represented by 5 open-pollinated families and every family was planted in all three trials. One-year-old bare-root seedlings were planted in 1974 on a 3 × 3 m spacing using a randomized complete block design at the family level with 4-tree-row plots and 5 blocks in each site. Tree growth was measured as tree height at ages 2, 4, 5, 11, 16, 21 and 27, and diameter at breast height (DBH; 1.4 m above ground) at ages 5, 11, 16, 21 and 27. DBH at age 27 was chosen as the best predictor of genetic growth potential in these trials. Means and standard errors of DBH27 were compueted at the family level within each site., The Barrié Foundation provided postdoctoral support to Raúl de Mata (EDB-CSIC). The Inland Empire Tree Improvement Cooperative (Montana, USA) collected the data and Raúl de Mata (EDB-CSIC) processed the data. This project was partially funded by a McIntire-Stennis Cooperative Forestry Research Grant MONZ-1206 from the College of Forestry and Conservation of the University of Montana., No

Proyecto: //
DOI: http://hdl.handle.net/10261/280295, https://doi.org/10.20350/digitalCSIC/14756
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280295
HANDLE: http://hdl.handle.net/10261/280295, https://doi.org/10.20350/digitalCSIC/14756
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280295
PMID: http://hdl.handle.net/10261/280295, https://doi.org/10.20350/digitalCSIC/14756
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280295
Ver en: http://hdl.handle.net/10261/280295, https://doi.org/10.20350/digitalCSIC/14756
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280295

Buscador avanzado