Resultados totales (Incluyendo duplicados): 34304
Encontrada(s) 3431 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310345
Dataset. 2023

SUPPLEMENTARY APPENDIX. ALL-TRANS RETINOIC ACID WORKS SYNERGISTICALLY WITH THE Γ- SECRETASE INHIBITOR CRENIGACESTAT TO AUGMENT BCMA ON MULTIPLE MYELOMA AND THE EFFICACY OF BCMA-CAR T CELLS

  • García-Guerrero, Estefanía
  • Rodríguez-Lobato, Luis G
  • Sierro-Martínez, Belén
  • Danhof, Sophia
  • Bates, Stephan
  • Frenz, Silke
  • Haertle, Larissa
  • Götz, Ralph
  • Sauer, Markus
  • Rasche, Leo
  • Kortüm, K Martin
  • Pérez-Simón, José A.
  • Einsele, Hermann
  • Hudecek, Michael
  • Prommersberger, Sabrina R.
Supplement Figure 1: ATRA treatment does not affect the viability of myeloma cell lines. MM.1S, OPM-2 and NCI-H929 cells were treated with ATRA for up to 72 hours. Cell viability was measured by flow cytometry and 7AAD staining (n=6). Bar diagrams show mean values +SD., Supplement Figure 2: ATRA plus crenigacestat treatment enhance BCMA expression on myeloma cell lines. Bar diagram shows BCMA expression on OPM-2 cells (n=3) after treatment with 100 nM ATRA and/or 10 nM GSI crenigacestat for 72 hours. Bar diagram shows mean values +SD. P-values between indicated groups were calculated using unpaired t-test. *p<0.05, **p<0.01., Supplement Figure 3: ATRA treatment leads to increased BCMA transcripts in OPM-2 myeloma cells. BCMA RNA levels in OPM-2 were analyzed by quantitative reverse transcription PCR (qRT-PCR) assay after incubation with increasing doses of ATRA for 48 hours (n=3). Bar diagram shows mean values +SD. P-values between indicated groups were calculated using unpaired t-test. *p<0.05., Supplement Figure 4: ATRA treatment leads to enhanced BCMA expression on primary myeloma cells. Representative flow cytometric analysis of BCMA expression on primary myeloma cells that had been cultured in the absence or presence of ATRA at different concentrations for 72 hours. 7-AAD was used to exclude dead cells from analysis., Supplement Figure 5: ATRA treatment does not impair viability of primary myeloma cells. Viability of primary myeloma cells with or without 72 hours of ATRA treatment was analyzed by flow cytometry and 7-AAD staining (n=5 biological replicates). Bar diagram shows mean values +SD., Supplement Figure 6: sBCMA does not impair BCMA CAR T cell functionality. CD8+ BCMA-CAR T-cells were co-cultured with MM.1S target cells in absence or presence of 150 ng/ml of soluble BCMA. After 4 hours, cytotoxicity was evaluated by bioluminescence- based assay. Diagram shows mean values +/-SD., Supplement Figure 7: ATRA treatment does not increase shedding of sBCMA. sBCMA concentration in the supernatant of OPM-2 and NCI-H929 after incubation with increasing doses of ATRA was analyzed by ELISA. Cell lines were cultured at 1x106/well (n=3 technical replicates). Bar diagrams show mean values +SD, P-values between indicated groups were calculated using 2way ANOVA. n.s. = not significant, *p<0.05, **p<0.01., Supplement Figure 8: BCMA-CAR T-cells confer enhanced cytotoxicity against ATRA plus crenigacestat-treated OPM-2 cells in vitro. OPM-2 cells were incubated with 100 nM ATRA and/or 10 nM GSI for 72 hours or were left untreated. Cytolytic activity of CD8+ BCMA- CAR T-cells was determined in a bioluminescence-based assay after 4h of co-incubation with target cells. Assay was performed in triplicate wells with 5,000 target cells per well. Data are presented as mean values +SD (n=4 biological replicates). P-values between indicated groups were calculated using unpaired t-test. n.s. = not significant, *p<0.05., Supplement Figure 9: Patient-derived BCMA-CAR T-cells confer enhanced cytotoxicity against ATRA-treated MM.1S cells. MM.1S cells were incubated with 50 nM ATRA for 72 hours or were left untreated. Cytolytic activity of MM patient-derived CD8+ BCMA-CAR T-cells was determined in a bioluminescence-based assay after 4h of co-incubation with target cells. Data are presented as mean values +SD of triplicate wells. P-values between indicated groups were calculated using unpaired t-test. *p<0.05, **p<0.01., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310345
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310345
HANDLE: http://hdl.handle.net/10261/310345
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310345
PMID: http://hdl.handle.net/10261/310345
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310345
Ver en: http://hdl.handle.net/10261/310345
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310345

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310353
Dataset. 2022

INFLUENCE OF ICE FORMATION ON THE DYNAMIC AND THERMODYNAMIC PROPERTIES OF AQUEOUS SOLUTIONS: SUPPLEMENTARY DATA 1

  • Melillo, Jorge
  • Swenson, Jan
  • Cerveny, Silvina
Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310353
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310353
HANDLE: http://hdl.handle.net/10261/310353
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310353
PMID: http://hdl.handle.net/10261/310353
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310353
Ver en: http://hdl.handle.net/10261/310353
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310353

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310354
Dataset. 2022

MICRO CT-SCAN 3D RENDERING

  • Avian, Massimo
  • Mancini, Lucia
  • Voltolini, Marco
  • Bonnet, D.
  • Dreossi, Diego
  • Macaluso, Vanessa
  • Pillepich, Nicole
  • Prieto, Laura
  • Ramšak, A.
  • Terlizzi, Antonio
  • Motta, Gregorio
360° animation of the whole endocast evidencing the different structures: umbrella (green), scapulae (blue), central canal (yellow), oral arms (red)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310354
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310354
HANDLE: http://hdl.handle.net/10261/310354
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310354
PMID: http://hdl.handle.net/10261/310354
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310354
Ver en: http://hdl.handle.net/10261/310354
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310354

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310362
Dataset. 2022

A MOLECULAR DYNAMICS STUDY OF N–A–S–H GEL WITH VARIOUS SI/AL RATIOS: SUPPORTING MATERIALS

  • Chen, Yun
  • Dolado, Jorge S.
  • Li, Zhenming
  • Yin, Suhong
  • Yu, Qijun
  • Kostiuchenko, Albina
  • Ye, Guang
Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310362
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310362
HANDLE: http://hdl.handle.net/10261/310362
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310362
PMID: http://hdl.handle.net/10261/310362
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310362
Ver en: http://hdl.handle.net/10261/310362
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310362

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310404
Dataset. 2022

SUPPLEMENTARY MATERIALS: APPROACHING POLYMER DYNAMICS COMBINING ARTIFICIAL NEURAL NETWORKS AND ELASTICALLY COLLECTIVE NONLINEAR LANGEVIN EQUATION

  • Miccio, Luis A.
  • Borredon, Claudia
  • Casado, Ulises
  • Phan, Anh D.
  • Schwartz, Gustavo A.
Table S1. The list of polyacrylates used in this work; Table S2. Parameters of the Vogel-Fulcher-Tammann (VFT) equation for the external control group; Figure S1. Schematic picture of the encoding process; Table S3. The number of filters and window sizes in the convolutional layers and the number of neurons in the fully connected layers; Figure S2. Shows the predicted vs experimental Tg values for the internal subset of polyacrylates after finishing the training process; Table S4. ECNLE caltulations; Figure S3. Relative deviations (Experimental – Predicted) / Experimental (in %) histogram for the training and internal test sets (a). The chemical structures for those molecules with more significant relative deviations are shown in (b). Figure S4. Glass transition temperature dependence of the model adjustable parameter a for several polymers and glass formers., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310404
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310404
HANDLE: http://hdl.handle.net/10261/310404
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310404
PMID: http://hdl.handle.net/10261/310404
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310404
Ver en: http://hdl.handle.net/10261/310404
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310404

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310405
Dataset. 2022

CHANGES IN THE STRUCTURE OF SEED DISPERSAL NETWORKS WHEN INCLUDING INTERACTION OUTCOMES FROM BOTH PLANT AND ANIMAL PERSPECTIVES

  • González-Castro, Aarón
  • Morán-López, Teresa
  • Nogales, Manuel
  • Traveset, Anna
Simulations_outputs.RData file contains results from simulations performed to obtain: IF (interaction frequency), FRP (fruit resource provisioning) and SDE (seed dispersal effectiveness) networks. Datasets are organized in arrays that have the structure [plants, animals, repetitions]. For example, FRP[,,1] contains the first repetition for the fruit resource provisioning network. -- Dryad_upload.xls file contains mean networks (across 10000 repetitions) of IF, FRP and SDE. -- Also, results from stochastic coextinction models (SCMs) according to scripts provided by Vieira et al. 2015 (https://doi.org/10.1111/ele.12394). -- Full description of field methods can be found in the article main text, as well as in González-Castro et al. 2015 (https://doi.org/10.1890/14-0655.1). -- Full description of simulations to obtain IF, SDE and FRP networks can be found in the main text and in the supplementary material. -- Read_me.txt contains a more detailed description of files uploaded., Interaction frequency is the most common currency in quantitative ecological networks, although interaction quality can also affect benefits provided by mutualisms. Here, we evaluate if interaction quality can modify network topology, species’ role and whether such changes affect community vulnerability to species loss. We use a well-examined study system (bird-lizard and fleshy-fruited plants in the ‘thermophilous’ woodland of the Canary Islands) to compare network and species-level metrics from a network based on fruit consumption rates (Interaction Frequency, IF), against networks reflecting functional outcomes: a Seed Dispersal Effectiveness network (SDE) quantifying recruitment, and a Fruit Resource Provisioning network (FRP), accounting for the nutrient supply of fruits. Nestedness decreased in the FRP and the SDE networks, due to the lack of association between fruit consumption rates and (1) nutrient content, and (2) recruitment at the seed deposition sites, respectively. The FRP network showed lower niche overlap due to resource use complementarity among frugivores. Interaction evenness was lower in the SDE network, in response to a higher dominance of lizards in the recruitment of heliophilous species. Such changes, however, did not result in enhanced vulnerability against extinctions. At the plant species level, strength changed in the FRP network in frequently consumed or highly nutritious species. The number of effective partners decreased for species whose seeds were deposited in unsuitable places for recruitment. In frugivores, strength was consistent across networks (SDE vs IF), showing that consumption rates outweighed differences in dispersal quality. In the case of lizards, the increased importance of nutrient-rich species resulted in a higher number of effective partners. Our work shows that although frequency strongly impacts interaction effects, accounting for quality improves our inferences about interaction assembly and species role. Thus, future studies including interaction outcomes from both partners’ perspectives will provide valuable insights about the net effects of mutualistic interactions., Data from manuscript "Changes in the structure of seed dispersal networks when including interaction outcomes from both plant and animal perspectives", Ministerio de Ciencia e Innovación, Award: CGL2007-61165/BOS Ministerio de Ciencia e Innovación, Award: CGL2017-88122-P Cabildo de Tenerife, Award: "Tenerife 2030" (P. INNOVA 2016-2021), Peer reviewed

DOI: http://hdl.handle.net/10261/310405
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310405
HANDLE: http://hdl.handle.net/10261/310405
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310405
PMID: http://hdl.handle.net/10261/310405
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310405
Ver en: http://hdl.handle.net/10261/310405
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310405

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310407
Dataset. 2022

ESTIMATING GLASS TRANSITION TEMPERATURE AND RELATED DYNAMICS OF MOLECULAR GLASS FORMERS COMBINING ARTIFICIAL NEURAL NETWORKS AND DISORDERED SYSTEMS THEORY: SUPPLEMENTARY DATA

  • Borredon, Claudia
  • Miccio, Luis A.
  • Phan, Anh D.
  • Schwartz, Gustavo A.
Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310407
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310407
HANDLE: http://hdl.handle.net/10261/310407
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310407
PMID: http://hdl.handle.net/10261/310407
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310407
Ver en: http://hdl.handle.net/10261/310407
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310407

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310411
Dataset. 2022

SUPPORTING INFORMATION FOR SPIN HALL MAGNETORESISTANCE EFFECT FROM A DISORDERED INTERFACE

  • Catalano, Sara
  • Gomez-Perez, Juan M.
  • Xochitl Aguilar-Pujol, M.
  • Chuvilin, Andrey
  • Gobbi, Marco
  • Hueso, Luis E.
  • Casanova, Félix
ADMR and FDMR of the control sample consisting of TaOx/Cu/Ti/MnPSe3; ADMR measured in the transversal configuration in the α plane, at T = 50, 90, and 150 K; FDMR measured in the transversal configuration in the α plane at T = 50 K and T = 90 K; TEM cross-section and EDX profile of a measured device; and discussion of the HMR mechanism (PDF)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310411
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310411
HANDLE: http://hdl.handle.net/10261/310411
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310411
PMID: http://hdl.handle.net/10261/310411
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310411
Ver en: http://hdl.handle.net/10261/310411
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310411

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310415
Dataset. 2022

SUPPLEMENTARY INFORMATION: ELECTRON PARAMAGNETIC RESONANCE OF ALKALI METAL ATOMS AND DIMERS ON ULTRATHIN MGO

  • Kovarik, Stepan
  • Robles, Roberto
  • Schlitz, Richard
  • Seifert, Tom Sebastian
  • Lorente, Nicolás
  • Gambardella, Pietro
  • Stepanow, Sebastian
Additional EPR-STM data, measurement of EPR-STM on Li2 at different experimental parameters, analysis of differential conductance spectra of Li2, identification of the binding configurations of alkali metals, additional details of DFT calculations (PDF)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310415
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310415
HANDLE: http://hdl.handle.net/10261/310415
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310415
PMID: http://hdl.handle.net/10261/310415
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310415
Ver en: http://hdl.handle.net/10261/310415
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310415

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310423
Dataset. 2022

SUPPORTING INFORMATION FOR MAGNETIC INTERACTIONS BETWEEN RADICAL PAIRS IN CHIRAL GRAPHENE NANORIBBONS

  • Wang, Tao
  • Sanz, Sofía
  • Castro-Esteban, Jesús
  • Lawrence, James
  • Berdonces-Layunta, Alejandro
  • Mohammed, Mohammed S. G.
  • Vilas-Varela, Manuel
  • Corso, Martina
  • Peña, Diego
  • Frederiksen, Thomas
  • Oteyza, D. G. de
Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310423
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310423
HANDLE: http://hdl.handle.net/10261/310423
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310423
PMID: http://hdl.handle.net/10261/310423
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310423
Ver en: http://hdl.handle.net/10261/310423
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310423

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